Imagen de Portada

T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hou, Zhenyu, Lv, Xin, Lu, Rui, Zhang, Jiajie, Li, Yujiang, Yao, Zijun, Li, Juanzi, Tang, Jie, Dong, Yuxiao
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search
por: Hou, Zhenyu, et al.
Publicado: (2025)

Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
por: Zhang, Jiajie, et al.
Publicado: (2026)

Pre-training Distillation for Large Language Models: A Design Space Exploration
por: Peng, Hao, et al.
Publicado: (2024)

LongAlign: A Recipe for Long Context Alignment of Large Language Models
por: Bai, Yushi, et al.
Publicado: (2024)

LongReward: Improving Long-context Large Language Models with AI Feedback
por: Zhang, Jiajie, et al.
Publicado: (2024)

DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL
por: Lu, Rui, et al.
Publicado: (2025)

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
por: Bai, Yushi, et al.
Publicado: (2024)

Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models
por: Liu, Yantao, et al.
Publicado: (2024)

AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning
por: Xin, Amy, et al.
Publicado: (2024)

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks
por: Bai, Yushi, et al.
Publicado: (2024)

SIRI: Scaling Iterative Reinforcement Learning with Interleaved Compression
por: Wen, Haoming, et al.
Publicado: (2025)

RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
por: Liu, Yantao, et al.
Publicado: (2024)

AdaptThink: Reasoning Models Can Learn When to Think
por: Zhang, Jiajie, et al.
Publicado: (2025)

DICE: Detecting In-distribution Contamination in LLM's Fine-tuning Phase for Math Reasoning
por: Tu, Shangqing, et al.
Publicado: (2024)

CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning
por: Qi, Ji, et al.
Publicado: (2024)

Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
por: Lin, Nianyi, et al.
Publicado: (2025)

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
por: Bai, Yushi, et al.
Publicado: (2023)

PairJudge RM: Perform Best-of-N Sampling with Knockout Tournament
por: Liu, Yantao, et al.
Publicado: (2025)

Evaluating Generative Language Models in Information Extraction as Subjective Question Correction
por: Fan, Yuchen, et al.
Publicado: (2024)

Auxiliary Metrics Help Decoding Skill Neurons in the Wild
por: Zhao, Yixiu, et al.
Publicado: (2025)

LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA
por: Zhang, Jiajie, et al.
Publicado: (2024)

WildReward: Learning Reward Models from In-the-Wild Human Interactions
por: Peng, Hao, et al.
Publicado: (2026)

LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking
por: Xin, Amy, et al.
Publicado: (2024)

SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling
por: Wang, Haoran, et al.
Publicado: (2025)

LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder
por: Jing, Yi, et al.
Publicado: (2025)

WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection
por: He, Guanzhong, et al.
Publicado: (2025)

Aligning Teacher with Student Preferences for Tailored Training Data Generation
por: Liu, Yantao, et al.
Publicado: (2024)

Are Reasoning Models More Prone to Hallucination?
por: Yao, Zijun, et al.
Publicado: (2025)

KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
por: Zhang, Jiajie, et al.
Publicado: (2024)

Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking
por: Zhang, Xiaokang, et al.
Publicado: (2024)

MM-THEBench: Do Reasoning MLLMs Think Reasonably?
por: Huang, Zhidian, et al.
Publicado: (2026)

ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
por: Lee, Zhicheng, et al.
Publicado: (2025)

Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons
por: Chen, Jianhui, et al.
Publicado: (2024)

StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
por: Chen, Yanxu, et al.
Publicado: (2025)

Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
por: Peng, Hao, et al.
Publicado: (2025)

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
por: Peng, Hao, et al.
Publicado: (2025)

Reverse That Number! Decoding Order Matters in Arithmetic Learning
por: Zhang-Li, Daniel, et al.
Publicado: (2024)

PCL-Reasoner-V1.5: Advancing Math Reasoning with Offline Reinforcement Learning
por: Lu, Yao, et al.
Publicado: (2026)

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

IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse
por: Bai, Yushi, et al.
Publicado: (2026)