collaborators

34 papers

cs.CR2026

HarnessRisk: A Lifecycle-Oriented Benchmark for Agent Harness Safety

Yajing Bai, Jinhao Duan, Jie Peng +4

Large language models are increasingly deployed through agent harnesses that manage tools, extensions, persistent state, permissions, and external actions. Existing safety benchmar…

cs.IR2026

Diffusion-GR2: Diffusion Generative Reasoning Re-ranker

Zhuoxuan Zhang, Kangqi Ni, Yuhang Chen +12

Generative reasoning re-rankers achieve strong recommendation accuracy by emitting a chain-of-thought before re-ordering a candidate list, but they are slow at inference: an autore…

quant-ph2026

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Jiun-Cheng Jiang, Morris Yu-Chao Huang, Tianlong Chen +1

Variational quantum circuits (VQCs) are central to quantum machine learning, while recent progress in Kolmogorov-Arnold networks (KANs) highlights the power of learnable activation…

cs.CL2026

Generative Skill Composition for LLM Agents

Xinyu Zhao, Zhen Tan, Vaishnav Tadiparthi +5

Recent LLM agents benefit from skills for solving complex tasks. Skills encapsulate modular packages of procedural knowledge and instructions for performing specialized tasks, such…

cs.IR2026

End-to-End Dynamic Sparsity for Resource-Adaptive LLM Inference

Yuhang Chen, Jinhao Duan, Ruichen Zhang +11

Large Language Models (LLMs) inference is typically deployed under a static resource assumption, where models execute a fixed computational graph regardless of the runtime environm…

cs.IR2026

Bifocal Diffusion Language Models: Asymmetric Bidirectional Context for Parallel Generation

Yuhang Chen, Xianfeng Wu, Jinhao Duan +11

Discrete diffusion language models (dLLMs) recover masked tokens in parallel, offering significant speedups over autoregressive (AR) generation. However, such promising frameworks…