A survey of GPT-3 family large language models including ChatGPT and GPT-4

Kalyan, Katikapalli Subramanyam·2024·Natural Language Processing Journal

Cites (500)

Items 201–400 of 500

  1. AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
    Rongjie Huang, Mingze Li, Dongchao Yang, Jiatong Shi, Xuankai Chang, Zhenhui Ye, Yuning Wu, Zhiqing Hong, Jiawei Huang, Jinglin Liu et al. · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  2. A Survey of Evaluation Metrics Used for NLG Systems
    Sai, Ananya B., Mohankumar, Akash Kumar, Khapra, Mitesh M. · 2023 · ACM Computing Surveys
  3. Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
    Rishabh Bhardwaj, Soujanya Poria · 2023 · arXiv (Cornell University)
  4. Is chatGPT a good nlg evaluator? A preliminary study
    Wang, Jiaan, Liang, Yunlong, Meng, Fandong, Sun, Zengkui, Shi, Haoxiang, Li, Zhixu, Xu, Jinan, Qu, Jianfeng, Zhou, Jie · 2023 · Proceedings of the 4th New Frontiers in Summarization Workshop
  5. ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning
    Lai, Viet, Ngo, Nghia, Pouran Ben Veyseh, Amir, Man, Hieu, Dernoncourt, Franck, Bui, Trung, Nguyen, Thien · 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  6. A survey of safety and trustworthiness of large language models through the lens of verification and validation
    Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Qi Yi, Xingyu Zhao et al. · 2024 · Artificial Intelligence Review
  7. Cross-Domain Recommendation: Challenges, Progress, and Prospects
    Feng Zhu, Yan Wang, Chaochao Chen, Jun Wei Zhou, Longfei Li, Guanfeng Liu · 2021 · International Joint Conference on Artificial Intelligence
  8. Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
    Bo Li, Gexiang Fang, Yang Yang, Quan-Sen Wang, Wei Ye, Wen Zhao, Shi-Kun Zhang · 2023 · arXiv.org
  9. ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text
    Sandra Mitrović, Davide Andreoletti, Omran Ayoub · 2023 · arXiv (Cornell University)
  10. Benchmarking large language models for biomedical natural language processing applications and recommendations
    Chen, Qingyu, Hu, Yan, Peng, Xueqing, Xie, Qianqian, Jin, Qiao, Gilson, Aidan, Singer, Maxwell B., Ai, Xuguang, Lai, Po-Ting, Wang, Zhizheng et al. · 2025 · Nature Communications
  11. CodeGen2: Lessons for Training LLMs on Programming and Natural Languages
    Erik Nijkamp, Hayashi, Hiroaki, Caiming Xiong, Silvio Savarese, Yingbo Zhou · 2023 · arXiv (Cornell University)
  12. Transforming sentiment analysis in the financial domain with ChatGPT
    Georgios Fatouros, John K. Soldatos, Kalliopi Kouroumali, Georgios Makridis, Dimosthenis Kyriazis · 2023 · Machine Learning with Applications
  13. Dense Text Retrieval Based on Pretrained Language Models: A Survey
    Zhao, Wayne Xin, Liu, Jing, Ren, Ruiyang, Wen, Ji-Rong · 2024 · ACM Transactions on Information Systems
  14. Comparing Code Explanations Created by Students and Large Language Models
    Leinonen, Juho, Denny, Paul, MacNeil, Stephen, Sarsa, Sami, Bernstein, Seth, Kim, Joanne, Tran, Andrew, Hellas, Arto · 2023 · Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1
  15. CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
    Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang · 2022 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  16. Revisiting Relation Extraction in the era of Large Language Models
    Wadhwa, Somin, Amir, Silvio, Wallace, Byron · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  17. How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation
    Hendy, Amr, Abdelrehim, Mohamed, Sharaf, Amr, Raunak, Vikas, Gabr, Mohamed, Matsushita, Hitokazu, Kim, Young Jin, Afify, Mohamed, Awadalla, Hany Hassan · 2023 · arXiv
