Michael Saxon

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

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

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

Multilingual Conceptual Coverage in Text-to-Image Models

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

Data Augmentation for Diverse Voice Conversion in Noisy Environments

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

Google Scholar

Michael Saxon Skills & Research Interests

generative models

natural language processing

language and vision

machine learning

ethical ai

Top articles of Michael Saxon

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

arXiv preprint arXiv:2404.04251

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

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

2024/2/13

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

2023/12

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

2023/8/6

Multilingual Conceptual Coverage in Text-to-Image Models

2023/7

Michael Saxon
Michael Saxon

H-Index: 3

William Yang Wang
William Yang Wang

H-Index: 32

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

2023/6/12

Michael Saxon
Michael Saxon

H-Index: 3

William Yang Wang
William Yang Wang

H-Index: 32

Data Augmentation for Diverse Voice Conversion in Noisy Environments

2023/5/18

Visual chain of thought: Bridging logical gaps with multimodal infillings

arXiv preprint arXiv:2305.02317

2023/5/3

Wikiwhy: Answering and explaining cause-and-effect questions

arXiv preprint arXiv:2210.12152

2022/10/21

Causal Balancing for Domain Generalization

arXiv preprint arXiv:2206.05263

2022/6/10

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

2021/12/16

Users are the north star for AI transparency

arXiv preprint arXiv:2303.05500

2023/3/9

Michael Saxon
Michael Saxon

H-Index: 3

William Yang Wang
William Yang Wang

H-Index: 32

CausalDialogue: Modeling Utterance-level Causality in Conversations

arXiv preprint arXiv:2212.10515

2022/12/20

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

2022/10/10

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

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Counterfactual maximum likelihood estimation for training deep networks

NeurIPS 2021

2021/6/7

Modeling Disclosive Transparency in NLP Application Descriptions

2021/1/2

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

2021/9

Michael Saxon
Michael Saxon

H-Index: 3

Investigating Memorization of Conspiracy Theories in Text Generation

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

2021/8

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

Co-Authors

academic-engine