activity
20212026
most citedBenchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach

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

collaborators

46 papers

cs.CR2026

Reassembling Distributed Risk: Trajectory-Conditioned Action Generation for Multi-Turn Agent Safety

Yanbo Dai, Zhenlan Ji, Zongjie Li +1

Tool-using LLM agents extend security risks beyond generated text to actions that affect external systems. Under multi-turn decomposition attacks, a harmful objective can be distri…

cs.CR2026

Uncovering and Understanding Hidden Dependencies in the LLM API Reseller Ecosystem via Prefix-Cache Side Channels

Zimo Ji, Xin Wei, Congying Xu +5

LLM API resellers have become an important access layer to modern LLM services. However, multi-level resale creates an opaque supply chain: a user's request may traverse undisclose…

cs.SE2026

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming

Pingchuan Ma, Zhaoyu Wang, Zimo Ji +5

Large language model (LLM) agents increasingly automate complex tasks by integrating language models with external tools and environments. However, their autonomy poses significant…

cs.CR2026

Cloak and Detonate: Scanner Evasion and Dynamic Detection of Agent Skill Malware

Zimo Ji, Congying Xu, Zongjie Li +4

LLM coding agents increasingly rely on third-party agent skills from public marketplaces, which execute with the agent's privileges and create a software supply-chain attack surfac…

cs.SE2026

Coding Agents Are Guessing: Measuring Action-Boundary Violations in Underspecified DevOps Instructions

Zimo Ji, Zekai Zhang, Congying Xu +4

LLM coding agents are increasingly deployed to act autonomously on real production infrastructure. They execute shell commands, modify repositories, and call operational APIs. Howe…

cs.AI2026

Unlocking Proactivity in Task-Oriented Dialogue

Azure Zhang, Ning Gao, Yuqin Dai +7

Proactive task-oriented dialogue (TOD), such as outbound sales, demands a persuasive agent that actively probes the user's concerns and steers the conversation toward acceptance wi…