Markov Chains for Robust Graph-Based Commonsense Information Extraction. - Niket Tandon; Dheeraj Rajagopal; Gerard de Melo (COLING (Demos), 2012)

Commonsense-based topic modeling. - Dheeraj Rajagopal; Daniel Olsher; Erik Cambria; Kenneth Kwok (WISDOM, 2013)

A graph-based approach to commonsense concept extraction and semantic similarity detection. - Dheeraj Rajagopal; Erik Cambria; Daniel Olsher; Kenneth Kwok (WWW (Companion Volume), 2013)

SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis. - Erik Cambria; Daniel Olsher; Dheeraj Rajagopal (AAAI, 2014)

GECKA: Game Engine for Commonsense Knowledge Acquisition. - Erik Cambria; Dheeraj Rajagopal; Kenneth Kwok; Jose Sepulveda (FLAIRS, 2015)

Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts. - Jun Araki; Dheeraj Rajagopal; Sreecharan Sankaranarayanan; Susan Holm; Yukari Yamakawa; Teruko Mitamura (COLING, 2016)

Gated-Attention Architectures for Task-Oriented Language Grounding. - Devendra Singh Chaplot; Kanthashree Mysore Sathyendra; Rama Kumar Pasumarthi; Dheeraj Rajagopal; Ruslan Salakhutdinov (AAAI, 2018)

Learning to Define Terms in the Software Domain. - Vidhisha Balachandran; Dheeraj Rajagopal; Rose Catherine Kanjirathinkal; William W. Cohen (NUT@EMNLP, 2018)

Simple and Effective Semi-Supervised Question Answering. - Bhuwan Dhingra; Danish Pruthi; Dheeraj Rajagopal (NAACL-HLT (2), 2018)

OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. - Eduard H. Hovy; Taylor Berg-Kirkpatrick; Jaime G. Carbonell; Hans Chalupsky; Anatole Gershman; Alexander G. Hauptmann; Florian Metze; Teruko Mitamura; Aditi Chaudhary; Xianyang Chen; Bernie Po-Yao Huang; Hector Zhengzhong Liu; et al. (TAC, 2018)

Domain Adaptation of SRL Systems for Biological Processes. - Dheeraj Rajagopal; Nidhi Vyas; Aditya Siddhant; Anirudha Rayasam; Niket Tandon; Eduard H. Hovy (BioNLP@ACL, 2019)

Modeling the Relationship between User Comments and Edits in Document Revision. - Xuchao Zhang; Dheeraj Rajagopal; Michael Gamon; Sujay Kumar Jauhar; Chang-Tien Lu (EMNLP/IJCNLP (1), 2019)

What-if I ask you to explain: Explaining the effects of perturbations in procedural text. - Dheeraj Rajagopal; Niket Tandon; Peter Clark; Bhavana Dalvi; Eduard H. Hovy (EMNLP (Findings), 2020)

A Dataset for Tracking Entities in Open Domain Procedural Text. - Niket Tandon; Keisuke Sakaguchi; Bhavana Dalvi; Dheeraj Rajagopal; Peter Clark; Michal Guerquin; Kyle Richardson 001; Eduard H. Hovy (EMNLP (1), 2020)

StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. - Vidhisha Balachandran; Artidoro Pagnoni; Jay Yoon Lee; Dheeraj Rajagopal; Jaime G. Carbonell; Yulia Tsvetkov (CoRR, 2020)

EIGEN: Event Influence GENeration using Pre-trained Language Models. - Aman Madaan; Dheeraj Rajagopal; Yiming Yang; Abhilasha Ravichander; Eduard H. Hovy; Shrimai Prabhumoye (CoRR, 2020)

Could you give me a hint ? Generating inference graphs for defeasible reasoning. - Aman Madaan; Dheeraj Rajagopal; Niket Tandon; Yiming Yang; Eduard H. Hovy (ACL/IJCNLP (Findings), 2021)

StructSum: Summarization via Structured Representations. - Vidhisha Balachandran; Artidoro Pagnoni; Jay Yoon Lee; Dheeraj Rajagopal; Jaime G. Carbonell; Yulia Tsvetkov (EACL, 2021)

