1 citations · 1 across the 5 of their papers we have counts for
5 papers
OPLD: On-Policy Latent Distillation for Multimodal Reasoning
Shoutai Zhu, Tianyang Xu, Bin Sun +3
Interleaved multimodal Chain-of-Thought (CoT) improves visual reasoning by incorporating auxiliary visual evidence into intermediate reasoning. However, existing approaches remain…
Cross-Modal Taxonomic Generalization in (Vision-) Language Models
Tianyang Xu, Marcelo Sandoval-Castaneda, Karen Livescu +2
What is the interplay between semantic representations learned by language models (LM) from surface form alone to those learned from more grounded evidence? We study this question…
Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models
Rong Zhou, Dongping Chen, Zihan Jia +24
Digital twins, as precise digital representations of physical systems, have evolved from passive simulation tools into intelligent and autonomous entities through the integration o…
NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
Tianyang Xu, Haojie Zheng, Chengze Li +4
Retrieval-augmented generation (RAG) empowers large language models to access external and private corpus, enabling factually consistent responses in specific domains. By exploitin…
Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination
Haojie Zheng, Tianyang Xu, Hanchi Sun +3
Multimodal large language models (MLLMs) have advanced the integration of visual and linguistic modalities, establishing themselves as the dominant paradigm for visual-language tas…