ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Pei, Qizhi, Pan, Zhuoshi, Lin, Honglin, Gao, Xin, Li, Yu, Tang, Zinan, He, Conghui, Yan, Rui, Wu, Lijun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
by: Lin, Honglin, et al.
Published: (2025)
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)
by: Lin, Honglin, et al.
Published: (2025)
MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
by: Pei, Qizhi, et al.
Published: (2025)
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)
by: Pan, Zhuoshi, 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)
by: Tang, Zinan, et al.
Published: (2025)
A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis
by: Gao, Xin, et al.
Published: (2025)
by: Gao, Xin, et al.
Published: (2025)
LEMMA: Learning from Errors for MatheMatical Advancement in LLMs
by: Pan, Zhuoshi, et al.
Published: (2025)
by: Pan, Zhuoshi, 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)
by: Li, Yu, et al.
Published: (2025)
ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
by: Liu, Zheng, et al.
Published: (2026)
by: Liu, Zheng, et al.
Published: (2026)
CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges
by: Li, Yu, et al.
Published: (2025)
by: Li, Yu, et al.
Published: (2025)
OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value
by: Cai, Mengzhang, et al.
Published: (2025)
by: Cai, Mengzhang, et al.
Published: (2025)
IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment
by: Ming, Chenlin, et al.
Published: (2025)
by: Ming, Chenlin, et al.
Published: (2025)
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
by: Koh, Sungho, et al.
Published: (2025)
by: Koh, Sungho, 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)
by: Li, Yu, et al.
Published: (2026)
Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility
by: Lin, Honglin, et al.
Published: (2026)
by: Lin, Honglin, et al.
Published: (2026)
3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
by: Pei, Qizhi, et al.
Published: (2024)
by: Pei, Qizhi, et al.
Published: (2024)
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
by: Lin, Honglin, et al.
Published: (2026)
by: Lin, Honglin, et al.
Published: (2026)
Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training
by: Cao, Chuxue, et al.
Published: (2026)
by: Cao, Chuxue, et al.
Published: (2026)
LRAS: Advanced Legal Reasoning with Agentic Search
by: Zhou, Yujin, et al.
Published: (2026)
by: Zhou, Yujin, et al.
Published: (2026)
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
by: Tang, Zhengyang, et al.
Published: (2024)
by: Tang, Zhengyang, et al.
Published: (2024)
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors
by: Pei, Qizhi, et al.
Published: (2024)
by: Pei, Qizhi, et al.
Published: (2024)
FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation
by: Gao, Kaiyuan, et al.
Published: (2024)
by: Gao, Kaiyuan, et al.
Published: (2024)
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
by: Pei, Qizhi, et al.
Published: (2023)
by: Pei, Qizhi, et al.
Published: (2023)
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
by: He, Zhiwei, et al.
Published: (2025)
by: He, Zhiwei, et al.
Published: (2025)
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
by: Hou, Zhenyu, et al.
Published: (2025)
by: Hou, Zhenyu, et al.
Published: (2025)
Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets
by: Gao, Xin, et al.
Published: (2025)
by: Gao, Xin, et al.
Published: (2025)
FABind: Fast and Accurate Protein-Ligand Binding
by: Pei, Qizhi, et al.
Published: (2023)
by: Pei, Qizhi, et al.
Published: (2023)
Scaling Flaws of Verifier-Guided Search in Mathematical Reasoning
by: Yu, Fei, et al.
Published: (2025)
by: Yu, Fei, et al.
Published: (2025)
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
by: Pei, Qizhi, et al.
Published: (2024)
by: Pei, Qizhi, et al.
Published: (2024)
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
by: Pei, Qizhi, et al.
Published: (2024)
by: Pei, Qizhi, et al.
Published: (2024)
Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning
by: Wang, Li, et al.
Published: (2025)
by: Wang, Li, et al.
Published: (2025)
From Seeing to Experiencing: Scaling Navigation Foundation Models with Reinforcement Learning
by: He, Honglin, et al.
Published: (2025)
by: He, Honglin, et al.
Published: (2025)
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations
by: Chen, Nuo, et al.
Published: (2023)
by: Chen, Nuo, et al.
Published: (2023)
Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On
by: Zeng, Liang, et al.
Published: (2024)
by: Zeng, Liang, et al.
Published: (2024)
Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification
by: Bai, Tianyi, et al.
Published: (2025)
by: Bai, Tianyi, et al.
Published: (2025)
Examining False Positives under Inference Scaling for Mathematical Reasoning
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems
by: Hao, Yuren, et al.
Published: (2025)
by: Hao, Yuren, et al.
Published: (2025)
Beyond Rejection Sampling: Trajectory Fusion for Scaling Mathematical Reasoning
by: Deng, Jie, et al.
Published: (2026)
by: Deng, Jie, et al.
Published: (2026)
Coping Scale for Difficult Socio-academic Situations: Short Version
by: Adriana B. Soares
Published: (2023)
by: Adriana B. Soares
Published: (2023)
GLEAN: Grounded Lightweight Evaluation Anchors for Contamination-Aware Tabular Reasoning
by: Wang, Qizhi
Published: (2026)
by: Wang, Qizhi
Published: (2026)
Similar Items
-
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) -
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) -
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
by: Tang, Zinan, et al.
Published: (2025)