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.CV2026

DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images

Ke Wu, Yanan Zhang, Yingjie Gao +5

Object detection for Unmanned Aerial Vehicles (UAVs) working in open and dynamic environments is a highly challenging task. While Vision-Language Models (VLMs) have offered a power…

cs.RO2026

VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model

Wenhao Li, Xiu Su, Yichao Cao +5

Vision-Language-Action (VLA) models have demonstrated remarkable capabilities and generalization in embodied manipulation. However, their decision-making relies on a fast, instinct…

cs.RO2026

Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery

Wenhao Li, Xiu Su, Dan Niu +6

Vision-language-action (VLA) models have advanced the field of embodied manipulation by harnessing broad world knowledge and strong generalization. However, current VLA models stil…

cs.CV2026

Visual Prototype Conditioned Focal Region Generation for UAV-Based Object Detection

Wenhao Li, Zimeng Wu, Yu Wu +2

Unmanned aerial vehicle (UAV) based object detection is a critical but challenging task, when applied in dynamically changing scenarios with limited annotated training data. Layout…

cs.LG2025

Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving Distillation

Wenhao Li, Xiu Su, Jingyi Wu +5

Large Vision-Language Models (LVLMs) have demonstrated remarkable advancements in numerous areas such as multimedia. However, hallucination issues significantly limit their credibi…