Maximum Likelihood Estimation for Entity Ranking under Iterative Synthetic Data Augmentation
stat.ME, math.ST, stat.ML, stat.TH
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- Harnessing Synthetic Data from Generative AI for Statistical Inference
- The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes
- Constitutional AI: Harmlessness from AI Feedback
- Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
- Perturbation is All You Need for Extrapolating Language Models
- Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
- Universality of the $\pi^2/6$ Pathway in Avoiding Model Collapse
- Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
- Uncertainty Quantification for Ranking with Heterogeneous Preferences
- Recent advances in the Bradley--Terry Model: theory, algorithms, and applications
- Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
- The Llama 3 Herd of Models
- Recursive Learning Without Collapse: A Weighting-Based Stabilization Framework
- Reinforcement Learning from Human Feedback with Active Queries
- Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
- Quantifying Error Propagation and Model Collapse in Diffusion Models
- RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
- Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
- Uncertainty Quantification for Large Language Model Reward Learning under Heterogeneous Human Feedback
- Bias-Corrected Data Synthesis for Imbalanced Learning
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