most citedMol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

MolViBench: Evaluating LLMs on Molecular Vibe Coding

Jiatong Li, Yuxuan Ren, Weida Wang +4

Molecular Vibe Coding, a paradigm where chemists interact with LLMs to generate executable programs for molecular tasks, has emerged as a flexible alternative to chemical agents wi…

cs.AI2025

Hybrid-DMKG: A Hybrid Reasoning Framework over Dynamic Multimodal Knowledge Graphs for Multimodal Multihop QA with Knowledge Editing

Li Yuan, Qingfei Huang, Bingshan Zhu +5

Multimodal Knowledge Editing (MKE) extends traditional knowledge editing to settings involving both textual and visual modalities. However, existing MKE benchmarks primarily assess…

cs.AI2025

Multi-agent Undercover Gaming: Hallucination Removal via Counterfactual Test for Multimodal Reasoning

Dayong Liang, Xiao-Yong Wei, Changmeng Zheng

Hallucination continues to pose a major obstacle in the reasoning capabilities of large language models (LLMs). Although the Multi-Agent Debate (MAD) paradigm offers a promising so…

cs.CL20251 cited

Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery

Jiatong Li, Weida Wang, Qinggang Zhang +6

Large language models (LLMs), especially Explicit Long Chain-of-Thought (CoT) reasoning models like DeepSeek-R1 and QWQ, have demonstrated powerful reasoning capabilities, achievin…

cs.CV2025

Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning

Dayong Liang, Changmeng Zheng, Zhiyuan Wen +3

Traditional scene graphs primarily focus on spatial relationships, limiting vision-language models' (VLMs) ability to reason about complex interactions in visual scenes. This paper…