Michael Saxon

According to our database, Michael Saxon authored at least 37 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automatically Correcting Large Language Models: <i>Surveying the Landscape of Diverse Automated Correction Strategies</i>.

Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang

Trans. Assoc. Comput. Linguistics, 2024

Benchmarks as Microscopes: A Call for Model Metrology.

Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra

CoRR, 2024

VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs.

Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang

CoRR, 2024

TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation.

Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang

CoRR, 2024

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

Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma, William Yang Wang

CoRR, 2024

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

Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts.

Aditya Sharma, Michael Saxon, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.

Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang

CoRR, 2023

Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction.

Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang

CoRR, 2023

Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings.

Daniel Rose, Vaishnavi Himakunthala, Andy Ouyang, Ryan He, Alex Mei, Yujie Lu, Michael Saxon, Chinmay Sonar, Diba Mirza, William Yang Wang

CoRR, 2023

Users are the North Star for AI Transparency.

Alex Mei, Michael Saxon, Shiyu Chang, Zachary C. Lipton, William Yang Wang

CoRR, 2023

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.

Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data Augmentation for Diverse Voice Conversion in Noisy Environments.

Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Causal Balancing for Domain Generalization.

Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

WikiWhy: Answering and Explaining Cause-and-Effect Questions.

Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Michael Saxon, William Yang Wang

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

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, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

CausalDialogue: Modeling Utterance-level Causality in Conversations.

Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multilingual Conceptual Coverage in Text-to-Image Models.

Michael Saxon, William Yang Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

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

Wenda Xu, Yi-Lin Tuan, Yujie Lu, Michael Saxon, Lei Li, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer.

Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets.

Michael Saxon, Xinyi Wang, William Yang Wang

CoRR, 2021

Dimensions of Transparency in NLP Applications.

Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang

CoRR, 2021

The Truth is Out There: Investigating Conspiracy Theories in Text Generation.

Sharon Levy, Michael Saxon, William Yang Wang

CoRR, 2021

Counterfactual Maximum Likelihood Estimation for Training Deep Networks.

Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Michael Saxon, Samridhi Choudhary, Joseph P. McKenna, Athanasios Mouchtaris

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Modeling Disclosive Transparency in NLP Application Descriptions.

Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Investigating Memorization of Conspiracy Theories in Text Generation.

Sharon Levy, Michael Saxon, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Robust Estimation of Hypernasality in Dysarthria With Acoustic Model Likelihood Features.

Michael Saxon, Ayush Tripathi, Yishan Jiao, Julie M. Liss, Visar Berisha

IEEE ACM Trans. Audio Speech Lang. Process., 2020

UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech.

Meredith Moore, Piyush Papreja, Michael Saxon, Visar Berisha, Sethuraman Panchanathan

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Semantic Complexity in End-to-End Spoken Language Understanding.

Joseph P. McKenna, Samridhi Choudhary, Michael Saxon, Grant P. Strimel, Athanasios Mouchtaris

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Robust Estimation of Hypernasality in Dysarthria.

Michael Saxon, Ayush Tripathi, Yishan Jiao, Julie Liss, Visar Berisha

CoRR, 2019

Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make.

Meredith Moore, Michael Saxon, Hemanth Venkateswara, Visar Berisha, Sethuraman Panchanathan

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Objective Measures of Plosive Nasalization in Hypernasal Speech.

Michael Saxon, Julie Liss, Visar Berisha

Proceedings of the IEEE International Conference on Acoustics, 2019

Word Pair Convolutional Model for Happy Moment Classification.

Michael Saxon, Samarth Bhandari, Lewis Ruskin, Gabrielle Honda

Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2019

2018

Chat-Box: Proposing a Mood Analyzer for Individuals with Social Interaction Disabilities.

Bineeta Gupta, Michael Saxon, Troy McDaniel, Sethuraman Panchanathan

Proceedings of the HCI International 2018 - Posters' Extended Abstracts, 2018