---
title: "Danqi Chen — all works — Elamur Research"
description: "All 114 works of Danqi Chen in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/danqi-chen/works/"
---
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# Danqi Chen — all works

114 works · page 1 of 2 · 1–100 · [← Danqi Chen](https://md.research.elamur.ai/free/en/authors/danqi-chen/)

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

1. [**RoBERTa: A Robustly Optimized BERT Pretraining Approach arXiv:1907.11692**Yinhan Liu, Myle Ott, Naman Goyal, et al.*2019 · 9,837 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-roberta-robustly-optimized-bert-pretraining/)
2. **[Dense Passage Retrieval for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/karpukhin-2020-dense-passage-retrieval-open-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Vladimir Karpukhin, Barlas Oguz, Sewon Min, et al.*2020 · 5,421 citations*
3. **[SimCSE: Simple Contrastive Learning of Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/gao-2021-simcse-simple-contrastive-learning-sentence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianyu Gao, Xingcheng Yao, Danqi Chen*2021 · 3,942 citations*
4. **[SpanBERT: Improving Pre-training by Representing and Predicting Spans](https://md.research.elamur.ai/free/en/papers/joshi-2019-spanbert-improving-pre-training-representing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Mandar Joshi, Danqi Chen, Yinhan Liu, et al.*2019 · 2,616 citations*
5. [**A Fast and Accurate Dependency Parser using Neural Networks**Danqi Chen, Christopher Manning*English · 2,314 citations*](https://md.research.elamur.ai/free/en/papers/chen-2014-fast-accurate-dependency-parser-neural/)
6. **[Reading Wikipedia to Answer Open-Domain Questions](https://md.research.elamur.ai/free/en/papers/chen-2017-reading-wikipedia-answer-open-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Danqi Chen, Adam Fisch, Jason Weston, et al.*2017 · 2,283 citations*
7. **[Making Pre-trained Language Models Better Few-shot Learners](https://md.research.elamur.ai/free/en/papers/gao-2021-making-pre-trained-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyu Gao, Adam Fisch, Danqi Chen*2021 · 1,987 citations*
8. **[Reasoning With Neural Tensor Networks for Knowledge Base Completion](https://md.research.elamur.ai/free/en/papers/socher-2013-reasoning-neural-tensor-networks-knowledge/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Richard Socher, Danqi Chen, Christopher D. Manning, et al.*2013 · 1,810 citations*
9. **[CoQA: A Conversational Question Answering Challenge](https://md.research.elamur.ai/free/en/papers/reddy-2019-coqa-conversational-question-answering-challenge/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Siva Reddy, Danqi Chen, Christopher D. Manning*2019 · 1,555 citations*
10. **[Observed versus latent features for knowledge base and text inference](https://md.research.elamur.ai/free/en/papers/toutanova-2015-observed-versus-latent-features-knowledge/) [Workshop on Continuous Vector Space Models and their Compositionality](https://md.research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/)**Kristina Toutanova, Danqi Chen*2015 · 1,243 citations*
11. **[Position-aware Attention and Supervised Data Improve Slot Filling ↗](https://aclanthology.org/D17-1004/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yuhao Zhang et al.*2017 · 1,169 citations*
12. **[Representing Text for Joint Embedding of Text and Knowledge Bases](https://md.research.elamur.ai/free/en/papers/toutanova-2015-representing-text-joint-embedding-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kristina Toutanova, Danqi Chen, Patrick Pantel, et al.*2015 · 907 citations*
13. **[A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task](https://md.research.elamur.ai/free/en/papers/chen-2016-thorough-examination-cnn-daily-mail/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Danqi Chen, Jason Bolton, Christopher D. Manning*2016 · 699 citations*
14. **[A Frustratingly Easy Approach for Entity and Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhong-2020-frustratingly-easy-approach-entity-relation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zexuan Zhong, Danqi Chen*2020 · 631 citations*
