---
title: "Hannaneh Hajishirzi — all works — Elamur Research"
description: "All 105 works of Hannaneh Hajishirzi in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Hannaneh Hajishirzi — all works

105 works · page 1 of 2 · 1–100 · [← Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/)

**1** [2](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/works/page/2/) [next →](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/works/page/2/)

1. **[Self-Instruct: Aligning Language Models with Self-Generated Instructions ↗](https://aclanthology.org/2023.acl-long.754/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yizhong Wang et al.*2023 · 2,054 citations*
2. [**Bidirectional Attention Flow for Machine Comprehension arXiv:1611.01603**Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al.*2016 · 1,988 citations*](https://md.research.elamur.ai/free/en/papers/seo-2016-bidirectional-attention-flow-machine-comprehension/)
3. **[Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?](https://md.research.elamur.ai/free/en/papers/min-2022-rethinking-role-demonstrations-what-makes/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Xinxi Lyu, Ari Holtzman, et al.*2022 · 1,444 citations*
4. **[FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation](https://md.research.elamur.ai/free/en/papers/min-2023-factscore-fine-grained-atomic-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.*2023 · 987 citations*
5. **[Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/luan-2018-multi-task-identification-entities-relations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yi Luan, Luheng He, Mari Ostendorf, et al.*2018 · 945 citations*
6. **[UNIFIEDQA: Crossing Format Boundaries with a Single QA System](https://md.research.elamur.ai/free/en/papers/khashabi-2020-unifiedqa-crossing-format-boundaries-single/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Daniel Khashabi, Sewon Min, Tushar Khot, et al.*2020 · 857 citations*
7. **[When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories ↗](https://aclanthology.org/2023.acl-long.546/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Alex Mallen et al.*2023 · 843 citations*
8. **[Entity, Relation, and Event Extraction with Contextualized Span Representations](https://md.research.elamur.ai/free/en/papers/wadden-2019-entity-relation-event-extraction-contextualized/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Wadden, Ulme Wennberg, Yi Luan, et al.*2019 · 823 citations*
9. **[Cross-Task Generalization via Natural Language Crowdsourcing Instructions ↗](https://aclanthology.org/2022.acl-long.244/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Swaroop Mishra et al.*2022 · 748 citations*
10. **[Fact or Fiction: Verifying Scientific Claims](https://md.research.elamur.ai/free/en/papers/wadden-2020-fact-or-fiction-verifying-scientific/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Wadden, Shanchuan Lin, Kyle Lo, et al.*2020 · 709 citations*
11. [**Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection arXiv:2310.11511**Akari Asai, Zeqiu Wu, Yizhong Wang, et al.*2023 · 677 citations*](https://md.research.elamur.ai/free/en/papers/asai-2023-self-rag-learning-retrieve-generate/)
12. **[s1: Simple test-time scaling](https://md.research.elamur.ai/free/en/papers/muennighoff-2025-s1-simple-test-time-scaling/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.*2025 · 608 citations*
13. **[ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network ↗](https://doi.org/10.1109/cvpr.2019.00941) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Sachin Mehta et al.*2019 · 575 citations*
14. **[Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics ↗](https://aclanthology.org/2020.emnlp-main.746/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Swabha Swayamdipta et al.*2020 · 535 citations*
15. [**Evaluating Models' Local Decision Boundaries via Contrast Sets**Matt Gardner, Yoav Artzi, Victoria Basmov, et al.*Mova's core list · 531 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)
16. **[Robust fine-tuning of zero-shot models ↗](https://doi.org/10.1109/cvpr52688.2022.00780) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mitchell Wortsman et al.*2022 · 519 citations*
17. [**Learning to Solve Arithmetic Word Problems with Verb Categorization**Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, et al.*Mova's core list · 513 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-2014-learning-solve-arithmetic-word-problems/)
18. **[MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms](https://md.research.elamur.ai/free/en/papers/amini-2019-mathqa-interpretable-math-word-problem/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Aida Amini, Saadia Gabriel, Shanchuan Lin, et al.*2019 · 507 citations*
