Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training
Fuente:
arXiv
Saved in:
| Main Authors: | Cao, Chuxue, Lin, Honglin, Zhong, Zhanping, Gao, Xin, Cai, Mengzhang, He, Conghui, Han, Sirui, Wu, Lijun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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)
MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
by: Lin, Honglin, et al.
Published: (2025)
by: Lin, Honglin, et al.
Published: (2025)
LRAS: Advanced Legal Reasoning with Agentic Search
by: Zhou, Yujin, et al.
Published: (2026)
by: Zhou, Yujin, et al.
Published: (2026)
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)
Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility
by: Lin, Honglin, et al.
Published: (2026)
by: Lin, Honglin, et al.
Published: (2026)
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)
ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
by: Liu, Zheng, et al.
Published: (2026)
by: Liu, Zheng, et al.
Published: (2026)
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)
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)
Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification
by: Cao, Chuxue, et al.
Published: (2026)
by: Cao, Chuxue, et al.
Published: (2026)
IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment
by: Ming, Chenlin, et al.
Published: (2025)
by: Ming, Chenlin, 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)
MedInsightBench: Evaluating Medical Analytics Agents Through Multi-Step Insight Discovery in Multimodal Medical Data
by: Zhu, Zhenghao, et al.
Published: (2025)
by: Zhu, Zhenghao, et al.
Published: (2025)
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)
MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
by: Pei, Qizhi, et al.
Published: (2025)
by: Pei, Qizhi, et al.
Published: (2025)
ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning
by: Pei, Qizhi, et al.
Published: (2025)
by: Pei, Qizhi, et al.
Published: (2025)
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)
Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token's Nature
by: Liu, Zheng, et al.
Published: (2025)
by: Liu, Zheng, et al.
Published: (2025)
Trust-Aware Diversion for Data-Effective Distillation
by: Wu, Zhuojie, et al.
Published: (2025)
by: Wu, Zhuojie, et al.
Published: (2025)
SafeLawBench: Towards Safe Alignment of Large Language Models
by: Cao, Chuxue, et al.
Published: (2025)
by: Cao, Chuxue, et al.
Published: (2025)
DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training
by: Tian, Xiaoyu, et al.
Published: (2025)
by: Tian, Xiaoyu, et al.
Published: (2025)
Learning with Challenges: Adaptive Difficulty-Aware Data Generation for Mobile GUI Agent Training
by: Kang, Linjia, et al.
Published: (2026)
by: Kang, Linjia, et al.
Published: (2026)
Measuring Hong Kong Massive Multi-Task Language Understanding
by: Cao, Chuxue, et al.
Published: (2025)
by: Cao, Chuxue, et al.
Published: (2025)
High‐performance self‐healing epoxy by microencapsulated epoxy‐amine chemistry I: Properties of the adopted healant system
by: Mengzhang Zhu, et al.
Published: (2024)
by: Mengzhang Zhu, et al.
Published: (2024)
High‐performance self‐healing epoxy by microencapsulated epoxy‐amine chemistry II: Performance of the system
by: Mengzhang Zhu, et al.
Published: (2024)
by: Mengzhang Zhu, et al.
Published: (2024)
Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs
by: Zhuang, Kai, et al.
Published: (2025)
by: Zhuang, Kai, et al.
Published: (2025)
VADE: Variance-Aware Dynamic Sampling via Online Sample-Level Difficulty Estimation for Multimodal RL
by: Hu, Zengjie, et al.
Published: (2025)
by: Hu, Zengjie, et al.
Published: (2025)
Unlocking ESG Value: Sustainable Supply Chain Financing in Retail and Telecom
by: Arun Chinnannan Balasubramanian
Published: (2022)
by: Arun Chinnannan Balasubramanian
Published: (2022)
GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation
by: Zhu, Runchuan, et al.
Published: (2025)
by: Zhu, Runchuan, 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)
Unlocking the Potential of Difficulty Prior in RL-based Multimodal Reasoning
by: Chen, Mingrui, et al.
Published: (2025)
by: Chen, Mingrui, et al.
Published: (2025)
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving
by: Cao, Chuxue, et al.
Published: (2025)
by: Cao, Chuxue, et al.
Published: (2025)
Prospective Results of the Minimally Invasive Laser Enucleation of the Prostate (MiLEP)
by: Fu Feng, et al.
Published: (2024)
by: Fu Feng, et al.
Published: (2024)
Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights
by: Tian, Juanxi, et al.
Published: (2025)
by: Tian, Juanxi, et al.
Published: (2025)
Training-Free Tunnel Defect Inspection and Engineering Interpretation via Visual Recalibration and Entity Reconstruction
by: Liu, Shipeng, et al.
Published: (2026)
by: Liu, Shipeng, et al.
Published: (2026)
Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
by: Wu, Yecheng, et al.
Published: (2026)
by: Wu, Yecheng, et al.
Published: (2026)
Decouple to Generalize: Context-First Self-Evolving Learning for Data-Scarce Vision-Language Reasoning
by: Li, Tingyu, et al.
Published: (2025)
by: Li, Tingyu, et al.
Published: (2025)
DAST: Difficulty-Aware Self-Training on Large Language Models
by: Xue, Boyang, et al.
Published: (2025)
by: Xue, Boyang, et al.
Published: (2025)
Probability-Aware Parking Selection
by: Hickert, Cameron, et al.
Published: (2026)
by: Hickert, Cameron, et al.
Published: (2026)
Similar Items
-
Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets
by: Gao, Xin, et al.
Published: (2025) -
OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value
by: Cai, Mengzhang, et al.
Published: (2025) -
MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
by: Lin, Honglin, et al.
Published: (2025) -
LRAS: Advanced Legal Reasoning with Agentic Search
by: Zhou, Yujin, et al.
Published: (2026) -
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
by: Tang, Zinan, et al.
Published: (2025)