Saved in:
| Main Authors: | Wang, Jingyun, Li, Dian, Wang, Xiaohan, Liu, Gang, Yan, Jiahong, Kang, Guoliang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.21164 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team
by: Yu, Weilun, et al.
Published: (2025)
by: Yu, Weilun, et al.
Published: (2025)
LiveK12Bench: Have Large Multimodal Models Truly Conquered High School-level Examinations?
by: Wang, Xiaohan, et al.
Published: (2026)
by: Wang, Xiaohan, et al.
Published: (2026)
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps
by: Wang, Han, et al.
Published: (2024)
by: Wang, Han, et al.
Published: (2024)
The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models
by: Renze, Matthew, et al.
Published: (2024)
by: Renze, Matthew, et al.
Published: (2024)
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
by: Zhang, Jiawei, et al.
Published: (2024)
by: Zhang, Jiawei, et al.
Published: (2024)
Separate Motion from Appearance: Customizing Motion via Customizing Text-to-Video Diffusion Models
by: Liu, Huijie, et al.
Published: (2025)
by: Liu, Huijie, et al.
Published: (2025)
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
by: Zhang, Gengwei, et al.
Published: (2024)
by: Zhang, Gengwei, et al.
Published: (2024)
Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
by: Ge, Yuyao, et al.
Published: (2024)
by: Ge, Yuyao, et al.
Published: (2024)
Bridging Geometric States via Geometric Diffusion Bridge
by: Luo, Shengjie, et al.
Published: (2024)
by: Luo, Shengjie, et al.
Published: (2024)
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
by: Xiao, Tong, et al.
Published: (2024)
by: Xiao, Tong, et al.
Published: (2024)
Learning to Solve Compositional Geometry Routing Problems
by: Fan, Mingfeng, et al.
Published: (2026)
by: Fan, Mingfeng, et al.
Published: (2026)
FormalGeo: An Extensible Formalized Framework for Olympiad Geometric Problem Solving
by: Zhang, Xiaokai, et al.
Published: (2023)
by: Zhang, Xiaokai, et al.
Published: (2023)
LANS: A Layout-Aware Neural Solver for Plane Geometry Problem
by: Li, Zhong-Zhi, et al.
Published: (2023)
by: Li, Zhong-Zhi, et al.
Published: (2023)
Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from Diagram
by: Zhang, Ming-Liang, et al.
Published: (2024)
by: Zhang, Ming-Liang, et al.
Published: (2024)
MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation
by: Wang, Xiaohan, et al.
Published: (2024)
by: Wang, Xiaohan, et al.
Published: (2024)
Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search
by: Wu, Songhao, et al.
Published: (2025)
by: Wu, Songhao, et al.
Published: (2025)
AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning
by: Ping, Bowen, et al.
Published: (2025)
by: Ping, Bowen, et al.
Published: (2025)
Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
by: Zhang, Fanrui, et al.
Published: (2025)
by: Zhang, Fanrui, et al.
Published: (2025)
A Survey of Deep Learning for Geometry Problem Solving
by: Ma, Jianzhe, et al.
Published: (2025)
by: Ma, Jianzhe, et al.
Published: (2025)
Solving General Natural-Language-Description Optimization Problems with Large Language Models
by: Zhang, Jihai, et al.
Published: (2024)
by: Zhang, Jihai, et al.
Published: (2024)
LeanGeo: Formalizing Competitional Geometry problems in Lean
by: Song, Chendong, et al.
Published: (2025)
by: Song, Chendong, et al.
Published: (2025)
Solving LLM Repetition Problem in Production: A Comprehensive Study of Multiple Solutions
by: Wang, Weiwei, et al.
Published: (2025)
by: Wang, Weiwei, et al.
Published: (2025)
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving
by: Zhang, Jiaxin, et al.
Published: (2024)
by: Zhang, Jiaxin, et al.
Published: (2024)
Concise Reasoning in the Lens of Lagrangian Optimization
by: Gao, Chengqian, et al.
Published: (2025)
by: Gao, Chengqian, 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)
GOLD: Geometry Problem Solver with Natural Language Description
by: Zhang, Jiaxin, et al.
Published: (2024)
by: Zhang, Jiaxin, et al.
Published: (2024)
GACO-CAD: Geometry-Augmented and Conciseness-Optimized CAD Model Generation from Single Image
by: Wang, Yinghui, et al.
Published: (2025)
by: Wang, Yinghui, et al.
Published: (2025)
EngiAgent: Fully Connected Coordination of LLM Agents for Solving Open-ended Engineering Problems with Feasible Solutions
by: Zhou, Xiyuan, et al.
Published: (2026)
by: Zhou, Xiyuan, et al.
Published: (2026)
Multi-LLM Collaborative Search for Complex Problem Solving
by: Yang, Sen, et al.
Published: (2025)
by: Yang, Sen, et al.
Published: (2025)
FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients
by: Wen, Tian, et al.
Published: (2026)
by: Wen, Tian, et al.
Published: (2026)
Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI
by: Ye, Dayong, et al.
Published: (2025)
by: Ye, Dayong, et al.
Published: (2025)
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
by: Li, Qinglun, et al.
Published: (2024)
by: Li, Qinglun, et al.
Published: (2024)
Improving Multimodal LLMs Ability In Geometry Problem Solving, Reasoning, And Multistep Scoring
by: Anand, Avinash, et al.
Published: (2024)
by: Anand, Avinash, et al.
Published: (2024)
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
by: Xu, Xin, et al.
Published: (2025)
by: Xu, Xin, et al.
Published: (2025)
SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Hologram Reasoning for Solving Algebra Problems with Geometry Diagrams
by: Huang, Litian, et al.
Published: (2024)
by: Huang, Litian, et al.
Published: (2024)
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
by: Zhang, Lei, et al.
Published: (2023)
by: Zhang, Lei, et al.
Published: (2023)
Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural Integration
by: Pan, Yicheng, et al.
Published: (2025)
by: Pan, Yicheng, et al.
Published: (2025)
Beyond Reactivity: Measuring Proactive Problem Solving in LLM Agents
by: Pasternak, Gil, et al.
Published: (2025)
by: Pasternak, Gil, et al.
Published: (2025)
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost
by: Nayab, Sania, et al.
Published: (2024)
by: Nayab, Sania, et al.
Published: (2024)
Similar Items
-
Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team
by: Yu, Weilun, et al.
Published: (2025) -
LiveK12Bench: Have Large Multimodal Models Truly Conquered High School-level Examinations?
by: Wang, Xiaohan, et al.
Published: (2026) -
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps
by: Wang, Han, et al.
Published: (2024) -
The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models
by: Renze, Matthew, et al.
Published: (2024) -
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
by: Zhang, Jiawei, et al.
Published: (2024)