Cover Image

LEMMA: Learning from Errors for MatheMatical Advancement in LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pan, Zhuoshi, Li, Yu, Lin, Honglin, Pei, Qizhi, Tang, Zinan, Wu, Wei, Ming, Chenlin, Zhao, H. Vicky, He, Conghui, Wu, Lijun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
by: Pei, Qizhi, et al.
Published: (2025)

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once
by: Pan, Zhuoshi, et al.
Published: (2025)

ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning
by: Pei, Qizhi, et al.
Published: (2025)

A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis
by: Gao, Xin, et al.
Published: (2025)

Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
by: Tang, Zinan, et al.
Published: (2025)

MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
by: Lin, Honglin, et al.
Published: (2025)

Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
by: Lin, Honglin, et al.
Published: (2025)

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment
by: Ming, Chenlin, et al.
Published: (2025)

CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges
by: Li, Yu, et al.
Published: (2025)

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning
by: Li, Yu, et al.
Published: (2025)

Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs
by: Li, Yu, et al.
Published: (2026)

OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value
by: Cai, Mengzhang, et al.
Published: (2025)

Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility
by: Lin, Honglin, et al.
Published: (2026)

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
by: Liu, Zheng, et al.
Published: (2026)

InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior
by: Wang, Huisheng, et al.
Published: (2025)

Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training
by: Cao, Chuxue, et al.
Published: (2026)

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation
by: Gao, Kaiyuan, et al.
Published: (2024)

3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
by: Pei, Qizhi, et al.
Published: (2024)

LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation
by: Xuan, Keyang, et al.
Published: (2024)

MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
by: Lin, Honglin, et al.
Published: (2026)

LEMMA: Laplacian pyramids for Efficient Marine SeMAntic Segmentation
by: Gakhar, Ishaan, et al.
Published: (2026)

Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors
by: Pei, Qizhi, et al.
Published: (2024)

Lightweight and Interpretable Transformer via Mixed Graph Algorithm Unrolling for Traffic Forecast
by: Qi, Ji, et al.
Published: (2025)

From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
by: Pan, Zhuoshi, et al.
Published: (2023)

BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
by: Pei, Qizhi, et al.
Published: (2023)

Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights
by: Tian, Juanxi, et al.
Published: (2025)

Data for: A transferable framework for distributed BECCS offers prioritized deployability across geographies and policy contexts
by: Wei, Chenlin
Published: (2026)

On Memory Construction and Retrieval for Personalized Conversational Agents
by: Pan, Zhuoshi, et al.
Published: (2025)

Conformalized Multiple Testing under Unknown Null Distribution with Symmetric Errors
by: Tian, Yang, et al.
Published: (2025)

Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates
by: Gao, Kaiyuan, et al.
Published: (2024)

TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
by: Wu, Wei, et al.
Published: (2024)

The $L^{\infty}$ estimate for parabolic complex Monge-Ampère equations
by: Zhao, Qizhi
Published: (2023)

Decouple to Generalize: Context-First Self-Evolving Learning for Data-Scarce Vision-Language Reasoning
by: Li, Tingyu, et al.
Published: (2025)

LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis
by: Zheng, Lecheng, et al.
Published: (2024)

CoinMath: Harnessing the Power of Coding Instruction for Math LLMs
by: Wei, Chengwei, et al.
Published: (2024)

Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets
by: Gao, Xin, et al.
Published: (2025)

Zbornik Matice Srpske za Prirodne Nauke
Published: (2010)

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
by: Pan, Zhuoshi, et al.
Published: (2024)

Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs
by: Mukherjee, Sagnik, et al.
Published: (2025)

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents
by: Zhao, Yilun, et al.
Published: (2023)