RLHF 101: A Technical Tutorial on Reinforcement Learning from Human Feedback – Machine Learning Blog | ML@CMU
Reinforcement Learning from Human Feedback (RLHF) is a popular technique used to align AI systems with ...
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Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning – Machine Learning Blog | ML@CMU
Machine unlearning is a promising approach to mitigate undesirable memorization of training data in ML models. ...
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Carnegie Mellon University at ICLR 2025 – Machine Learning Blog | ML@CMU
CMU researchers are presenting 143 papers at the Thirteenth International Conference on Learning Representations (ICLR 2025), ...
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LLM Unlearning Benchmarks are Weak Measures of Progress – Machine Learning Blog | ML@CMU
TL;DR: “Machine unlearning” aims to remove data from models without retraining the model completely. Unfortunately, state-of-the-art ...
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Copilot Arena: A Platform for Code – Machine Learning Blog | ML@CMU
Figure 1. Copilot Arena is a VSCode extension that collects human preferences of code directly from ...
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Optimizing LLM Test-Time Compute Involves Solving a Meta-RL Problem – Machine Learning Blog | ML@CMU
Figure 1: Training models to optimize test-time compute and learn “how to discover” correct responses, as ...
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