[ICML 2025] Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment (https://arxiv.org/abs/2410.02197)

Lightweight pairwise evaluator for relational signals in Ouro-2.6B-Thinking loop-state trajectories.

Kaggle Silver Medal LLM preference prediction project with large-scale inference and performance optimization.

O chatbot-arena-preference-prediction-llms.ipynb é um projeto de aprendizado de máquina que utiliza grandes modelos de linguagem (LLMs) para prever preferências dos usuários em um ambiente de chatbot. O objetivo é analisar interações para melhorar as respostas e personalizar a experiência do usuário com base em suas preferências.

AI-powered travel optimization engine that ranks itineraries based on cost, constraints, and personalized preference scoring with explainable decision logic.

Bayesian MCMC model for estimating browsing preferences, diversity preference, and switching costs.

Optimize flight search costs with 8 AI skills for travelers and teams, cutting airfare spend by 30–66% for personal trips and 10–15% for business trips