Saved in:
| Main Authors: | Wen, Cheng, Guo, Tingwei, Zhao, Shuaijiang, Zou, Wei, Li, Xiangang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.15900 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data
by: Zhao, Shuaijiang, et al.
Published: (2024)
by: Zhao, Shuaijiang, et al.
Published: (2024)
Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models
by: Xiang, Bajian, et al.
Published: (2025)
by: Xiang, Bajian, et al.
Published: (2025)
Technical Report: Competition Solution For BetterMixture
by: Zhao, Shuaijiang, et al.
Published: (2024)
by: Zhao, Shuaijiang, et al.
Published: (2024)
How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study
by: Ji, Yunjie, et al.
Published: (2025)
by: Ji, Yunjie, et al.
Published: (2025)
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
by: Chen, Guoguo, et al.
Published: (2021)
by: Chen, Guoguo, et al.
Published: (2021)
TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning
by: Wu, Jinyang, et al.
Published: (2025)
by: Wu, Jinyang, et al.
Published: (2025)
VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning
by: Yuan, Ruifeng, et al.
Published: (2025)
by: Yuan, Ruifeng, et al.
Published: (2025)
Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation
by: Ji, Yuelyu, et al.
Published: (2025)
by: Ji, Yuelyu, et al.
Published: (2025)
Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning
by: Wu, Muling, et al.
Published: (2025)
by: Wu, Muling, et al.
Published: (2025)
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2024)
by: Xi, Zhiheng, et al.
Published: (2024)
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
by: Shi, Taiwei, et al.
Published: (2025)
by: Shi, Taiwei, et al.
Published: (2025)
TACLer: Tailored Curriculum Reinforcement Learning for Efficient Reasoning
by: Lai, Huiyuan, et al.
Published: (2026)
by: Lai, Huiyuan, et al.
Published: (2026)
Audio-Thinker: Guiding Audio Language Model When and How to Think via Reinforcement Learning
by: Wu, Shu, et al.
Published: (2025)
by: Wu, Shu, 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)
Leveraging Reasoning Model Answers to Enhance Non-Reasoning Model Capability
by: Wang, Haotian, et al.
Published: (2025)
by: Wang, Haotian, et al.
Published: (2025)
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning
by: Li, Yangning, et al.
Published: (2025)
by: Li, Yangning, et al.
Published: (2025)
STEER: Structured Event Evidence for Video Reasoning via Multi-Objective Reinforcement Learning
by: Li, Zinuo, et al.
Published: (2026)
by: Li, Zinuo, et al.
Published: (2026)
CX-Mind: A Pioneering Multimodal Large Language Model for Interleaved Reasoning in Chest X-ray via Curriculum-Guided Reinforcement Learning
by: Li, Wenjie, et al.
Published: (2025)
by: Li, Wenjie, et al.
Published: (2025)
RLKD: Distilling LLMs' Reasoning via Reinforcement Learning
by: Xu, Shicheng, et al.
Published: (2025)
by: Xu, Shicheng, et al.
Published: (2025)
FGGM: Fisher-Guided Gradient Masking for Continual Learning
by: Tan, Chao-Hong, et al.
Published: (2026)
by: Tan, Chao-Hong, et al.
Published: (2026)
SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning
by: Chen, Guoxin, et al.
Published: (2024)
by: Chen, Guoxin, et al.
Published: (2024)
Dr. Assistant: Enhancing Clinical Diagnostic Inquiry via Structured Diagnostic Reasoning Data and Reinforcement Learning
by: Guo, Yue, et al.
Published: (2026)
by: Guo, Yue, et al.
Published: (2026)
Demystifying Reinforcement Learning in Agentic Reasoning
by: Yu, Zhaochen, et al.
Published: (2025)
by: Yu, Zhaochen, et al.
Published: (2025)
CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning
by: Onyame, Eric, et al.
Published: (2026)
by: Onyame, Eric, et al.
Published: (2026)
Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study
by: Tian, Xiaoyu, et al.
Published: (2025)
by: Tian, Xiaoyu, et al.
Published: (2025)
AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning
by: Wei, Yifan, et al.
Published: (2025)
by: Wei, Yifan, et al.
Published: (2025)
Decompose, Look, and Reason: Reinforced Latent Reasoning for VLMs
by: Zhu, Mengdan, et al.
Published: (2026)
by: Zhu, Mengdan, et al.
Published: (2026)
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
by: Parashar, Shubham, et al.
Published: (2025)
by: Parashar, Shubham, et al.
Published: (2025)
AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale
by: Ji, Yunjie, et al.
Published: (2025)
by: Ji, Yunjie, et al.
Published: (2025)
Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models
by: Liu, Zeyu, et al.
Published: (2025)
by: Liu, Zeyu, et al.
Published: (2025)
Audio-DeepThinker: Progressive Reasoning-Aware Reinforcement Learning for High-Quality Chain-of-Thought Emergence in Audio Language Models
by: He, Xiang, et al.
Published: (2026)
by: He, Xiang, et al.
Published: (2026)
Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking
by: Tian, Xiaoyu, et al.
Published: (2025)
by: Tian, Xiaoyu, et al.
Published: (2025)
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
by: Ma, Xuetao, et al.
Published: (2025)
by: Ma, Xuetao, et al.
Published: (2025)
Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning
by: Lei, Xuanyu, et al.
Published: (2025)
by: Lei, Xuanyu, et al.
Published: (2025)
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
by: Qi, Zehan, et al.
Published: (2024)
by: Qi, Zehan, et al.
Published: (2024)
1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training
by: Zhao, Han, et al.
Published: (2025)
by: Zhao, Han, et al.
Published: (2025)
Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning
by: Gong, Zhaoyan, et al.
Published: (2026)
by: Gong, Zhaoyan, et al.
Published: (2026)
PEER: Unified Process-Outcome Reinforcement Learning for Structured Empathetic Reasoning
by: Wang, Yunxiao, et al.
Published: (2025)
by: Wang, Yunxiao, et al.
Published: (2025)
Concise Reasoning via Reinforcement Learning
by: Fatemi, Mehdi, et al.
Published: (2025)
by: Fatemi, Mehdi, et al.
Published: (2025)
Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models
by: Luo, Kangyang, et al.
Published: (2024)
by: Luo, Kangyang, et al.
Published: (2024)
Similar Items
-
Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data
by: Zhao, Shuaijiang, et al.
Published: (2024) -
Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models
by: Xiang, Bajian, et al.
Published: (2025) -
Technical Report: Competition Solution For BetterMixture
by: Zhao, Shuaijiang, et al.
Published: (2024) -
How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study
by: Ji, Yunjie, et al.
Published: (2025) -
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
by: Chen, Guoguo, et al.
Published: (2021)