19. [**MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts arXiv:2310.02255**Pan Lu, Hritik Bansal, Tony Xia, et al.*2023 · 468 citations*](https://md.research.elamur.ai/free/en/papers/lu-2023-mathvista-evaluating-mathematical-reasoning-foundation/)
20. **[MAWPS: A Math Word Problem Repository ↗](https://aclanthology.org/N16-1136/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Rik Koncel-Kedziorski et al.*2016 · 461 citations*
21. **[AmbigQA: Answering Ambiguous Open-domain Questions ↗](https://aclanthology.org/2020.emnlp-main.466/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Sewon Min et al.*2020 · 437 citations*
22. **[A general framework for information extraction using dynamic span graphs](https://md.research.elamur.ai/free/en/papers/luan-2019-general-framework-information-extraction-dynamic/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yi Luan, Dave Wadden, Luheng He, et al.*2019 · 431 citations*
23. **[OLMo: Accelerating the Science of Language Models ↗](https://aclanthology.org/2024.acl-long.841/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Dirk Groeneveld et al.*2024 · 429 citations*
24. **[Parsing Algebraic Word Problems into Equations ↗](https://aclanthology.org/Q15-1042/) Transactions of the Association for Computational Linguistics · no summary yet**Rik Koncel-Kedziorski et al.*2015 · 404 citations*
25. [**Editing Models with Task Arithmetic arXiv:2212.04089**Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.*2022 · 402 citations*](https://md.research.elamur.ai/free/en/papers/ilharco-2022-editing-models-task-arithmetic/)
26. **[Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension ↗](https://doi.org/10.1109/cvpr.2017.571) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Aniruddha Kembhavi et al.*2017 · 360 citations*
27. **[Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ↗](https://aclanthology.org/2024.acl-long.840/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Luca Soldaini et al.*2024 · 341 citations*
28. **[Generated Knowledge Prompting for Commonsense Reasoning ↗](https://aclanthology.org/2022.acl-long.225/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jiacheng Liu et al.*2022 · 329 citations*
29. **[How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources](https://md.research.elamur.ai/free/en/papers/wang-2023-far-camels-go-exploring-state/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.*2023 · 317 citations*
30. **[MetaICL: Learning to Learn In Context ↗](https://arxiv.org/abs/2110.15943) arXiv:2110.15943 · no summary yet**Sewon Min et al.*2021 · 315 citations*
31. **[Multi-hop Reading Comprehension through Question Decomposition and Rescoring](https://md.research.elamur.ai/free/en/papers/min-2019-multi-hop-reading-comprehension-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Victor Zhong, Luke Zettlemoyer, et al.*2019 · 312 citations*
32. **[Text Generation from Knowledge Graphs with Graph Transformers](https://md.research.elamur.ai/free/en/papers/kedziorski-2019-text-generation-knowledge-graphs-graph/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, et al.*2019 · 288 citations*
33. [**Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering arXiv:1911.10470**Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, et al.*2019 · 280 citations*](https://md.research.elamur.ai/free/en/papers/asai-2019-learning-retrieve-reasoning-paths-over/)
34. **[2 OLMo 2 Furious ↗](https://arxiv.org/abs/2501.00656) arXiv:2501.00656 · no summary yet**Team OLMo et al.*2025 · 262 citations*
35. **[Noisy Channel Language Model Prompting for Few-Shot Text Classification](https://md.research.elamur.ai/free/en/papers/min-2021-noisy-channel-language-model-prompting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.*2021 · 243 citations*
36. **[Reframing Instructional Prompts to GPTk's Language](https://md.research.elamur.ai/free/en/papers/mishra-2022-reframing-instructional-prompts-gptk-s/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Swaroop Mishra, Daniel Khashabi, Chitta Baral, et al.*2022 · 242 citations*
37. **[A Discrete Hard EM Approach for Weakly Supervised Question Answering](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al.*2019 · 237 citations*
38. **[Compositional Questions Do Not Necessitate Multi-hop Reasoning](https://md.research.elamur.ai/free/en/papers/min-2019-compositional-questions-do-not-necessitate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Eric Wallace, Sameer Singh, et al.*2019 · 235 citations*
39. [**A Diagram Is Worth A Dozen Images arXiv:1603.07396**Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al.*2016 · 231 citations*](https://md.research.elamur.ai/free/en/papers/kembhavi-2016-diagram-worth-dozen-images/)
