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ORCIDNishant Balepur
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2020 – today
- 2024
[c8]Nishant Balepur, Shramay Palta
, Rachel Rudinger:
It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning. ACL (Findings) 2024: 10143-10166- [c7]Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger:
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? ACL (1) 2024: 10308-10330 - [c6]Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger:
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning. EMNLP (Findings) 2024: 3451-3473 - [c5]Matthew Shu, Nishant Balepur, Shi Feng, Jordan L. Boyd-Graber:
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students. EMNLP 2024: 14161-14178 - [c4]Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber:
A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick. EMNLP 2024: 14202-14225 - [i9]Matthew Shu, Nishant Balepur, Shi Feng, Jordan L. Boyd-Graber:
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students. CoRR abs/2402.12291 (2024) - [i8]Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger:
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? CoRR abs/2402.12483 (2024) - [i7]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:
The Prompt Report: A Systematic Survey of Prompting Techniques. CoRR abs/2406.06608 (2024) - [i6]Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber:
A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick. CoRR abs/2406.15352 (2024) - [i5]Nishant Balepur, Rachel Rudinger:
Is Your Large Language Model Knowledgeable or a Choices-Only Cheater? CoRR abs/2407.01992 (2024) - 2023
- [c3]Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han:
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance. ACL (Findings) 2023: 194-217 - [c2]Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Text Fact Transfer. EMNLP 2023: 4745-4764 - [c1]Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Expository Text Generation: Imitate, Retrieve, Paraphrase. EMNLP 2023: 11896-11919 - [i4]Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Expository Text Generation: Imitate, Retrieve, Paraphrase. CoRR abs/2305.03276 (2023) - [i3]Nishant Balepur, Jie Huang, Samraj Moorjani, Hari Sundaram, Kevin Chen-Chuan Chang:
Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation. CoRR abs/2305.14750 (2023) - [i2]Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Text Fact Transfer. CoRR abs/2310.14486 (2023) - [i1]Nishant Balepur, Shramay Palta, Rachel Rudinger:
It's Not Easy Being Wrong: Evaluating Process of Elimination Reasoning in Large Language Models. CoRR abs/2311.07532 (2023)
Coauthor Index
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