5 papers
Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis
Hongbo Jin, Mingnan Zhu, Jingqi Tian +6
While LLMs excel at reasoning over prompts using static pretrained knowledge, they struggle significantly with context learning-the ability to dynamically extract, internalize, and…
Sonic4D: Spatial Audio Generation for Immersive 4D Scene Exploration
Siyi Xie, Hanxin Zhu, Xinyi Chen +3
Recent advancements in 4D generation have demonstrated its remarkable capability in synthesizing photorealistic renderings of dynamic 3D scenes. However, despite achieving impressi…
TIR-Flow: Active Video Search and Reasoning with Frozen VLMs
Hongbo Jin, Siyi Xie, Jiayu Ding +2
While Large Video-Language Models (Video-LLMs) have achieved remarkable progress in perception, their reasoning capabilities remain a bottleneck. Existing solutions typically resor…
VISTA: Mitigating Semantic Inertia in Video-LLMs via Training-Free Dynamic Chain-of-Thought Routing
Hongbo Jin, Jiayu Ding, Siyi Xie +2
Recent advancements in Large Language Models have successfully transitioned towards System 2 reasoning, yet applying these paradigms to video understanding remains challenging. Whi…
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
Weixiang Zhang, Shuzhao Xie, Chengwei Ren +5
We propose EVOlutionary Selector (EVOS), an efficient training paradigm for accelerating Implicit Neural Representation (INR). Unlike conventional INR training that feeds all sampl…