15. **[Enabling Large Language Models to Generate Text with Citations](https://md.research.elamur.ai/free/en/papers/gao-2023-enabling-large-language-models-generate/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianyu Gao, Howard Yen, Jiatong Yu, et al.*2023 · 485 citations*
16. **[Factual Probing Is MASK: Learning vs. Learning to Recall](https://md.research.elamur.ai/free/en/papers/zhong-2021-factual-probing-is-mask-learning/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zexuan Zhong, Dan Friedman, Danqi Chen*2021 · 415 citations*
17. **[MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension](https://md.research.elamur.ai/free/en/papers/fisch-2019-mrqa-2019-shared-task-evaluating/) [Workshop on Machine Reading for Question Answering](https://md.research.elamur.ai/free/en/venues/mrqa/)**Adam Fisch, Alon Talmor, Robin Jia, et al.*2019 · 381 citations*
18. **[SimPO: Simple Preference Optimization with a Reference-Free Reward ↗](https://arxiv.org/abs/2405.14734) arXiv:2405.14734 · no summary yet**Yu Meng, Mengzhou Xia, Danqi Chen*2024 · 340 citations*
19. **[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*
20. **[Detecting Pretraining Data from Large Language Models ↗](https://arxiv.org/abs/2310.16789) arXiv:2310.16789 · no summary yet**Weijia Shi et al.*2023 · 224 citations*
21. **[Structured Pruning Learns Compact and Accurate Models](https://md.research.elamur.ai/free/en/papers/xia-2022-structured-pruning-learns-compact-accurate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mengzhou Xia, Zexuan Zhong, Danqi Chen*2022 · 221 citations*
22. **[Should You Mask 15% in Masked Language Modeling? ↗](https://aclanthology.org/2023.eacl-main.217/) Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · no summary yet**Alexander Wettig et al.*2023 · 217 citations*
23. **[Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning ↗](https://arxiv.org/abs/2310.06694) arXiv:2310.06694 · no summary yet**Mengzhou Xia et al.*2023 · 201 citations*
24. **[MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions ↗](https://aclanthology.org/2023.emnlp-main.971/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zexuan Zhong et al.*2023 · 199 citations*
25. **[Adapting Language Models to Compress Contexts](https://md.research.elamur.ai/free/en/papers/chevalier-2023-adapting-language-models-compress-contexts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.*2023 · 182 citations*
26. [**LESS: Selecting Influential Data for Targeted Instruction Tuning arXiv:2402.04333**Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.*2024 · 178 citations*](https://md.research.elamur.ai/free/en/papers/xia-2024-less-selecting-influential-data-targeted/)
27. [**Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation arXiv:2310.06987**Yangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.*2023 · 169 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-catastrophic-jailbreak-open-source-llms/)
28. **[Simple Entity-Centric Questions Challenge Dense Retrievers](https://md.research.elamur.ai/free/en/papers/sciavolino-2021-simple-entity-centric-questions-challenge/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, et al.*2021 · 169 citations*
29. **[Evaluating Large Language Models at Evaluating Instruction Following ↗](https://arxiv.org/abs/2310.07641) arXiv:2310.07641 · no summary yet**Zhiyuan Zeng et al.*2023 · 163 citations*
30. **[Fine-Tuning Language Models with Just Forward Passes ↗](https://arxiv.org/abs/2305.17333) arXiv:2305.17333 · no summary yet**Sadhika Malladi et al.*2023 · 153 citations*
31. **[Retrieval-based Language Models and Applications](https://md.research.elamur.ai/free/en/papers/asai-2023-retrieval-based-language-models-applications/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Akari Asai, Sewon Min, Zexuan Zhong, et al.*2023 · 141 citations*
32. **[Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering ↗](https://arxiv.org/abs/1911.03868) arXiv:1911.03868 · no summary yet**Sewon Min et al.*2019 · 133 citations*
33. **[Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/chen-2020-open-domain-question-answering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Danqi Chen, Wen-tau Yih*2020 · 129 citations*
34. **[Learning Dense Representations of Phrases at Scale](https://md.research.elamur.ai/free/en/papers/lee-2021-learning-dense-representations-phrases-scale/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, et al.*2021 · 126 citations*
