Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process
cs.CL, cs.AI
Submitted: 2025-12-29
Updated: 2026-08-29
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- GPT-4 Technical Report
- Aligning Model Evaluations with Human Preferences: Mitigating Token Count Bias in Language Model Assessments
- Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
- Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation
- Evaluating Large Language Models Trained on Code
- GPTScore: Evaluate as You Desire
- A Survey on LLM-as-a-Judge
- Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
- Measuring Mathematical Problem Solving With the MATH Dataset
- Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning
- Large Language Model Routing with Benchmark Datasets
- Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
- Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing
- LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
- Gemini: A Family of Highly Capable Multimodal Models
- TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
- More Agents Is All You Need
- Llama 2: Open Foundation and Fine-Tuned Chat Models
- DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
- Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
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