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20242026
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cs.AI2026

Repo2Skill-Evo: Repository Skills Go Stale in Silence

Chenyuan Duan, Ge Shi, Zineng Mao +10

Large language model (LLM) agents increasingly operate over evolving software repositories, where success depends on repository-specific procedural knowledge: which APIs to call, w…

cs.AI2026

PolyWorkBench: Benchmarking LLM Agents for Cross-Lingual Long-Horizon Workflows

Hongliang Li, Yijin Liu, Zhiwei Zhang +5

While Large Language Model (LLM) agents excel at monolingual long-horizon planning and tool use, enterprise workflows inherently require processing multilingual resources across ex…

cs.CL2026

Beyond English: Uncovering the Multilingual Gap in Vision-Language-Action Models

Hanyang Chen, Hongliang Li, Jiarui Cao +6

Vision-Language-Action models have recently demonstrated promising capabilities in learning generalist robot policies from large-scale multimodal data. However, most existing VLA s…

cs.CL2026

Multi-Aspect Knowledge Distillation for Language Model with Low-rank Factorization

Zihe Liu, Yulong Mao, Jinan Xu +2

Knowledge distillation is an effective technique for pre-trained language model compression. However, existing methods only focus on the knowledge distribution among layers, which…

cs.CL2026

Imagination Helps Visual Reasoning, But Not Yet in Latent Space

You Li, Chi Chen, Yanghao Li +4

Latent visual reasoning aims to mimic human's imagination process by meditating through hidden states of Multimodal Large Language Models. While recognized as a promising paradigm…

cs.AI2026

Workflow-R1: Group Sub-sequence Policy Optimization for Multi-turn Workflow Construction

Mingze Kong, Zikun Qu, Zhongquan Zhou +7

The rapid evolution of agentic workflows has demonstrated strong performance of LLM-based agents in addressing complex reasoning tasks. However, existing workflow optimization meth…

cs.CL2026

When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life

Xinyue Lou, Jinan Xu, Jingyi Yin +8

As Multimodal Large Language Models (MLLMs) become an indispensable assistant in human life, the unsafe content generated by MLLMs poses a danger to human behavior, perpetually ove…