Cover Image

Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bae, Sanghwan, Hong, Jiwoo, Lee, Min Young, Kim, Hanbyul, Nam, JeongYeon, Kwak, Donghyun
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
by: Park, Cheonbok, et al.
Published: (2025)

STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
by: Lee, Kyumin, et al.
Published: (2025)

ORPO: Monolithic Preference Optimization without Reference Model
by: Hong, Jiwoo, et al.
Published: (2024)

Tackling the Inherent Difficulty of Noise Filtering in RAG
by: Liu, Jingyu, et al.
Published: (2026)

Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
by: Lee, Unggi, et al.
Published: (2025)

Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
by: Lee, Sejin, et al.
Published: (2024)

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts
by: Lee, Sang-Woo, et al.
Published: (2025)

FENCE: A Financial and Multimodal Jailbreak Detection Dataset
by: Kim, Mirae, et al.
Published: (2026)

AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
by: Koh, Woosung, et al.
Published: (2025)

Rectifying Demonstration Shortcut in In-Context Learning
by: Jang, Joonwon, et al.
Published: (2024)

Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement Learning
by: Zhang, Hang, et al.
Published: (2026)

CORAL: Adaptive Retrieval Loop for Culturally-Aligned Multilingual RAG
by: Lee, Nayeon, et al.
Published: (2026)

Revealing User Familiarity Bias in Task-Oriented Dialogue via Interactive Evaluation
by: Kim, Takyoung, et al.
Published: (2023)

Unlocking the Potential of Diffusion Language Models through Template Infilling
by: Lee, Junhoo, et al.
Published: (2025)

Exploring Language Model's Code Generation Ability with Auxiliary Functions
by: Lee, Seonghyeon, et al.
Published: (2024)

Cross-lingual Transfer of Reward Models in Multilingual Alignment
by: Hong, Jiwoo, et al.
Published: (2024)

Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction
by: Kim, Hongjin, et al.
Published: (2026)

Probing the Difficulty Perception Mechanism of Large Language Models
by: Lee, Sunbowen, et al.
Published: (2025)

MATE: Meet At The Embedding -- Connecting Images with Long Texts
by: Jang, Young Kyun, et al.
Published: (2024)

KPC-cF: Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus Filtering
by: Nam, Kibeom
Published: (2024)

Leveraging KV Similarity for Online Structured Pruning in LLMs
by: Lee, Jungmin, et al.
Published: (2025)

IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
by: Baek, In-Chang, et al.
Published: (2025)

WoLF: Wide-scope Large Language Model Framework for CXR Understanding
by: Kang, Seil, et al.
Published: (2024)

Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
by: Kim, Sungyeon, et al.
Published: (2023)

Uncovering Emergent Physics Representations Learned In-Context by Large Language Models
by: Song, Yeongwoo, et al.
Published: (2025)

E-MMKGR: A Unified Multimodal Knowledge Graph Framework for E-commerce Applications
by: Kang, Jiwoo, et al.
Published: (2026)

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models
by: Jung, Jincheol, et al.
Published: (2024)

Learning When to Translate for Multilingual Reasoning
by: Kang, Deokhyung, et al.
Published: (2026)

Understanding Moral Reasoning Trajectories in Large Language Models: Toward Probing-Based Explainability
by: Huang, Fan, et al.
Published: (2026)

Reinforcement Learning vs. Distillation: Understanding Accuracy and Capability in LLM Reasoning
by: Kim, Minwu, et al.
Published: (2025)

AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting
by: Huang, Shijue, et al.
Published: (2025)

Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay
by: Sun, Yifan, et al.
Published: (2025)

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
by: Zhou, Yuhang, et al.
Published: (2025)

Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
by: Wang, Xinglin, et al.
Published: (2024)

Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations
by: Cai, Wenrui, et al.
Published: (2025)

Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning
by: Chen, Zhuoen, et al.
Published: (2026)

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
by: Xie, Tian, et al.
Published: (2025)

EXAONE Deep: Reasoning Enhanced Language Models
by: Bae, Kyunghoon, et al.
Published: (2025)

Do not think about pink elephant!
by: Hwang, Kyomin, et al.
Published: (2024)

Real-Time Person Image Synthesis Using a Flow Matching Model
by: Jeong, Jiwoo, et al.
Published: (2025)