Papers by Vedant Gaur

2 papers
The Progress Illusion: Revisiting meta-evaluation standards of LLM evaluators (2025.findings-emnlp)

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Challenge: LLM judges have gained popularity as an inexpensive and performant substitute for human evaluation.
Approach: They revisit meta-evaluations of LLM evaluators under a setting that more closely aligns with practice by examining evaluers’ ability to distinguish test system pairs that are closer in capability.
Outcome: The proposed meta-evaluation setting is significantly different from the use of human evaluations.
Reasoning in Large Language Models Through Symbolic Math Word Problems (2023.findings-acl)

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Challenge: Large language models (LLMs) have revolutionized NLP by solving downstream tasks with little to no labeled data.
Approach: They propose a model that uses symbolic expressions to provide a concise explanation of the numeric answer.
Outcome: The proposed model has good accuracy on symbolic word problems and is able to provide a concise and verifiable reasoning and make it more interpretable.

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