Multi-LLM Collaborative Alignment via Stackelberg Games
cs.AI, cs.LG
Submitted: 2026-09-30
Updated: 2026-10-06
Code: https://github.com/BunsenFeng/model_collaboration
Terminology
Sources
- Phi-4 Technical Report
- Program Synthesis with Large Language Models
- NVIDIA Nemotron 3: Efficient and Open Intelligence
- Evaluating Large Language Models Trained on Code
- Self-Evolving Curriculum for LLM Reasoning
- Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
- CulturalBench: A Robust, Diverse, and Challenging Cultural Benchmark by Human-AI CulturalTeaming
- Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier
- AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents
- Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems
- Scaling Participation in Modular AI Systems
- SMDD-Bench: Can LLMs Solve Real-World Small Molecule Drug Design Tasks?
- LAB-Bench: Measuring Capabilities of Language Models for Biology Research
- SPADE: Self-Play in Adaptive Synthetic Executable Environments
- Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
- Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
- BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
- Gemma 4 Technical Report
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