James Zou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025

Benchmarking and Evaluation of AI Models in Biology: Outcomes and Recommendations from the CZI Virtual Cells Workshop.

[BibT_eX]

[DOI]

CoRR, July, 2025

4KAgent: Agentic Any Image to 4K Super-Resolution.

[BibT_eX]

[DOI]

CoRR, July, 2025

Solving Inequality Proofs with Large Language Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

Learning a Canonical Basis of Human Preferences from Binary Ratings.

[BibT_eX]

[DOI]

Kailas Vodrahalli

Wei Wei

James Zou

CoRR, March, 2025

A Theoretical Framework for Prompt Engineering: Approximating Smooth Functions with Transformer Prompts.

[BibT_eX]

[DOI]

CoRR, March, 2025

AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration.

[BibT_eX]

[DOI]

CoRR, March, 2025

Science Across Languages: Assessing LLM Multilingual Translation of Scientific Papers.

[BibT_eX]

[DOI]

Hannah Calzi Kleidermacher

James Zou

CoRR, February, 2025

The Widespread Adoption of Large Language Model-Assisted Writing Across Society.

[BibT_eX]

[DOI]

CoRR, February, 2025

SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning.

[BibT_eX]

[DOI]

CoRR, January, 2025

RAPID: Reliable and efficient Automatic generation of submission rePortIng checklists with large language moDels.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2025

GMValuator: Similarity-based Data Valuation for Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Mixture-of-Agents Enhances Large Language Model Capabilities.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

New Evaluation Metrics Capture Quality Degradation due to LLM Watermarking.

[BibT_eX]

[DOI]

Karanpartap Singh

James Zou

Trans. Mach. Learn. Res., 2024

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders.

[BibT_eX]

[DOI]

Elana Simon

James Zou

CoRR, 2024

Improving LLM Group Fairness on Tabular Data via In-Context Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Safety challenges of AI in medicine.

[BibT_eX]

[DOI]

Danielle S. Bitterman

CoRR, 2024

Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs.

[BibT_eX]

[DOI]

Valeriia Cherepanova

James Zou

CoRR, 2024

The complementary contributions of academia and industry to AI research.

[BibT_eX]

[DOI]

CoRR, 2024

2021

CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Explaining the Trump Gap in Social Distancing Using COVID Discourse.

[BibT_eX]

[DOI]

Austin Van Loon

Sheridan Stewart

Brandon Waldon

Shrinidhi K. Lakshmikanth

Ishan Shah

Sharath Chandra Guntuku

Garrick Sherman

James Zou

Johannes C. Eichstaedt

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

2019

A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Minimizing Close-k Aggregate Loss Improves Classification.

[BibT_eX]

[DOI]

Bryan He

James Zou

CoRR, 2018

2017

Quantifying the accuracy of approximate diffusions and Markov chains.

[BibT_eX]

[DOI]

Jonathan Huggins

James Zou

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Signal to noise in matching markets.

[BibT_eX]

[DOI]

S. Matthew Weinberg

James Zou

CoRR, 2016

Controlling Bias in Adaptive Data Analysis Using Information Theory.

[BibT_eX]

[DOI]

Daniel Russo

James Zou

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

James Zou

Known people with the same name:

Bibliography

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