collaborators

13 papers

cs.LG2026

Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks

Mengyu Zheng, Kai Han, Boxun Li +13

General-purpose agents such as OpenClaw are increasingly used as autonomous tool users, but their coding ability is difficult to measure under SWE-bench: a generic agent does not b…

cs.CV2026

Adversarial Error Correction for Visual Autoregressive Generation

Ligong Bi, Tao Huang, Jianyuan Guo +1

Visual Autoregressive (VAR) models have emerged as a powerful paradigm for image synthesis by performing hierarchical next-scale prediction. However, VAR models are inherently pron…

cs.MA2026

Sibyl-AutoResearch: Autonomous Research Needs Self-Evolving Trial-and-Error Harnesses, Not Paper Generators

Chengcheng Wang, Qinhua Xie, Wei He +3

Autonomous research systems increasingly make the scientific workflow executable: agents can propose ideas, run code, inspect results, and draft papers. But executable workflows do…

cs.CV2026

Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models

Chengcheng Wang, Jianyuan Guo, Hongguang Li +4

Rotary Position Embedding (RoPE) is widely adopted in large language models, but when applied to vision-language models (VLMs) it couples text and image position indices and can in…

cs.CV2026

LCGNav: Local Candidate-Aware Geometric Enhancement for General Topological Planning in Vision-Language Navigation

Jiankun Peng, Jianyuan Guo, Yiguang Yang +3

Online topological planning has become an effective paradigm for Vision-Language Navigation in Continuous Environments (VLN-CE), but existing methods still suffer from two limitati…

cs.IR2026

ADSeeker: A Knowledge-Grounded Reasoning Framework for Industry Anomaly Detection and Reasoning

Kai Zhang, Zekai Zhang, Xihe Sun +6

Automatic vision inspection holds significant importance in industry inspection. While multimodal large language models (MLLMs) exhibit strong language understanding capabilities a…