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From the 1 of 8 linked papers with an AI index.

collaborators

8 papers

cs.AI2026

Recursive Synthesis for Long-Horizon Terminal Tasks

Zhongzhi Li, Yucheng Shi, Zongxia Li +8

High-quality long-horizon training data for terminal agents is expensive to produce, often costing hundreds to thousands of dollars per task, because each task must keep the instru…

cs.LG2026

Stale but Stable: Staleness-Adaptive Trust Regions for Stabilizing Asynchronous Reinforcement Learning

Junyao Yang, Yucheng Shi, Zongxia Li +6

Asynchronous reinforcement learning improves throughput by decoupling rollout generation from optimization, but the resulting staleness is an inevitable byproduct, compounded joint…

cs.AI2026

Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable

Ruhan Wang, Yucheng Shi, Zongxia Li +7

The paper presents the Harness Handbook, a tool that automatically creates a behavior‑centric view of AI agent harness code using static analysis and LLM assistance, enabling devel…

cs.AI2026

Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning

Rui Liu, Dian Yu, Tong Zheng +8

Reinforcement learning with verifiable rewards (RLVR) has advanced reasoning capabilities in multimodal large language models. However, existing methods typically treat visual inpu…

cs.LG2026

G-Zero: Self-Play for Open-Ended Generation from Zero Data

Chengsong Huang, Haolin Liu, Tong Zheng +7

Self-evolving LLMs excel in verifiable domains but struggle in open-ended tasks, where reliance on proxy LLM judges introduces capability bottlenecks and reward hacking. To overcom…

cs.CV2026

Self-Rewarding Vision-Language Model via Reasoning Decomposition

Zongxia Li, Wenhao Yu, Chengsong Huang +8

Vision-Language Models (VLMs) often suffer from visual hallucinations: generating things that are not consistent with visual inputs and language shortcuts, where they skip the visu…