Saved in:
| Main Author: | Wang, Hui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.21683 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rapfi: Distilling Efficient Neural Network for the Game of Gomoku
by: Jin, Zhanggen, et al.
Published: (2025)
by: Jin, Zhanggen, et al.
Published: (2025)
SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data
by: Fang, Wenkai, et al.
Published: (2025)
by: Fang, Wenkai, et al.
Published: (2025)
Large Language Models as Pokémon Battle Agents: Strategic Play and Content Generation
by: Jain, Daksh, et al.
Published: (2025)
by: Jain, Daksh, et al.
Published: (2025)
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
by: Wang, Zekun Moore, et al.
Published: (2023)
by: Wang, Zekun Moore, et al.
Published: (2023)
Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
by: Wang, Ru, et al.
Published: (2025)
by: Wang, Ru, et al.
Published: (2025)
TextGames: Learning to Self-Play Text-Based Puzzle Games via Language Model Reasoning
by: Hudi, Frederikus, et al.
Published: (2025)
by: Hudi, Frederikus, et al.
Published: (2025)
SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models
by: Liu, Xiang, et al.
Published: (2025)
by: Liu, Xiang, et al.
Published: (2025)
LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction
by: Wang, Ziwei, et al.
Published: (2025)
by: Wang, Ziwei, et al.
Published: (2025)
Role-Playing Evaluation for Large Language Models
by: Boudouri, Yassine El, et al.
Published: (2025)
by: Boudouri, Yassine El, et al.
Published: (2025)
Multi-agent KTO: Reinforcing Strategic Interactions of Large Language Model in Language Game
by: Ye, Rong, et al.
Published: (2025)
by: Ye, Rong, et al.
Published: (2025)
LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play
by: Lu, Li-Chun, et al.
Published: (2024)
by: Lu, Li-Chun, et al.
Published: (2024)
Post-Training Large Language Models via Reinforcement Learning from Self-Feedback
by: van Niekerk, Carel, et al.
Published: (2025)
by: van Niekerk, Carel, et al.
Published: (2025)
Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
by: Cao, Jiaqi, et al.
Published: (2025)
by: Cao, Jiaqi, et al.
Published: (2025)
SPFT-SQL: Enhancing Large Language Model for Text-to-SQL Parsing by Self-Play Fine-Tuning
by: Zhang, Yuhao, et al.
Published: (2025)
by: Zhang, Yuhao, et al.
Published: (2025)
SEM: Reinforcement Learning for Search-Efficient Large Language Models
by: Sha, Zeyang, et al.
Published: (2025)
by: Sha, Zeyang, et al.
Published: (2025)
Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models
by: Wang, Danqing, et al.
Published: (2024)
by: Wang, Danqing, et al.
Published: (2024)
Strategic Data Ordering: Enhancing Large Language Model Performance through Curriculum Learning
by: Kim, Jisu, et al.
Published: (2024)
by: Kim, Jisu, et al.
Published: (2024)
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)
by: Cheng, Jiale, et al.
Published: (2024)
Playing 20 Question Game with Policy-Based Reinforcement Learning
by: Hu, Huang, et al.
Published: (2018)
by: Hu, Huang, et al.
Published: (2018)
Self-HarmLLM: Can Large Language Model Harm Itself?
by: Kim, Heehwan, et al.
Published: (2025)
by: Kim, Heehwan, et al.
Published: (2025)
Reinforcement Learning Problem Solving with Large Language Models
by: Gholamian, Sina, et al.
Published: (2024)
by: Gholamian, Sina, et al.
Published: (2024)
Self-Play Preference Optimization for Language Model Alignment
by: Wu, Yue, et al.
Published: (2024)
by: Wu, Yue, et al.
Published: (2024)
RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines
by: Yu, Pengfei, et al.
Published: (2025)
by: Yu, Pengfei, et al.
Published: (2025)
On the Decision-Making Abilities in Role-Playing using Large Language Models
by: Shen, Chenglei, et al.
Published: (2024)
by: Shen, Chenglei, et al.
Published: (2024)
M-GRPO: Stabilizing Self-Supervised Reinforcement Learning for Large Language Models with Momentum-Anchored Policy Optimization
by: Bai, Bizhe, et al.
Published: (2025)
by: Bai, Bizhe, et al.
Published: (2025)
Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge
by: Spiliopoulou, Evangelia, et al.
Published: (2025)
by: Spiliopoulou, Evangelia, et al.
Published: (2025)
DSCC-HS: A Dynamic Self-Reinforcing Framework for Hallucination Suppression in Large Language Models
by: Zheng, Xiao
Published: (2025)
by: Zheng, Xiao
Published: (2025)
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models
by: Ji, Xiang, et al.
Published: (2024)
by: Ji, Xiang, et al.
Published: (2024)
Credence Calibration Game? Calibrating Large Language Models through Structured Play
by: Fang, Ke, et al.
Published: (2025)
by: Fang, Ke, et al.
Published: (2025)
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
by: Deng, Yang, et al.
Published: (2023)
by: Deng, Yang, et al.
Published: (2023)
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning
by: Hu, Bokai, et al.
Published: (2024)
by: Hu, Bokai, et al.
Published: (2024)
Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
by: Zhang, Kongcheng, et al.
Published: (2025)
by: Zhang, Kongcheng, et al.
Published: (2025)
StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction
by: Xue, Xiangyuan, et al.
Published: (2026)
by: Xue, Xiangyuan, et al.
Published: (2026)
Reasoning Capabilities of Large Language Models. Lessons Learned from General Game Playing
by: Świechowski, Maciej, et al.
Published: (2026)
by: Świechowski, Maciej, et al.
Published: (2026)
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
by: Xu, Fengli, et al.
Published: (2025)
by: Xu, Fengli, et al.
Published: (2025)
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
by: Chen, Zixiang, et al.
Published: (2024)
by: Chen, Zixiang, et al.
Published: (2024)
Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation
by: Nie, Chaojun, et al.
Published: (2025)
by: Nie, Chaojun, et al.
Published: (2025)
Learning to Better Search with Language Models via Guided Reinforced Self-Training
by: Moon, Seungyong, et al.
Published: (2024)
by: Moon, Seungyong, et al.
Published: (2024)
Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs
by: Li, Wu, et al.
Published: (2026)
by: Li, Wu, et al.
Published: (2026)
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
by: Pang, Jing-Cheng, et al.
Published: (2024)
by: Pang, Jing-Cheng, et al.
Published: (2024)
Similar Items
-
Rapfi: Distilling Efficient Neural Network for the Game of Gomoku
by: Jin, Zhanggen, et al.
Published: (2025) -
SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data
by: Fang, Wenkai, et al.
Published: (2025) -
Large Language Models as Pokémon Battle Agents: Strategic Play and Content Generation
by: Jain, Daksh, et al.
Published: (2025) -
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
by: Wang, Zekun Moore, et al.
Published: (2023) -
Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
by: Wang, Ru, et al.
Published: (2025)