activity
20242026
collaborators

7 papers

cs.AI2026

: Reliable, Efficient, and Auditable LLM Safeguards via Latent Reasoning

Zhinan Liu, Jie Li, Mingyu Kang +1

Reasoning-based large language model (LLM) safeguards improve safety classification accuracy by generating explicit rationales before making decisions. However, generating explicit…

cs.LG2026

SafeNeuron: Neuron-Level Safety Alignment for Large Language Models

Zhaoxin Wang, Jiaming Liang, Fengbin Zhu +5

Large language models (LLMs) and multimodal LLMs are typically safety-aligned before release to prevent harmful content generation. However, recent studies show that safety behavio…

cs.CV2026

JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation

Kai Liu, Jungang Li, Yuchong Sun +13

This paper presents JavisGPT, the first unified multimodal large language model (MLLM) for joint audio-video (JAV) comprehension and generation. JavisGPT has a concise encoder-LLM-…

cs.CV2025

MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites

Zhenxin Lei, Zhangwei Gao, Changyao Tian +12

Generalist visual captioning goes beyond a simple appearance description task, but requires integrating a series of visual cues into a caption and handling various visual domains.…

cs.CL2025

Training-Free Multimodal Large Language Model Orchestration

Tianyu Xie, Yuexiao Ma, Yuhang Wu +5

Building interactive omni-modal assistants often relies on end-to-end multimodal alignment to fuse heterogeneous modalities, which incurs substantial data and compute costs and lim…

cs.CV2025

JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization

Kai Liu, Wei Li, Lai Chen +8

This paper introduces JavisDiT, a novel Joint Audio-Video Diffusion Transformer designed for synchronized audio-video generation (JAVG). Based on the powerful Diffusion Transformer…

cs.CV2024

Synergistic Dual Spatial-aware Generation of Image-to-Text and Text-to-Image

Yu Zhao, Hao Fei, Xiangtai Li +6

In the visual spatial understanding (VSU) area, spatial image-to-text (SI2T) and spatial text-to-image (ST2I) are two fundamental tasks that appear in dual form. Existing methods f…