A survey of GPT-3 family large language models including ChatGPT and GPT-4
Cites (500)
Items 201–400 of 500
- AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking HeadRongjie 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
- A Survey of Evaluation Metrics Used for NLG SystemsSai, Ananya B., Mohankumar, Akash Kumar, Khapra, Mitesh M. · 2023 · ACM Computing Surveys
- Red-Teaming Large Language Models using Chain of Utterances for Safety-AlignmentRishabh Bhardwaj, Soujanya Poria · 2023 · arXiv (Cornell University)
- Is chatGPT a good nlg evaluator? A preliminary studyWang, 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
- ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual LearningLai, 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
- A survey of safety and trustworthiness of large language models through the lens of verification and validationXiaowei 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
- Cross-Domain Recommendation: Challenges, Progress, and ProspectsFeng Zhu, Yan Wang, Chaochao Chen, Jun Wei Zhou, Longfei Li, Guanfeng Liu · 2021 · International Joint Conference on Artificial Intelligence
- Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and FaithfulnessBo Li, Gexiang Fang, Yang Yang, Quan-Sen Wang, Wei Ye, Wen Zhao, Shi-Kun Zhang · 2023 · arXiv.org
- ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated TextSandra Mitrović, Davide Andreoletti, Omran Ayoub · 2023 · arXiv (Cornell University)
- Benchmarking large language models for biomedical natural language processing applications and recommendationsChen, 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
- CodeGen2: Lessons for Training LLMs on Programming and Natural LanguagesErik Nijkamp, Hayashi, Hiroaki, Caiming Xiong, Silvio Savarese, Yingbo Zhou · 2023 · arXiv (Cornell University)
- Transforming sentiment analysis in the financial domain with ChatGPTGeorgios Fatouros, John K. Soldatos, Kalliopi Kouroumali, Georgios Makridis, Dimosthenis Kyriazis · 2023 · Machine Learning with Applications
- Dense Text Retrieval Based on Pretrained Language Models: A SurveyZhao, Wayne Xin, Liu, Jing, Ren, Ruiyang, Wen, Ji-Rong · 2024 · ACM Transactions on Information Systems
- Comparing Code Explanations Created by Students and Large Language ModelsLeinonen, 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
- CONTaiNER: Few-Shot Named Entity Recognition via Contrastive LearningSarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang · 2022 · Proceedings of the conference - Association for Computational Linguistics. Meeting
- Revisiting Relation Extraction in the era of Large Language ModelsWadhwa, Somin, Amir, Silvio, Wallace, Byron · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- How Good Are GPT Models at Machine Translation? A Comprehensive EvaluationHendy, Amr, Abdelrehim, Mohamed, Sharaf, Amr, Raunak, Vikas, Gabr, Mohamed, Matsushita, Hitokazu, Kim, Young Jin, Afify, Mohamed, Awadalla, Hany Hassan · 2023 · arXiv
- Are Emergent Abilities of Large Language Models a Mirage?Schaeffer, Rylan, Miranda, Brando, Koyejo, Sanmi · 2023 · arXiv
- Untitled work2023 · 10.52202/075280-2425
- Evaluating large language models on a highly-specialized topic, radiation oncology physicsJason 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
- Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation ModelsWu, Chenfei, Yin, Shengming, Qi, Weizhen, Wang, Xiaodong, Tang, Zecheng, Duan, Nan · 2023 · arXiv
- Challenges and Applications of Large Language ModelsKaddour, Jean, Harris, Joshua, Mozes, Maximilian, Bradley, Herbie, Raileanu, Roberta, McHardy, Robert · 2023 · arXiv
- Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model RecommendationJizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He · 2023 · ACM Conference on Recommender Systems (RecSys)
- Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive EvaluationFang, Tao, Yang, Shu, Kaixin Lan, Derek F. Wong, Jinpeng Hu, Lidia Sam Chao, Yue Zhang · 2023 · arXiv (Cornell University)
- Neural machine translation: A review of methods, resources, and toolsZhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu · 2020 · AI Open
- 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)
- One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin 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)
- Instruction Tuning with GPT-4Peng, Baolin, Li, Chunyuan, He, Pengcheng, Galley, Michel, Gao, Jianfeng · 2023 · arXiv
- Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing TasksYi-Ming Zhu, Peixian Zhang, Ehsan-Ul Haq, Pan Hui, Gareth Tyson · 2023 · arXiv.org
- Thinking about GPT-3 In-Context Learning for Biomedical IE? Think AgainBernal 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)
- A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series ModelsJunjie 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)
- A Survey of Deep Learning Techniques for Neural Machine TranslationShuoheng Yang, Yuxin Wang, Xiaowen Chu · 2020 · arXiv (Cornell University)
- Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPTAmin, Mostafa M., Cambria, Erik, Schuller, Björn W. · 2023 · IEEE Intelligent Systems
- Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative StudyWenxiong 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
- Exploring Human-Like Translation Strategy with Large Language ModelsZhiwei 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
- ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPTWei, 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)
- Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated FeedbackPeng, Baolin, Galley, Michel, He, Pengcheng, Cheng, Hao, Xie, Yujia, Hu, Yu, Huang, Qiuyuan, Liden, Lars, Yu, Zhou, Chen, Weizhu et al. · 2023 · arXiv
- Legalbench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsGuha, Neel, Nyarko, Julian, Ho, Daniel E., Ré, Christopher, Chilton, Adam, Narayana, Aditya, Chohlas-Wood, Alex, Peters, Austin, Waldon, Brandon, Rockmore, Daniel et al. · 2023
- PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsZhu, Kaijie, Wang, Jindong, Zhou, Jiaheng, Wang, Zichen, Chen, Hao, Wang, Yidong, Yang, Linyi, Ye, Wei, Zhang, Yue, Gong, Neil Zhenqiang et al. · 2023 · arXiv
- ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot LearningTörnberg, Petter · 2023 · arXiv
- Med-HALT: Medical Domain Hallucination Test for Large Language ModelsPal, Ankit, Umapathi, Logesh Kumar, Sankarasubbu, Malaikannan · 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
- Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument ExtractionYubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao · 2022 · Proceedings of the conference - Association for Computational Linguistics. Meeting
- DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvatureMitchell, Eric, Lee, Yoonho, Khazatsky, Alexander, Manning, Christopher D., Finn, Chelsea · 2023 · arXiv
- PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsZhu, 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
- Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseKrishna, Kalpesh, Song, Yixiao, Karpinska, Marzena, Wieting, John, Iyyer, Mohit · 2023 · arXiv
- WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal ResearchMei, 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
- Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseKrishna, Kalpesh, Song, Yixiao, Karpinska, Marzena, Wieting, John, Iyyer, Mohit · 2023 · Advances in Neural Information Processing Systems 36
- UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System MetathesaurusGeorge 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)
- 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)
- CTRLsum: Towards Generic Controllable Text SummarizationJunxian He, Wojciech Kryściński, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
