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cs.CL2025

A Survey of Multilingual Reasoning in Language Models

Akash Ghosh, Debayan Datta, Sriparna Saha +1

While reasoning and multilingual capabilities in language models (LMs) have achieved remarkable progress in recent years, their integration into a unified paradigm - multilingual r…

cs.CL2025

On the Impact of Fine-Tuning on Chain-of-Thought Reasoning

Elita Lobo, Chirag Agarwal, Himabindu Lakkaraju

Large language models have emerged as powerful tools for general intelligence, showcasing advanced natural language processing capabilities that find applications across diverse do…

cs.CL2025

Certifying LLM Safety against Adversarial Prompting

Aounon Kumar, Chirag Agarwal, Suraj Srinivas +3

Large language models (LLMs) are vulnerable to adversarial attacks that add malicious tokens to an input prompt to bypass the safety guardrails of an LLM and cause it to produce ha…

cs.CL2024

In-Context Explainers: Harnessing LLMs for Explaining Black Box Models

Nicholas Kroeger, Dan Ley, Satyapriya Krishna +2

Recent advancements in Large Language Models (LLMs) have demonstrated exceptional capabilities in complex tasks like machine translation, commonsense reasoning, and language unders…

cs.CL2024

On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models

Sree Harsha Tanneru, Dan Ley, Chirag Agarwal +1

As Large Language Models (LLMs) are increasingly being employed in real-world applications in critical domains such as healthcare, it is important to ensure that the Chain-of-Thoug…