collaborators

6 papers

cs.CL2026

TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding

Chengcheng Wang, Tingzhang Luo, Wenhao Li +2

Diffusion language models (DLLMs) generate text by iteratively denoising masked positions, exposing a trajectory of predictive distributions rather than a single instantaneous beli…

cs.AI2026

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…

cs.CL2026

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…

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…