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Arman Cohan
Number of Papers:- 79
Number of Citations:- 29
First ACL Paper:- 2015
Latest ACL Paper:- 2024
Venues:-
NAACL
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CLPsych
COLING
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EMNLP
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sdp
Findings
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LREC
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TACL
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WS
ACL
EACL
*SEMEVAL
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Co-Authors:-
Aakanksha Naik
Aaron Yu
Abhilasha Ravichander
Ahmadreza Mosallanezhad
Akshita Bhagia
Similar Authors:-
Kohei Ohara
Kohei Kurihara
Raimundo Moura
Rogerio Figueredo Sousa
Stefania Racioppa
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
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Orion Weller |
Kyle Lo |
David Wadden |
Dawn Lawrie |
Benjamin Van Durme |
Arman Cohan |
Luca Soldaini |
On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering
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Linyong Nan |
Ellen Zhang |
Weijin Zou |
Yilun Zhao |
Wenfei Zhou |
Arman Cohan |
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
EACL
Rabeeh Karimi Mahabadi |
Hamish Ivison |
Jaesung Tae |
James Henderson |
Iz Beltagy |
Matthew Peters |
Arman Cohan |
On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization
EACL
Lorenzo Jaime Flores |
Arman Cohan |
Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data?
NAACL
Xiangru Tang |
Yiming Zong |
Jason Phang |
Yilun Zhao |
Wangchunshu Zhou |
Arman Cohan |
Mark Gerstein |
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
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Yixin Liu |
Alexander Fabbri |
Jiawen Chen |
Yilun Zhao |
Simeng Han |
Shafiq Joty |
Pengfei Liu |
Dragomir Radev |
Chien-Sheng Wu |
Arman Cohan |
On Learning to Summarize with Large Language Models as References
NAACL
Yixin Liu |
Kejian Shi |
Katherine He |
Longtian Ye |
Alexander Fabbri |
Pengfei Liu |
Dragomir Radev |
Arman Cohan |
Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation
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Chunyuan Deng |
Yilun Zhao |
Yuzhao Heng |
Yitong Li |
Jiannan Cao |
Xiangru Tang |
Arman Cohan |
KnowledgeFMath: A Knowledge-Intensive Math Reasoning Dataset in Finance Domains
ACL
Yilun Zhao |
Hongjun Liu |
Yitao Long |
Rui Zhang |
Chen Zhao |
Arman Cohan |
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models
ACL
Martin Riddell |
Ansong Ni |
Arman Cohan |
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
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Xiangru Tang |
Anni Zou |
Zhuosheng Zhang |
Ziming Li |
Yilun Zhao |
Xingyao Zhang |
Arman Cohan |
Mark Gerstein |
Investigating Data Contamination in Modern Benchmarks for Large Language Models
NAACL
Chunyuan Deng |
Yilun Zhao |
Xiangru Tang |
Mark Gerstein |
Arman Cohan |
TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning
ACL
Yilun Zhao |
Lyuhao Chen |
Arman Cohan |
Chen Zhao |
Rethinking Efficient Multilingual Text Summarization Meta-Evaluation
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Rilyn Han |
Jiawen Chen |
Yixin Liu |
Arman Cohan |
OLMo: Accelerating the Science of Language Models
ACL
Dirk Groeneveld |
Iz Beltagy |
Evan Walsh |
Akshita Bhagia |
Rodney Kinney |
Oyvind Tafjord |
Ananya Jha |
Hamish Ivison |
Ian Magnusson |
Yizhong Wang |
Shane Arora |
David Atkinson |
Russell Authur |
Khyathi Chandu |
Arman Cohan |
Jennifer Dumas |
Yanai Elazar |
Yuling Gu |
Jack Hessel |
Tushar Khot |
William Merrill |
Jacob Morrison |
Niklas Muennighoff |
Aakanksha Naik |
Crystal Nam |
Matthew Peters |
