:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xin, Rihui, Liu, Han, Wang, Zecheng, Zhang, Yupeng, Sui, Dianbo, Hu, Xiaolin, Wang, Bingning
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2505.19439
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Gradients Must Earn Their Influence: Unifying SFT with Generalized Entropic Objectives
by: Wang, Zecheng, et al.
Published: (2026)

Full-ECE: A Metric For Token-level Calibration on Large Language Models
by: Liu, Han, et al.
Published: (2024)

Checkpoint Merging via Bayesian Optimization in LLM Pretraining
by: Liu, Deyuan, et al.
Published: (2024)

Beyond Confidence: The Rhythms of Reasoning in Generative Models
by: Liu, Deyuan, et al.
Published: (2026)

Base of RoPE Bounds Context Length
by: Men, Xin, et al.
Published: (2024)

Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
by: Chen, Jie, et al.
Published: (2024)

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning
by: Li, Xinye, et al.
Published: (2025)

Mitigating Gender Bias in Code Large Language Models via Model Editing
by: Qin, Zhanyue, et al.
Published: (2024)

Answer Convergence as a Signal for Early Stopping in Reasoning
by: Liu, Xin, et al.
Published: (2025)

Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning
by: Qin, Zhanyue, et al.
Published: (2026)

Ranking Large Language Models without Ground Truth
by: Dhurandhar, Amit, et al.
Published: (2024)

Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
by: Xu, Xin, et al.
Published: (2025)

Collective Reasoning Among LLMs: A Framework for Answer Validation Without Ground Truth
by: Davoudi, Seyed Pouyan Mousavi, et al.
Published: (2025)

TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning
by: Wei, Zhepei, et al.
Published: (2025)

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning?
by: Zhou, Ruochen, et al.
Published: (2025)

BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
by: Wang, Teng, et al.
Published: (2024)

Truth Neurons
by: Li, Haohang, et al.
Published: (2025)

ReverseMath: Answer Inversion for Scalable and Verifiable Mathematical Problem Generation
by: Zhao, Raoyuan, et al.
Published: (2026)

Recon, Answer, Verify: Agents in Search of Truth
by: Shukla, Satyam, et al.
Published: (2025)

DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
by: Tong, Yuxuan, et al.
Published: (2024)

MathEDU: Feedback Generation on Problem-Solving Processes for Mathematical Learning Support
by: Hsu, Wei-Ling, et al.
Published: (2025)

From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning
by: Dinucu-Jianu, David, et al.
Published: (2025)

Reinforcement Learning Problem Solving with Large Language Models
by: Gholamian, Sina, et al.
Published: (2024)

Distinctive Image Captioning: Leveraging Ground Truth Captions in CLIP Guided Reinforcement Learning
by: Chaffin, Antoine, et al.
Published: (2024)

Debating with More Persuasive LLMs Leads to More Truthful Answers
by: Khan, Akbir, et al.
Published: (2024)

Clarify or Answer: Reinforcement Learning for Agentic VQA with Context Under-specification
by: Cao, Zongwan, et al.
Published: (2026)

Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving
by: Gao, Songyang, et al.
Published: (2025)

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
by: Yang, Zhe, et al.
Published: (2024)

DARL: Encouraging Diverse Answers for General Reasoning without Verifiers
by: Huang, Chongxuan, et al.
Published: (2026)

MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
by: Zhou, Yuyan, et al.
Published: (2024)

KV Shifting Attention Enhances Language Modeling
by: Xu, Mingyu, et al.
Published: (2024)

MathLearner: A Large Language Model Agent Framework for Learning to Solve Mathematical Problems
by: Xie, Wenbei, et al.
Published: (2024)

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
by: Zhang, Zhihan, et al.
Published: (2024)

Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning
by: Chen, Zhongzhi, et al.
Published: (2023)

MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
by: Yang, Zhen, et al.
Published: (2024)

ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
by: Men, Xin, et al.
Published: (2024)

Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving
by: Zhang, Liang, et al.
Published: (2025)

Length Generalization of Causal Transformers without Position Encoding
by: Wang, Jie, et al.
Published: (2024)

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
by: Lee, Jung Hyun, et al.
Published: (2024)

Mathematical Formalized Problem Solving and Theorem Proving in Different Fields in Lean 4
by: Tang, Xichen
Published: (2024)