most citedUnlabeled Data vs. Pre-trained Knowledge: Rethinking SSL in the Era of Large Models

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2026

CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization

Bo-Wen Zhang, Junwei He, Wen Wang +5

Rubric-based reinforcement learning enriches language model training by evaluating model outputs against explicit criteria. Yet in GRPO-style pipelines, these structured judgments…

cs.AI2026

Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use

Song-Lin Lv, Weiming Wu, Rui Zhu +2

While Large Language Model (LLM) agents demonstrate proficiency in static benchmarks, their deployment in real-world scenarios is hindered by the dynamic nature of user queries, to…