- CoTexT: Multi-task Learning with Code-Text TransformerLong Phan, Hieu Tran, Daniel X. Le, Hieu Nguyen, James Anibal, Alec Peltekian, Yanfang Ye · 2021
- ChatAug: Leveraging ChatGPT for Text Data AugmentationHai-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
- Conversational question answering: a surveyMunazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Yang Zhang · 2022 · Knowledge and Information Systems
- Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERTZhong, Qihuang, Ding, Liang, Liu, Juhua, Du, Bo, Tao, Dacheng · 2023 · arXiv
- Packed Levitated Marker for Entity and Relation ExtractionYe, Deming, Lin, Yankai, Li, Peng, Sun, Maosong · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- GPT-NER: Named Entity Recognition via Large Language ModelsShuhe Wang, Xiaofei Sun, Xiaoya Li · 2023 · arXiv (Cornell University)
- GPTutor: A ChatGPT-Powered Programming Tool for Code ExplanationEason Chen, Ray Huang, Han-Shin Chen, Yuen‐Hsien Tseng, Liang‐Yi Li · 2023 · Communications in computer and information science
- LayoutGPT: Compositional Visual Planning and Generation with Large Language ModelsFeng, Weixi, Zhu, Wanrong, Fu, Tsu-jui, Jampani, Varun, Akula, Arjun, He, Xuehai, Basu, Sugato, Wang, Xin Eric, Wang, William Yang · 2023 · arXiv
- Evaluation of ChatGPT for NLP-based Mental Health ApplicationsBishal Lamichhane · 2023 · arXiv (Cornell University)
- “HOT” ChatGPT: The Promise of ChatGPT in Detecting and Discriminating Hateful, Offensive, and Toxic Comments on Social MediaLingyao Li, Lizhou Fan, Shubham Atreja, Libby Hemphill · 2024 · ACM Transactions on the Web
- An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPTChong 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
- Textbooks Are All You NeedGunasekar, 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
- Large Language Models are not Fair EvaluatorsWang, 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)
- Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua A. Robinson, Christopher Michael Rytting, David Wingate · 2022 · arXiv (Cornell University)
- Findings of the Association for Computational Linguistics: NAACL 20222022
- Improving alignment of dialogue agents via targeted human judgementsGlaese, Amelia, McAleese, Nat, Trębacz, Maja, Aslanides, John, Firoiu, Vlad, Ewalds, Timo, Rauh, Maribeth, Weidinger, Laura, Chadwick, Martin, Thacker, Phoebe et al. · 2022 · arXiv
- Assessing the utility of ChatGPT throughout the entire clinical workflowRao, Arya, Pang, Michael, Kim, John, Kamineni, Meghana, Lie, Winston, Prasad, Anoop K., Landman, Adam, Dreyer, Keith J, Succi, Marc D. · 2023
- Legal Prompting: Teaching a Language Model to Think Like a LawyerFangyi Yu, Lee Quartey, Frank Schilder · 2022 · arXiv (Cornell University)
- Findings of the Association for Computational Linguistics: EACL 20232023
- A Survey of Hallucination in Large Foundation ModelsRawte, Vipula, Sheth, Amit, Das, Amitava · 2023 · arXiv
- BioELECTRA:Pretrained Biomedical text Encoder using DiscriminatorsKamal raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu · 2021 · Workshop on Biomedical Language Processing (BioNLP)
- AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking HeadHuang, Rongjie, Li, Mingze, Yang, Dongchao, Shi, Jiatong, Chang, Xuankai, Ye, Zhenhui, Wu, Yuning, Hong, Zhiqing, Huang, Jiawei, Liu, Jinglin et al. · 2023 · arXiv
- KAT: A Knowledge Augmented Transformer for Vision-and-LanguageGui, 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
- Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedGanguli, Deep, Lovitt, Liane, Kernion, Jackson, Askell, Amanda, Bai, Yuntao, Kadavath, Saurav, Mann, Ben, Perez, Ethan, Schiefer, Nicholas, Ndousse, Kamal et al. · 2022 · arXiv
- A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capabilityLiu, Aiwei, Hu, Xuming, Wen, Lijie, Yu, Philip S. · 2023 · arXiv
- CERT: Continual Pre-training on Sketches for Library-oriented Code GenerationDaoguang 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
- Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors PersistMarzena Karpinska, Mohit Iyyer · 2023 · Conference on Machine Translation (WMT)
- LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei 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)
- Large Language Models Are State-of-the-Art Evaluators of Translation QualityKocmi, Tom, Federmann, Christian · 2023 · arXiv
- ChatGPT FOR PROGRAMMING NUMERICAL METHODSAli Kashefi, Tapan Mukerji · 2023 · Journal of Machine Learning for Modeling and Computing
- AutoML-GPT: Automatic Machine Learning with GPTShujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou · 2023 · arXiv (Cornell University)
- Differentiate ChatGPT-generated and Human-written Medical TextsLiao, Wenxiong, Liu, Zhengliang, Dai, Haixing, Xu, Shaochen, Wu, Zihao, Zhang, Yiyang, Huang, Xiaoke, Zhu, Dajiang, Cai, Hongmin, Liu, Tianming et al. · 2023 · arXiv
- How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding TasksXuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Min-Long Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang · 2023 · arXiv.org
- To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine TranslationTom Kocmi, Christian Federmann, Roman Grundkiewicz, Marcin Junczys-Dowmunt, Hitokazu Matsushita, Arul Menezes · 2021 · arXiv (Cornell University)
- 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
- LLM-powered Data Augmentation for Enhanced Cross-lingual PerformanceChenxi Whitehouse, Monojit Choudhury, Alham Fikri Aji · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human TutorsPhung, 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
- Large Language Models as Zero-Shot Human Models for Human-Robot InteractionBowen Zhang, Harold Soh · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishChalkidis, Ilias, Jana, Abhik, Hartung, Dirk, Bommarito, Michael James, Androutsopoulos, Ion, Katz, Daniel Martin, Aletras, Nikolaos · 2021 · SSRN Electronic Journal
- Improving ChatGPT Prompt for Code GenerationChao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Ling Yan · 2023 · arXiv (Cornell University)
- Performance of ChatGPT on the Plastic Surgery Inservice Training ExaminationGupta, Rohun, Herzog, Isabel, Park, John B, Weisberger, Joseph, Firouzbakht, Peter, Ocon, Vanessa, Chao, John, Lee, Edward S, Mailey, Brian A · 2023 · Aesthetic Surgery Journal
- Evaluating the logical reasoning ability of chatgpt and GPT-4Liu, Hanmeng, Ning, Ruoxi, Teng, Zhiyang, Liu, Jian, Zhou, Qiji, Zhang, Yue · 2023 · arXiv
- CodeIE: Large Code Generation Models are Better Few-Shot Information ExtractorsPeng Li, Tianxiang Sun, Qiong Tang, Hang Rui Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
- All Languages Matter: On the Multilingual Safety of Large Language ModelsWenxuan Wang, Zhaopeng Tu, Chang Qing Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael Rung-Tsong Lyu · 2023 · arXiv (Cornell University)
- CodeBERTScore: Evaluating Code Generation with Pretrained Models of CodeZhou, Shuyan, Alon, Uri, Agarwal, Sumit, Neubig, Graham · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- LeanContext: Cost-efficient domain-specific question answering using LLMsMd Adnan Arefeen, Biplob K. Debnath, Srimat Chakradhar · 2024 · Natural Language Processing Journal
- SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific ResearchLiangtai Sun, Han Yang, Zihan Zhao, Da Ma, Zhennan Shen, Baocai Chen, Lu Chen, Kai Yu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
- INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic FeedbackWenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Towards Making the Most of ChatGPT for Machine TranslationKeqin 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)
- ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationShuohuan 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)
