Nishant Balepur

According to our database, Nishant Balepur authored at least 13 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer?

Nishant Balepur, Feng Gu, Abhilasha Ravichander, Shi Feng, Jordan L. Boyd-Graber, Rachel Rudinger

CoRR, 2024

Is Your Large Language Model Knowledgeable or a Choices-Only Cheater?

Nishant Balepur, Rachel Rudinger

CoRR, 2024

The Prompt Report: A Systematic Survey of Prompting Techniques.

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

CoRR, 2024

KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students.

Matthew Shu, Nishant Balepur, Shi Feng, Jordan L. Boyd-Graber

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning.

Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick.

Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?

Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning.

Nishant Balepur, Shramay Palta, Rachel Rudinger

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

It's Not Easy Being Wrong: Evaluating Process of Elimination Reasoning in Large Language Models.

Nishant Balepur, Shramay Palta, Rachel Rudinger

CoRR, 2023

Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation.

Nishant Balepur, Jie Huang, Samraj Moorjani, Hari Sundaram, Kevin Chen-Chuan Chang

CoRR, 2023

Expository Text Generation: Imitate, Retrieve, Paraphrase.

Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Text Fact Transfer.

Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance.

Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023