  18. Are Emergent Abilities of Large Language Models a Mirage?
    Schaeffer, Rylan, Miranda, Brando, Koyejo, Sanmi · 2023 · arXiv
  19. Untitled work
    2023 · 10.52202/075280-2425
  20. Evaluating large language models on a highly-specialized topic, radiation oncology physics
    Jason Holmes, Zhengliang Liu, Lian Zhang, Yuzhen Ding, Terence Tai Weng Sio, L.A. McGee, Jonathan B. Ashman, Xiang Li, Tianming Liu, Jiajian Shen et al. · 2023 · Frontiers in Oncology
  21. Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
    Wu, Chenfei, Yin, Shengming, Qi, Weizhen, Wang, Xiaodong, Tang, Zecheng, Duan, Nan · 2023 · arXiv
  22. Challenges and Applications of Large Language Models
    Kaddour, Jean, Harris, Joshua, Mozes, Maximilian, Bradley, Herbie, Raileanu, Roberta, McHardy, Robert · 2023 · arXiv
  23. Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
    Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He · 2023 · ACM Conference on Recommender Systems (RecSys)
  24. Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation
    Fang, Tao, Yang, Shu, Kaixin Lan, Derek F. Wong, Jinpeng Hu, Lidia Sam Chao, Yue Zhang · 2023 · arXiv (Cornell University)
  25. Neural machine translation: A review of methods, resources, and tools
    Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu · 2020 · AI Open
  26. Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
    Yubo Ma, Yixin Cao, Yong Sik Hong, Aixin Sun · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  27. One Embedder, Any Task: Instruction-Finetuned Text Embeddings
    Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf E, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  28. Instruction Tuning with GPT-4
    Peng, Baolin, Li, Chunyuan, He, Pengcheng, Galley, Michel, Gao, Jianfeng · 2023 · arXiv
  29. Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks
    Yi-Ming Zhu, Peixian Zhang, Ehsan-Ul Haq, Pan Hui, Gareth Tyson · 2023 · arXiv.org
  30. Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
    Bernal Jiménez Gutiérrez, Nikolas McNeal, Clay Washington, You Chen, Lang Li, Huan Sun, Yu Su · 2022 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  31. A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
    Junjie Ye, Xuanting Chen, Xu, Nuo, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zhou, Zeyang, Chao Gong, Yang Shen et al. · 2023 · arXiv (Cornell University)
  32. A Survey of Deep Learning Techniques for Neural Machine Translation
    Shuoheng Yang, Yuxin Wang, Xiaowen Chu · 2020 · arXiv (Cornell University)
  33. Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT
    Amin, Mostafa M., Cambria, Erik, Schuller, Björn W. · 2023 · IEEE Intelligent Systems
  34. Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study
    Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Quanzheng Li et al. · 2023 · JMIR Medical Education
  35. Exploring Human-Like Translation Strategy with Large Language Models
    Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang, Zhaopeng Tu, Shuming Shi, Xing Wang · 2024 · Transactions of the Association for Computational Linguistics
  36. ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT
    Wei, Xiang, Xingyu Cui, Ning Cheng, Xiaobin Wang, Xin Zhang, Shen Huang, Pengjun Xie, Jinan Xu, Yufeng Chen, Meishan Zhang et al. · 2023 · arXiv (Cornell University)
  37. Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback
    Peng, Baolin, Galley, Michel, He, Pengcheng, Cheng, Hao, Xie, Yujia, Hu, Yu, Huang, Qiuyuan, Liden, Lars, Yu, Zhou, Chen, Weizhu et al. · 2023 · arXiv
  38. Legalbench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
    Guha, Neel, Nyarko, Julian, Ho, Daniel E., Ré, Christopher, Chilton, Adam, Narayana, Aditya, Chohlas-Wood, Alex, Peters, Austin, Waldon, Brandon, Rockmore, Daniel et al. · 2023
  39. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
    Zhu, Kaijie, Wang, Jindong, Zhou, Jiaheng, Wang, Zichen, Chen, Hao, Wang, Yidong, Yang, Linyi, Ye, Wei, Zhang, Yue, Gong, Neil Zhenqiang et al. · 2023 · arXiv
  40. ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning
    Törnberg, Petter · 2023 · arXiv
  41. Med-HALT: Medical Domain Hallucination Test for Large Language Models
    Pal, Ankit, Umapathi, Logesh Kumar, Sankarasubbu, Malaikannan · 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
  42. Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
    Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao · 2022 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  43. DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
    Mitchell, Eric, Lee, Yoonho, Khazatsky, Alexander, Manning, Christopher D., Finn, Chelsea · 2023 · arXiv
  44. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
    Zhu, Kaijie, Wang, Jindong, Zhou, Jiaheng, Wang, Zichen, Chen, Hao, Wang, Yidong, Yang, Linyi, Ye, Wei, Zhang, Yue, Gong, Neil et al. · 2023 · Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis
  45. Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
    Krishna, Kalpesh, Song, Yixiao, Karpinska, Marzena, Wieting, John, Iyyer, Mohit · 2023 · arXiv
  46. WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research
    Mei, Xinhao, Meng, Chutong, Liu, Haohe, Kong, Qiuqiang, Ko, Tom, Zhao, Chengqi, Plumbley, Mark D., Zou, Yuexian, Wang, Wenwu · 2024 · IEEE/ACM Transactions on Audio, Speech, and Language Processing
  47. Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
    Krishna, Kalpesh, Song, Yixiao, Karpinska, Marzena, Wieting, John, Iyyer, Mohit · 2023 · Advances in Neural Information Processing Systems 36
  48. UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus
    George Michalopoulos, Yuanxin Wang, Hussam Kaka, Helen Chen, Alexander K.C. Wong · 2021 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
  49. Is GPT-3 a Good Data Annotator?
    Ding, Bosheng, Qin, Chengwei, Liu, Linlin, Chia, Yew Ken, Li, Boyang, Joty, Shafiq, Bing, Lidong · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  50. CTRLsum: Towards Generic Controllable Text Summarization
    Junxian He, Wojciech Kryściński, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  51. CoTexT: Multi-task Learning with Code-Text Transformer
    Long Phan, Hieu Tran, Daniel X. Le, Hieu Nguyen, James Anibal, Alec Peltekian, Yanfang Ye · 2021
  52. ChatAug: Leveraging ChatGPT for Text Data Augmentation
    Hai-Xing Dai, Zheng Liu, Wenxiong Liao, Xiao-Ke Huang, Zihao Wu, Lin Zhao, W. Liu, Ning-Hao Liu, Sheng Li, Da-Jiang Zhu et al. · 2023 · arXiv.org
  53. Conversational question answering: a survey
    Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Yang Zhang · 2022 · Knowledge and Information Systems
  54. Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT
    Zhong, Qihuang, Ding, Liang, Liu, Juhua, Du, Bo, Tao, Dacheng · 2023 · arXiv
  55. Packed Levitated Marker for Entity and Relation Extraction
    Ye, Deming, Lin, Yankai, Li, Peng, Sun, Maosong · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  56. GPT-NER: Named Entity Recognition via Large Language Models
    Shuhe Wang, Xiaofei Sun, Xiaoya Li · 2023 · arXiv (Cornell University)
  57. GPTutor: A ChatGPT-Powered Programming Tool for Code Explanation
    Eason Chen, Ray Huang, Han-Shin Chen, Yuen‐Hsien Tseng, Liang‐Yi Li · 2023 · Communications in computer and information science
  58. LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
    Feng, Weixi, Zhu, Wanrong, Fu, Tsu-jui, Jampani, Varun, Akula, Arjun, He, Xuehai, Basu, Sugato, Wang, Xin Eric, Wang, William Yang · 2023 · arXiv
  59. Evaluation of ChatGPT for NLP-based Mental Health Applications
    Bishal Lamichhane · 2023 · arXiv (Cornell University)
  60. “HOT” ChatGPT: The Promise of ChatGPT in Detecting and Discriminating Hateful, Offensive, and Toxic Comments on Social Media
    Lingyao Li, Lizhou Fan, Shubham Atreja, Libby Hemphill · 2024 · ACM Transactions on the Web
  61. An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT
    Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Fang Zeng, Xi Jiang, Lei Guo, Xiaoyan Cai et al. · 2024 · IEEE Transactions on Artificial Intelligence
  62. Textbooks Are All You Need
    Gunasekar, Suriya, Zhang, Yi, Aneja, Jyoti, Mendes, Caio César Teodoro, Del Giorno, Allie, Gopi, Sivakanth, Javaheripi, Mojan, Kauffmann, Piero, de Rosa, Gustavo, Saarikivi, Olli et al. · 2023 · arXiv
  63. Large Language Models are not Fair Evaluators
    Wang, Peiyi, Li, Lei, Chen, Liang, Cai, Zefan, Zhu, Dawei, Lin, Binghuai, Cao, Yunbo, Kong, Lingpeng, Liu, Qi, Liu, Tianyu et al. · 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  64. Leveraging Large Language Models for Multiple Choice Question Answering
    Joshua A. Robinson, Christopher Michael Rytting, David Wingate · 2022 · arXiv (Cornell University)
  65. Findings of the Association for Computational Linguistics: NAACL 2022
    2022
  66. Improving alignment of dialogue agents via targeted human judgements
    Glaese, Amelia, McAleese, Nat, Trębacz, Maja, Aslanides, John, Firoiu, Vlad, Ewalds, Timo, Rauh, Maribeth, Weidinger, Laura, Chadwick, Martin, Thacker, Phoebe et al. · 2022 · arXiv
  67. Assessing the utility of ChatGPT throughout the entire clinical workflow
    Rao, Arya, Pang, Michael, Kim, John, Kamineni, Meghana, Lie, Winston, Prasad, Anoop K., Landman, Adam, Dreyer, Keith J, Succi, Marc D. · 2023
  68. Legal Prompting: Teaching a Language Model to Think Like a Lawyer
    Fangyi Yu, Lee Quartey, Frank Schilder · 2022 · arXiv (Cornell University)
  69. Findings of the Association for Computational Linguistics: EACL 2023
    2023
  70. A Survey of Hallucination in Large Foundation Models
    Rawte, Vipula, Sheth, Amit, Das, Amitava · 2023 · arXiv
  71. BioELECTRA:Pretrained Biomedical text Encoder using Discriminators
    Kamal raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu · 2021 · Workshop on Biomedical Language Processing (BioNLP)
  72. AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
    Huang, Rongjie, Li, Mingze, Yang, Dongchao, Shi, Jiatong, Chang, Xuankai, Ye, Zhenhui, Wu, Yuning, Hong, Zhiqing, Huang, Jiawei, Liu, Jinglin et al. · 2023 · arXiv
  73. KAT: A Knowledge Augmented Transformer for Vision-and-Language
    Gui, Liangke, Wang, Borui, Huang, Qiuyuan, Hauptmann, Alexander, Bisk, Yonatan, Gao, Jianfeng · 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  74. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