35. **[Training Language Models with Memory Augmentation ↗](https://aclanthology.org/2022.emnlp-main.382/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zexuan Zhong, Tao Lei, Danqi Chen*2022 · 120 citations*
36. **[CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs ↗](https://arxiv.org/abs/2406.18521) arXiv:2406.18521 · no summary yet**Zirui Wang et al.*2024 · 119 citations*
37. **[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*
38. **[What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning](https://md.research.elamur.ai/free/en/papers/pan-2023-what-context-learning-learns-context/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jane Pan, Tianyu Gao, Howard Chen, et al.*2023 · 102 citations*
39. **[How to Train Long-Context Language Models (Effectively)](https://md.research.elamur.ai/free/en/papers/gao-2025-how-train-long-context-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyu Gao, Alexander Wettig, Howard Yen, et al.*2025 · 89 citations*
40. **[Foundational Challenges in Assuring Alignment and Safety of Large Language Models ↗](https://arxiv.org/abs/2404.09932) arXiv:2404.09932 · no summary yet**Usman Anwar et al.*2024 · 87 citations*
41. **[SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal ↗](https://arxiv.org/abs/2406.14598) arXiv:2406.14598 · no summary yet**Tinghao Xie et al.*2024 · 87 citations*
42. **[Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving ↗](https://arxiv.org/abs/2502.07640) arXiv:2502.07640 · no summary yet**Yong Lin et al.*2025 · 84 citations*
43. **[QuRating: Selecting High-Quality Data for Training Language Models ↗](https://arxiv.org/abs/2402.09739) arXiv:2402.09739 · no summary yet**Alexander Wettig et al.*2024 · 74 citations*
44. **[Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors ↗](https://arxiv.org/abs/1301.3618) arXiv (Cornell University) · no summary yet**Danqi Chen et al.*2013 · 72 citations*
45. **[Beyond ten blue links ↗](https://doi.org/10.1145/2124295.2124351) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Danqi Chen et al.*2012 · 71 citations*
46. **[Poisoning Retrieval Corpora by Injecting Adversarial Passages ↗](https://aclanthology.org/2023.emnlp-main.849/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zexuan Zhong et al.*2023 · 70 citations*
47. **[Generating Natural Language Proofs with Verifier-Guided Search ↗](https://aclanthology.org/2022.emnlp-main.7/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Kaiyu Yang, Jia Deng, Danqi Chen*2022 · 70 citations*
48. **[Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction ↗](https://arxiv.org/abs/2508.03613) arXiv:2508.03613 · no summary yet**Yong Lin et al.*2025 · 67 citations*
49. **[TextHide: Tackling Data Privacy in Language Understanding Tasks ↗](https://aclanthology.org/2020.findings-emnlp.123/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Yangsibo Huang et al.*2020 · 62 citations*
50. **[Training Trajectories of Language Models Across Scales ↗](https://aclanthology.org/2023.acl-long.767/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Mengzhou Xia et al.*2023 · 60 citations*
51. **[Can Rationalization Improve Robustness? ↗](https://aclanthology.org/2022.naacl-main.278/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Howard Chen et al.*2022 · 59 citations*
52. **[HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly ↗](https://arxiv.org/abs/2410.02694) arXiv:2410.02694 · no summary yet**Howard Yen et al.*2024 · 55 citations*
53. **[Phrase Retrieval Learns Passage Retrieval, Too ↗](https://aclanthology.org/2021.emnlp-main.297/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jinhyuk Lee, Alexander Wettig, Danqi Chen*2021 · 54 citations*
54. **[Recovering Private Text in Federated Learning of Language Models ↗](https://doi.org/10.52202/068431-0590) neural information processing systems · no summary yet**Samyak Gupta et al.*2022 · 52 citations*
55. **[Bootstrapped Self Training for Knowledge Base Population. ↗](https://openalex.org/W2805756377) Theory and applications of categories · no summary yet**Gabor Angeli et al.*2015 · 47 citations*
56. [**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/)
