collaborators

11 papers

cs.AI2026

LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing

Hao Li, Yiqun Zhang, Zhaoyan Guo +9

Large language model (LLM) routing assigns each query to the most suitable model from an ensemble. We introduce LLMRouterBench, a large-scale benchmark and unified framework for LL…

cs.CR2026

How Real is Your Jailbreak? Fine-grained Jailbreak Evaluation with Anchored Reference

Songyang Liu, Chaozhuo Li, Rui Pu +5

Jailbreak attacks present a significant challenge to the safety of Large Language Models (LLMs), yet current automated evaluation methods largely rely on coarse classifications tha…

cs.CL2026

LANCET: Neural Intervention via Structural Entropy for Mitigating Faithfulness Hallucinations in LLMs

Chenxu Wang, Chaozhuo Li, Pengbo Wang +7

Large Language Models have revolutionized information processing, yet their reliability is severely compromised by faithfulness hallucinations. While current approaches attempt to…

cs.LG2025

ICL-Router: In-Context Learned Model Representations for LLM Routing

Chenxu Wang, Hao Li, Yiqun Zhang +6

Large language models (LLMs) often exhibit complementary strengths. Model routing harnesses these strengths by dynamically directing each query to the most suitable model, given a…

cs.AI2025

Learning Compact Representations of LLM Abilities via Item Response Theory

Jianhao Chen, Chenxu Wang, Gengrui Zhang +5

Recent years have witnessed a surge in the number of large language models (LLMs), yet efficiently managing and utilizing these vast resources remains a significant challenge. In t…

cs.AI2025

PerPilot: Personalizing VLM-based Mobile Agents via Memory and Exploration

Xin Wang, Zhiyao Cui, Hao Li +10

Vision language model (VLM)-based mobile agents show great potential for assisting users in performing instruction-driven tasks. However, these agents typically struggle with perso…