WikiQA: A Challenge Dataset for Open-Domain Question Answering

Yang, Yi, Yih, Wen-tau, Meek, Christopher·2015·Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
DOI 10.18653/v1/d15-1237

Cited by (835)

Items 801–835 of 835

  1. Automatic Detection of AI-Generated Text from LLMs Using Feature-Driven Transformer Networks
    Annepaka Yadagiri, Reddi Mohana Krishna, Partha Pakray, Matúš Pleva, Daniel Hládek, Kristián Sopkovič · 2025 · Lecture notes in computer science
  2. MTCR: Method for Matching Texts Against Causal Relationship
    XinYue Jiang, Jingsong He, Li Gu · 2025 · Neural Processing Letters
  3. A Benchmark Suite of Japanese Natural Questions
    Takuya Uematsu, Hao Wang, So Fukuda, Daisuke Kawahara, Tomohide Shibata · 2025 · Journal of Natural Language Processing
  4. Unsupervised Semantic Retrieval via Neural Estimation of Pointwise Mutual Information
    Xiaohan Jiang, Richong Zhang, Yanzhao Zhang, Junfan Chen · 2025 · IEEE Transactions on Audio Speech and Language Processing
  5. Improving Learning to Cross-Lingual Question Answering via Performance Enhancement with XLM-R+ model
    Sudarshan Yerragunta, Paramveer Singh, Rajendra Prasath, G. N. Girish · 2025 · Lecture notes in computer science
  6. Investigations on Automatic Question Answering Based on Knowledge Fusion
    Mingli Wu, Wenbo Zheng, Jingyi Zhai, Bin Li, Jianyong Duan · 2025 · Lecture notes in networks and systems
  7. Educational QA System-Oriented Answer Selection Model Based on Focus Fusion of Multi-Perspective Word Matching
    Xiaoli Hu, Junfei He, Zhaoyu Shou, Ziming Liu, Huibing Zhang · 2025 · Computers
  8. Transparent Information Retrieval (TIR) and the LtConceptNet
    Gregor Thurmair · 2025 · Cognitive technologies
  9. AI Enabled Question Answering Systems: A Survey
    Navodita Singh, Akhtar Rasool, Pragati Agrawal · 2025 · World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS)
  10. Addressing task conflicts in LLMs multi-task fine-tuning with task-specific subnetwork refinement
    Yiqun Wang, Chaoqun Wan, Xiang Tian, Xuesong Liu, Yaowu Chen · 2025 · Machine Learning
  11. TriG-RAG: Triple-Granularity Fusion for Retrieval-Augmented Generation with Adaptive Context-Relation Balance
    Jingrui Zhang, Yufeng Chen, Jinan Xu · 2025 · Lecture notes in computer science
  12. Exploring unanswerability in machine reading comprehension: approaches, benchmarks, and open challenges
    Hadiseh Moradisani, Fattane Zarrinkalam, Zeinab Noorian, Faezeh Ensan · 2025 · Artificial Intelligence Review
  13. STARC: Selective Token Access with Remapping and Clustering for Efficient LLM Decoding on PIM Systems
    Zehao Fan, Yunzhen Liu, Garrett Gagnon, Liu Liu, Yayue Hou, Hadjer Benmeziane, Kaoutar El Maghraoui, Liu Liu · 2026 · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
  14. Simulating User Watch-Time to Investigate Bias in YouTube Shorts Recommendations
    Nitin Agarwal, S. Dağtaş, Mert Can Çakmak · 2026 · Lecture notes in computer science
  15. Unraveling Creativity Through Variability: A Comparison of LLMs and Humans in an Educational Q&A Scenario
    Michele Braccini, Gianluca Aguzzi, Paolo Baldini · 2026 · Technology Knowledge and Learning
  16. ConvHistQA: exploring comprehensive history selection in conversational question answering
    Imran Khan, Ashish Kumar, Brajesh Kumar Khare · 2026 · Knowledge and Information Systems
  17. Developing an Intelligent Question Answering System for Enhanced
    layla sultan, Neamat El Gayar · 2026 · SSRN Electronic Journal
  18. Question Answering with Hybrid Data and Models
    Sanjay Kamath · 2020 · theses.fr (ABES)
  19. Neural models for information retrieval : towards asymmetry sensitive approaches based on attention models