57. **[Long-Context Language Modeling with Parallel Context Encoding](https://md.research.elamur.ai/free/en/papers/yen-2024-long-context-language-modeling-parallel/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Howard Yen, Tianyu Gao, Danqi Chen*2024 · 44 citations*
58. **[Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations ↗](https://aclanthology.org/2023.acl-long.632/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Chenglei Si et al.*2023 · 42 citations*
59. **[LitSearch: A Retrieval Benchmark for Scientific Literature Search](https://md.research.elamur.ai/free/en/papers/ajith-2024-litsearch-retrieval-benchmark-scientific-literature/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, et al.*2024 · 39 citations*
60. **[Certifiably Robust RAG against Retrieval Corruption ↗](https://doi.org/10.1109/satml68715.2026.00029) IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) · no summary yet**Chong Xiang et al.*2024 · 39 citations*
61. **[Privacy Implications of Retrieval-Based Language Models ↗](https://aclanthology.org/2023.emnlp-main.921/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yangsibo Huang et al.*2023 · 38 citations*
62. **[MABEL: Attenuating Gender Bias using Textual Entailment Data ↗](https://aclanthology.org/2022.emnlp-main.657/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jacqueline He et al.*2022 · 38 citations*
63. **[Enabling GPTs for Expert-Level Environmental Engineering Question Answering ↗](https://doi.org/10.1021/acs.estlett.4c00665) Environmental Science & Technology Letters · no summary yet**Jun‐Jie Zhu et al.*2024 · 34 citations*
64. **[Ditch the Gold Standard: Re-evaluating Conversational Question Answering ↗](https://aclanthology.org/2022.acl-long.555/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Huihan Li et al.*2022 · 32 citations*
65. **[The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning ↗](https://doi.org/10.52202/085713-4220) neural information processing systems · no summary yet**Xinyu Zhu et al.*2025 · 30 citations*
66. **[Single-dataset Experts for Multi-dataset Question Answering ↗](https://aclanthology.org/2021.emnlp-main.495/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Dan Friedman, Ben Dodge, Danqi Chen*2021 · 29 citations*
67. **[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*
68. **[Learning Transformer Programs ↗](https://arxiv.org/abs/2306.01128) arXiv:2306.01128 · no summary yet**Dan Friedman, Alexander Wettig, Danqi Chen*2023 · 28 citations*
69. **[C-STS: Conditional Semantic Textual Similarity ↗](https://aclanthology.org/2023.emnlp-main.345/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ameet Deshpande et al.*2023 · 25 citations*
70. **[Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models ↗](https://aclanthology.org/2022.emnlp-main.509/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Mozes van de Kar et al.*2022 · 24 citations*
71. **[Finding Transformer Circuits With Edge Pruning ↗](https://doi.org/10.52202/079017-0587) neural information processing systems · no summary yet**Adithya Bhaskar et al.*2024 · 23 citations*
72. **[A Kernel-Based View of Language Model Fine-Tuning ↗](https://arxiv.org/abs/2210.05643) arXiv (Cornell University) · no summary yet**Sadhika Malladi et al.*2022 · 22 citations*
73. **[Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting ↗](https://arxiv.org/abs/2510.18874) arXiv (Cornell University) · no summary yet**Howard Chen et al.*2025 · 21 citations*
74. **[Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models ↗](https://aclanthology.org/2022.emnlp-main.780/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Mengzhou Xia et al.*2022 · 21 citations*
75. **[LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation ↗](https://arxiv.org/abs/2501.05414) arXiv (Cornell University) · no summary yet**Xi Ye et al.*2025 · 18 citations*
76. **[Finding Dataset Shortcuts with Grammar Induction ↗](https://aclanthology.org/2022.emnlp-main.293/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Dan Friedman, Alexander Wettig, Danqi Chen*2022 · 18 citations*
77. **[Non-Parametric Few-Shot Learning for Word Sense Disambiguation ↗](https://aclanthology.org/2021.naacl-main.142/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Howard Chen, Mengzhou Xia, Danqi Chen*2021 · 16 citations*
78. **[Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision ↗](https://arxiv.org/abs/2604.12002) arXiv (Cornell University) · no summary yet**Yinghui He et al.*2026 · 14 citations*
