Copertina

From Roots to Rewards: Dynamic Tree Reasoning with Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bahloul, Ahmed, Malberg, Simon
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Comprehensive Evaluation of Cognitive Biases in LLMs
di: Malberg, Simon, et al.
Pubblicazione: (2024)

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
di: Wen, Xumeng, et al.
Pubblicazione: (2025)

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
di: Zhang, Kongcheng, et al.
Pubblicazione: (2025)

Framework of Thoughts: A Foundation Framework for Dynamic and Optimized Reasoning based on Chains, Trees, and Graphs
di: Fricke, Felix, et al.
Pubblicazione: (2026)

REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
di: Stojanovski, Zafir, et al.
Pubblicazione: (2025)

Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals
di: Chen, Sirui, et al.
Pubblicazione: (2026)

Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning
di: Ye, Zhiling, et al.
Pubblicazione: (2025)

CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards
di: Tian, Wei, et al.
Pubblicazione: (2026)

Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
di: Cheng, Ruoxi, et al.
Pubblicazione: (2025)

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
di: Ma, Zhengzhao, et al.
Pubblicazione: (2026)

Enhancing LLM Reasoning with Reward-guided Tree Search
di: Jiang, Jinhao, et al.
Pubblicazione: (2024)

RLMR: Reinforcement Learning with Mixed Rewards for Creative Writing
di: Liao, Jianxing, et al.
Pubblicazione: (2025)

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
di: Wu, Fang, et al.
Pubblicazione: (2025)

Reinforcement Learning with Conditional Expectation Reward
di: Xiao, Changyi, et al.
Pubblicazione: (2026)

A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning
di: Wachi, Akifumi, et al.
Pubblicazione: (2026)

Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards
di: Shen, Wei, et al.
Pubblicazione: (2024)

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing
di: Jiao, Fangkai, et al.
Pubblicazione: (2024)

DeepCompress: A Dual Reward Strategy for Dynamically Exploring and Compressing Reasoning Chains
di: Liang, Tian, et al.
Pubblicazione: (2025)

From Building Blocks to Planning: Multi-Step Spatial Reasoning in LLMs with Reinforcement Learning
di: Tahmasbi, Amir, et al.
Pubblicazione: (2025)

From Prediction to Justification: Aligning Sentiment Reasoning with Human Rationale via Reinforcement Learning
di: Zhang, Shihao, et al.
Pubblicazione: (2026)

Exploring Reasoning Reward Model for Agents
di: Fan, Kaixuan, et al.
Pubblicazione: (2026)

RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
di: Wang, Peisong, et al.
Pubblicazione: (2025)

Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
di: Liu, Xiaoyuan, et al.
Pubblicazione: (2025)

Retell, Reward, Repeat: Reinforcement Learning for Narrative Theory-Informed Story Generation
di: Liu, David Y., et al.
Pubblicazione: (2026)

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards
di: Lara, Luis, et al.
Pubblicazione: (2026)

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

From Next-Token to Mathematics: The Learning Dynamics of Mathematical Reasoning in Language Models
di: Mishra, Shubhra, et al.
Pubblicazione: (2024)

The Art of Efficient Reasoning: Data, Reward, and Optimization
di: Wu, Taiqiang, et al.
Pubblicazione: (2026)

Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
di: Hong, Haitao, et al.
Pubblicazione: (2025)

Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation
di: Cao, Meng, et al.
Pubblicazione: (2024)

ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models
di: Chen, Bin, et al.
Pubblicazione: (2025)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
di: Xie, Tianbao, et al.
Pubblicazione: (2023)

Auditing Data Membership in Reinforcement Learning With Verifiable Rewards
di: Liu, Yule, et al.
Pubblicazione: (2025)

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
di: Gunjal, Anisha, et al.
Pubblicazione: (2025)

Reward-Guided Speculative Decoding for Efficient LLM Reasoning
di: Liao, Baohao, et al.
Pubblicazione: (2025)

PACR: Progressively Ascending Confidence Reward for LLM Reasoning
di: Yoon, Eunseop, et al.
Pubblicazione: (2025)

Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models
di: Bani-Harouni, David, et al.
Pubblicazione: (2025)

Balancing Rewards in Text Summarization: Multi-Objective Reinforcement Learning via HyperVolume Optimization
di: Song, Junjie, et al.
Pubblicazione: (2025)

CTRL-RAG: Contrastive Likelihood Reward Based Reinforcement Learning for Context-Faithful RAG Models
di: Tan, Zhehao, et al.
Pubblicazione: (2026)

Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation
di: Zhou, Jiang, et al.
Pubblicazione: (2026)