3 papers
cs.CL2026
Reciprocal Co-Training (RCT): Coupling Gradient-Based and Non-Differentiable Models via Reinforcement Learning
Yunshuo Tian, Akayou Kitessa, Tanuja Chitnis +1
Language models (LMs) and classical machine learning methods offer complementary strengths for predictive modeling, yet their fundamentally different representations and training p…
cs.CL2025
Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources
Weizhi Wang, Yu Tian, Linjie Yang +2
The reproduction of state-of-the-art multimodal LLM pre-training faces barriers at every stage of the pipeline, including high-quality data filtering, multimodal data mixture strat…
cs.MM2024
VMAS: Video-to-Music Generation via Semantic Alignment in Web Music Videos
Yan-Bo Lin, Yu Tian, Linjie Yang +2
We present a framework for learning to generate background music from video inputs. Unlike existing works that rely on symbolic musical annotations, which are limited in quantity a…