    Ganguli, Deep, Lovitt, Liane, Kernion, Jackson, Askell, Amanda, Bai, Yuntao, Kadavath, Saurav, Mann, Ben, Perez, Ethan, Schiefer, Nicholas, Ndousse, Kamal et al. · 2022 · arXiv
  75. A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability
    Liu, Aiwei, Hu, Xuming, Wen, Lijie, Yu, Philip S. · 2023 · arXiv
  76. CERT: Continual Pre-training on Sketches for Library-oriented Code Generation
    Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian–Guang Lou · 2022 · International Joint Conference on Artificial Intelligence
  77. Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist
    Marzena Karpinska, Mohit Iyyer · 2023 · Conference on Machine Translation (WMT)
  78. LawBench: Benchmarking Legal Knowledge of Large Language Models
    Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Rachel Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen et al. · 2024 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  79. Large Language Models Are State-of-the-Art Evaluators of Translation Quality
    Kocmi, Tom, Federmann, Christian · 2023 · arXiv
  80. ChatGPT FOR PROGRAMMING NUMERICAL METHODS
    Ali Kashefi, Tapan Mukerji · 2023 · Journal of Machine Learning for Modeling and Computing
  81. AutoML-GPT: Automatic Machine Learning with GPT
    Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou · 2023 · arXiv (Cornell University)
  82. Differentiate ChatGPT-generated and Human-written Medical Texts
    Liao, Wenxiong, Liu, Zhengliang, Dai, Haixing, Xu, Shaochen, Wu, Zihao, Zhang, Yiyang, Huang, Xiaoke, Zhu, Dajiang, Cai, Hongmin, Liu, Tianming et al. · 2023 · arXiv
  83. How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks
    Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Min-Long Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang · 2023 · arXiv.org
  84. To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
    Tom Kocmi, Christian Federmann, Roman Grundkiewicz, Marcin Junczys-Dowmunt, Hitokazu Matsushita, Arul Menezes · 2021 · arXiv (Cornell University)
  85. Is ChatGPT the Ultimate Programming Assistant -- How far is it?
    Tian, Haoye, Lu, Weiqi, Li, Tsz On, Tang, Xunzhu, Cheung, Shing-Chi, Klein, Jacques, Bissyandé, Tegawendé F. · 2023 · arXiv
  86. LLM-powered Data Augmentation for Enhanced Cross-lingual Performance
    Chenxi Whitehouse, Monojit Choudhury, Alham Fikri Aji · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  87. Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors
    Phung, Tung, Pădurean, Victor-Alexandru, Cambronero, José, Gulwani, Sumit, Kohn, Tobias, Majumdar, Rupak, Singla, Adish, Soares, Gustavo · 2023 · Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 2
  88. Large Language Models as Zero-Shot Human Models for Human-Robot Interaction
    Bowen Zhang, Harold Soh · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  89. LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
    Chalkidis, Ilias, Jana, Abhik, Hartung, Dirk, Bommarito, Michael James, Androutsopoulos, Ion, Katz, Daniel Martin, Aletras, Nikolaos · 2021 · SSRN Electronic Journal
  90. Improving ChatGPT Prompt for Code Generation
    Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Ling Yan · 2023 · arXiv (Cornell University)
  91. Performance of ChatGPT on the Plastic Surgery Inservice Training Examination
    Gupta, Rohun, Herzog, Isabel, Park, John B, Weisberger, Joseph, Firouzbakht, Peter, Ocon, Vanessa, Chao, John, Lee, Edward S, Mailey, Brian A · 2023 · Aesthetic Surgery Journal
  92. Evaluating the logical reasoning ability of chatgpt and GPT-4
    Liu, Hanmeng, Ning, Ruoxi, Teng, Zhiyang, Liu, Jian, Zhou, Qiji, Zhang, Yue · 2023 · arXiv
  93. CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
    Peng Li, Tianxiang Sun, Qiong Tang, Hang Rui Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  94. All Languages Matter: On the Multilingual Safety of Large Language Models
    Wenxuan Wang, Zhaopeng Tu, Chang Qing Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael Rung-Tsong Lyu · 2023 · arXiv (Cornell University)
  95. CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
    Zhou, Shuyan, Alon, Uri, Agarwal, Sumit, Neubig, Graham · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  96. LeanContext: Cost-efficient domain-specific question answering using LLMs
    Md Adnan Arefeen, Biplob K. Debnath, Srimat Chakradhar · 2024 · Natural Language Processing Journal
  97. SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research
    Liangtai Sun, Han Yang, Zihan Zhao, Da Ma, Zhennan Shen, Baocai Chen, Lu Chen, Kai Yu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  98. INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback
    Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  99. Towards Making the Most of ChatGPT for Machine Translation
    Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  100. ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
    Shuohuan Wang, Yu Ming Sun, Yang Xiang, Zhihua Wu, Siyu Ding, Weibao Gong, Shikun Feng, Junyuan Shang, Yanbin Zhao, Chao Pang et al. · 2021 · arXiv (Cornell University)
  101. Data augmentation using back-translation for context-aware neural machine translation
    Amane Sugiyama, Naoki Yoshinaga · 2019 · Workshop on Discourse in Machine Translation (DiscoMT)
  102. Automatic Code Documentation Generation Using GPT-3
    Khan, Junaed Younus, Uddin, Gias · 2022 · Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
  103. Explainable Information Retrieval: A Survey
    Avishek Anand, Lijun Lyu, Maximilian Idahl, Yumeng Wang, Jonas Wallat, Zijian Zhang · 2022 · arXiv (Cornell University)
  104. Evaluation of ChatGPT Model for Vulnerability Detection
    A. Cheshkov, P. Zadorozhny, Rodion Levichev · 2023 · arXiv.org
  105. Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
    Kai Zhang, Bernal Jiménez Gutiérrez, Yu Su · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  106. Adversarial attack and defense technologies in natural language processing: A survey
    Qiu, Shilin, Liu, Qihe, Zhou, Shijie, Huang, Wen · 2022 · Neurocomputing
  107. Zero-shot Temporal Relation Extraction with ChatGPT
    Chenhan Yuan, Qianqian Xie, Sophia Ananiadou · 2023 · Workshop on Biomedical Language Processing (BioNLP)
  108. Batch Prompting: Efficient Inference with Large Language Model APIs
    Zhoujun Cheng, Jungo Kasai, Tao Yu · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  109. AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model
    Saleh Soltan, S. Ananthakrishnan, Jack G. M. FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andrew Rosenbaum, Anna Rumshisky et al. · 2022 · arXiv.org
  110. MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
    Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yu-Qing Yang · 2023 · Conference of the European Chapter of the Association for Computational Linguistics
  111. An interactive knowledge-based recommender system for fashion product design in the big data environment
    Min Dong, Xianyi Zeng, Ludovic Koehl · 2020 · Information Sciences
  112. TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
    Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang et al. · 2021 · Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo)
  113. Is ChatGPT Equipped with Emotional Dialogue Capabilities?
    Zhao, Weixiang, Zhao, Yanyan, Lu, Xin, Wang, Shilong, Tong, Yanpeng, Qin, Bing · 2023 · arXiv
  114. ARB: Advanced Reasoning Benchmark for Large Language Models
    Sawada, Tomohiro, Paleka, Daniel, Havrilla, Alexander, Tadepalli, Pranav, Vidas, Paula, Kranias, Alexander, Nay, John J., Gupta, Kshitij, Komatsuzaki, Aran · 2023 · arXiv
  115. Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
    Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev · 2023 · arXiv (Cornell University)
  116. Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification
    Chen, Shan, Li, Yingya, Lu, Sheng, Van, Hoang, Aerts, Hugo JWL, Savova, Guergana K., Bitterman, Danielle S. · 2023 · arXiv
  117. Assessing the Value of ChatGPT for Clinical Decision Support Optimization
    Liu, Siru, Wright, Aileen P., Patterson, Barron L., Wanderer, Jonathan P., Turer, Robert W., Nelson, Scott D., McCoy, Allison B., Sittig, Dean F., Wright, Adam · 2023
  118. One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases
    Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Maulikmihir Thaker, Peter L. Brusilovsky, Daqing He, Adam Trischler · 2020 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  119. Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code
    Jaromír Šavelka, Arav Agarwal, Christopher Bogart, Majd F. Sakr · 2023 · International Conference on Computer Supported Education
  120. FELM: Benchmarking Factuality Evaluation of Large Language Models
    Shiqi Chen, Yiran Zhao, Jinghan Zhang · 2023 · Neural Information Processing Systems
  121. On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
    Wang, Jindong, Hu, Xixu, Hou, Wenxin, Chen, Hao, Zheng, Runkai, Wang, Yidong, Yang, Linyi, Huang, Haojun, Ye, Wei, Geng, Xiubo et al. · 2023 · arXiv
  122. DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4
    Zhengliang Liu, Huang, Yue, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Li, Yiwei, Shu, Peng et al. · 2023 · arXiv (Cornell University)
  123. Leveraging GPT-4 for Automatic Translation Post-Editing
    Vikas Raunak, Amr Sharaf, Yiren Wang, Hany Hassan Awadalla, Arul Menezes · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  124. Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
    Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu · 2023 · arXiv (Cornell University)
  125. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
    Iyer, Srinivasan, Lin, Xi Victoria, Pasunuru, Ramakanth, Mihaylov, Todor, Simig, Daniel, Yu, Ping, Shuster, Kurt, Wang, Tianlu, Liu, Qing, Koura, Punit Singh et al. · 2022 · arXiv
  126. DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task
    Xiong, Honglin, Wang, Sheng, Zhu, Yitao, Zhao, Zihao, Liu, Yuxiao, Huang, Linlin, Wang, Qian, Shen, Dinggang · 2023 · arXiv
  127. Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media
    Bowen Zhang, Xianghua Fu, Daijun Ding, Huang Hu, Dai, Genan, Nan Yin, Li, Yangyang, Liwen Jing · 2023 · arXiv (Cornell University)
  128. ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst
    Zijia Zhao, Longteng Guo, Tongtian Yue, Sihan Chen, Shuai Shao, Xinxin Zhu, Zehuan Yuan, Jing Liu · 2023 · arXiv (Cornell University)
  129. FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
    Xin Guo, Hao-Tian Xia, Zhao-Wei Liu, Han-Yang Cao, Zhi Yang, Zhi-Qiang Liu, Silas Wang, Jin-Yi Niu, Chu-Qi Wang, Yan-Hui Wang et al. · 2023 · North American Chapter of the Association for Computational Linguistics
  130. Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
    Gao, Yunfan, Sheng, Tao, Xiang, Youlin, Xiong, Yun, Wang, Haofen, Zhang, Jiawei · 2023 · arXiv
  131. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
    Liu, Yang, Yao, Yuanshun, Ton, Jean-Francois, Zhang, Xiaoying, Guo, Ruocheng, Cheng, Hao, Klochkov, Yegor, Taufiq, Muhammad Faaiz, Li, Hang · 2023 · arXiv
  132. Detecting LLM-Generated Text in Computing Education: Comparative Study for ChatGPT Cases
    Orenstrakh, Michael Sheinman, Karnalim, Oscar, Suárez, Carlos Aníbal, Liut, Michael · 2024 · 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
  133. Sentiment spin: Attacking financial sentiment with GPT-3
    Leippold, Markus · 2023 · Finance Research Letters
  134. Distinguishing ChatGPT(-3.5, -4)-generated and human-written papers through Japanese stylometric analysis
    Wataru Zaitsu, Mingzhe Jin · 2023 · PLoS ONE
  135. Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
    Yetiştiren, Burak, Özsoy, Işık, Ayerdem, Miray, Tüzün, Eray · 2023 · arXiv
  136. ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations
    Chunkit Chan, Cheng Jiayang, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, Yang-Qiu Song · 2023 · arXiv.org
  137. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT
    Qingyu Lu, Baopu Qiu, Liang Ding, Liping Xie, Dacheng Tao · 2023 · Preprints.org
  138. Improving CLIP Training with Language Rewrites
    Fan, Lijie, Krishnan, Dilip, Isola, Phillip, Katabi, Dina, Tian, Yonglong · 2023 · arXiv
  139. A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models
    Erik Derner, Kristina Batistič, Jan Zahálka, Robert Babuška · 2024 · IEEE Access
  140. ChestXRayBERT: A Pretrained Language Model for Chest Radiology Report Summarization
    Cai, Xiaoyan, Liu, Sen, Han, Junwei, Yang, Libin, Liu, Zhenguo, Liu, Tianming · 2023 · IEEE Transactions on Multimedia
  141. Can we trust the evaluation on ChatGPT?
    Aiyappa, Rachith, An, Jisun, Kwak, Haewoon, Ahn, Yong-yeol · 2023 · Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023)
  142. Large Language Model Augmented Narrative Driven Recommendations
    Sheshera Mysore, Andrew McCallum, Hamed Zamani · 2023 · ACM Conference on Recommender Systems (RecSys)
  143. Aligning Large Language Models with Human: A Survey
    Wang, Yufei, Zhong, Wanjun, Li, Liangyou, Mi, Fei, Zeng, Xingshan, Huang, Wenyong, Shang, Lifeng, Jiang, Xin, Liu, Qun · 2023 · arXiv
  144. BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model
    Zhiyu Li, Yanfang Chen, Xuan Zhang, Xun Liang · 2023 · Electronics
  145. Comparing Software Developers with ChatGPT: An Empirical Investigation
    Nascimento, Nathalia, Paulo Alencar, Cowan, Donald · 2023 · arXiv (Cornell University)
  146. Red Teaming Language Model Detectors with Language Models
    Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho‐Jui Hsieh · 2024 · Transactions of the Association for Computational Linguistics
  147. Exploring the Feasibility of ChatGPT for Event Extraction
    Jun Gao, Huan Zhao, Changlong Yu, Ruifeng Xu · 2023 · arXiv (Cornell University)
  148. Contemporary Recommendation Systems on Big Data and Their Applications: A Survey
    Ziyuan Xia, Anchen Sun, Jingyi Xu, Yuanzhe Peng, Rui Ma, Minghui Cheng · 2024 · IEEE Access
  149. Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering
    Yucheng Li · 2023 · arXiv (Cornell University)
