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cs.CL2026
Reinforcement Learning-based Semi-supervised Knowledge Distillation with LLM-as-a-Judge
Yiyang Shen, Lifu Tu, Weiran Wang
Reinforcement Learning (RL) substantially improves the reasoning capabilities of language models, but most existing RL fine-tuning approaches rely entirely on ground-truth verifiab…
cs.CL2026
LLM NL2SQL Robustness: Surface Noise vs. Linguistic Variation in Traditional and Agentic Settings
Lifu Tu, Rongguang Wang, Tao Sheng +2
Robustness evaluation for Natural Language to SQL (NL2SQL) systems is essential because real-world database environments are dynamic, noisy, and continuously evolving, whereas conv…