Valentina Pyatkin |
Abhilasha Ravichander |
Dustin Schwenk |
Saurabh Shah |
William Smith |
Emma Strubell |
Nishant Subramani |
Mitchell Wortsman |
Pradeep Dasigi |
Nathan Lambert |
Kyle Richardson |
Luke Zettlemoyer |
Jesse Dodge |
Kyle Lo |
Luca Soldaini |
Noah Smith |
Hannaneh Hajishirzi |
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents
ACL
Yilun Zhao |
Yitao Long |
Hongjun Liu |
Ryo Kamoi |
Linyong Nan |
Lyuhao Chen |
Yixin Liu |
Xiangru Tang |
Rui Zhang |
Arman Cohan |
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models
TACL
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 |
Arman Cohan |
Calibrating Long-form Generations From Large Language Models
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Yukun Huang |
Yixin Liu |
Raghuveer Thirukovalluru |
Arman Cohan |
Bhuwan Dhingra |
FOLIO: Natural Language Reasoning with First-Order Logic
EMNLP
Simeng Han |
Hailey Schoelkopf |
Yilun Zhao |
Zhenting Qi |
Martin Riddell |
Wenfei Zhou |
James Coady |
David Peng |
Yujie Qiao |
Luke Benson |
Lucy Sun |
Alexander Wardle-Solano |
Hannah Szabó |
Ekaterina Zubova |
Matthew Burtell |
Jonathan Fan |
Yixin Liu |
Brian Wong |
Malcolm Sailor |
Ansong Ni |
Linyong Nan |
Jungo Kasai |
Tao Yu |
Rui Zhang |
Alexander Fabbri |
Wojciech Maciej Kryscinski |
Semih Yavuz |
Ye Liu |
Xi Victoria Lin |
Shafiq Joty |
Yingbo Zhou |
Caiming Xiong |
Rex Ying |
Arman Cohan |
Dragomir Radev |
Bayesian Calibration of Win Rate Estimation with LLM Evaluators
EMNLP
Yicheng Gao |
Gonghan Xu |
Zhe Wang |
Arman Cohan |
OpenT2T: An Open-Source Toolkit for Table-to-Text Generation
EMNLP
Haowei Zhang |
Shengyun Si |
Yilun Zhao |
Lujing Xie |
Zhijian Xu |
Lyuhao Chen |
Linyong Nan |
Pengcheng Wang |
Xiangru Tang |
Arman Cohan |
MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications
EMNLP
Xiangru Tang |
Chunyuan Deng |
Hanminwang Hanminwang |
Haoran Wang |
Yilun Zhao |
Wenqi Shi |
Yi Fung |
Wangchunshu Zhou |
Jiannan Cao |
Heng Ji |
Arman Cohan |
Mark Gerstein |
TAIL: A Toolkit for Automatic and Realistic Long-Context Large Language Model Evaluation
EMNLP
Gefei Gu |
Yilun Zhao |
Ruoxi Ning |
Yanan Zheng |
Arman Cohan |
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents
EMNLP
Yilun Zhao |
Yitao Long |
Tintin Jiang |
Chengye Wang |
Weiyuan Chen |
Hongjun Liu |
Xiangru Tang |
Yiming Zhang |
Chen Zhao |
Arman Cohan |
OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems
EMNLP
Linyong Nan |
Weining Fang |
Aylin Rasteh |
Pouya Lahabi |
Weijin Zou |
Yilun Zhao |
Arman Cohan |
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
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Chuhan Li |
Ziyao Shangguan |
Yilun Zhao |
Deyuan Li |
Yixin Liu |
Arman Cohan |
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
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Simeng Han |
Aaron Yu |
Rui Shen |
Zhenting Qi |
Martin Riddell |
Wenfei Zhou |
Yujie Qiao |
Yilun Zhao |
Semih Yavuz |
Ye Liu |
Shafiq Joty |
Yingbo Zhou |
Caiming Xiong |
Dragomir Radev |
Rex Ying |
Arman Cohan |
SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers
EMNLP
Shruti Singh |
Nandan Sarkar |
Arman Cohan |
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization
EACL
Kalpesh Krishna |
Erin Bransom |
Bailey Kuehl |
Mohit Iyyer |
Pradeep Dasigi |
Arman Cohan |
Kyle Lo |
Embedding Recycling for Language Models
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Jon Saad-falcon |
Amanpreet Singh |
Luca Soldaini |
Mike D’arcy |
Arman Cohan |
Doug Downey |
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations
EMNLP
Amanpreet Singh |
Mike D’Arcy |
Arman Cohan |
Doug Downey |
Sergey Feldman |
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents
EMNLP
Benjamin Newman |
Luca Soldaini |
