most citedReward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards

2 citations · 2 across the 7 of their papers we have counts for

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cs.LG2026

TANDEM: Bi-Level Data Mixture Optimization with Twin Networks

Jiaxing Wang, Deping Xiang, Jin Xu +9

The capabilities of large language models (LLMs) significantly depend on training data drawn from various domains. Optimizing domain-specific mixture ratios can be modeled as a bi-…

cs.LG2026

ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment

Xiuyu Li, Jinkai Zhang, Mingyang Yi +4

Reinforcement Learning (RL) post-training alignment for language models is effective, but also costly and unstable in practice, owing to its complicated training process. To addres…