works on

From the 1 of 12 linked papers with an AI index.

most citedAudio-Omni: Extending Multi-modal Understanding to Versatile Audio Generation and Editing

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing cs.AIShow all

6 papers · 1 filter

cs.AI2026

SkillProx: Self-Evolving Agent Skills via Proximal Textual Gradient Descent

Mingxuan Zheng, Yujin Zhou, Chuxue Cao +6

LLM agents increasingly adapt to recurring tasks by accumulating procedural knowledge in skills. These skills are lightweight, reusable textual artifacts that are loaded into the a…

cs.AI2026

CaveAgent: Transforming LLMs into Stateful Runtime Operators

Maohao Ran, Zhenglin Wan, Cooper Lin +21

LLM-based agents are increasingly capable of complex task execution, yet current agentic systems remain constrained by text-centric paradigms that struggle with long-horizon tasks…

cs.AI2026

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models

Zhe Qian, Yanbiao Ma, Zhuohan Ouyang +7

Multimodal Large Reasoning Models (MLRMs) have achieved remarkable strides in visual reasoning through test time compute scaling, yet long chain reasoning remains prone to hallucin…

cs.AI2026

ClawNet: Human-Symbiotic Agent Network for Cross-User Autonomous Cooperation

Zhiqin Yang, Zhenyuan Zhang, Xianzhang Jia +4

Current AI agent frameworks have made remarkable progress in automating individual tasks, yet all existing systems serve a single user. Human productivity rests on the social and o…

cs.AI2026

Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection

Cooper Lin, Yanting Zhang, Maohao Ran +7

E-commerce platforms and payment solution providers face increasingly sophisticated fraud schemes, ranging from identity theft and account takeovers to complex money laundering ope…

cs.AI2026

Crisis-Bench: Benchmarking Strategic Ambiguity and Reputation Management in Large Language Models

Cooper Lin, Maohao Ran, Yanting Zhang +6

Standard safety alignment optimizes Large Language Models (LLMs) for universal helpfulness and honesty, effectively instilling a rigid "Boy Scout" morality. While robust for genera…