Nishant Balepur

33 papers A* 5Journal 20Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks. CoRR Nishant Balepur, Bhavya Rajasekaran, Jane Oh, Michael Xie, Atrey Desai, Vipul Gupta, Steven James Moore, Eunsol Choi, Rachel Rudinger, Jordan Lee Boyd-Graber
2026	J	`jnl`	Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users. CoRR Nishant Balepur, Malachi Hamada, Varsha Kishore, Sergey Feldman, Amanpreet Singh, Pao Siangliulue, Joseph Chee Chang, Eunsol Choi, Jordan Lee Boyd-Graber, Aakanksha Naik
2025	A*	`conf`	A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users. EMNLP Nishant Balepur, Matthew Shu, Yoo Yeon Sung, Seraphina Goldfarb-Tarrant, Shi Feng, Fumeng Yang, Rachel Rudinger, Jordan Lee Boyd-Graber
2025	J	`jnl`	A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users. CoRR Nishant Balepur, Matthew Shu, Yoo Yeon Sung, Seraphina Goldfarb-Tarrant, Shi Feng, Fumeng Yang, Rachel Rudinger, Jordan Lee Boyd-Graber
2025	J	`jnl`	AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite. CoRR Jonathan Bragg, Mike D'Arcy, Nishant Balepur, Dan Bareket, Bhavana Dalvi, Sergey Feldman, Dany Haddad, Jena D. Hwang, Peter A. Jansen, Varsha Kishore, Bodhisattwa Prasad Majumder, Aakanksha Naik, Sigal Rahamimov, Kyle Richardson, Amanpreet Singh, Harshit Surana, Aryeh Tiktinsky, Rosni Vasu, Guy Wiener, Chloe Anastasiades, Stefan Candra, Jason Dunkelberger, Dan Emery, Rob Evans, Malachi Hamada, Regan Huff, Rodney Kinney, Matt Latzke, Jaron Lochner, Ruben Lozano-Aguilera, Cecile Nguyen, Smita Rao, Amber Tanaka, Brooke Vlahos, Peter Clark, Doug Downey, Yoav Goldberg, Ashish Sabharwal, Daniel S. Weld
2025	J	`jnl`	Can They Dixit? Yes they Can! Dixit as a Playground for Multimodal Language Model Capabilities. CoRR Nishant Balepur, Dang Nguyen, Dayeon Ki
2025	J	`jnl`	MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections. CoRR Nishant Balepur, Alexa F. Siu, Nedim Lipka, Franck Dernoncourt, Tong Sun, Jordan L. Boyd-Graber, Puneet Mathur
2025	—	`conf`	MoDS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections. NAACL (Long Papers) Nishant Balepur, Alexa F. Siu, Nedim Lipka, Franck Dernoncourt, Tong Sun, Jordan Lee Boyd-Graber, Puneet Mathur
2025	—	`conf`	Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer? NAACL (Short Papers) Nishant Balepur, Feng Gu, Abhilasha Ravichander, Shi Feng, Jordan Lee Boyd-Graber, Rachel Rudinger
2025	J	`jnl`	Test-Time Reasoners Are Strategic Multiple-Choice Test-Takers. CoRR Nishant Balepur, Atrey Desai, Rachel Rudinger
2025	—	`conf`	Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above. ACL (1) Nishant Balepur, Rachel Rudinger, Jordan Lee Boyd-Graber
2025	J	`jnl`	Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above. CoRR Nishant Balepur, Rachel Rudinger, Jordan Lee Boyd-Graber
2025	—	`conf`	Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas. ACL (1) Nishant Balepur, Vishakh Padmakumar, Fumeng Yang, Shi Feng, Rachel Rudinger, Jordan Lee Boyd-Graber
2025	J	`jnl`	Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas. CoRR Nishant Balepur, Vishakh Padmakumar, Fumeng Yang, Shi Feng, Rachel Rudinger, Jordan Lee Boyd-Graber
2024	A*	`conf`	A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick. EMNLP Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber
2024	J	`jnl`	A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick. CoRR Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber
2024	—	`conf`	Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? ACL (1) Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger
2024	J	`jnl`	Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? CoRR Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger
2024	J	`jnl`	Is Your Large Language Model Knowledgeable or a Choices-Only Cheater? CoRR Nishant Balepur, Rachel Rudinger
2024	—	`conf`	It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning. ACL (Findings) Nishant Balepur, Shramay Palta, Rachel Rudinger
2024	A*	`conf`	KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students. EMNLP Matthew Shu, Nishant Balepur, Shi Feng, Jordan L. Boyd-Graber
2024	J	`jnl`	KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students. CoRR Matthew Shu, Nishant Balepur, Shi Feng, Jordan L. Boyd-Graber
2024	—	`conf`	Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning. EMNLP (Findings) Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger
2024	J	`jnl`	Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning. CoRR Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger
2024	J	`jnl`	Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer? CoRR Nishant Balepur, Feng Gu, Abhilasha Ravichander, Shi Feng, Jordan L. Boyd-Graber, Rachel Rudinger
2024	J	`jnl`	The Prompt Report: A Systematic Survey of Prompting Techniques. CoRR Sander Schulhoff, Michael Ilie, Nishant Balepur, Konstantine Kahadze, Amanda Liu, Chenglei Si, Yinheng Li, Aayush Gupta, HyoJung Han, Sevien Schulhoff, Pranav Sandeep Dulepet, Saurav Vidyadhara, Dayeon Ki, Sweta Agrawal, Chau Pham, Gerson C. Kroiz, Feileen Li, Hudson Tao, Ashay Srivastava, Hevander Da Costa, Saloni Gupta, Megan L. Rogers, Inna Goncearenco, Giuseppe Sarli, Igor Galynker, Denis Peskoff, Marine Carpuat, Jules White, Shyamal Anadkat, Alexander Miserlis Hoyle, Philip Resnik
2023	—	`conf`	DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance. ACL (Findings) Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han
2023	A*	`conf`	Expository Text Generation: Imitate, Retrieve, Paraphrase. EMNLP Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Expository Text Generation: Imitate, Retrieve, Paraphrase. CoRR Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	It's Not Easy Being Wrong: Evaluating Process of Elimination Reasoning in Large Language Models. CoRR Nishant Balepur, Shramay Palta, Rachel Rudinger
2023	J	`jnl`	Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation. CoRR Nishant Balepur, Jie Huang, Samraj Moorjani, Hari Sundaram, Kevin Chen-Chuan Chang
2023	A*	`conf`	Text Fact Transfer. EMNLP Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Text Fact Transfer. CoRR Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang