activity
20242026
most citedKimi K2.5: Visual Agentic Intelligence

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

collaborators

12 papers

cs.CR2026

Rewriting the Response Path: Silent Tampering and Provider-Signed Defense in BYOK LLM Agents

Mingyu Luo, Zihan Zhang, Zesen Liu +7

LLM agents convert model outputs into consequential actions, including communications, code changes, and financial transactions. Developers often trust evidence such as test result…

cs.CY2026

WARBENCH: A Comprehensive Benchmark for Evaluating LLMs in Military Decision-Making

Zongjie Li, Chaozheng Wang, Yuchong Xie +2

Large Language Models are increasingly being considered for deployment in safety-critical military applications. However, current benchmarks suffer from structural blindspots that…

cs.SE2026

RandSet: Randomized Corpus Reduction for Fuzzing Seed Scheduling

Yuchong Xie, Kaikai Zhang, Yu Liu +4

Seed explosion is a fundamental problem in fuzzing seed scheduling, where a fuzzer maintains a huge corpus and fails to choose promising seeds. Existing works focus on seed priorit…

cs.AI2026

On Protecting Agentic Systems' Intellectual Property via Watermarking

Liwen Wang, Zongjie Li, Yuchong Xie +4

The evolution of Large Language Models (LLMs) into agentic systems that perform autonomous reasoning and tool use has created significant intellectual property (IP) value. We demon…

cs.CL20262 cited

Kimi K2.5: Visual Agentic Intelligence

Kimi Team, Tongtong Bai, Yifan Bai +333

We introduce Kimi K2.5, an open-source multimodal agentic model designed to advance general agentic intelligence. K2.5 emphasizes the joint optimization of text and vision so that…

cs.CR2026

From Similarity to Vulnerability: Key Collision Attack on LLM Semantic Caching

Zhixiang Zhang, Zesen Liu, Yuchong Xie +2

Semantic caching has emerged as a pivotal technique for scaling LLM applications, widely adopted by major providers including AWS and Microsoft. By utilizing semantic embedding vec…