---
title: "Arman Cohan — all works — Elamur Research"
description: "All 52 works of Arman Cohan 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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# Arman Cohan — all works

52 works · [← Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/)

1. [**Longformer: The Long-Document Transformer arXiv:2004.05150**Iz Beltagy, Matthew E. Peters, Arman Cohan*2020 · 3,880 citations*](https://md.research.elamur.ai/free/en/papers/beltagy-2020-longformer-long-document-transformer/)
2. **[SciBERT: A Pretrained Language Model for Scientific Text](https://md.research.elamur.ai/free/en/papers/beltagy-2019-scibert-pretrained-language-model-scientific/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Iz Beltagy, Kyle Lo, Arman Cohan*2019 · 3,582 citations*
3. **[A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://md.research.elamur.ai/free/en/papers/cohan-2018-discourse-aware-attention-model-abstractive/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Arman Cohan, Franck Dernoncourt, Doo Soon Kim, et al.*2018 · 1,026 citations*
4. **[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*
5. **[SPECTER: Document-level Representation Learning using Citation-informed Transformers](https://md.research.elamur.ai/free/en/papers/cohan-2020-specter-document-level-representation-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arman Cohan, Sergey Feldman, Iz Beltagy, et al.*2020 · 697 citations*
6. **[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*
7. **[Depression and Self-Harm Risk Assessment in Online Forums](https://md.research.elamur.ai/free/en/papers/yates-2017-depression-self-harm-risk-assessment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Andrew Yates, Arman Cohan, Nazli Goharian*2017 · 404 citations*
8. **[A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers](https://md.research.elamur.ai/free/en/papers/dasigi-2021-dataset-information-seeking-questions-answers/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al.*2021 · 384 citations*
9. **[Structural Scaffolds for Citation Intent Classification in Scientific Publications](https://md.research.elamur.ai/free/en/papers/cohan-2019-structural-scaffolds-citation-intent-classification/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Arman Cohan, Waleed Ammar, Madeleine van Zuylen, et al.*2019 · 289 citations*
10. **[TLDR: Extreme Summarization of Scientific Documents](https://md.research.elamur.ai/free/en/papers/cachola-2020-tldr-extreme-summarization-scientific-documents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Isabel Cachola, Kyle Lo, Arman Cohan, et al.*2020 · 262 citations*
11. **[MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning](https://md.research.elamur.ai/free/en/papers/tang-2024-medagents-large-language-models-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiangru Tang, Anni Zou, Zhuosheng Zhang, et al.*2024 · 246 citations*
12. **[PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization](https://md.research.elamur.ai/free/en/papers/xiao-2022-primera-pyramid-based-masked-sentence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen Xiao, Iz Beltagy, Giuseppe Carenini, et al.*2022 · 205 citations*
13. **[Pretrained Language Models for Sequential Sentence Classification ↗](https://aclanthology.org/D19-1383/) 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**Arman Cohan et al.*2019 · 172 citations*
14. **[Investigating Data Contamination in Modern Benchmarks for Large Language Models](https://md.research.elamur.ai/free/en/papers/deng-2024-investigating-data-contamination-modern-benchmarks/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chunyuan Deng, Yilun Zhao, Xiangru Tang, et al.*2024 · 137 citations*
15. **[SciRepEval: A Multi-Format Benchmark for Scientific Document Representations ↗](https://aclanthology.org/2023.emnlp-main.338/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Amanpreet Singh et al.*2023 · 128 citations*
16. **[The Semantic Scholar Open Data Platform ↗](https://arxiv.org/abs/2301.10140) arXiv (Cornell University) · no summary yet**Rodney Kinney et al.*2023 · 126 citations*
17. **[LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization](https://md.research.elamur.ai/free/en/papers/krishna-2023-longeval-guidelines-human-evaluation-faithfulness/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.*2023 · 114 citations*
18. **[Scientific Article Summarization Using Citation-Context and Article's Discourse Structure ↗](https://aclanthology.org/D15-1045/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Arman Cohan, Nazli Goharian*2015 · 112 citations*
19. **[CDLM: Cross-Document Language Modeling](https://md.research.elamur.ai/free/en/papers/caciularu-2021-cdlm-cross-document-language-modeling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Avi Caciularu, Arman Cohan, Iz Beltagy, et al.*2021 · 106 citations*
20. **[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*
21. **[On Learning to Summarize with Large Language Models as References](https://md.research.elamur.ai/free/en/papers/liu-2024-learning-summarize-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/)**Yixin Liu, Kejian Shi, Katherine He, et al.*2024 · 94 citations*
22. **[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*
23. **[SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions](https://md.research.elamur.ai/free/en/papers/cohan-2018-smhd-large-scale-resource-exploring/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Arman Cohan, Bart Desmet, Andrew Yates, et al.*2018 · 89 citations*
24. **[Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires ↗](https://aclanthology.org/2022.acl-long.578/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Thong Nguyen et al.*2022 · 74 citations*
25. **[ParsiNLU: A Suite of Language Understanding Challenges for Persian](https://md.research.elamur.ai/free/en/papers/khashabi-2021-parsinlu-suite-language-understanding-challenges/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Daniel Khashabi, Arman Cohan, Siamak Shakeri, et al.*2021 · 65 citations*
26. **[Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization ↗](https://arxiv.org/abs/2311.09184) arXiv:2311.09184 · no summary yet**Yixin Liu et al.*2023 · 59 citations*
