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From the 1 of 40 linked papers with an AI index.

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20242026
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cs.CL2026

Pass the Baton: Trajectory-Relayed On-Policy Distillation

Haolei Xu, Xiaowen Xu, Haiwen Hong +5

The paper proposes Relay On-Policy Distillation (Relay-OPD), a method that lets a teacher model temporarily take over a student’s generation when a wrong reasoning prefix is detect…

cs.CL2026

GroundAct: Can LLM Agents Ground Actions in Environmental States?

Zixuan Wang, Dingming Li, Hongxing Li +8

LLM agents achieve 85-96% success on tasks where instructions fully specify the action, but drop to 29-53% when action feasibility depends on environmental state that the instructi…

cs.CL2026

Language as a Latent Variable for Reasoning Optimization

Linjuan Wu, Haoran Wei, Jialong Tang +4

As LLMs reduce English-centric bias, a surprising trend emerges: non-English responses sometimes outperform English on reasoning tasks. We hypothesize that language functions as a…

cs.CL2026

Pause or Fabricate? Training Language Models for Grounded Reasoning

Yiwen Qiu, Linjuan Wu, Yizhou Liu +9

Large language models have achieved remarkable progress on complex reasoning tasks. However, they often implicitly fabricate information when inputs are incomplete, producing confi…

cs.CL2026

CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution

Teng Pan, Yuchen Yan, Zixuan Wang +6

Label-free reinforcement learning enables large language models to improve reasoning capabilities without ground-truth supervision, typically by treating majority-voted answers as…

cs.CL2026

Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning

Aozhe Wang, Yuchen Yan, Nan Zhou +5

Reinforcement learning for code generation relies on verifiable rewards from unit test pass rates. Yet high-quality test suites are scarce, existing datasets offer limited coverage…