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Vaishakh Keshava

2 accepted papers

2025

Reinforcement Learning with Backtracking Feedback

NeurIPS 2025poster

Addressing the critical need for robust safety in Large Language Models (LLMs), particularly against adversarial attacks and in-distribution errors, we introduce Reinforcement Learning with Backtracking Feedback (RLBF). This framework advances upon prior methods, such as BSAFE, by primarily leveragi…

Cited by 0SourceScholar
2023

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning

ACL 2023findings

Evaluation of natural language generation (NLG) is complex and multi-dimensional. Generated text can be evaluated for fluency, coherence, factuality, or any other dimensions of interest. Most frameworks that perform such multi-dimensional evaluation require training on large manually or syntheticall…