Cover Image

Toward Optimal LLM Alignments Using Two-Player Games

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Rui, Guo, Hongyi, Liu, Zhihan, Zhang, Xiaoying, Yao, Yuanshun, Xu, Xiaojun, Wang, Zhaoran, Xi, Zhiheng, Gui, Tao, Zhang, Qi, Huang, Xuanjing, Li, Hang, Liu, Yang
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence 68
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Human-Instruction-Free LLM Self-Alignment with Limited Samples
by: Guo, Hongyi, et al.
Published: (2024)

Can Large Language Models Play Games? A Case Study of A Self-Play Approach
by: Guo, Hongyi, et al.
Published: (2024)

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

Learning to Watermark LLM-generated Text via Reinforcement Learning
by: Xu, Xiaojun, et al.
Published: (2024)

Deep Reinforcement Learning Xiangqi Player with Monte Carlo Tree Search
by: Yilmaz, Berk, et al.
Published: (2025)

Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback
by: Ito, Shinji, et al.
Published: (2025)

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals
by: Zheng, Rui, et al.
Published: (2024)

Robust Multi-bit Text Watermark with LLM-based Paraphrasers
by: Xu, Xiaojun, et al.
Published: (2024)

A Constraint-Preserving Neural Network Approach for Solving Mean-Field Games Equilibrium
by: Liu, Jinwei, et al.
Published: (2025)

Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting
by: Frees, Daniel, et al.
Published: (2024)

Driving Style Alignment for LLM-powered Driver Agent
by: Yang, Ruoxuan, et al.
Published: (2024)

Toward a Dynamic Stackelberg Game-Theoretic Framework for Agentic AI Defense Against LLM Jailbreaking
by: Han, Zhengye, et al.
Published: (2025)

Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023)

OPENXRD: A Comprehensive Benchmark Framework for LLM/MLLM XRD Question Answering
by: Vosoughi, Ali, et al.
Published: (2025)

Robust First and Second-Order Differentiation for Regularized Optimal Transport
by: Li, Xingjie, et al.
Published: (2024)

Biomedical Visual Instruction Tuning with Clinician Preference Alignment
by: Cui, Hejie, et al.
Published: (2024)

Evaluating AI Grading on Real-World Handwritten College Mathematics: A Large-Scale Study Toward a Benchmark
by: Yu, Zhiqi, et al.
Published: (2026)

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency
by: Liu, Zhihan, et al.
Published: (2023)

An Efficient Two-Sided Sketching Method for Large-Scale Tensor Decomposition Based on Transformed Domains
by: Cheng, Zhiguang, et al.
Published: (2024)

TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models
by: Rakib, Mazharul Islam, et al.
Published: (2025)

CELA: Cost-Efficient Language Model Alignment for CTR Prediction
by: Wang, Xingmei, et al.
Published: (2024)

From Imitation to Interaction: Mastering Game of Schnapsen with Shallow Reinforcement Learning
by: Klačan, Ján, et al.
Published: (2026)

Large Language Models as Agents in Two-Player Games
by: Liu, Yang, et al.
Published: (2024)

RMB: Comprehensively Benchmarking Reward Models in LLM Alignment
by: Zhou, Enyu, et al.
Published: (2024)

Mindalogue: LLM-Powered Nonlinear Interaction for Effective Learning and Task Exploration
by: Zhang, Rui, et al.
Published: (2024)

ABot-Claw: A Foundation for Persistent, Cooperative, and Self-Evolving Robotic Agents
by: Huo, Dongjie, et al.
Published: (2026)

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
by: Zhang, Jiazheng, et al.
Published: (2025)

Deciphering Shortcut Learning from an Evolutionary Game Theory Perspective
by: Li, Xiayang, et al.
Published: (2026)

RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions
by: Zhang, Yuansen, et al.
Published: (2024)

Correction and Corruption: A Two-Rate View of Error Flow in LLM Protocols
by: Reitich, Fernando
Published: (2026)

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability?
by: Wang, Yongjie, et al.
Published: (2025)

Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising
by: Clemente, Mateo, et al.
Published: (2025)

STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery
by: Su, Jiarui, et al.
Published: (2026)

On the Stability of Learning in Network Games with Many Players
by: Hussain, Aamal, et al.
Published: (2024)

DOD-SA: Infrared-Visible Decoupled Object Detection with Single-Modality Annotations
by: Jin, Hang, et al.
Published: (2025)

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
by: Xi, Zhiheng, et al.
Published: (2023)

Differential Parity: Relative Fairness Between Two Sets of Decisions
by: Yu, Zhe, et al.
Published: (2021)

An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
by: Ma, Chong, et al.
Published: (2023)

Undefinability of Approximation of 2-to-2 Games
by: Dawar, Anuj, et al.
Published: (2025)

LangMARL: Natural Language Multi-Agent Reinforcement Learning
by: Yao, Huaiyuan, et al.
Published: (2026)