- Data augmentation using back-translation for context-aware neural machine translationAmane Sugiyama, Naoki Yoshinaga · 2019 · Workshop on Discourse in Machine Translation (DiscoMT)
- Automatic Code Documentation Generation Using GPT-3Khan, Junaed Younus, Uddin, Gias · 2022 · Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
- Explainable Information Retrieval: A SurveyAvishek Anand, Lijun Lyu, Maximilian Idahl, Yumeng Wang, Jonas Wallat, Zijian Zhang · 2022 · arXiv (Cornell University)
- Evaluation of ChatGPT Model for Vulnerability DetectionA. Cheshkov, P. Zadorozhny, Rodion Levichev · 2023 · arXiv.org
- Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsKai Zhang, Bernal Jiménez Gutiérrez, Yu Su · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
- Adversarial attack and defense technologies in natural language processing: A surveyQiu, Shilin, Liu, Qihe, Zhou, Shijie, Huang, Wen · 2022 · Neurocomputing
- Zero-shot Temporal Relation Extraction with ChatGPTChenhan Yuan, Qianqian Xie, Sophia Ananiadou · 2023 · Workshop on Biomedical Language Processing (BioNLP)
- Batch Prompting: Efficient Inference with Large Language Model APIsZhoujun Cheng, Jungo Kasai, Tao Yu · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
- AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelSaleh 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
- MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning TasksLei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yu-Qing Yang · 2023 · Conference of the European Chapter of the Association for Computational Linguistics
- An interactive knowledge-based recommender system for fashion product design in the big data environmentMin Dong, Xianyi Zeng, Ludovic Koehl · 2020 · Information Sciences
- TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language ProcessingXiao 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)
- Is ChatGPT Equipped with Emotional Dialogue Capabilities?Zhao, Weixiang, Zhao, Yanyan, Lu, Xin, Wang, Shilong, Tong, Yanpeng, Qin, Bing · 2023 · arXiv
- ARB: Advanced Reasoning Benchmark for Large Language ModelsSawada, Tomohiro, Paleka, Daniel, Havrilla, Alexander, Tadepalli, Pranav, Vidas, Paula, Kranias, Alexander, Nay, John J., Gupta, Kshitij, Komatsuzaki, Aran · 2023 · arXiv
- Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing ExaminationsJungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev · 2023 · arXiv (Cornell University)
- Evaluation of ChatGPT Family of Models for Biomedical Reasoning and ClassificationChen, Shan, Li, Yingya, Lu, Sheng, Van, Hoang, Aerts, Hugo JWL, Savova, Guergana K., Bitterman, Danielle S. · 2023 · arXiv
- Assessing the Value of ChatGPT for Clinical Decision Support OptimizationLiu, 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
- One Size Does Not Fit All: Generating and Evaluating Variable Number of KeyphrasesXingdi 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
- Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About CodeJaromír Šavelka, Arav Agarwal, Christopher Bogart, Majd F. Sakr · 2023 · International Conference on Computer Supported Education
- FELM: Benchmarking Factuality Evaluation of Large Language ModelsShiqi Chen, Yiran Zhao, Jinghan Zhang · 2023 · Neural Information Processing Systems
- On the Robustness of ChatGPT: An Adversarial and Out-of-distribution PerspectiveWang, Jindong, Hu, Xixu, Hou, Wenxin, Chen, Hao, Zheng, Runkai, Wang, Yidong, Yang, Linyi, Huang, Haojun, Ye, Wei, Geng, Xiubo et al. · 2023 · arXiv
- DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4Zhengliang 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)
- Leveraging GPT-4 for Automatic Translation Post-EditingVikas Raunak, Amr Sharaf, Yiren Wang, Hany Hassan Awadalla, Arul Menezes · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
- Does Synthetic Data Generation of LLMs Help Clinical Text Mining?Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu · 2023 · arXiv (Cornell University)
- OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationIyer, 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
- DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean TaskXiong, Honglin, Wang, Sheng, Zhu, Yitao, Zhao, Zihao, Liu, Yuxiao, Huang, Linlin, Wang, Qian, Shen, Dinggang · 2023 · arXiv
- Investigating Chain-of-thought with ChatGPT for Stance Detection on Social MediaBowen Zhang, Xianghua Fu, Daijun Ding, Huang Hu, Dai, Genan, Nan Yin, Li, Yangyang, Liwen Jing · 2023 · arXiv (Cornell University)
- ChatBridge: Bridging Modalities with Large Language Model as a Language CatalystZijia Zhao, Longteng Guo, Tongtian Yue, Sihan Chen, Shuai Shao, Xinxin Zhu, Zehuan Yuan, Jing Liu · 2023 · arXiv (Cornell University)
- FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language ModelsXin 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
- Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender SystemGao, Yunfan, Sheng, Tao, Xiang, Youlin, Xiong, Yun, Wang, Haofen, Zhang, Jiawei · 2023 · arXiv
- Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentLiu, Yang, Yao, Yuanshun, Ton, Jean-Francois, Zhang, Xiaoying, Guo, Ruocheng, Cheng, Hao, Klochkov, Yegor, Taufiq, Muhammad Faaiz, Li, Hang · 2023 · arXiv
- Detecting LLM-Generated Text in Computing Education: Comparative Study for ChatGPT CasesOrenstrakh, Michael Sheinman, Karnalim, Oscar, Suárez, Carlos Aníbal, Liut, Michael · 2024 · 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
- Sentiment spin: Attacking financial sentiment with GPT-3Leippold, Markus · 2023 · Finance Research Letters
- Distinguishing ChatGPT(-3.5, -4)-generated and human-written papers through Japanese stylometric analysisWataru Zaitsu, Mingzhe Jin · 2023 · PLoS ONE
- Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPTYetiştiren, Burak, Özsoy, Işık, Ayerdem, Miray, Tüzün, Eray · 2023 · arXiv
- ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse RelationsChunkit Chan, Cheng Jiayang, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, Yang-Qiu Song · 2023 · arXiv.org
- Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPTQingyu Lu, Baopu Qiu, Liang Ding, Liping Xie, Dacheng Tao · 2023 · Preprints.org
- Improving CLIP Training with Language RewritesFan, Lijie, Krishnan, Dilip, Isola, Phillip, Katabi, Dina, Tian, Yonglong · 2023 · arXiv
- A Security Risk Taxonomy for Prompt-Based Interaction With Large Language ModelsErik Derner, Kristina Batistič, Jan Zahálka, Robert Babuška · 2024 · IEEE Access
- ChestXRayBERT: A Pretrained Language Model for Chest Radiology Report SummarizationCai, Xiaoyan, Liu, Sen, Han, Junwei, Yang, Libin, Liu, Zhenguo, Liu, Tianming · 2023 · IEEE Transactions on Multimedia
- 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)
- Large Language Model Augmented Narrative Driven RecommendationsSheshera Mysore, Andrew McCallum, Hamed Zamani · 2023 · ACM Conference on Recommender Systems (RecSys)
- Aligning Large Language Models with Human: A SurveyWang, Yufei, Zhong, Wanjun, Li, Liangyou, Mi, Fei, Zeng, Xingshan, Huang, Wenyong, Shang, Lifeng, Jiang, Xin, Liu, Qun · 2023 · arXiv
- BookGPT: A General Framework for Book Recommendation Empowered by Large Language ModelZhiyu Li, Yanfang Chen, Xuan Zhang, Xun Liang · 2023 · Electronics
- Comparing Software Developers with ChatGPT: An Empirical InvestigationNascimento, Nathalia, Paulo Alencar, Cowan, Donald · 2023 · arXiv (Cornell University)
- Red Teaming Language Model Detectors with Language ModelsZhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho‐Jui Hsieh · 2024 · Transactions of the Association for Computational Linguistics
- Exploring the Feasibility of ChatGPT for Event ExtractionJun Gao, Huan Zhao, Changlong Yu, Ruifeng Xu · 2023 · arXiv (Cornell University)
- Contemporary Recommendation Systems on Big Data and Their Applications: A SurveyZiyuan Xia, Anchen Sun, Jingyi Xu, Yuanzhe Peng, Rui Ma, Minghui Cheng · 2024 · IEEE Access
- Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content FilteringYucheng Li · 2023 · arXiv (Cornell University)
- 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
- Improving Large Language Models for Clinical Named Entity Recognition via Prompt EngineeringYan 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)
- Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission ExamsDesnes Nunes, Ricardo Primi, Ramon Pires, Roberto Lotufo, Rodrigo Frassetto Nogueira · 2023 · arXiv (Cornell University)
- Is ChatGPT a Good Recommender? A Preliminary StudyLiu, Junling, Liu, Chao, Zhou, Peilin, Lv, Renjie, Zhou, Kang, Zhang, Yan · 2023 · arXiv
- 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
- 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)
- 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
- A survey of attack detection approaches in collaborative filtering recommender systemsFatemeh Rezaimehr, C. Dadkhah · 2020 · Artificial Intelligence Review
- ChatGPT may Pass the Bar Exam soon, but has a Long Way to Go for the LexGLUE benchmarkIlias Chalkidis · 2023 · Social Science Research Network
- Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about CodeSavelka, Jaromir, Agarwal, Arav, Bogart, Christopher, Sakr, Majd · 2023 · arXiv
- Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language UnderstandingYuqing Wang, Yun Fu Zhao, Linda Ruth Petzold · 2023 · arXiv (Cornell University)
- Controllable Text-to-Image Generation with GPT-4Tianjun Zhang, Zhang, Yi, Vibhav Vineet, Neel Joshi, Xin Wang · 2023 · arXiv (Cornell University)
- ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationLuo, Zheheng, Xie, Qianqian, Ananiadou, Sophia · 2023 · arXiv
- TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Eldan, Ronen, Li, Yuanzhi · 2023 · arXiv
- An Empirical Study on Information Extraction using Large Language ModelsHan, Ridong, Yang, Chaohao, Peng, Tao, Tiwari, Prayag, Wan, Xiang, Liu, Lu, Wang, Benyou · 2023 · arXiv
- Large Language Models are Built-in Autoregressive Search EnginesNoah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
- Z-Code++: A Pre-trained Language Model Optimized for Abstractive SummarizationPengcheng 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
- Igniting language intelligence: The hitchhiker’s guide from chain-of-thought reasoning to language agentsZhang, 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
- Translating Natural Language to Planning Goals with Large-Language ModelsXie, Yaqi, Yu, Chen, Zhu, Tongyao, Bai, Jinbin, Gong, Ze, Soh, Harold · 2023 · arXiv
- BLESS: Benchmarking Large Language Models on Sentence SimplificationTannon 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)
- ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model RobustnessJán Čegiň, Jakub Šimko, Peter L. Brusilovsky · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Evaluation of GPT and BERT-based models on identifying proteinprotein interactions in biomedical textHasin Rehana, Nur Bengisu Çam, Mert Basmaci, Jie Zheng, Christianah Jemiyo, Y. He, Arzucan Özgür, J. Hur · 2023 · arXiv.org
- LAiW: A Chinese Legal Large Language Models BenchmarkDai, Yongfu, Duanyu Feng, Jimin Huang, Haochen Jia, Qianqian Xie, Yifang Zhang, Weiguang Han, Tian, Wei, Wang, Hao · 2023 · arXiv (Cornell University)
- Exploring Zero and Few-shot Techniques for Intent ClassificationSoham Parikh, Mitul Tiwari, Prashil Tumbade, Quaizar Vohra · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
- CHEAT: A Large-scale Dataset for Detecting ChatGPT-writtEn AbsTractsYu, Peipeng, Chen, Jiahan, Feng, Xuan, Xia, Zhihua · 2023 · arXiv
- 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)
- A Benchmark for Lease Contract ReviewSpyretta Leivaditi, Julien Rossi, Evangelos Kanoulas · 2020 · arXiv (Cornell University)
- REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question AnsweringYuanze Lin, Yujia Xie, Dongdong Chen · 2022 · arXiv (Cornell University)
- A Brief Report on LawGPT 1.0: A Virtual Legal Assistant Based on GPT-3Ha-Thanh Nguyen · 2023 · arXiv (Cornell University)
- ChatGPT Performs on the Chinese National Medical Licensing ExaminationXinyi Wang, Zhenye Gong, Guoxin Wang · 2023 · Research Square
- Adaptive Machine Translation with Large Language ModelsYasmin Moslem, Rejwanul Haque, Kelleher, John D. · 2023 · arXiv (Cornell University)
- Multimodal Conversational AI: A Survey of Datasets and ApproachesAnirudh Sundar, Larry P. Heck · 2022 · Workshop on NLP for Conversational AI (NLP4ConvAI)
- A Primer on Pretrained Multilingual Language ModelsSumanth Doddapaneni, Ramesh, Gowtham, Mitesh M. Khapra · 2021 · arXiv (Cornell University)
- BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language ModelsWei Qi Leong, Jian Gang Ngui, Yosephine Susanto, Hamsawardhini Rengarajan, Kengatharaiyer Sarveswaran, William Chandra Tjhi · 2023 · arXiv (Cornell University)
- Human-like Summarization Evaluation with ChatGPTGao, Mingqi, Ruan, Jie, Sun, Renliang, Yin, Xunjian, Yang, Shiping, Wan, Xiaojun · 2023 · arXiv
- To ChatGPT, or not to ChatGPT: That is the question!Pegoraro, Alessandro, Kumari, Kavita, Fereidooni, Hossein, Sadeghi, Ahmad-Reza · 2023 · arXiv
- Smaller Language Models are Better Black-box Machine-Generated Text DetectorsMireshghallah, Niloofar, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick · 2023 · arXiv (Cornell University)
- GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language ModelsPawan Kumar Rajpoot, Ankur P. Parikh · 2023 · Workshop on Financial Technology and Natural Language Processing (FinNLP)
- On Learning to Summarize with Large Language Models as ReferencesYixin Liu, Kejian Shi, Katherine He · 2024 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
- An Empirical Study on Neural Keyphrase GenerationRui 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)
- A Survey of Adversarial Defences and Robustness in NLPShreyansh Goyal, Sumanth Doddapaneni, Mitesh M.Khapra, B. Ravindran · 2022 · arXiv (Cornell University)
- ChatGPT vs state-of-the-art models: a benchmarking study in keyphrase generation taskRoberto Martínez-Cruz, Álvaro J. López-López, José Portela · 2024 · Applied Intelligence
- SocialDial: A Benchmark for Socially-Aware Dialogue SystemsHaolan 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)
- Benchmarking Large Language Models on CMExam - A Comprehensive Chinese Medical Exam DatasetLiu, Junling, Zhou, Peilin, Hua, Yining, Chong, Dading, Tian, Zhongyu, Liu, Andrew, Wang, Helin, You, Chenyu, Guo, Zhenhua, Zhu, Lei et al. · 2023 · arXiv
- RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial PerturbationsYilun 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
- How Large Language Models are Transforming Machine-Paraphrase PlagiarismWahle, Jan Philip, Ruas, Terry, Kirstein, Frederic, Gipp, Bela · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Rethinking Multi-Interest Learning for Candidate Matching in Recommender SystemsYueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim · 2023 · ACM Conference on Recommender Systems (RecSys)
- Improving graph-based random walks for complex question answering using syntactic, shallow semantic and extended string subsequence kernelsYllias Chali, Sadid A. Hasan, Shafiq Joty · 2010 · Information Processing & Management
- Do GPTs Produce Less Literal Translations?Vikas Raunak, Arul Menezes, Matt Post, Hany Hassan · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
- Benchmarking Foundation Models with Language-Model-as-an-ExaminerBai, Yushi, Ying, Jiahao, Cao, Yixin, Lv, Xin, He, Yuze, Wang, Xiaozhi, Yu, Jifan, Zeng, Kaisheng, Xiao, Yijia, Lyu, Haozhe et al. · 2023 · arXiv
- Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training DataDominik Stammbach, Maria Antoniak, Elliott Ash · 2022