1 citations · 1 across the 2 of their papers we have counts for
6 papers
Listen, Pause, and Reason: Toward Perception-Grounded Hybrid Reasoning for Audio Understanding
Jieyi Wang, Yazhe Niu, Dexuan Xu +1
Recent Large Audio Language Models have demonstrated impressive capabilities in audio understanding. However, they often suffer from perceptual errors, while reliable audio reasoni…
TreeTensor: Boost AI System on Nested Data with Constrained Tree-Like Tensor
Shaoang Zhang, Yazhe Niu
Tensor is the most basic and essential data structure of nowadays artificial intelligence (AI) system. The natural properties of Tensor, especially the memory-continuity and slice-…
MetaphorStar: Image Metaphor Understanding and Reasoning with End-to-End Visual Reinforcement Learning
Chenhao Zhang, Yazhe Niu, Hongsheng Li
Metaphorical comprehension in images remains a critical challenge for Nowadays AI systems. While Multimodal Large Language Models (MLLMs) excel at basic Visual Question Answering (…
CoTZero: Annotation-Free Human-Like Vision Reasoning via Hierarchical Synthetic CoT
Chengyi Du, Yazhe Niu, Dazhong Shen +1
Recent advances in vision-language models (VLMs) have markedly improved image-text alignment, yet they still fall short of human-like visual reasoning. A key limitation is that man…
Let Androids Dream of Electric Sheep: A Human-Inspired Image Implication Understanding and Reasoning Framework
Chenhao Zhang, Yazhe Niu
Metaphorical comprehension in images remains a critical challenge for AI systems, as existing models struggle to grasp the nuanced cultural, emotional, and contextual implications…
Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning
Haiming Wang, Mert Unsal, Xiaohan Lin +37
We introduce Kimina-Prover Preview, a large language model that pioneers a novel reasoning-driven exploration paradigm for formal theorem proving, as showcased in this preview rele…