59 citations · 99 across the 11 of their papers we have counts for
6 papers · 1 filter
Concertina: Embodying Manipulation and Cognition in One Diffusion Vision-Language Model
Chengcheng Wang, Wei He, Wenhao Li +4
Most vision-language-action (VLA) policies decouple manipulation from cognition by bolting an external action mechanism onto a vision-language model (VLM)--either quantizing action…
TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding
Chengcheng Wang, Tingzhang Luo, Wenhao Li +2
Diffusion language models predict many masked positions at each denoising step, but their efficiency and output quality depend on which predictions enter the evolving context. Conf…
From Question Answering to Task Completion: A Survey on Agent System and Harness Design
Jianyuan Guo, Zhiwei Hao, Chengcheng Wang +14
LLM-based agents mark a shift from passive question answering to active task completion: they perceive environments, invoke tools, maintain state, and act over extended horizons. A…
Retrieval-Augmented Linguistic Calibration
Yi-Fan Yeh, Linwei Tao, Minjing Dong +4
Linguistic cues such as "I believe" and "probably" offer an intuitive interface for communicating confidence, yet a generalisable, principled calibration framework for linguistic c…
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…
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…