Michael Saxon

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 47

Top Topics

Text Generation

Adjacent Frames

Robust Estimation

Top Venues

Publications

Aditya Sharma, Michael Saxon, William Yang Wang
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts. CoRR (2024)
Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra
Benchmarks as Microscopes: A Call for Model Metrology. CoRR (2024)
Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang
VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs. CoRR (2024)
Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
. Trans. Assoc. Comput. Linguistics 12 (2024)
Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma, William Yang Wang
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2). CoRR (2024)
Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation. CoRR (2024)
Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. CoRR (2024)
Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang
Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction. CoRR (2023)
Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. CoRR (2023)
Michael Saxon, William Yang Wang
Disparities in Text-to-Image Model Concept Possession Across Languages. FAccT (2023)
Daniel Rose, Vaishnavi Himakunthala, Andy Ouyang, Ryan He, Alex Mei, Yujie Lu, Michael Saxon, Chinmay Sonar, Diba Mirza, William Yang Wang
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings. CoRR (2023)
Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning. NeurIPS (2023)
Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
Causal Balancing for Domain Generalization. ICLR (2023)
Michael Saxon, William Yang Wang
Multilingual Conceptual Coverage in Text-to-Image Models. ACL (1) (2023)
Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang
Data Augmentation for Diverse Voice Conversion in Noisy Environments. INTERSPEECH (2023)
Michael Saxon, Xinyi Wang, Wenda Xu, William Yang Wang
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers. EACL (2023)
Alex Mei, Michael Saxon, Shiyu Chang, Zachary C. Lipton, William Yang Wang
Users are the North Star for AI Transparency. CoRR (2023)
Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang
Data Augmentation for Diverse Voice Conversion in Noisy Environments. CoRR (2023)
Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang
CausalDialogue: Modeling Utterance-level Causality in Conversations. ACL (Findings) (2023)
Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang
WikiWhy: Answering and Explaining Cause-and-Effect Questions. ICLR (2023)
Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang
Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought. EMNLP (2023)
Michael Saxon, William Yang Wang
Multilingual Conceptual Coverage in Text-to-Image Models. CoRR (2023)
Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
Causal Balancing for Domain Generalization. CoRR (2022)
Wenda Xu, Yi-Lin Tuan, Yujie Lu, Michael Saxon, Lei Li, William Yang Wang
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis. EMNLP (Findings) (2022)
Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer. AAAI (2022)
Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang
CausalDialogue: Modeling Utterance-level Causality in Conversations. CoRR (2022)
Wenda Xu, Yi-Lin Tuan, Yujie Lu, Michael Saxon, Lei Li, William Yang Wang
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis. CoRR (2022)
Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang
WikiWhy: Answering and Explaining Cause-and-Effect Questions. CoRR (2022)
Michael Saxon, Xinyi Wang, William Yang Wang
Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets. CoRR (2021)
Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. CoRR (2021)
Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang
Modeling Disclosive Transparency in NLP Application Descriptions. EMNLP (1) (2021)
Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang
Dimensions of Transparency in NLP Applications. CoRR (2021)
Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. NeurIPS (2021)
Sharon Levy, Michael Saxon, William Yang Wang
The Truth is Out There: Investigating Conspiracy Theories in Text Generation. CoRR (2021)
Sharon Levy, Michael Saxon, William Yang Wang
Investigating Memorization of Conspiracy Theories in Text Generation. ACL/IJCNLP (Findings) (2021)
Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer. CoRR (2021)
Michael Saxon, Samridhi Choudhary, Joseph P. McKenna, Athanasios Mouchtaris
End-to-End Spoken Language Understanding for Generalized Voice Assistants. Interspeech (2021)
Michael Saxon, Samridhi Choudhary, Joseph P. McKenna, Athanasios Mouchtaris
End-to-End Spoken Language Understanding for Generalized Voice Assistants. CoRR (2021)
Meredith Moore, Piyush Papreja, Michael Saxon, Visar Berisha, Sethuraman Panchanathan
UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech. INTERSPEECH (2020)
Michael Saxon, Ayush Tripathi, Yishan Jiao, Julie M. Liss, Visar Berisha
Robust Estimation of Hypernasality in Dysarthria With Acoustic Model Likelihood Features. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Joseph P. McKenna, Samridhi Choudhary, Michael Saxon, Grant P. Strimel, Athanasios Mouchtaris
Semantic Complexity in End-to-End Spoken Language Understanding. CoRR (2020)
Joseph P. McKenna, Samridhi Choudhary, Michael Saxon, Grant P. Strimel, Athanasios Mouchtaris
Semantic Complexity in End-to-End Spoken Language Understanding. INTERSPEECH (2020)
Meredith Moore, Michael Saxon, Hemanth Venkateswara, Visar Berisha, Sethuraman Panchanathan
Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make. INTERSPEECH (2019)
Michael Saxon, Julie Liss, Visar Berisha
Objective Measures of Plosive Nasalization in Hypernasal Speech. ICASSP (2019)
Michael Saxon, Ayush Tripathi, Yishan Jiao, Julie Liss, Visar Berisha
Robust Estimation of Hypernasality in Dysarthria. CoRR (2019)
Michael Saxon, Samarth Bhandari, Lewis Ruskin, Gabrielle Honda
Word Pair Convolutional Model for Happy Moment Classification. AffCon@AAAI (2019)
Bineeta Gupta, Michael Saxon, Troy McDaniel, Sethuraman Panchanathan
Chat-Box: Proposing a Mood Analyzer for Individuals with Social Interaction Disabilities. HCI (29) (2018)