activity
20242026
collaborators

16 papers

cs.AI2026

OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution

Le Zhang, Yixiong Xiao, Xinjiang Lu +12

Graphical User Interface (GUI) agents show great potential for enabling foundation models to complete real-world tasks, revolutionizing human-computer interaction and improving hum…

cs.SD2026

CORD: Bridging the Audio-Text Reasoning Gap via Weighted On-policy Cross-modal Distillation

Jing Hu, Danxiang Zhu, Xianlong Luo +9

Large Audio Language Models (LALMs) have garnered significant research interest. Despite being built upon text-based large language models (LLMs), LALMs frequently exhibit a degrad…

cs.CV2026

VideoAR: Autoregressive Video Generation via Next-Frame & Scale Prediction

Longbin Ji, Xiaoxiong Liu, Junyuan Shang +4

Recent advances in video generation have been dominated by diffusion and flow-matching models, which produce high-quality results but remain computationally intensive and difficult…

cs.CL2026

Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language Models

Shaoning Sun, Mingzhu Cai, Huang He +5

Language model families exhibit striking disparity in their capacity to benefit from reinforcement learning: under identical training, models like Qwen achieve substantial gains, w…

cs.SD2026

MoE Adapter for Large Audio Language Models: Sparsity, Disentanglement, and Gradient-Conflict-Free

Yishu Lei, Shuwei He, Jing Hu +9

Extending the input modality of Large Language Models~(LLMs) to the audio domain is essential for achieving comprehensive multimodal perception. However, it is well-known that acou…

cs.CV2025

V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Intervention

Nan Sun, Zhenyu Zhang, Xixun Lin +8

Multimodal Large Language Models (MLLMs) excel in numerous vision-language tasks yet suffer from hallucinations, producing content inconsistent with input visuals, that undermine r…