40. [**Fine-Grained Human Feedback Gives Better Rewards for Language Model Training arXiv:2306.01693**Zeqiu Wu, Yushi Hu, Weijia Shi, et al.*2023 · 223 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-fine-grained-human-feedback-gives/)
41. **[SciREX: A Challenge Dataset for Document-Level Information Extraction](https://md.research.elamur.ai/free/en/papers/jain-2020-scirex-challenge-dataset-document-level/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, et al.*2020 · 220 citations*
42. **[Solving Geometry Problems: Combining Text and Diagram Interpretation](https://md.research.elamur.ai/free/en/papers/seo-2015-solving-geometry-problems-combining-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, et al.*2015 · 220 citations*
43. **[Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index](https://md.research.elamur.ai/free/en/papers/seo-2019-real-time-open-domain-question/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, et al.*2019 · 218 citations*
44. **[XOR QA: Cross-lingual Open-Retrieval Question Answering](https://md.research.elamur.ai/free/en/papers/asai-2021-xor-qa-cross-lingual-open/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Akari Asai, Jungo Kasai, Jonathan Clark, et al.*2021 · 210 citations*
45. [**Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2 arXiv:2311.10702**Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.*2023 · 207 citations*](https://md.research.elamur.ai/free/en/papers/ivison-2023-camels-changing-climate-enhancing-lm/)
46. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization arXiv:2210.01241**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 174 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
47. **[Question Answering through Transfer Learning from Large Fine-grained Supervision Data ↗](https://aclanthology.org/P17-2081/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Sewon Min, Minjoon Seo, Hannaneh Hajishirzi*2017 · 157 citations*
48. [**ART: Automatic multi-step reasoning and tool-use for large language models arXiv:2303.09014**Bhargavi Paranjape, Scott Lundberg, Sameer Singh, et al.*2023 · 154 citations*](https://md.research.elamur.ai/free/en/papers/paranjape-2023-art-automatic-multi-step-reasoning/)
49. **[An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction](https://md.research.elamur.ai/free/en/papers/paranjape-2020-information-bottleneck-approach-controlling-conciseness/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bhargavi Paranjape, Mandar Joshi, John Thickstun, et al.*2020 · 140 citations*
50. [**Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering arXiv:1911.03868**Sewon Min, Danqi Chen, Luke Zettlemoyer, et al.*2019 · 133 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-knowledge-guided-text-retrieval-reading/)
51. **[Task-aware Retrieval with Instructions](https://md.research.elamur.ai/free/en/papers/asai-2023-task-aware-retrieval-instructions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Akari Asai, Timo Schick, Patrick Lewis, et al.*2023 · 132 citations*
52. **[Diagram Understanding in Geometry Questions ↗](https://doi.org/10.1609/aaai.v28i1.9146) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Min Joon Seo et al.*2014 · 130 citations*
53. **[ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts](https://md.research.elamur.ai/free/en/papers/asai-2022-attempt-parameter-efficient-multi-task/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.*2022 · 122 citations*
54. **[Logic-Guided Data Augmentation and Regularization for Consistent Question Answering](https://md.research.elamur.ai/free/en/papers/asai-2020-logic-guided-data-augmentation-regularization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Akari Asai, Hannaneh Hajishirzi*2020 · 113 citations*
55. **[X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers ↗](https://aclanthology.org/2020.emnlp-main.707/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Jaemin Cho et al.*2020 · 112 citations*
56. [**Data Engineering for Scaling Language Models to 128K Context arXiv:2402.10171**Yao Fu, Rameswar Panda, Xinyao Niu, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/)
57. **[NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned ↗](https://arxiv.org/abs/2101.00133) arXiv (Cornell University) · no summary yet**Sewon Min et al.*2021 · 108 citations*
58. **[Scientific Information Extraction with Semi-supervised Neural Tagging ↗](https://aclanthology.org/D17-1279/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yi Luan, Mari Ostendorf, Hannaneh Hajishirzi*2017 · 108 citations*
59. [**Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging arXiv:2310.11564**Joel Jang, Seungone Kim, Bill Yuchen Lin, et al.*2023 · 102 citations*](https://md.research.elamur.ai/free/en/papers/jang-2023-personalized-soups-personalized-large-language/)
