mlsanityData to 13 Oct 2026

QuAC : Question Answering in Context

arXiv 1808.07036 ↗First posted 21 Aug 2018cs.CL cs.AI cs.LGcited by 380

Not on the map. Why?

Abstract (arXiv)

We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total). The dialogs involve two crowd workers: (1) a student who poses a sequence of freeform questions to learn as much as possible about a hidden Wikipedia text, and (2) a teacher who answers the questions by providing short excerpts from the text. QuAC introduces challenges not found in existing machine comprehension datasets: its questions are often more open-ended, unanswerable, or only meaningful within the dialog context, as we show in a detailed qualitative evaluation. We also report results for a number of reference models, including a recently state-of-the-art reading comprehension architecture extended to model dialog context. Our best model underperforms humans by 20 F1, suggesting that there is significant room for future work on this data. Dataset, baseline, and leaderboard available at http://quac.ai.

Key facts. Cited by 380 papers in the map (data through 13 Oct 2026). First posted on arXiv 21 Aug 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2021: 81; 2022: 70; 2023: 78; 2024: 87; 2025: 46; 2026: 18.

380 papers.

Sort:

By area:

  1. 2022Training language models to follow instructions with human feedbackcited by 15,856
  2. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,979
  3. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,765
  4. 2023Mistral 7Bcited by 3,123
  5. 2024Mixtral of Expertscited by 1,811
  6. 2021GLaM: Efficient Scaling of Language Models with Mixture-of-Expertscited by 896
  7. 2024Yi: Open Foundation Models by 01.AIcited by 715
  8. 2023A Comprehensive Overview of Large Language Modelscited by 644
  9. 2024Large Language Models: A Surveycited by 520
  10. 2021A Dataset of Information-Seeking Questions and Answers Anchored in Research Paperscited by 478
  11. 2025LLMs Get Lost In Multi-Turn Conversationcited by 418
  12. 2023Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyondcited by 411
38 more
  1. 2024Jamba: A Hybrid Transformer-Mamba Language Modelcited by 394
  2. 2021Measuring Attribution in Natural Language Generation Modelscited by 253
  3. 2022Efficient Training of Language Models to Fill in the Middlecited by 251
  4. 2022ASQA: Factoid Questions Meet Long-Form Answerscited by 231
  5. 2025Reasoning with Latent Thoughts: On the Power of Looped Transformerscited by 228
  6. 2022ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answeringcited by 196
  7. 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answeringcited by 178
  8. 2023Benchmarking Foundation Models with Language-Model-as-an-Examinercited by 172
  9. 2021ExT5: Towards Extreme Multi-Task Scaling for Transfer Learningcited by 161
  10. 2023FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learningcited by 149
  11. 2021SituatedQA: Incorporating Extra-Linguistic Contexts into QAcited by 145
  12. 2024Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluationscited by 140
  13. 2021Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformercited by 134
  14. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  15. 2023MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problemscited by 129
  16. 2024Know Your Limits: A Survey of Abstention in Large Language Modelscited by 118
  17. 2022Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Modelscited by 109
  18. 2021WebSRC: A Dataset for Web-Based Structural Reading Comprehensioncited by 98
  19. 2021TopiOCQA: Open-domain Conversational Question Answering with Topic Switchingcited by 95
  20. 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
  21. 2024ChatQA: Surpassing GPT-4 on Conversational QA and RAGcited by 90
  22. 2023Context-faithful Prompting for Large Language Modelscited by 79
  23. 2024Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gapcited by 79
  24. 2021Evaluating Attribution in Dialogue Systems: The BEGIN Benchmarkcited by 76
  25. 2024SPIQA: A Dataset for Multimodal Question Answering on Scientific Paperscited by 75
  26. 2022CREPE: Open-Domain Question Answering with False Presuppositionscited by 71
  27. 2023Efficient Benchmarking of Language Modelscited by 71
  28. 2023Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactionscited by 70
  29. 2023Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewritingcited by 69
  30. 2021CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learningcited by 68
  31. 2024Instruction Pre-Training: Language Models are Supervised Multitask Learnerscited by 63
  32. 2023ConvGQR: Generative Query Reformulation for Conversational Searchcited by 59
  33. 2023LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Constructioncited by 57
  34. 2022Dialog Inpainting: Turning Documents into Dialogscited by 56
  35. 2021MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documentscited by 53
  36. 2025MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systemscited by 50
  37. 2023An Open Source Data Contamination Report for Large Language Modelscited by 49
  38. 2023Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluationcited by 47

50 most cited of 380 All 380 (JSON)