M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Qiguang, Qin, Libo, Zhang, Jin, Chen, Zhi, Xu, Xiao, Che, Wanxiang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
by: Cheng, Zihui, et al.
Published: (2024)
by: Cheng, Zihui, et al.
Published: (2024)
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration
by: Qin, Libo, et al.
Published: (2024)
by: Qin, Libo, et al.
Published: (2024)
Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought
by: Cheng, Zihui, et al.
Published: (2025)
by: Cheng, Zihui, et al.
Published: (2025)
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought
by: Chen, Qiguang, et al.
Published: (2024)
by: Chen, Qiguang, et al.
Published: (2024)
ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models
by: Zhang, Yongheng, et al.
Published: (2025)
by: Zhang, Yongheng, et al.
Published: (2025)
RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning
by: Chen, Qiguang, et al.
Published: (2025)
by: Chen, Qiguang, et al.
Published: (2025)
AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought
by: Zhang, Yongheng, et al.
Published: (2024)
by: Zhang, Yongheng, et al.
Published: (2024)
MPCC: A Novel Benchmark for Multimodal Planning with Complex Constraints in Multimodal Large Language Models
by: Ji, Yiyan, et al.
Published: (2025)
by: Ji, Yiyan, et al.
Published: (2025)
OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model
by: Chen, Qiguang, et al.
Published: (2026)
by: Chen, Qiguang, et al.
Published: (2026)
Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models
by: Xu, Xiao, et al.
Published: (2024)
by: Xu, Xiao, et al.
Published: (2024)
Beware of Reasoning Overconfidence: Pitfalls in the Reasoning Process for Multi-solution Tasks
by: Guan, Jiannan, et al.
Published: (2025)
by: Guan, Jiannan, et al.
Published: (2025)
Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs
by: Xu, Xiao, et al.
Published: (2025)
by: Xu, Xiao, et al.
Published: (2025)
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
by: Jiang, Dongzhi, et al.
Published: (2025)
by: Jiang, Dongzhi, et al.
Published: (2025)
Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)
by: Chen, Qiguang, et al.
Published: (2025)
ESTR-CoT: Towards Explainable and Accurate Event Stream based Scene Text Recognition with Chain-of-Thought Reasoning
by: Wang, Xiao, et al.
Published: (2025)
by: Wang, Xiao, et al.
Published: (2025)
Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning
by: Lee, Daeun, et al.
Published: (2025)
by: Lee, Daeun, et al.
Published: (2025)
EFT-CoT: A Multi-Agent Chain-of-Thought Framework for Emotion-Focused Therapy
by: Du, Lanqing, et al.
Published: (2026)
by: Du, Lanqing, et al.
Published: (2026)
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought
by: Kumari, Gitanjali, et al.
Published: (2024)
by: Kumari, Gitanjali, et al.
Published: (2024)
TIBSTC-CoT: A Multi-Domain Instruction Dataset for Chain-of-Thought Reasoning in Language Models
by: Gao, Fan, et al.
Published: (2025)
by: Gao, Fan, et al.
Published: (2025)
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
by: Chen, Zhi, et al.
Published: (2024)
by: Chen, Zhi, et al.
Published: (2024)
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information
by: Zhang, Yongheng, et al.
Published: (2024)
by: Zhang, Yongheng, et al.
Published: (2024)
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)
by: Chen, Qiguang, et al.
Published: (2025)
ChartREG++: Towards Benchmarking and Improving Chart Referring Expression Grounding under Diverse referring clues and Multi-Target Referring
by: Niu, Tianhao, et al.
Published: (2026)
by: Niu, Tianhao, et al.
Published: (2026)
The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning
by: Chen, Qiguang, et al.
Published: (2026)
by: Chen, Qiguang, et al.
Published: (2026)
$π$-CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-Answering
by: Wan, Chao, et al.
Published: (2025)
by: Wan, Chao, et al.
Published: (2025)
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning
by: Shao, Hao, et al.
Published: (2024)
by: Shao, Hao, et al.
Published: (2024)
The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning
by: Zheng, Tianshi, et al.
Published: (2025)
by: Zheng, Tianshi, et al.
Published: (2025)
A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification
by: Feng, Yunlong, et al.
Published: (2023)
by: Feng, Yunlong, et al.
Published: (2023)
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning
by: Hu, Tianxiang, et al.
Published: (2024)
by: Hu, Tianxiang, et al.
Published: (2024)
Let's Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts
by: Liu, Xu, et al.
Published: (2026)
by: Liu, Xu, et al.
Published: (2026)
Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers
by: Qin, Libo, et al.
Published: (2024)
by: Qin, Libo, et al.
Published: (2024)
CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific Reasoning
by: Feng, Kehua, et al.
Published: (2025)
by: Feng, Kehua, et al.
Published: (2025)
S3-CoT: Self-Sampled Succinct Reasoning Enables Efficient Chain-of-Thought LLMs
by: Du, Yanrui, et al.
Published: (2026)
by: Du, Yanrui, et al.
Published: (2026)
Investigating Inference-time Scaling for Chain of Multi-modal Thought: A Preliminary Study
by: Lin, Yujie, et al.
Published: (2025)
by: Lin, Yujie, et al.
Published: (2025)
Pro-HAN: A Heterogeneous Graph Attention Network for Profile-Based Spoken Language Understanding
by: Teng, Dechuan, et al.
Published: (2024)
by: Teng, Dechuan, et al.
Published: (2024)
CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding
by: Qin, Libo, et al.
Published: (2024)
by: Qin, Libo, et al.
Published: (2024)
Electronic Circuit Principles of Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)
by: Chen, Qiguang, et al.
Published: (2025)
SurvAgent: Hierarchical CoT-Enhanced Case Banking and Dichotomy-Based Multi-Agent System for Multimodal Survival Prediction
by: Huang, Guolin, et al.
Published: (2025)
by: Huang, Guolin, et al.
Published: (2025)
Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Extreme Reasoning Efficiency in Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)
by: Chen, Qiguang, et al.
Published: (2025)
SIM-CoT: Supervised Implicit Chain-of-Thought
by: Wei, Xilin, et al.
Published: (2025)
by: Wei, Xilin, et al.
Published: (2025)
Similar Items
-
CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
by: Cheng, Zihui, et al.
Published: (2024) -
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration
by: Qin, Libo, et al.
Published: (2024) -
Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought
by: Cheng, Zihui, et al.
Published: (2025) -
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought
by: Chen, Qiguang, et al.
Published: (2024) -
ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models
by: Zhang, Yongheng, et al.
Published: (2025)