Arman Cohan

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 159

Top Venues

CoRR

ACL (1)

EMNLP (Findings)

NAACL-HLT

Publications

Martin Riddell, Ansong Ni, Arman Cohan
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models. CoRR (2024)
Xiangru Tang, Anni Zou, Zhuosheng Zhang, Ziming Li, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. ACL (Findings) (2024)
Martin Riddell, Ansong Ni, Arman Cohan
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models. ACL (1) (2024)
Yixin Liu, Pengfei Liu, Arman Cohan
Understanding Reference Policies in Direct Preference Optimization. CoRR (2024)
Yilun Zhao, Hongjun Liu, Yitao Long, Rui Zhang, Chen Zhao, Arman Cohan
KnowledgeFMath: A Knowledge-Intensive Math Reasoning Dataset in Finance Domains. ACL (1) (2024)
Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. CoRR (2024)
Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein
Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. CoRR (2024)
Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi
OLMo: Accelerating the Science of Language Models. CoRR (2024)
Chunyuan Deng, Xiangru Tang, Yilun Zhao, Hanming Wang, Haoran Wang, Wangchunshu Zhou, Arman Cohan, Mark Gerstein
MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise. CoRR (2024)
Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan
Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation. CoRR (2024)
Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. EACL (Findings) (2024)
Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan
On Learning to Summarize with Large Language Models as References. NAACL-HLT (2024)
David Wadden, Kejian Shi, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. CoRR (2024)
Xiangru Tang, Xingyao Zhang, Yanjun Shao, Jie Wu, Yilun Zhao, Arman Cohan, Ming Gong, Dongmei Zhang, Mark Gerstein
Step-Back Profiling: Distilling User History for Personalized Scientific Writing. CoRR (2024)
Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan
Investigating Data Contamination in Modern Benchmarks for Large Language Models. NAACL-HLT (2024)
Yilun Zhao, Lyuhao Chen, Arman Cohan, Chen Zhao
TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning. ACL (1) (2024)
Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin
NExT: Teaching Large Language Models to Reason about Code Execution. CoRR (2024)
Lorenzo Jaime Yu Flores, Arman Cohan
On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization. CoRR (2024)
Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan
Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation. ACL (Findings) (2024)
Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan
TESS: Text-to-Text Self-Conditioned Simplex Diffusion. EACL (1) (2024)
Lorenzo Jaime Flores, Arman Cohan
On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization. EACL (2) (2024)
Yukun Huang, Yixin Liu, Raghuveer Thirukovalluru, Arman Cohan, Bhuwan Dhingra
Calibrating Long-form Generations from Large Language Models. CoRR (2024)
Rilyn Han, Jiawen Chen, Yixin Liu, Arman Cohan
Rethinking Efficient Multilingual Text Summarization Meta-Evaluation. ACL (Findings) (2024)
Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, Jihyun Janice Ahn, Yilun Zhao, Xiaoxin Lu, Nan Zhang, Yusen Zhang, Ranran Haoran Zhang, Sujeeth Reddy Vummanthala, Salika Dave, Shaobo Qin, Arman Cohan, Wenpeng Yin, Rui Zhang
Evaluating LLMs at Detecting Errors in LLM Responses. CoRR (2024)
John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval. EMNLP (Findings) (2023)
Lorenzo Jaime Yu Flores, Heyuan Huang, Kejian Shi, Sophie Chheang, Arman Cohan
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding. EMNLP (Findings) (2023)
Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld
The Semantic Scholar Open Data Platform. CoRR (2023)
Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan
On Learning to Summarize with Large Language Models as References. CoRR (2023)
Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. CoRR (2023)
Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Xiangru Tang, Yumo Xu, Arman Cohan, Dragomir Radev
QTSumm: A New Benchmark for Query-Focused Table Summarization. CoRR (2023)
Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan
QTSumm: Query-Focused Summarization over Tabular Data. EMNLP (2023)
Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents. EMNLP (2023)
Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. ACL (1) (2023)
Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan
Investigating Data Contamination in Modern Benchmarks for Large Language Models. CoRR (2023)
Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. CoRR (2023)
Yilun Zhao, Haowei Zhang, Shengyun Si, Linyong Nan, Xiangru Tang, Arman Cohan
Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers. CoRR (2023)
Yilun Zhao, Boyu Mi, Zhenting Qi, Linyong Nan, Minghao Guo, Arman Cohan, Dragomir Radev
OpenRT: An Open-source Framework for Reasoning Over Tabular Data. ACL (demo) (2023)
Yijie Zhou, Kejian Shi, Wencai Zhang, Yixin Liu, Yilun Zhao, Arman Cohan
ODSum: New Benchmarks for Open Domain Multi-Document Summarization. CoRR (2023)
Jacob Dunefsky, Arman Cohan
Observable Propagation: A Data-Efficient Approach to Uncover Feature Vectors in Transformers. CoRR (2023)
Lorenzo Jaime Yu Flores, Heyuan Huang, Kejian Shi, Sophie Chheang, Arman Cohan
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding. CoRR (2023)
Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo
A Controllable QA-based Framework for Decontextualization. CoRR (2023)
Xiangru Tang, Anni Zou, Zhuosheng Zhang, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. CoRR (2023)
Rabeeh Karimi Mahabadi, Jaesung Tae, Hamish Ivison, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan
TESS: Text-to-Text Self-Conditioned Simplex Diffusion. CoRR (2023)
Revanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi
Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval. CoRR (2023)
Linyong Nan, Ellen Zhang, Weijin Zou, Yilun Zhao, Wenfei Zhou, Arman Cohan
On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering. CoRR (2023)
Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? CoRR (2023)
Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. CoRR (2023)
Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders. CoRR (2023)
Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey
Embedding Recycling for Language Models. EACL (Findings) (2023)
Yilun Zhao, Yitao Long, Hongjun Liu, Linyong Nan, Lyuhao Chen, Ryo Kamoi, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan
DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data. CoRR (2023)
Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev
Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. EMNLP (Findings) (2023)
Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. CoRR (2023)
Xiangru Tang, Arman Cohan, Mark Gerstein
Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning. ClinicalNLP@ACL (2023)
Yilun Zhao, Haowei Zhang, Shengyun Si, Linyong Nan, Xiangru Tang, Arman Cohan
Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios. EMNLP (Industry Track) (2023)
Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR (2023)
Yilun Zhao, Hongjun Liu, Yitao Long, Rui Zhang, Chen Zhao, Arman Cohan
KnowledgeMath: Knowledge-Intensive Math Word Problem Solving in Finance Domains. CoRR (2023)
Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. CoRR (2023)
Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. CoRR (2023)
Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. EACL (2023)
Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. EMNLP (2023)
Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan
ABNIRML: Analyzing the Behavior of Neural IR Models. Trans. Assoc. Comput. Linguistics 10 (2022)
David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi
SciFact-Open: Towards open-domain scientific claim verification. CoRR (2022)
Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang
Overview of the Third Workshop on Scholarly Document Processing. SDP@COLING (2022)
David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi
MultiVerS: Improving scientific claim verification with weak supervision and full-document context. NAACL-HLT (Findings) (2022)
Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. ACL (1) (2022)
Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey
Embedding Recycling for Language Models. CoRR (2022)
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. ACL (1) (2022)
Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. CoRR (2022)
David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi
SciFact-Open: Towards open-domain scientific claim verification. EMNLP (Findings) (2022)
Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer
Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP). SDP@COLING (2022)
John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan
Exploring the Challenges of Open Domain Multi-Document Summarization. CoRR (2022)
Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh Chauhan
Zero- and Few-Shot NLP with Pretrained Language Models. ACL (tutorial) (2022)
Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan
Long Context Question Answering via Supervised Contrastive Learning. NAACL-HLT (2022)
Sheshera Mysore, Arman Cohan, Tom Hope
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. NAACL-HLT (2022)
Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, Arman Cohan, David Jurgens, Kyle Lo
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. NAACL-HLT (2022)
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. CoRR (2022)
Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires. ACL (1) (2022)
Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires. CoRR (2022)
Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, David Jurgens, Arman Cohan, Kyle Lo
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. CoRR (2021)
Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy
FLEX: Unifying Evaluation for Few-Shot NLP. NeurIPS (2021)
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. NAACL-HLT (2021)
Sheshera Mysore, Arman Cohan, Tom Hope
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. CoRR (2021)
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
Simplified Data Wrangling with ir_datasets. SIGIR (2021)
Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan
PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. CoRR (2021)
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
Simplified Data Wrangling with ir_datasets. CoRR (2021)
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh
ParsiNLU: A Suite of Language Understanding Challenges for Persian. Trans. Assoc. Comput. Linguistics 9 (2021)
Sajad Sotudeh, Arman Cohan, Nazli Goharian
On Generating Extended Summaries of Long Documents. SDU@AAAI (2021)
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. CoRR (2021)
Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy
FLEX: Unifying Evaluation for Few-Shot NLP. CoRR (2021)
Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan
Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering. CoRR (2021)
Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan
CDLM: Cross-Document Language Modeling. EMNLP (Findings) (2021)
David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi
LongChecker: Improving scientific claim verification by modeling full-abstract context. CoRR (2021)
Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan
Cross-Document Language Modeling. CoRR (2021)
Sean MacAvaney, Arman Cohan, Nazli Goharian
SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search. CoRR (2020)
Sajad Sotudeh, Arman Cohan, Nazli Goharian
On Generating Extended Summaries of Long Documents. CoRR (2020)
Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice
Ranking Significant Discrepancies in Clinical Reports. ECIR (2) (2020)
Iz Beltagy, Matthew E. Peters, Arman Cohan
Longformer: The Long-Document Transformer. CoRR (2020)
David Wadden, Kyle Lo, Lucy Lu Wang, Shanchuan Lin, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi
Fact or Fiction: Verifying Scientific Claims. CoRR (2020)
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh
ParsiNLU: A Suite of Language Understanding Challenges for Persian. CoRR (2020)
Sean MacAvaney, Arman Cohan, Nazli Goharian
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search. CoRR (2020)

Arman Cohan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Arman Cohan