Papers by Vasant G. Honavar

1 papers
Reinforcement Learning for Large Language Models via Group Preference Reward Shaping (2025.emnlp-main)

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Challenge: Existing methods for fine-tuning Large Language Models (LLMs) are expensive and sensitive to reward model quality.
Approach: They propose a method that leverages preference-based comparisons rather than precise numerical rewards.
Outcome: Experiments show that GPRS outperforms critic-model-free RL algorithms on RLHF and reasoning tasks.

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