Raymond Fok |
Arman Cohan |
Kyle Lo |
OpenRT: An Open-source Framework for Reasoning Over Tabular Data
ACL
Yilun Zhao |
Boyu Mi |
Zhenting Qi |
Linyong Nan |
Minghao Guo |
Arman Cohan |
Dragomir Radev |
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
ACL
Avi Caciularu |
Matthew Peters |
Jacob Goldberger |
Ido Dagan |
Arman Cohan |
Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios
EMNLP
Yilun Zhao |
Haowei Zhang |
Shengyun Si |
Linyong Nan |
Xiangru Tang |
Arman Cohan |
Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
F
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Linyong Nan |
Yilun Zhao |
Weijin Zou |
Narutatsu Ri |
Jaesung Tae |
Ellen Zhang |
Arman Cohan |
Dragomir Radev |
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval
F
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John Giorgi |
Luca Soldaini |
Bo Wang |
Gary Bader |
Kyle Lo |
Lucy Wang |
Arman Cohan |
QTSumm: Query-Focused Summarization over Tabular Data
EMNLP
Yilun Zhao |
Zhenting Qi |
Linyong Nan |
Boyu Mi |
Yixin Liu |
Weijin Zou |
Simeng Han |
Ruizhe Chen |
Xiangru Tang |
Yumo Xu |
Dragomir Radev |
Arman Cohan |
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding
F
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Lorenzo Jaime Flores |
Heyuan Huang |
Kejian Shi |
Sophie Chheang |
Arman Cohan |
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
ACL
Wen Xiao |
Iz Beltagy |
Giuseppe Carenini |
Arman Cohan |
Zero- and Few-Shot NLP with Pretrained Language Models
ACL
Iz Beltagy |
Arman Cohan |
Robert Logan IV |
Sewon Min |
Sameer Singh |
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
ACL
Dustin Wright |
David Wadden |
Kyle Lo |
Bailey Kuehl |
Arman Cohan |
Isabelle Augenstein |
Lucy Wang |
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
ACL
Thong Nguyen |
Andrew Yates |
Ayah Zirikly |
Bart Desmet |
Arman Cohan |
ABNIRML: Analyzing the Behavior of Neural IR Models
TACL
Sean MacAvaney |
Sergey Feldman |
Nazli Goharian |
Doug Downey |
Arman Cohan |
MultiVerS: Improving scientific claim verification with weak supervision and full-document context
Findings
NAACL
David Wadden |
Kyle Lo |
Lucy Wang |
Arman Cohan |
Iz Beltagy |
Hannaneh Hajishirzi |
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity
NAACL
Sheshera Mysore |
Arman Cohan |
Tom Hope |
Long Context Question Answering via Supervised Contrastive Learning
NAACL
Avi Caciularu |
Ido Dagan |
Jacob Goldberger |
Arman Cohan |
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting
NAACL
Anne Lauscher |
Brandon Ko |
Bailey Kuehl |
Sophie Johnson |
Arman Cohan |
David Jurgens |
Kyle Lo |
Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP)
COLING
WS
sdp
Arman Cohan |
Guy Feigenblat |
Tirthankar Ghosal |
Michal Shmueli-Scheuer |
Overview of the Third Workshop on Scholarly Document Processing
COLING
WS
sdp
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 |
Proceedings of the Third Workshop on Scholarly Document Processing
COLING
WS
sdp
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 |
SciFact-Open: Towards open-domain scientific claim verification
F
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David Wadden |
Kyle Lo |
Bailey Kuehl |
Arman Cohan |
Iz Beltagy |
Lucy Lu Wang |
Hannaneh Hajishirzi |
Proceedings of the Second Workshop on Scholarly Document Processing
NAACL
sdp
Iz Beltagy |
Arman Cohan |
Guy Feigenblat |
Dayne Freitag |
Tirthankar Ghosal |
Keith Hall |
Drahomira Herrmannova |
Petr Knoth |
Kyle Lo |
Philipp Mayr |
Robert M. Patton |
Michal Shmueli-Scheuer |
Anita de Waard |
Kuansan Wang |
Lucy Lu Wang |
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
NAACL
Pradeep Dasigi |
Kyle Lo |
Iz Beltagy |
Arman Cohan |
Noah A. Smith |
Matt Gardner |
Beyond Paragraphs: NLP for Long Sequences
