activity
20242026
most citedWhat External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context for Multi-Hop QA

2 citations · 4 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AI2026

Emerging from Ground: Addressing Intent Deviation in Tool-Using Agents via Deriving Real Calls into Virtual Trajectories

Qian Xiong, Yuekai Huang, Bo Yang +7

LLMs have advanced tool-using agents for real-world applications, yet they often lead to unexpected behaviors or results. Beyond obvious failures, the subtle issue of "intent devia…

cs.AI2026

Know Thy Enemy: Securing LLMs Against Prompt Injection via Diverse Data Synthesis and Instruction-Level Chain-of-Thought Learning

Zhiyuan Chang, Mingyang Li, Yuekai Huang +6

Large language model (LLM)-integrated applications have become increasingly prevalent, yet face critical security vulnerabilities from prompt injection (PI) attacks. Defending agai…

cs.CV2026

All Changes May Have Invariant Principles: Improving Ever-Shifting Harmful Meme Detection via Design Concept Reproduction

Ziyou Jiang, Mingyang Li, Junjie Wang +5

Harmful memes are ever-shifting in the Internet communities, which are difficult to analyze due to their type-shifting and temporal-evolving nature. Although these memes are shifti…

cs.LG2025

Fall into a Pit, Gain in a Wit: Cognitive-Guided Harmful Meme Detection via Misjudgment Risk Pattern Retrieval

Wenshuo Wang, Ziyou Jiang, Junjie Wang +6

Internet memes have emerged as a popular multimodal medium, yet they are increasingly weaponized to convey harmful opinions through subtle rhetorical devices like irony and metapho…

cs.SE2025

Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent Systems

Qian Xiong, Yuekai Huang, Ziyou Jiang +4

The emergence of the tool agent paradigm has broadened the capability boundaries of the Large Language Model (LLM), enabling it to complete more complex tasks. However, the effecti…

cs.CR2025

One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems

Zhiyuan Chang, Mingyang Li, Xiaojun Jia +5

Large Language Models (LLMs) enhanced with Retrieval-Augmented Generation (RAG) have shown improved performance in generating accurate responses. However, the dependence on externa…