Chelsea Finn
- Papers
- 32
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Authored papers
32RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
arXiv 2026
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real Users
arXiv 2025
Universal Neural Functionals
arXiv 2024
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
arXiv 2024
Octo: An Open-Source Generalist Robot Policy
arXiv 2024
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
arXiv 2024
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
arXiv 2024
Evaluating Real-World Robot Manipulation Policies in Simulation
arXiv 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
arXiv 2024
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
arXiv 2024
A Critical Evaluation of AI Feedback for Aligning Large Language Models
arXiv 2024
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
arXiv 2024
RLVF: Learning from Verbal Feedback without Overgeneralization
arXiv 2024
PIGEON: Predicting Image Geolocations
CVPR 2024 1
Train Offline, Test Online: A Real Robot Learning Benchmark
arXiv 2023
Contrastive Example-Based Control
arXiv 2023
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
arXiv 2023
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
arXiv 2023
BridgeData V2: A Dataset for Robot Learning at Scale
arXiv 2023
Language-Driven Representation Learning for Robotics
arXiv 2023
Contrastive Preference Learning: Learning from Human Feedback without RL
arXiv 2023
Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models
arXiv 2023
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
arXiv 2023
Disentanglement via Latent Quantization
disentanglement-via-latent-quantization
Meta-Learning Online Adaptation of Language Models
arXiv 2023
RT-1: Robotics Transformer for Real-World Control at Scale
arXiv 2022
Fast Model Editing at Scale
fast-model-editing-at-scale
Meta-Learning with Fewer Tasks through Task Interpolation
meta-learning-with-fewer-tasks-through-task-1
WILDS: A Benchmark of in-the-Wild Distribution Shifts
arXiv 2020
Gradient Surgery for Multi-Task Learning
NeurIPS 2020 12
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
arXiv 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
model-agnostic-meta-learning-for-fast-1
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