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Santosh Mashetty

2 accepted papers

2024

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models

ACL 2024long

Recently developed large language models (LLMs) have been shown to perform remarkably well on a wide range of language understanding tasks. But, can they really “reason” over the natural language? This question has been receiving significant research attention and many reasoning skills such as commo…

2023

LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference

EMNLP 2023short findings

Recently Large Language Models (LLMs) such as GPT-3, ChatGPT, and FLAN have led to impressive progress in Natural Language Inference (NLI) tasks. However, these models may rely on simple heuristics or artifacts in the evaluation data to achieve their high performance, which suggests that they still…

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