    Thiziri Belkacem · 2019 · theses.fr (ABES)
  20. Skeleton-based approach for semantic textual similarity
    Hao Wu, Degen Huang, Xiaohui Lin · 2026 · Natural language processing.
  21. Robust and Efficient Detection of Large Language Model-Generated Text via the Multi-Feature Accurate Detection (MFAD) Approach
    Doaa Mostafa, Sally Ismail, Mostafa Mahmoud Aref · 2026 · Cybernetics and Information Technologies
  22. Efficient Mixture-of-Experts Model Inference at the Edge via Adaptive Expert Merging
    Ruirui Zhang, Yifei Zou, Peng Li, Fahao Chen, Yupeng Li, Xiuzhen Cheng, Falko Dressler, Dongxiao Yu · 2026 · IEEE Transactions on Networking
  23. Generative score inference for multimodal data
    Xinyu Tian, Xiaotong Shen · 2026 · The Annals of Applied Statistics
  24. PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving
    Meghana Maghyastha, Robert Underwood, Randal Burns, Bogdan Nicolae · 2026 · Lecture notes in computer science
  25. A Review of Deep Learning-Based Question Generation: Challenges, Methods, and Future Directions
    Mohamed Fathy Yehia, Yehia M. Helmi, Mahmoud Mohamed Bahloul · 2026 · International Journal of Computational Intelligence Systems
  26. A Quantum-inspired Language Model Based on Transformer and Unitary Evolution for Question-answering
    Yuheng Zha, Lian-He Shao, Xihan Wang, Quanli Gao · 2026
  27. A sketch of a pencil writing on a lined sheet of paper, symbolizing writing or note-taking. The pencil is yellow with a red eraser and a silver band, positioned diagonally across the page. The lines on the paper are blue and evenly spaced, indicating text or writing space. This image represents the act of writing or creating text. NoTeS-Bank: Benchmarking Vision-Language Models on Unstructured Academic and Scientific Note-Taking
    Alloy Das, Sanket Biswas, Soumitri Chattopadhyay, Ayush Lodh, Aniket Pal, Priyanka Banerjee, Nisha Singh, C. V. Jawahar, Josep Lladós, Dìmosthenis Karatzas · 2026 · Lecture notes in computer science
  28. The Evolution of Question Generation: Analyzing the Impact of Large Language Models
    Pawan Bhakuni, Ganesh Bahadur Singh, Aanchal Punia, Himanshu Suyal, Nitin Sharma · 2026 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  29. DIAMM: A Distributed Inference Acceleration Framework for Multimodal Edge Applications
    Zhi Yao, Zhiqing Tang, Hanshuai Cui, Weijia Jia B, Wei Zhao · 2026 · IEEE Transactions on Parallel and Distributed Systems
  30. Embedding Collision Attacks: A Representation-Level Threat to NLP Systems
    Bikash Saha, Nanda Rani, Urbi Chatterjee, Sandeep K. Shukla · 2026 · Lecture notes in computer science
  31. An Auditable Binary Evidence-Escalation Protocol for Prompt-Constrained Retrieval-Augmented Question Answering
    Jinyi Zhu, Hao Wu, Yi Cao · 2026 · Electronics
  32. Light Wings: More Efficient Speculative Decoding Via Linear Attention
    Jiaping Wang, Yifan Xu, Yifan Chen, Jianwen Li · 2026 · International Joint Conference on Neural Networks (IJCNN)
  33. HyCo 2 : Hybrid Context Compression with Global Semantics and Local Evidence
    Huanxuan Liao, Yao Xu, Shizhu He, Jun Zhao, Kang Liu · 2026 · ACM Transactions on Information Systems
  34. Discriminative vs. Generative AI in Academic Chatbot Deployment: An Empirical Benchmark of Performance, Latency, and Hardware Efficiency
    Usman Ashraf, Mushtaq Hussain, Said Nabi, Muhammad Kamran, Haris Lutfullah · 2026 · SSRN Electronic Journal
  35. Less Is More: Knowledge Graph Construction and Schema-Guided Canonicalization with LLMs
    Hwangseon Park, Hayeon Yang, Dongyoung Son, Myoungseok Song, Hayoung Oh · 2026 · ACM International Conference on Information and Knowledge Management (CIKM)