works on

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

activity
20242026
collaborators

12 papers

cs.AI2026

SemPIC: Learning Semantic Position-Independent KV Caches

Hui Xie, Peng Xiao, Yutong Deng +4

The paper introduces SemPIC, a method that learns semantic position‑independent key‑value caches for large language models by training a LoRA‑enabled writer to compile document rep…

cs.SE2026

HTMLCure: Turning Browser Experience into State Guided Repair for Interactive HTML

Jiajun Wu, Jian Yang, Tuney Zheng +4

LLMs can now produce full HTML pages, but many of those pages are only superficially correct: they render once, then fail under scroll, hover, click, resize, or gameplay. Evaluatio…

cs.CR2026

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization

Zonghao Ying, Haozheng Wang, Jiangfan Liu +5

Large Language Model (LLM) agents are increasingly used to automate complex workflows, but integrating untrusted external data with privileged execution exposes them to severe secu…

cs.AR2026

InCoder-32B-Thinking: Industrial Code World Model for Thinking

Jian Yang, Wei Zhang, Jiajun Wu +22

Industrial software development across chip design, GPU optimization, and embedded systems lacks expert reasoning traces showing how engineers reason about hardware constraints and…

cs.CR2026

Evolving Deception: When Agents Evolve, Deception Wins

Zonghao Ying, Haowen Dai, Tianyuan Zhang +6

Self-evolving agents offer a promising path toward scalable autonomy. However, in this work, we show that in competitive environments, self-evolution can instead give rise to a ser…

cs.CL2025

M2G-Eval: Enhancing and Evaluating Multi-granularity Multilingual Code Generation

Fanglin Xu, Wei Zhang, Jian Yang +5

The rapid advancement of code large language models (LLMs) has sparked significant research interest in systematically evaluating their code generation capabilities, yet existing b…