60. [**Fine-grained Hallucination Detection and Editing for Language Models arXiv:2401.06855**Abhika Mishra, Akari Asai, Vidhisha Balachandran, et al.*2024 · 100 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2024-fine-grained-hallucination-detection-editing/)
61. **[MedICaT: A Dataset of Medical Images, Captions, and Textual References ↗](https://aclanthology.org/2020.findings-emnlp.191/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Sanjay Subramanian et al.*2020 · 100 citations*
62. **[MultiVerS: Improving scientific claim verification with weak supervision and full-document context ↗](https://aclanthology.org/2022.findings-naacl.6/) Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yet**David Wadden et al.*2022 · 98 citations*
63. **[Probing Across Time: What Does RoBERTa Know and When?](https://md.research.elamur.ai/free/en/papers/liu-2021-probing-across-time-what-does/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Leo Z. Liu, Yizhong Wang, Jungo Kasai, et al.*2021 · 96 citations*
64. **[Prompting Contrastive Explanations for Commonsense Reasoning Tasks ↗](https://aclanthology.org/2021.findings-acl.366/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Bhargavi Paranjape et al.*2021 · 96 citations*
65. **[CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wu-2022-conqrr-conversational-query-rewriting-retrieval/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zeqiu Wu, Yi Luan, Hannah Rashkin, et al.*2022 · 95 citations*
66. **[SciFact-Open: Towards open-domain scientific claim verification](https://md.research.elamur.ai/free/en/papers/wadden-2022-scifact-open-open-domain-scientific/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**David Wadden, Kyle Lo, Bailey Kuehl, et al.*2022 · 94 citations*
67. **[Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves](https://md.research.elamur.ai/free/en/papers/hajishirzi-2013-joint-coreference-resolution-named-entity/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, et al.*2013 · 88 citations*
68. [**Do Membership Inference Attacks Work on Large Language Models? arXiv:2402.07841**Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/duan-2024-membership-inference-attacks-work-large/)
69. **[BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer](https://md.research.elamur.ai/free/en/papers/asai-2024-buffet-benchmarking-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Akari Asai, Sneha Kudugunta, Xinyan Yu, et al.*2024 · 86 citations*
70. **[Efficient Passage Retrieval with Hashing for Open-domain Question Answering ↗](https://aclanthology.org/2021.acl-short.123/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yet**Ikuya Yamada, Akari Asai, Hannaneh Hajishirzi*2021 · 85 citations*
71. **[Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering](https://md.research.elamur.ai/free/en/papers/liu-2022-rainier-reinforced-knowledge-introspector-commonsense/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiacheng Liu, Skyler Hallinan, Ximing Lu, et al.*2022 · 82 citations*
72. **[Mixture Content Selection for Diverse Sequence Generation ↗](https://aclanthology.org/D19-1308/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi*2019 · 79 citations*
73. [**NaturalProofs: Mathematical Theorem Proving in Natural Language arXiv:2104.01112**Sean Welleck, Jiacheng Liu, Ronan Le Bras, et al.*2021 · 76 citations*](https://md.research.elamur.ai/free/en/papers/welleck-2021-naturalproofs-mathematical-theorem-proving-natural/)
74. [**CREPE: Open-Domain Question Answering with False Presuppositions**Xinyan Yu, Sewon Min, Luke Zettlemoyer, et al.*English · 66 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-crepe-open-domain-question-answering/)
75. **[DeLighT: Deep and Light-weight Transformer ↗](https://arxiv.org/abs/2008.00623) arXiv (Cornell University) · no summary yet**Sachin Mehta et al.*2020 · 64 citations*
76. [**Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens arXiv:2401.17377**Jiacheng Liu, Sewon Min, Luke Zettlemoyer, et al.*2024 · 62 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-infini-gram-scaling-unbounded-n/)
77. **[Nonparametric Masked Language Modeling ↗](https://aclanthology.org/2023.findings-acl.132/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Sewon Min et al.*2023 · 62 citations*
78. **[NaturalProver: Grounded Mathematical Proof Generation with Language Models](https://md.research.elamur.ai/free/en/papers/welleck-2022-naturalprover-grounded-mathematical-proof-generation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Sean Welleck, Jiacheng Liu, Ximing Lu, et al.*2022 · 62 citations*
79. **[Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks](https://md.research.elamur.ai/free/en/papers/asai-2022-evidentiality-guided-generation-knowledge-intensive/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Akari Asai, Matt Gardner, Hannaneh Hajishirzi*2022 · 60 citations*
