works on

From the 2 of 107 linked papers with an AI index.

activity
20242026
most citedUniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging

6 citations · 15 across the 34 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

MAGIC: Transition-Aware Generation of Navigable Multi-Scene Game Worlds with Large Language Models

Tsz Hei Fan, Choi Wing Fung, Yuxuan Wan +2

MAGIC is a system that uses large language models to automatically generate multi‑scene 3D game worlds with consistent portals and navigable interiors, evaluating transitions to en…

cs.AI2026

Signal Reshaping for GRPO in Weak-Feedback Agentic Code Repair

Jia Li, Yuxin Su, Ting Peng +3

Code-agent RL often receives weak feedback: rollout-time signals are reliable and executable, but capture only necessary or surface conditions for task success rather than the targ…

cs.AI2026

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification

Yuxuan Wan, Tianqing Fang, Zaitang Li +5

Recent advances in Deep Research Agents (DRAs) are transforming automated knowledge discovery and problem-solving. While the majority of existing efforts focus on enhancing policy…

cs.AI2025

CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning

Man Ho Lam, Chaozheng Wang, Jen-tse Huang +1

Large Language Models (LLMs) have recently demonstrated strong capabilities in code-related tasks, but their robustness in code reasoning under perturbations remains underexplored.…

cs.AI2025

90% Faster, 100% Code-Free: MLLM-Driven Zero-Code 3D Game Development

Runxin Yang, Yuxuan Wan, Shuqing Li +1

Developing 3D games requires specialized expertise across multiple domains, including programming, 3D modeling, and engine configuration, which limits access to millions of potenti…

cs.AI2025

On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Jen-tse Huang, Jiaxu Zhou, Tailin Jin +6

Large language model-based multi-agent systems have shown great abilities across various tasks due to the collaboration of expert agents, each focusing on a specific domain. Howeve…