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Blog | Machine Learning | Carnegie Mellon University
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Last updated about 1 month ago
RLHF 101: A Technical Tutorial on Reinforcement Learning from Human Feedback
about 1 month ago
Reinforcement Learning from Human Feedback (RLHF) is a popular technique used to...
Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
about 2 months ago
Machine unlearning is a promising approach to mitigate undesirable memorization of training...
Carnegie Mellon University at ICLR 2025
2 months ago
CMU researchers are presenting 143 papers at the Thirteenth International Conference on...
Allie: A Human-Aligned Chess Bot
3 months ago
Play against Allie on lichess! Introduction In 1948, Alan Turning designed what...
LLM Unlearning Benchmarks are Weak Measures of Progress
3 months ago
TL;DR: “Machine unlearning” aims to remove data from models without retraining the...
Copilot Arena: A Platform for Code
3 months ago
Figure 1. Copilot Arena is a VSCode extension that collects human preferences...
Optimizing LLM Test-Time Compute Involves Solving a Meta-RL Problem
6 months ago
Figure 1: Training models to optimize test-time compute and learn “how to...
Inductive biases of neural network modularity in spatial navigation
6 months ago
TL;DR: The brain may have evolved a modular architecture for daily tasks,...
Human-AI Collaboration in Physical Tasks
7 months ago
TL;DR: At SmashLab, we’re creating an intelligent assistant that uses the sensors...
ScribeAgent: Fine-Tuning Open-Source LLMs for Enhanced Web Navigation
7 months ago
LLM web agents are designed to predict a sequence of actions to...
Carnegie Mellon University at NeurIPS 2024
7 months ago
Carnegie Mellon University is proud to present 194 papers at the 38th...
Identification of Hazardous Areas for Priority Landmine Clearance: AI for Humanitarian Mine Action
8 months ago
TL;DR: Landmines pose a persistent threat and hinder development in over 70...