79. **[Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization ↗](https://arxiv.org/abs/2410.08847) arXiv (Cornell University) · no summary yet**Noam Razin et al.*2024 · 14 citations*
80. **[Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training ↗](https://arxiv.org/abs/2405.03133) arXiv (Cornell University) · no summary yet**Zexuan Zhong et al.*2024 · 13 citations*
81. **[Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking ↗](https://aclanthology.org/2025.emnlp-main.1214/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Wuwei Zhang et al.*2025 · 11 citations*
82. **[Continual Memorization of Factoids in Language Models ↗](https://arxiv.org/abs/2411.07175) arXiv (Cornell University) · no summary yet**Howard Chen et al.*2024 · 11 citations*
83. **[Controllable Text Generation with Language Constraints ↗](https://arxiv.org/abs/2212.10466) arXiv (Cornell University) · no summary yet**Howard Chen et al.*2022 · 11 citations*
84. **[Metadata Conditioning Accelerates Language Model Pre-training ↗](https://doi.org/10.32388/d226qh) Qeios · no summary yet**Tianyu Gao et al.*2025 · 9 citations*
85. **[Fantastic Copyrighted Beasts and How (Not) to Generate Them ↗](https://arxiv.org/abs/2406.14526) arXiv (Cornell University) · no summary yet**Luxi He et al.*2024 · 9 citations*
86. **[Interpretability Illusions in the Generalization of Simplified Models ↗](https://arxiv.org/abs/2312.03656) arXiv (Cornell University) · no summary yet**Dan Friedman et al.*2023 · 9 citations*
87. **[Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. ↗](https://openalex.org/W2805259170) Theory and applications of categories · no summary yet**Yuhao Zhang et al.*2016 · 9 citations*
88. **[The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models ↗](https://aclanthology.org/2024.acl-long.774/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Adithya Bhaskar, Dan Friedman, Danqi Chen*2024 · 8 citations*
89. **[Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs? ↗](https://arxiv.org/abs/2506.17121) arXiv (Cornell University) · no summary yet**Bhaskar, Adithya et al.*2025 · 6 citations*
90. **[Language Models that Think, Chat Better ↗](https://arxiv.org/abs/2509.20357) arXiv (Cornell University) · no summary yet**Adithya Bhaskar, Ye, Xi, Danqi Chen*2025 · 6 citations*
91. **[De-anonymizing social networks ↗](https://openalex.org/W3140106263) no summary yet**Danqi Chen, Botao Hu, Shuo Xie*2012 · 6 citations*
92. **[Improving Language Understanding from Screenshots ↗](https://arxiv.org/abs/2402.14073) arXiv (Cornell University) · no summary yet**Tianyu Gao et al.*2024 · 5 citations*
93. **[Optimizing Test-Time Query Representations for Dense Retrieval ↗](https://aclanthology.org/2023.findings-acl.354/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Mujeen Sung et al.*2023 · 5 citations*
94. **[MoQA: Benchmarking Multi-Type Open-Domain Question Answering ↗](https://aclanthology.org/2023.dialdoc-1.2/) Proceedings of the Third DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering · no summary yet**Howard Yen et al.*2023 · 5 citations*
95. **[Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search ↗](https://arxiv.org/abs/2510.18939) arXiv (Cornell University) · no summary yet**Yen, Howard et al.*2025 · 4 citations*
96. **[Precise Information Control in Long-Form Text Generation ↗](https://doi.org/10.52202/085713-3103) neural information processing systems · no summary yet**Jacqueline He et al.*2025 · 3 citations*
97. **[Statutory Construction and Interpretation for Artificial Intelligence ↗](https://arxiv.org/abs/2509.01186) arXiv:2509.01186 · no summary yet**Luxi He et al.*2025 · 3 citations*
98. **[AI Risk Management Should Incorporate Both Safety and Security ↗](https://arxiv.org/abs/2405.19524) arXiv (Cornell University) · no summary yet**Xiangyu Qi et al.*2024 · 3 citations*
99. **[TAC Relation Extraction Dataset ↗](https://doi.org/10.35111/m0kp-4w25) Americanae (AECID Library) · no summary yet**Zhong, Victor et al.*2018 · 3 citations*
100. **[Goedel-Architect: Streamlining Formal Theorem Proving with Blueprint Generation and Refinement ↗](https://arxiv.org/abs/2606.06468) arXiv:2606.06468 · no summary yet**Jui-Hui Chung et al.*2026 · 2 citations*

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