collaborators

6 papers

cs.LG2026

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models

Jiaoyang Ruan, Xin Gao, Yinda Chen +5

While Diffusion Large Language Models (dLLMs) offer structural advantages for global planning, efficiently verifying that they arrive at correct answers via valid reasoning traces…

cs.CV2026

MAIN-VLA: Modeling Abstraction of Intention and eNvironment for Vision-Language-Action Models

Zheyuan Zhou, Liang Du, Zixun Sun +5

Despite significant progress in Visual-Language-Action (VLA), in highly complex and dynamic environments that involve real-time unpredictable interactions (such as 3D open worlds a…

cs.CL2025

FURINA: Free from Unmergeable Router via LINear Aggregation of mixed experts

Jiayi Han, Liang Du, Yinda Chen +3

The Mixture of Experts (MoE) paradigm has been successfully integrated into Low-Rank Adaptation (LoRA) for parameter-efficient fine-tuning (PEFT), delivering performance gains with…

cs.CV2025

CAD-Judge: Toward Efficient Morphological Grading and Verification for Text-to-CAD Generation

Zheyuan Zhou, Jiayi Han, Liang Du +3

Computer-Aided Design (CAD) models are widely used across industrial design, simulation, and manufacturing processes. Text-to-CAD systems aim to generate editable, general-purpose…

cs.CV2025

AdaFV: Rethinking of Visual-Language alignment for VLM acceleration

Jiayi Han, Liang Du, Yiwen Wu +3

The success of VLMs often relies on the dynamic high-resolution schema that adaptively augments the input images to multiple crops, so that the details of the images can be retaine…

cs.LG2025

SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture

Jiayi Han, Liang Du, Hongwei Du +4

Although many efforts have been made, it is still a challenge to balance the training budget, downstream performance, and the general capabilities of the LLMs in many applications.…