Fine-Tune, Then Rectify
cs.LG, cs.AI
Submitted: 2025-11-23
Updated: 2026-09-22
Terminology
Sources
- PPI++: Efficient Prediction-Powered Inference
- Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs
- The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective
- Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
- Scaling Laws for Transfer
- Training Compute-Optimal Large Language Models
- Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI
- Scaling Laws for Neural Language Models
- Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification
- LLM Generated Persona is a Promise with a Catch
- Digital Twins as Funhouse Mirrors: Five Key Distortions
- Large Language Models for Market Research: A Data-augmentation Approach
- When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
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