Dheeraj Rajagopal

49 papers A* 6A 2B 2Misc 1Journal 22Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Expected Reward Prediction, with Applications to Model Routing. CoRR Kenan Hasanaliyev, Silas Alberti, Jenny Hamer, Dheeraj Rajagopal, Kevin Robinson, Jasper Snoek, Victor Veitch, Alexander Nicholas D'Amour
2025	J	`jnl`	Beyond Reactivity: Measuring Proactive Problem Solving in LLM Agents. CoRR Gil Pasternak, Dheeraj Rajagopal, Julia White, Dhruv Atreja, Matthew Thomas, George Hurn-Maloney, Ash Lewis
2025	A*	`conf`	Scalable Influence and Fact Tracing for Large Language Model Pretraining. ICLR Tyler A. Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney
2025	—	`conf`	Steering off Course: Reliability Challenges in Steering Language Models. ACL (1) Patrick Queiroz Da Silva, Hari Sethuraman, Dheeraj Rajagopal, Hannaneh Hajishirzi, Sachin Kumar
2025	J	`jnl`	Steering off Course: Reliability Challenges in Steering Language Models. CoRR Patrick Queiroz Da Silva, Hari Sethuraman, Dheeraj Rajagopal, Hannaneh Hajishirzi, Sachin Kumar
2024	A*	`conf`	AutoMix: Automatically Mixing Language Models. NeurIPS 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, Mausam
2024	J	`jnl`	Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation. CoRR Ruixin Yang, Dheeraj Rajagopal, Shirley Anugrah Hayati, Bin Hu, Dongyeop Kang
2024	—	`—`	Explanations for Natural Language: From Theory to Practice Dheeraj Rajagopal
2024	A*	`conf`	How Far Can We Extract Diverse Perspectives from Large Language Models? EMNLP Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal, Dongyeop Kang
2024	J	`jnl`	Scalable Influence and Fact Tracing for Large Language Model Pretraining. CoRR Tyler A. Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney
2023	J	`jnl`	AutoMix: Automatically Mixing Language Models. CoRR Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui
2023	J	`jnl`	How Far Can We Extract Diverse Perspectives from Large Language Models? Criteria-Based Diversity Prompting! CoRR Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal, Dongyeop Kang
2023	A	`conf`	StyLEx: Explaining Style Using Human Lexical Annotations. EACL Shirley Anugrah Hayati, Kyumin Park, Dheeraj Rajagopal, Lyle H. Ungar, Dongyeop Kang
2023	—	`conf`	Template Filling for Controllable Commonsense Reasoning. IJCNLP (Findings) Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy
2022	A*	`conf`	Conditional set generation using Seq2seq models. EMNLP Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut
2022	J	`jnl`	Conditional set generation using Seq2seq models. CoRR Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut
2022	J	`jnl`	Counterfactual Data Augmentation improves Factuality of Abstractive Summarization. CoRR Dheeraj Rajagopal, Siamak Shakeri, Cícero Nogueira dos Santos, Eduard H. Hovy, Chung-Ching Chang
2022	B	`conf`	One Document, Many Revisions: A Dataset for Classification and Description of Edit Intents. LREC Dheeraj Rajagopal, Xuchao Zhang, Michael Gamon, Sujay Kumar Jauhar, Diyi Yang, Eduard H. Hovy
2022	J	`jnl`	StyLEx: Explaining Styles with Lexicon-Based Human Perception. CoRR Shirley Anugrah Hayati, Kyumin Park, Dheeraj Rajagopal, Lyle H. Ungar, Dongyeop Kang
2021	J	`jnl`	CURIE: An Iterative Querying Approach for Reasoning About Situations. CoRR Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy
2021	—	`conf`	Could you give me a hint ? Generating inference graphs for defeasible reasoning. ACL/IJCNLP (Findings) Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy
2021	J	`jnl`	Could you give me a hint? Generating inference graphs for defeasible reasoning. CoRR Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy
2021	J	`jnl`	Cross-Domain Reasoning via Template Filling. CoRR Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy
2021	J	`jnl`	Improving Neural Model Performance through Natural Language Feedback on Their Explanations. CoRR Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy
2021	—	`conf`	SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. EMNLP (1) Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov
2021	J	`jnl`	SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers. CoRR Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov
2021	A	`conf`	StructSum: Summarization via Structured Representations. EACL Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
2021	—	`conf`	Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP (1) Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy
2021	J	`jnl`	Think about it! Improving defeasible reasoning by first modeling the question scenario. CoRR Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy
2020	—	`conf`	A Dataset for Tracking Entities in Open Domain Procedural Text. EMNLP (1) Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy
2020	J	`jnl`	A Dataset for Tracking Entities in Open Domain Procedural Text. CoRR Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi Mishra, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy
2020	J	`jnl`	EIGEN: Event Influence GENeration using Pre-trained Language Models. CoRR Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard H. Hovy, Shrimai Prabhumoye
2020	J	`jnl`	StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. CoRR Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
2020	—	`conf`	What-if I ask you to explain: Explaining the effects of perturbations in procedural text. EMNLP (Findings) Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy
2020	J	`jnl`	What-if I ask you to explain: Explaining the effects of perturbations in procedural text. CoRR Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy
2019	—	`conf`	Domain Adaptation of SRL Systems for Biological Processes. BioNLP@ACL Dheeraj Rajagopal, Nidhi Vyas, Aditya Siddhant, Anirudha Rayasam, Niket Tandon, Eduard H. Hovy
2019	—	`conf`	Modeling the Relationship between User Comments and Edits in Document Revision. EMNLP/IJCNLP (1) Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, Chang-Tien Lu
2018	A*	`conf`	Gated-Attention Architectures for Task-Oriented Language Grounding. AAAI Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov
2018	—	`conf`	Learning to Define Terms in the Software Domain. NUT@EMNLP Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal, William W. Cohen
2018	—	`conf`	OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC 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, Xuezhe Ma, Shruti Palaskar, Dheeraj Rajagopal, Maria Ryskina, Ramon Sanabria
2018	—	`conf`	Simple and Effective Semi-Supervised Question Answering. NAACL-HLT (2) Bhuwan Dhingra, Danish Pruthi, Dheeraj Rajagopal
2018	J	`jnl`	Simple and Effective Semi-Supervised Question Answering. CoRR Bhuwan Dhingra, Danish Pruthi, Dheeraj Rajagopal
2017	J	`jnl`	Gated-Attention Architectures for Task-Oriented Language Grounding. CoRR Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov
2016	B	`conf`	Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts. COLING Jun Araki, Dheeraj Rajagopal, Sreecharan Sankaranarayanan, Susan Holm, Yukari Yamakawa, Teruko Mitamura
2015	Misc	`conf`	GECKA: Game Engine for Commonsense Knowledge Acquisition. FLAIRS Erik Cambria, Dheeraj Rajagopal, Kenneth Kwok, Jose Sepulveda
2014	A*	`conf`	SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis. AAAI Erik Cambria, Daniel Olsher, Dheeraj Rajagopal
2013	—	`conf`	A graph-based approach to commonsense concept extraction and semantic similarity detection. WWW (Companion Volume) Dheeraj Rajagopal, Erik Cambria, Daniel Olsher, Kenneth Kwok
2013	—	`conf`	Commonsense-based topic modeling. WISDOM Dheeraj Rajagopal, Daniel Olsher, Erik Cambria, Kenneth Kwok
2012	—	`conf`	Markov Chains for Robust Graph-Based Commonsense Information Extraction. COLING (Demos) Niket Tandon, Dheeraj Rajagopal, Gerard de Melo