  150. Do We Still Need Clinical Language Models?
    Lehman, Eric, Hernandez, Evan, Mahajan, Diwakar, Wulff, Jonas, Smith, Micah J., Ziegler, Zachary, Nadler, Daniel, Szolovits, Peter, Johnson, Alistair, Alsentzer, Emily · 2023 · arXiv
  151. Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering
    Yan Hu, Chen, Qingyu, Du, Jingcheng, Xueqing Peng, Keloth, Vipina Kuttichi, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Lu, Zhiyong et al. · 2023 · arXiv (Cornell University)
  152. Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams
    Desnes Nunes, Ricardo Primi, Ramon Pires, Roberto Lotufo, Rodrigo Frassetto Nogueira · 2023 · arXiv (Cornell University)
  153. Is ChatGPT a Good Recommender? A Preliminary Study
    Liu, Junling, Liu, Chao, Zhou, Peilin, Lv, Renjie, Zhou, Kang, Zhang, Yan · 2023 · arXiv
  154. Yes but.. Can ChatGPT Identify Entities in Historical Documents?
    Carlos-Emiliano González-Gallardo, Emanuela Boroş, Nancy Girdhar, Ahmed Hamdi, José G. Moreno, Antoine Doucet · 2023 · ACM/IEEE Joint Conference on Digital Libraries
  155. ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
    Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Zhao, Ruochen, Caiming Xiong, Shafiq Joty · 2023 · arXiv (Cornell University)
  156. Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success)
    Chantal Shaib, Millicent Li, Sebastian Antony Joseph, Iain James Marshall, Junyi Jessy Li, Byron Wallace · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  157. A survey of attack detection approaches in collaborative filtering recommender systems
    Fatemeh Rezaimehr, C. Dadkhah · 2020 · Artificial Intelligence Review
  158. ChatGPT may Pass the Bar Exam soon, but has a Long Way to Go for the LexGLUE benchmark
    Ilias Chalkidis · 2023 · Social Science Research Network
  159. Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code
    Savelka, Jaromir, Agarwal, Arav, Bogart, Christopher, Sakr, Majd · 2023 · arXiv
  160. Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding
    Yuqing Wang, Yun Fu Zhao, Linda Ruth Petzold · 2023 · arXiv (Cornell University)
  161. Controllable Text-to-Image Generation with GPT-4
    Tianjun Zhang, Zhang, Yi, Vibhav Vineet, Neel Joshi, Xin Wang · 2023 · arXiv (Cornell University)
  162. ChatGPT as a Factual Inconsistency Evaluator for Text Summarization
    Luo, Zheheng, Xie, Qianqian, Ananiadou, Sophia · 2023 · arXiv
  163. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
    Eldan, Ronen, Li, Yuanzhi · 2023 · arXiv
  164. An Empirical Study on Information Extraction using Large Language Models
    Han, Ridong, Yang, Chaohao, Peng, Tao, Tiwari, Prayag, Wan, Xiang, Liu, Lu, Wang, Benyou · 2023 · arXiv
  165. Large Language Models are Built-in Autoregressive Search Engines
    Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  166. Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization
    Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng et al. · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  167. Igniting language intelligence: The hitchhiker’s guide from chain-of-thought reasoning to language agents
    Zhang, Zhuosheng, Yao, Yao, Zhang, Aston, Tang, Xiangru, Ma, Xinbei, He, Zhiwei, Wang, Yiming, Gerstein, Mark, Wang, Rui, Liu, Gongshen et al. · 2025 · ACM Computing Surveys
  168. Translating Natural Language to Planning Goals with Large-Language Models
    Xie, Yaqi, Yu, Chen, Zhu, Tongyao, Bai, Jinbin, Gong, Ze, Soh, Harold · 2023 · arXiv
  169. BLESS: Benchmarking Large Language Models on Sentence Simplification
    Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Emilio Alva-Manchego, Matthew Shardlow · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  170. ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness
    Ján Čegiň, Jakub Šimko, Peter L. Brusilovsky · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  171. Evaluation of GPT and BERT-based models on identifying proteinprotein interactions in biomedical text
    Hasin Rehana, Nur Bengisu Çam, Mert Basmaci, Jie Zheng, Christianah Jemiyo, Y. He, Arzucan Özgür, J. Hur · 2023 · arXiv.org
  172. LAiW: A Chinese Legal Large Language Models Benchmark
    Dai, Yongfu, Duanyu Feng, Jimin Huang, Haochen Jia, Qianqian Xie, Yifang Zhang, Weiguang Han, Tian, Wei, Wang, Hao · 2023 · arXiv (Cornell University)
  173. Exploring Zero and Few-shot Techniques for Intent Classification
    Soham Parikh, Mitul Tiwari, Prashil Tumbade, Quaizar Vohra · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  174. CHEAT: A Large-scale Dataset for Detecting ChatGPT-writtEn AbsTracts
    Yu, Peipeng, Chen, Jiahan, Feng, Xuan, Xia, Zhihua · 2023 · arXiv
