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Willie Neiswanger

Department of Computer Science, Stanford University

Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awareness

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Nov 06, 2024
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LiveBench: A Challenging, Contamination-Free LLM Benchmark

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Jun 27, 2024
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What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

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May 22, 2024
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IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations

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Apr 02, 2024
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Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

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Feb 13, 2024
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DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models

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Feb 04, 2024
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LLM360: Towards Fully Transparent Open-Source LLMs

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Dec 11, 2023
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Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration

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Dec 01, 2023
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Making Scalable Meta Learning Practical

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Oct 23, 2023
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SlimPajama-DC: Understanding Data Combinations for LLM Training

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Sep 19, 2023
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