most citedLearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models

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cs.LG2026

The Weakest Link Tells It All: Outcome-Supervised Process Reward Modeling via Learnable Credit Assignment

Tianyu Jia, Yue Fang, Hongxin Ding +6

Process reward models (PRMs) enhance the reasoning capabilities of large language models (LLMs) by providing fine-grained feedback, yet training PRMs typically requires expensive s…

cs.LG2025

Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment

Xu Chu, Zhixin Zhang, Tianyu Jia +1

Aligning large language models (LLMs) with human preferences typically demands vast amounts of meticulously curated data, which is both expensive and prone to labeling noise. We pr…