80. **[Generalizing Verifiable Instruction Following](https://md.research.elamur.ai/free/en/papers/pyatkin-2025-generalizing-verifiable-instruction-following/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Valentina Pyatkin, Saumya Malik, Victoria Graf, et al.*2025 · 59 citations*
81. **[Semi-Supervised Event Extraction with Paraphrase Clusters ↗](https://aclanthology.org/N18-2058/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yet**James Ferguson et al.*2018 · 57 citations*
82. **[Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations ↗](https://aclanthology.org/2023.acl-long.129/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xinxi Lyu et al.*2023 · 56 citations*
83. [**Spurious Rewards: Rethinking Training Signals in RLVR arXiv:2506.10947**Rulin Shao, Shuyue Stella Li, Rui Xin, et al.*2025 · 53 citations*](https://md.research.elamur.ai/free/en/papers/shao-2025-spurious-rewards-rethinking-training-signals/)
84. **[Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback](https://md.research.elamur.ai/free/en/papers/ivison-2024-unpacking-dpo-ppo-disentangling-best/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hamish Ivison, Yizhong Wang, Jiacheng Liu, et al.*2024 · 50 citations*
85. **[FaVIQ: FAct Verification from Information-seeking Questions ↗](https://aclanthology.org/2022.acl-long.354/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jungsoo Park et al.*2022 · 47 citations*
86. [**Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding arXiv:2309.15028**Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, et al.*2023 · 46 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-don-t-throw-away-value/)
87. [**Reliable, Adaptable, and Attributable Language Models with Retrieval arXiv:2403.03187**Akari Asai, Zexuan Zhong, Danqi Chen, et al.*2024 · 45 citations*](https://md.research.elamur.ai/free/en/papers/asai-2024-reliable-adaptable-attributable-language-models/)
88. **[SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore ↗](https://arxiv.org/abs/2308.04430) arXiv:2308.04430 · no summary yet**Sewon Min et al.*2023 · 45 citations*
89. **[A Theme-Rewriting Approach for Generating Algebra Word Problems ↗](https://aclanthology.org/D16-1168/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Rik Koncel-Kedziorski et al.*2016 · 44 citations*
90. **[Synthesizing scientific literature with retrieval-augmented language models ↗](https://doi.org/10.1038/s41586-025-10072-4) Nature · no summary yet**Akari Asai et al.*2026 · 42 citations*
91. **[CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation ↗](https://aclanthology.org/2022.findings-emnlp.216/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Tanay Dixit et al.*2022 · 37 citations*
92. **[Probing Contextual Language Models for Common Ground with Visual Representations](https://md.research.elamur.ai/free/en/papers/ilharco-2021-probing-contextual-language-models-common/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Gabriel Ilharco, Rowan Zellers, Ali Farhadi, et al.*2021 · 33 citations*
93. **[Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects ↗](https://arxiv.org/abs/1602.00753) arXiv:1602.00753 · no summary yet**Hessam Bagherinezhad et al.*2016 · 32 citations*
94. **[Organize the Web: Constructing Domains Enhances Pre-Training Data Curation ↗](https://arxiv.org/abs/2502.10341) ICML 2025 · no summary yet**Alexander Wettig et al.*2025 · 28 citations*
95. **[InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions](https://md.research.elamur.ai/free/en/papers/wu-2023-inscit-information-seeking-conversations-mixed/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zeqiu Wu, Ryu Parish, Hao Cheng, et al.*2023 · 23 citations*
96. **[CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation ↗](https://aclanthology.org/2024.emnlp-main.844/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tong Chen et al.*2024 · 19 citations*
97. **[ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition ↗](https://doi.org/10.52202/079017-4364) neural information processing systems · no summary yet**Mohammadreza Salehi et al.*2024 · 10 citations*
98. **[Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text ↗](https://aclanthology.org/2021.emnlp-main.141/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Christopher Clark et al.*2021 · 10 citations*
99. **[FlexOLMo: Open Language Models for Flexible Data Use ↗](https://doi.org/10.52202/085713-5530) neural information processing systems · no summary yet**Weijia Shi et al.*2025 · 5 citations*
100. **[Scaling Test-Time Compute for Agentic Coding ↗](https://arxiv.org/abs/2604.16529) arXiv (Cornell University) · no summary yet**Joongwon Kim et al.*2026 · 3 citations*

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