27. **[FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions](https://md.research.elamur.ai/free/en/papers/weller-2025-followir-evaluating-teaching-information-retrieval/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Orion Weller, Benjamin Chang, Sean MacAvaney, et al.*2025 · 40 citations*
28. **[NExT: Teaching Large Language Models to Reason about Code Execution ↗](https://arxiv.org/abs/2404.14662) arXiv:2404.14662 · no summary yet**Ansong Ni et al.*2024 · 30 citations*
29. **[LocAgent: Graph-Guided LLM Agents for Code Localization](https://md.research.elamur.ai/free/en/papers/chen-2025-locagent-graph-guided-llm-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaoling Chen, Robert Tang, Gangda Deng, et al.*2025 · 27 citations*
30. **[A Survey on Evaluation of LLM-based Agents](https://md.research.elamur.ai/free/en/papers/yehudai-2026-survey-evaluation-llm-based-agents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Asaf Yehudai, Lilach Eden, Alan Li, et al.*2026 · 21 citations*
31. **[Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding ↗](https://aclanthology.org/2023.findings-emnlp.322/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Lorenzo Jaime Flores et al.*2023 · 18 citations*
32. [**ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning arXiv:2501.06590**Xiangru Tang, Tianyu Hu, Muyang Ye, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/tang-2025-chemagent-self-updating-library-large/)
33. **[Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers](https://md.research.elamur.ai/free/en/papers/xu-2025-can-llms-identify-critical-limitations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhijian Xu, Yilun Zhao, Manasi Patwardhan, et al.*2025 · 11 citations*
34. **[MDCure: A Scalable Pipeline for Multi-Document Instruction-Following](https://md.research.elamur.ai/free/en/papers/liu-2025-mdcure-scalable-pipeline-multi-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, et al.*2025 · 11 citations*
35. **[SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification](https://md.research.elamur.ai/free/en/papers/wang-2025-sciver-evaluating-foundation-models-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chengye Wang, Yifei Shen, Zexi Kuang, et al.*2025 · 11 citations*
36. **[IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery ↗](https://arxiv.org/abs/2504.16728) arXiv:2504.16728 · no summary yet**Aniketh Garikaparthi et al.*2025 · 11 citations*
37. **[Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective](https://md.research.elamur.ai/free/en/papers/zhang-2025-diffusion-vs-autoregressive-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Siyue Zhang, Yilun Zhao, Liyuan Geng, et al.*2025 · 10 citations*
38. **[AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research](https://md.research.elamur.ai/free/en/papers/zhao-2025-abgen-evaluating-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilun Zhao, Weiyuan Chen, Zhijian Xu, et al.*2025 · 9 citations*
39. **[TESS 2: A Large-Scale Generalist Diffusion Language Model](https://md.research.elamur.ai/free/en/papers/tae-2025-tess-2-large-scale-generalist/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jaesung Tae, Hamish Ivison, Sachin Kumar, et al.*2025 · 9 citations*
40. **[SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature](https://md.research.elamur.ai/free/en/papers/ding-2026-scirag-adaptive-citation-aware-outline/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hang Ding, Yilun Zhao, Tiansheng Hu, et al.*2026 · 7 citations*
41. **[MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2025-metafaith-faithful-natural-language-uncertainty/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.*2025 · 6 citations*
42. **[From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations](https://md.research.elamur.ai/free/en/papers/wang-2025-scores-steps-diagnosing-improving-llm/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Benlu Wang, Iris Xia, Yifan Zhang, et al.*2025 · 5 citations*
43. **[Patient-Similarity Cohort Reasoning in Clinical Text-to-SQL](https://md.research.elamur.ai/free/en/papers/shen-2026-patient-similarity-cohort-reasoning-clinical/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yifei Shen, Yilun Zhao, Justice Ou, et al.*2026 · 4 citations*
44. **[AlphaResearch: Accelerating New Algorithm Discovery with Language Models ↗](https://arxiv.org/abs/2511.08522) arXiv:2511.08522 · no summary yet**Zhaojian Yu et al.*2025 · 3 citations*
45. **[RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation](https://md.research.elamur.ai/free/en/papers/wu-2026-rbtact-rebuttal-as-supervision-actionable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sihong Wu, Yiling Ma, Yilun Zhao, et al.*2026 · 2 citations*
46. **[Anchor: Branch-Point Data Generation for GUI Agents](https://md.research.elamur.ai/free/en/papers/wei-2026-anchor-branch-point-data-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinbiao Wei, Yilun Zhao, Kangqi Ni, et al.*2026 · 1 citation*
47. **[Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future](https://md.research.elamur.ai/free/en/papers/wu-2026-can-ai-be-good-peer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sihong Wu, Owen Jiang, Yilun Zhao, et al.*2026 · 1 citation*
48. **[CPTCoder: A Reliable LLM System for Medical Procedure Code Prediction](https://md.research.elamur.ai/free/en/papers/wang-2026-cptcoder-reliable-llm-system-medical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Benlu Wang, Ziyao Shangguan, Kyle Tegtmeyer, et al.*2026 · 1 citation*
49. **[A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2026-survey-multimodal-mathematical-reasoning-perception/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyu Yang, Sihong Wu, Yilun Zhao, et al.*2026*
50. **[MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research Coding](https://md.research.elamur.ai/free/en/papers/xia-2026-mmscicode-real-world-evaluation-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xue Xia, Zheyuan Yang, Arman Cohan, et al.*2026*
51. **[Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems](https://md.research.elamur.ai/free/en/papers/zhao-2026-rethinking-reasoning-intensive-retrieval-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilun Zhao, Jinbiao Wei, Tingyu Song, et al.*2026*
52. **[Balancing Memory Pathways: Analyzing and Improving Memory Utilization in Hybrid LMs ↗](https://arxiv.org/abs/2610.06750) arXiv (Cornell University) · no summary yet**Hyunji Lee et al.*2026*