  175. How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
    Xin Xu, Yuqi Zhu, Xiaohan Wang, Ningyu Zhang · 2023 · Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
  176. A Benchmark for Lease Contract Review
    Spyretta Leivaditi, Julien Rossi, Evangelos Kanoulas · 2020 · arXiv (Cornell University)
  177. REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
    Yuanze Lin, Yujia Xie, Dongdong Chen · 2022 · arXiv (Cornell University)
  178. A Brief Report on LawGPT 1.0: A Virtual Legal Assistant Based on GPT-3
    Ha-Thanh Nguyen · 2023 · arXiv (Cornell University)
  179. ChatGPT Performs on the Chinese National Medical Licensing Examination
    Xinyi Wang, Zhenye Gong, Guoxin Wang · 2023 · Research Square
  180. Adaptive Machine Translation with Large Language Models
    Yasmin Moslem, Rejwanul Haque, Kelleher, John D. · 2023 · arXiv (Cornell University)
  181. Multimodal Conversational AI: A Survey of Datasets and Approaches
    Anirudh Sundar, Larry P. Heck · 2022 · Workshop on NLP for Conversational AI (NLP4ConvAI)
  182. A Primer on Pretrained Multilingual Language Models
    Sumanth Doddapaneni, Ramesh, Gowtham, Mitesh M. Khapra · 2021 · arXiv (Cornell University)
  183. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models
    Wei Qi Leong, Jian Gang Ngui, Yosephine Susanto, Hamsawardhini Rengarajan, Kengatharaiyer Sarveswaran, William Chandra Tjhi · 2023 · arXiv (Cornell University)
  184. Human-like Summarization Evaluation with ChatGPT
    Gao, Mingqi, Ruan, Jie, Sun, Renliang, Yin, Xunjian, Yang, Shiping, Wan, Xiaojun · 2023 · arXiv
  185. To ChatGPT, or not to ChatGPT: That is the question!
    Pegoraro, Alessandro, Kumari, Kavita, Fereidooni, Hossein, Sadeghi, Ahmad-Reza · 2023 · arXiv
  186. Smaller Language Models are Better Black-box Machine-Generated Text Detectors
    Mireshghallah, Niloofar, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick · 2023 · arXiv (Cornell University)
  187. GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models
    Pawan Kumar Rajpoot, Ankur P. Parikh · 2023 · Workshop on Financial Technology and Natural Language Processing (FinNLP)
  188. On Learning to Summarize with Large Language Models as References
    Yixin Liu, Kejian Shi, Katherine He · 2024 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
  189. An Empirical Study on Neural Keyphrase Generation
    Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He · 2021 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
  190. A Survey of Adversarial Defences and Robustness in NLP
    Shreyansh Goyal, Sumanth Doddapaneni, Mitesh M.Khapra, B. Ravindran · 2022 · arXiv (Cornell University)
  191. ChatGPT vs state-of-the-art models: a benchmarking study in keyphrase generation task
    Roberto Martínez-Cruz, Álvaro J. López-López, José Portela · 2024 · Applied Intelligence
  192. SocialDial: A Benchmark for Socially-Aware Dialogue Systems
    Haolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay-Ki Soon, Suraj Sharma et al. · 2023 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
  193. Benchmarking Large Language Models on CMExam - A Comprehensive Chinese Medical Exam Dataset
    Liu, Junling, Zhou, Peilin, Hua, Yining, Chong, Dading, Tian, Zhongyu, Liu, Andrew, Wang, Helin, You, Chenyu, Guo, Zhenhua, Zhu, Lei et al. · 2023 · arXiv
  194. RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations
    Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi, Dragomir Radev · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  195. How Large Language Models are Transforming Machine-Paraphrase Plagiarism
    Wahle, Jan Philip, Ruas, Terry, Kirstein, Frederic, Gipp, Bela · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  196. Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems
    Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim · 2023 · ACM Conference on Recommender Systems (RecSys)
  197. Improving graph-based random walks for complex question answering using syntactic, shallow semantic and extended string subsequence kernels
    Yllias Chali, Sadid A. Hasan, Shafiq Joty · 2010 · Information Processing & Management
  198. Do GPTs Produce Less Literal Translations?
    Vikas Raunak, Arul Menezes, Matt Post, Hany Hassan · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  199. Benchmarking Foundation Models with Language-Model-as-an-Examiner
    Bai, Yushi, Ying, Jiahao, Cao, Yixin, Lv, Xin, He, Yuze, Wang, Xiaozhi, Yu, Jifan, Zeng, Kaisheng, Xiao, Yijia, Lyu, Haozhe et al. · 2023 · arXiv
  200. Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data
    Dominik Stammbach, Maria Antoniak, Elliott Ash · 2022