Hello, I'm

Daniel Fein

Researcher at Stanford University

Daniel Fein
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About

I'm a computer science researcher at Stanford University, originally from Miami. My research focuses on human relationships to AI, particularly in the areas of preference learning and creativity.

I'm passionate about building systems that are performant while being legible to, and good for, humans.

Publications

LitBench: A Benchmark and Dataset for Reliable Evaluation of Creative Writing

Daniel Fein, Sebastian Russo, Violet Xiang, Kabir Jolly, Rafael Rafailov, Nick Haber

Under review

Benchmarking creative-writing evaluation with a diverse dataset and rigorous reliability metrics.

arXiv

Influence Functions for Preference Dataset Pruning

Daniel Fein, Gabriela Aranguiz-Dias

NeurIPS ReliableML Workshop 2025

Uses influence functions to identify and trim low-value preference pairs for more efficient alignment.

arXiv

DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning

Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah Goodman

NeurIPS Datasets and Benchmarks 2021

Cross-domain benchmark testing how well self-supervised methods transfer across diverse modalities.

arXiv

Get in Touch

Feel free to reach out for collaborations or just to say hello.