NAACL
Iz Beltagy |
Arman Cohan |
Hannaneh Hajishirzi |
Sewon Min |
Matthew Peters |
CDLM: Cross-Document Language Modeling
EMNLP
Findings
Avi Caciularu |
Arman Cohan |
Iz Beltagy |
Matthew Peters |
Arie Cattan |
Ido Dagan |
Overview of the Second Workshop on Scholarly Document Processing
NAACL
sdp
Iz Beltagy |
Arman Cohan |
Guy Feigenblat |
Dayne Freitag |
Tirthankar Ghosal |
Keith Hall |
Drahomira Herrmannova |
Petr Knoth |
Kyle Lo |
Philipp Mayr |
Robert Patton |
Michal Shmueli-Scheuer |
Anita de Waard |
Kuansan Wang |
Lucy Wang |
ParsiNLU: A Suite of Language Understanding Challenges for Persian
TACL
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 Mahabagdi |
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 |
SPECTER: Document-level Representation Learning using Citation-informed Transformers
ACL
Arman Cohan |
Sergey Feldman |
Iz Beltagy |
Doug Downey |
Daniel Weld |
SUPP.AI: finding evidence for supplement-drug interactions
ACL
Lucy Wang |
Oyvind Tafjord |
Arman Cohan |
Sarthak Jain |
Sam Skjonsberg |
Carissa Schoenick |
Nick Botner |
Waleed Ammar |
GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents
EMNLP
sdp
Sajad Sotudeh Gharebagh |
Arman Cohan |
Nazli Goharian |
TLDR: Extreme Summarization of Scientific Documents
EMNLP
Findings
Isabel Cachola |
Kyle Lo |
Arman Cohan |
Daniel Weld |
Fact or Fiction: Verifying Scientific Claims
EMNLP
David Wadden |
Shanchuan Lin |
Kyle Lo |
Lucy Lu Wang |
Madeleine van Zuylen |
Arman Cohan |
Hannaneh Hajishirzi |
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search
EMNLP
Sean MacAvaney |
Arman Cohan |
Nazli Goharian |
SciBERT: A Pretrained Language Model for Scientific Text
EMNLP
Iz Beltagy |
Kyle Lo |
Arman Cohan |
Pretrained Language Models for Sequential Sentence Classification
EMNLP
Arman Cohan |
Iz Beltagy |
Daniel King |
Bhavana Dalvi |
Dan Weld |
Structural Scaffolds for Citation Intent Classification in Scientific Publications
NAACL
Arman Cohan |
Waleed Ammar |
Madeleine van Zuylen |
Field Cady |
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
COLING
Arman Cohan |
Bart Desmet |
Andrew Yates |
Luca Soldaini |
Sean MacAvaney |
Nazli Goharian |
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
NAACL
Arman Cohan |
Franck Dernoncourt |
Doo Soon Kim |
Trung Bui |
Seokhwan Kim |
Walter Chang |
Nazli Goharian |
GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification
*SEMEVAL
Sean MacAvaney |
Luca Soldaini |
Arman Cohan |
Nazli Goharian |
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses
CLPsych
NAACL
WS
Sean MacAvaney |
Bart Desmet |
Arman Cohan |
Luca Soldaini |
Andrew Yates |
Ayah Zirikly |
Nazli Goharian |
Helping or Hurting? Predicting Changes in Users’ Risk of Self-Harm Through Online Community Interactions
CLPsych
NAACL
WS
Luca Soldaini |
Timothy Walsh |
Arman Cohan |
Julien Han |
Nazli Goharian |
Depression and Self-Harm Risk Assessment in Online Forums
EMNLP
Andrew Yates |
Arman Cohan |
Nazli Goharian |
GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction
*SEMEVAL
Sean MacAvaney |
Arman Cohan |
Nazli Goharian |
Revisiting Summarization Evaluation for Scientific Articles
LREC
Arman Cohan |
Nazli Goharian |
GUIR at SemEval-2016 task 12: Temporal Information Processing for Clinical Narratives
*SEMEVAL
Arman Cohan |
Kevin Meurer |
Nazli Goharian |
Triaging Mental Health Forum Posts
WS
Arman Cohan |
Sydney Young |
Nazli Goharian |
Scientific Article Summarization Using Citation-Context and Article’s Discourse Structure
EMNLP
Arman Cohan |
Nazli Goharian |
Matching Citation Text and Cited Spans in Biomedical Literature: a Search-Oriented Approach
NAACL
Arman Cohan |
Luca Soldaini |
Nazli Goharian |
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