Think about it! Improving defeasible reasoning by first modeling the question scenario. - Aman Madaan; Niket Tandon; Dheeraj Rajagopal; Peter Clark; Yiming Yang; Eduard H. Hovy (EMNLP (1), 2021)

SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. - Dheeraj Rajagopal; Vidhisha Balachandran; Eduard H. Hovy; Yulia Tsvetkov (EMNLP (1), 2021)

CURIE: An Iterative Querying Approach for Reasoning About Situations. - Dheeraj Rajagopal; Aman Madaan; Niket Tandon; Yiming Yang; Shrimai Prabhumoye; Abhilasha Ravichander; Peter Clark; Eduard H. Hovy (CoRR, 2021)

Improving Neural Model Performance through Natural Language Feedback on Their Explanations. - Aman Madaan; Niket Tandon; Dheeraj Rajagopal; Yiming Yang; Peter Clark; Keisuke Sakaguchi; Eduard H. Hovy (CoRR, 2021)

Cross-Domain Reasoning via Template Filling. - Dheeraj Rajagopal; Vivek Khetan; Bogdan Sacaleanu; Anatole Gershman; Andrew E. Fano; Eduard H. Hovy (CoRR, 2021)

Conditional set generation using Seq2seq models. - Aman Madaan; Dheeraj Rajagopal; Niket Tandon; Yiming Yang; Antoine Bosselut (EMNLP, 2022)

One Document, Many Revisions: A Dataset for Classification and Description of Edit Intents. - Dheeraj Rajagopal; Xuchao Zhang; Michael Gamon; Sujay Kumar Jauhar; Diyi Yang; Eduard H. Hovy (LREC, 2022)

Counterfactual Data Augmentation improves Factuality of Abstractive Summarization. - Dheeraj Rajagopal; Siamak Shakeri; Cícero Nogueira dos Santos; Eduard H. Hovy; Chung-Ching Chang (CoRR, 2022)

StyLEx: Explaining Styles with Lexicon-Based Human Perception. - Shirley Anugrah Hayati; Kyumin Park; Dheeraj Rajagopal; Lyle H. Ungar; Dongyeop Kang (CoRR, 2022)

StyLEx: Explaining Style Using Human Lexical Annotations. - Shirley Anugrah Hayati; Kyumin Park; Dheeraj Rajagopal; Lyle H. Ungar; Dongyeop Kang (EACL, 2023)

Template Filling for Controllable Commonsense Reasoning. - Dheeraj Rajagopal; Vivek Khetan; Bogdan Sacaleanu; Anatole Gershman; Andrew E. Fano; Eduard H. Hovy (IJCNLP (Findings), 2023)

How Far Can We Extract Diverse Perspectives from Large Language Models? Criteria-Based Diversity Prompting! - Shirley Anugrah Hayati; Minhwa Lee; Dheeraj Rajagopal; Dongyeop Kang (CoRR, 2023)

How Far Can We Extract Diverse Perspectives from Large Language Models? - Shirley Anugrah Hayati; Minhwa Lee; Dheeraj Rajagopal; Dongyeop Kang (EMNLP, 2024)

AutoMix: Automatically Mixing Language Models. - Pranjal Aggarwal; Aman Madaan; Ankit Anand; Srividya Pranavi Potharaju; Swaroop Mishra; Pei Zhou; Aditya Gupta; Dheeraj Rajagopal; Karthik Kappaganthu; Yiming Yang; Shyam Upadhyay; Manaal Faruqui; et al. (NeurIPS, 2024)

Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation. - Ruixin Yang; Dheeraj Rajagopal; Shirley Anugrah Hayati; Bin Hu; Dongyeop Kang (CoRR, 2024)

Explanations for Natural Language: From Theory to Practice - Dheeraj Rajagopal (2024)

Steering off Course: Reliability Challenges in Steering Language Models. - Patrick Queiroz Da Silva; Hari Sethuraman; Dheeraj Rajagopal; Hannaneh Hajishirzi; Sachin Kumar 009 (ACL (1), 2025)

Scalable Influence and Fact Tracing for Large Language Model Pretraining. - Tyler A. Chang; Dheeraj Rajagopal; Tolga Bolukbasi; Lucas Dixon; Ian Tenney (ICLR, 2025)