Saved in:
| Main Authors: | Zhao, Xuanle, Cai, Xinyuan, Cheng, Xiang, Chen, Xiuyi, Xu, Bo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.06685 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TinyChemVL: Advancing Chemical Vision-Language Models via Efficient Visual Token Reduction and Complex Reaction Tasks
by: Zhao, Xuanle, et al.
Published: (2025)
by: Zhao, Xuanle, et al.
Published: (2025)
VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation
by: Lim, Hyeonseok, et al.
Published: (2024)
by: Lim, Hyeonseok, et al.
Published: (2024)
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
by: Zhao, Bingchen, et al.
Published: (2024)
by: Zhao, Bingchen, et al.
Published: (2024)
Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models
by: Zeng, Yu, et al.
Published: (2025)
by: Zeng, Yu, et al.
Published: (2025)
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
by: Tang, Xiangru, et al.
Published: (2025)
by: Tang, Xiangru, et al.
Published: (2025)
ChemATP: A Training-Free Chemical Reasoning Framework for Large Language Models
by: Zhang, Mingxu, et al.
Published: (2025)
by: Zhang, Mingxu, et al.
Published: (2025)
ChemVA: Advancing Large Language Models on Chemical Reaction Diagrams Understanding
by: Rao, Mingyang, et al.
Published: (2026)
by: Rao, Mingyang, et al.
Published: (2026)
ChemLLM: A Chemical Large Language Model
by: Zhang, Di, et al.
Published: (2024)
by: Zhang, Di, et al.
Published: (2024)
UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs
by: Jiang, Houcheng, et al.
Published: (2026)
by: Jiang, Houcheng, et al.
Published: (2026)
VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
by: Wang, Qiuchen, et al.
Published: (2025)
by: Wang, Qiuchen, et al.
Published: (2025)
Reading or Reasoning? Format Decoupled Reinforcement Learning for Document OCR
by: Zhong, Yufeng, et al.
Published: (2025)
by: Zhong, Yufeng, et al.
Published: (2025)
Concise and Organized Perception Facilitates Reasoning in Large Language Models
by: Liu, Junjie, et al.
Published: (2023)
by: Liu, Junjie, et al.
Published: (2023)
Learning to Self-Verify Makes Language Models Better Reasoners
by: Chen, Yuxin, et al.
Published: (2026)
by: Chen, Yuxin, et al.
Published: (2026)
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
by: Huan, Maggie, et al.
Published: (2025)
by: Huan, Maggie, et al.
Published: (2025)
Understanding the Effects of Distractors on Reasoning Vision-Language Models
by: Bae, Jiyun, et al.
Published: (2025)
by: Bae, Jiyun, et al.
Published: (2025)
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
by: Jiang, Fengqing, et al.
Published: (2025)
by: Jiang, Fengqing, et al.
Published: (2025)
Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning
by: Zhou, Yuhao, et al.
Published: (2025)
by: Zhou, Yuhao, et al.
Published: (2025)
DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching
by: Xu, Zicheng, et al.
Published: (2025)
by: Xu, Zicheng, et al.
Published: (2025)
Opening the Black Box: A Survey on the Mechanisms of Multi-Step Reasoning in Large Language Models
by: Pan, Liangming, et al.
Published: (2026)
by: Pan, Liangming, et al.
Published: (2026)
TabularMath: Understanding Math Reasoning over Tables with Large Language Models
by: Tian, Shi-Yu, et al.
Published: (2025)
by: Tian, Shi-Yu, et al.
Published: (2025)
Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents
by: Shao, Chenyang, et al.
Published: (2025)
by: Shao, Chenyang, et al.
Published: (2025)
Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
by: Wang, Xinyuan, et al.
Published: (2025)
by: Wang, Xinyuan, et al.
Published: (2025)
JEEM: Vision-Language Understanding in Four Arabic Dialects
by: Kadaoui, Karima, et al.
Published: (2025)
by: Kadaoui, Karima, et al.
Published: (2025)
TDBench: A Benchmark for Top-Down Image Understanding with Reliability Analysis of Vision-Language Models
by: Hou, Kaiyuan, et al.
Published: (2025)
by: Hou, Kaiyuan, et al.
Published: (2025)
$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
by: Cai, Chengkun, et al.
Published: (2024)
by: Cai, Chengkun, et al.
Published: (2024)
SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding
by: Zhao, Runcong, et al.
Published: (2025)
by: Zhao, Runcong, et al.
Published: (2025)
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
by: Xu, Fengli, et al.
Published: (2025)
by: Xu, Fengli, et al.
Published: (2025)
Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models
by: Xiang, Bajian, et al.
Published: (2025)
by: Xiang, Bajian, et al.
Published: (2025)
Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables
by: Zhou, Yitong, et al.
Published: (2025)
by: Zhou, Yitong, et al.
Published: (2025)
A Survey on Large Language Models for Mathematical Reasoning
by: Wang, Peng-Yuan, et al.
Published: (2025)
by: Wang, Peng-Yuan, et al.
Published: (2025)
LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
by: Ye, Xinwu, et al.
Published: (2026)
by: Ye, Xinwu, et al.
Published: (2026)
LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating
by: Deng, Chao, et al.
Published: (2024)
by: Deng, Chao, et al.
Published: (2024)
LLM2: Let Large Language Models Harness System 2 Reasoning
by: Yang, Cheng, et al.
Published: (2024)
by: Yang, Cheng, et al.
Published: (2024)
MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding
by: Wu, Qinzhuo, et al.
Published: (2024)
by: Wu, Qinzhuo, et al.
Published: (2024)
LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
by: Hao, Shibo, et al.
Published: (2024)
by: Hao, Shibo, et al.
Published: (2024)
GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
by: Feng, Jiarui, et al.
Published: (2025)
by: Feng, Jiarui, et al.
Published: (2025)
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
by: Wang, Xinyi, et al.
Published: (2024)
by: Wang, Xinyi, et al.
Published: (2024)
Euclid's Gift: Enhancing Spatial Perception and Reasoning in Vision-Language Models via Geometric Surrogate Tasks
by: Lian, Shijie, et al.
Published: (2025)
by: Lian, Shijie, et al.
Published: (2025)
Understanding the Dilemma of Unlearning for Large Language Models
by: Zhang, Qingjie, et al.
Published: (2025)
by: Zhang, Qingjie, et al.
Published: (2025)
A Survey on Enhancing Causal Reasoning Ability of Large Language Models
by: Li, Xin, et al.
Published: (2025)
by: Li, Xin, et al.
Published: (2025)
Similar Items
-
TinyChemVL: Advancing Chemical Vision-Language Models via Efficient Visual Token Reduction and Complex Reaction Tasks
by: Zhao, Xuanle, et al.
Published: (2025) -
VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation
by: Lim, Hyeonseok, et al.
Published: (2024) -
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
by: Zhao, Bingchen, et al.
Published: (2024) -
Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models
by: Zeng, Yu, et al.
Published: (2025) -
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
by: Tang, Xiangru, et al.
Published: (2025)