Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Haiteng, Shen, Junhao, Zhang, Yiming, Gao, Songyang, Liu, Kuikun, Ma, Tianyou, Zheng, Fan, Lin, Dahua, Zhang, Wenwei, Chen, Kai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning
by: Shen, Junhao, et al.
Published: (2025)
by: Shen, Junhao, et al.
Published: (2025)
Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving
by: Gao, Songyang, et al.
Published: (2025)
by: Gao, Songyang, et al.
Published: (2025)
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
by: Chen, Zehui, et al.
Published: (2024)
by: Chen, Zehui, et al.
Published: (2024)
The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
by: Hua, Zhouqi, et al.
Published: (2025)
by: Hua, Zhouqi, et al.
Published: (2025)
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
by: Chen, Zehui, et al.
Published: (2023)
by: Chen, Zehui, et al.
Published: (2023)
CIBench: Evaluating Your LLMs with a Code Interpreter Plugin
by: Zhang, Chuyu, et al.
Published: (2024)
by: Zhang, Chuyu, et al.
Published: (2024)
Are Your LLMs Capable of Stable Reasoning?
by: Liu, Junnan, et al.
Published: (2024)
by: Liu, Junnan, et al.
Published: (2024)
InternLM-Law: An Open Source Chinese Legal Large Language Model
by: Fei, Zhiwei, et al.
Published: (2024)
by: Fei, Zhiwei, et al.
Published: (2024)
ANAH: Analytical Annotation of Hallucinations in Large Language Models
by: Ji, Ziwei, et al.
Published: (2024)
by: Ji, Ziwei, et al.
Published: (2024)
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
by: Lyu, Chengqi, et al.
Published: (2025)
by: Lyu, Chengqi, et al.
Published: (2025)
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
by: Gu, Yuzhe, et al.
Published: (2024)
by: Gu, Yuzhe, et al.
Published: (2024)
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models
by: Li, Rongjie, et al.
Published: (2024)
by: Li, Rongjie, et al.
Published: (2024)
Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data
by: Xia, Han, et al.
Published: (2024)
by: Xia, Han, et al.
Published: (2024)
RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy
by: Zhao, Zhonghan, et al.
Published: (2025)
by: Zhao, Zhonghan, et al.
Published: (2025)
InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
by: Ying, Huaiyuan, et al.
Published: (2024)
by: Ying, Huaiyuan, et al.
Published: (2024)
CriticEval: Evaluating Large Language Model as Critic
by: Lan, Tian, et al.
Published: (2024)
by: Lan, Tian, et al.
Published: (2024)
Neue Inschriften von Olympia
Published: (2013)
Published: (2013)
OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification
by: Wu, Zijian, et al.
Published: (2025)
by: Wu, Zijian, et al.
Published: (2025)
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark
by: Liu, Hongwei, et al.
Published: (2024)
by: Liu, Hongwei, et al.
Published: (2024)
MindSearch: Mimicking Human Minds Elicits Deep AI Searcher
by: Chen, Zehui, et al.
Published: (2024)
by: Chen, Zehui, et al.
Published: (2024)
Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks
by: Wang, Chonghua, et al.
Published: (2024)
by: Wang, Chonghua, et al.
Published: (2024)
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
by: Song, Zifan, et al.
Published: (2024)
by: Song, Zifan, et al.
Published: (2024)
Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
by: Gu, Yuzhe, et al.
Published: (2025)
by: Gu, Yuzhe, et al.
Published: (2025)
Origin-Destination Pattern Effects on Large-Scale Mixed Traffic Control via Multi-Agent Reinforcement Learning
by: Fan, Muyang, et al.
Published: (2025)
by: Fan, Muyang, et al.
Published: (2025)
Coding Triangle: How Does Large Language Model Understand Code?
by: Zhang, Taolin, et al.
Published: (2025)
by: Zhang, Taolin, et al.
Published: (2025)
Navigating the OverKill in Large Language Models
by: Shi, Chenyu, et al.
Published: (2024)
by: Shi, Chenyu, et al.
Published: (2024)
MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models
by: Ma, Siqi, et al.
Published: (2025)
by: Ma, Siqi, et al.
Published: (2025)
How Brittle is Agent Safety? Rethinking Agent Risk under Intent Concealment and Task Complexity
by: Ma, Zihan, et al.
Published: (2025)
by: Ma, Zihan, et al.
Published: (2025)
Rethinking Verification for LLM Code Generation: From Generation to Testing
by: Ma, Zihan, et al.
Published: (2025)
by: Ma, Zihan, et al.
Published: (2025)
ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs
by: Zhuo, Jingming, et al.
Published: (2024)
by: Zhuo, Jingming, et al.
Published: (2024)
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning
by: Zhang, Beichen, et al.
Published: (2025)
by: Zhang, Beichen, et al.
Published: (2025)
Empowering Large Language Model Agents through Action Learning
by: Zhao, Haiteng, et al.
Published: (2024)
by: Zhao, Haiteng, et al.
Published: (2024)
FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
by: Liu, Shudong, et al.
Published: (2025)
by: Liu, Shudong, et al.
Published: (2025)
LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models
by: Chen, Xi, et al.
Published: (2024)
by: Chen, Xi, et al.
Published: (2024)
Lifelong Learning of Large Language Model based Agents: A Roadmap
by: Zheng, Junhao, et al.
Published: (2025)
by: Zheng, Junhao, et al.
Published: (2025)
PACE: A Pragmatic Agent for Enhancing Communication Efficiency Using Large Language Models
by: Li, Jiaxuan, et al.
Published: (2024)
by: Li, Jiaxuan, et al.
Published: (2024)
Non-myopic Generation of Language Models for Reasoning and Planning
by: Ma, Chang, et al.
Published: (2024)
by: Ma, Chang, et al.
Published: (2024)
InternLM2.5-StepProver: Advancing Automated Theorem Proving via Critic-Guided Search
by: Wu, Zijian, et al.
Published: (2024)
by: Wu, Zijian, et al.
Published: (2024)
Similar Items
-
Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning
by: Shen, Junhao, et al.
Published: (2025) -
Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving
by: Gao, Songyang, et al.
Published: (2025) -
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
by: Chen, Zehui, et al.
Published: (2024) -
The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
by: Hua, Zhouqi, et al.
Published: (2025) -
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
by: Chen, Zehui, et al.
Published: (2023)