collaborators

16 papers

cs.CY2026

Uncovering Salience-Driven Dynamics in Consumer Confidence with Generative Social Simulation

Yixu Huang, Yunlu Yin, Jiayu Lin +6

Consumer confidence is typically modeled as a persistent macroeconomic index, yet its movements arise from households that interpret economic information through heterogeneous cons…

cs.CL2026

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling

Changze Lv, Zhenghua Wang, Yiran Ding +9

Large Language Models (LLMs) still struggle with the ``lost-in-the-middle'' problem, where critical information located in the middle of long-context inputs is often underrepresent…

cs.CL2026

LegalWorld: A Life-Cycle Interactive Environment for Legal Agents

Songhan Zuo, Shengbin Yue, Tao Chiang +4

Civil litigation is inherently a life-cycle process: what a lawyer drafts on day one constrains what unfolds at trial months later. Yet existing legal benchmarks evaluate isolated…

cs.CV2026

LIBERO-Occ: Evaluating and Improving Vision-Language-Action Models under Scene-Induced Occlusion via Viewpoint Imagination

Taishan Li, Jiwen Zhang, Siyuan Wang +2

Vision-Language-Action (VLA) models achieve strong performance on standard manipulation benchmarks, but most evaluations assume that task-relevant objects are fully visible. This a…

cs.CL2026

CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs

Liang Wang, Xinyi Mou, Xiaoyou Liu +2

User modeling characterizes individuals through their preferences and behavioral patterns to enable personalized simulation and generation with Large Language Models (LLMs) in cont…

cs.CV2026

MoIIE: Mixture of Intra- and Inter-Modality Experts for Large Vision Language Models

Dianyi Wang, Siyuan Wang, Zejun Li +6

Large Vision-Language Models (LVLMs) have demonstrated remarkable performance across multi-modal tasks by scaling model size and training data. However, these dense LVLMs incur sig…