Nash Equilibrium Text: A Game-Theoretic Decoding Framework for Text Generation

arXiv:2610.05817 · cs.AI, cs.CL · Submitted 2026-10-05 · Read on arXiv

cs.AI, cs.CL

Submitted: 2026-10-05

Updated: 2026-10-05

Code: https://github.com/alireza-jafari/Nash-Decoding

Terminology

• Nash Equilibrium — 1× in this paper · explained in 2 episodes

Sources

• SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
• The Falcon Series of Open Language Models
• Accelerating Large Language Model Decoding with Speculative Sampling
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering
• Mistral 7B
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
• Large Language Diffusion Models
• OpenAI o1 System Card
• Shapley-based Data Valuation for LLM Alignment via Sequential Preference Optimization
• 2 OLMo 2 Furious
• LLaMA: Open and Efficient Foundation Language Models
• Seq vs Seq: An Open Suite of Paired Encoders and Decoders
• Truth or Deceit? A Bayesian Decoding Game Enhances Consistency and Reliability

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems