Michael Saxon

Michael Saxon

University of California, Santa Barbara

H-index: 9

North America-United States

About Michael Saxon

Michael Saxon, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of generative models, natural language processing, language and vision, machine learning, ethical ai.

His recent articles reflect a diverse array of research interests and contributions to the field:

Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts

Large language models are latent variable models: Explaining and finding good demonstrations for in-context learning

Automatically correcting large language models: Surveying the landscape of diverse self-correction strategies

Causal Balancing for Domain Generalization

Multilingual Conceptual Coverage in Text-to-Image Models

PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers

Disparities in Text-to-Image Model Concept Possession Across Languages

Michael Saxon Information

University

Position

PhD Student NLP Lab

Citations(all)

227

Citations(since 2020)

227

Cited By

25

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

University of California, Santa Barbara

Google Scholar

View Google Scholar Profile

Michael Saxon Skills & Research Interests

generative models

natural language processing

language and vision

machine learning

ethical ai

Top articles of Michael Saxon

Title

Journal

Author(s)

Publication Date

Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)

arXiv preprint arXiv:2404.04251

Michael Saxon

Fatima Jahara

Mahsa Khoshnoodi

Yujie Lu

Aditya Sharma

...

2024/4/5

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts

arXiv preprint arXiv:2403.11092

Michael Saxon

Yiran Luo

Sharon Levy

Chitta Baral

Yezhou Yang

...

2024/3/17

Large language models are latent variable models: Explaining and finding good demonstrations for in-context learning

Advances in Neural Information Processing Systems

Xinyi Wang

Wanrong Zhu

Michael Saxon

Mark Steyvers

William Yang Wang

2024/2/13

Automatically correcting large language models: Surveying the landscape of diverse self-correction strategies

Liangming Pan

Michael Saxon

Wenda Xu

Deepak Nathani

Xinyi Wang

...

2023/8/6

Causal Balancing for Domain Generalization

arXiv preprint arXiv:2206.05263

Xinyi Wang

Michael Saxon

Jiachen Li

Hongyang Zhang

Kun Zhang

...

2022/6/10

Multilingual Conceptual Coverage in Text-to-Image Models

Michael Saxon

William Yang Wang

2023/7

PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers

Michael Saxon

Xinyi Wang

Wenda Xu

William Yang Wang

2021/12/16

Disparities in Text-to-Image Model Concept Possession Across Languages

Michael Saxon

William Yang Wang

2023/6/12

Users are the north star for AI transparency

arXiv preprint arXiv:2303.05500

Alex Mei

Michael Saxon

Shiyu Chang

Zachary C Lipton

William Yang Wang

2023/3/9

Data Augmentation for Diverse Voice Conversion in Noisy Environments

Avani Tanna

Michael Saxon

Amr El Abbadi

William Yang Wang

2023/5/18

Visual chain of thought: Bridging logical gaps with multimodal infillings

arXiv preprint arXiv:2305.02317

Daniel Rose

Vaishnavi Himakunthala

Andy Ouyang

Ryan He

Alex Mei

...

2023/5/3

Let’s think frame by frame with VIP: A video infilling and prediction dataset for evaluating video chain-of-thought

Vaishnavi Himakunthala

Andy Ouyang

Daniel Rose

Ryan He

Alex Mei

...

2023/12

Wikiwhy: Answering and explaining cause-and-effect questions

arXiv preprint arXiv:2210.12152

Matthew Ho

Aditya Sharma

Justin Chang

Michael Saxon

Sharon Levy

...

2022/10/21

Self-supervised knowledge assimilation for expert-layman text style transfer

Proceedings of the AAAI Conference on Artificial Intelligence

Wenda Xu

Michael Saxon

Misha Sra

William Yang Wang

2022/6/28

CausalDialogue: Modeling Utterance-level Causality in Conversations

arXiv preprint arXiv:2212.10515

Yi-Lin Tuan

Alon Albalak

Wenda Xu

Michael Saxon

Connor Pryor

...

2022/12/20

Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis

Wenda Xu

Yi-Lin Tuan

Yujie Lu

Michael Saxon

Lei Li

...

2022/10/10

Counterfactual maximum likelihood estimation for training deep networks

NeurIPS 2021

Xinyi Wang

Wenhu Chen

Michael Saxon

William Yang Wang

2021/6/7

Modeling Disclosive Transparency in NLP Application Descriptions

Michael Saxon

Sharon Levy

Xinyi Wang

Alon Albalak

William Yang Wang

2021/1/2

End-to-End Spoken Language Understanding for Generalized Voice Assistants

Michael Saxon

Samridhi Choudhary

Joseph P McKenna

Athanasios Mouchtaris

2021/9

Investigating Memorization of Conspiracy Theories in Text Generation

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Sharon Levy

Michael Saxon

William Yang Wang

2021/8

See List of Professors in Michael Saxon University(University of California, Santa Barbara)

Co-Authors

H-index: 59
William Yang Wang

William Yang Wang

University of California, Santa Barbara

H-index: 53
Zachary C. Lipton

Zachary C. Lipton

Carnegie Mellon University

H-index: 30
Visar Berisha

Visar Berisha

Arizona State University

H-index: 18
Liangming Pan

Liangming Pan

National University of Singapore

H-index: 13
Wanrong Zhu

Wanrong Zhu

University of California, Santa Barbara

H-index: 10
Yi-Lin Tuan

Yi-Lin Tuan

University of California, Santa Barbara

academic-engine