most citedScaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems

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cs.CL2025

BP-Seg: A graphical model approach to unsupervised and non-contiguous text segmentation using belief propagation

Fengyi Li, Kayhan Behdin, Natesh Pillai +3

Text segmentation based on the semantic meaning of sentences is a fundamental task with broad utility in many downstream applications. In this paper, we propose a graphical model-b…

cs.CL2025★ 1 cited

AlphaPO: Reward Shape Matters for LLM Alignment

Aman Gupta, Shao Tang, Qingquan Song +10

Reinforcement Learning with Human Feedback (RLHF) and its variants have made huge strides toward the effective alignment of large language models (LLMs) to follow instructions and…