Chat-Box: Proposing a Mood Analyzer for Individuals with Social Interaction Disabilities. - Bineeta Gupta; Michael Saxon; Troy McDaniel; Sethuraman Panchanathan (HCI (29), 2018)

Word Pair Convolutional Model for Happy Moment Classification. - Michael Saxon; Samarth Bhandari; Lewis Ruskin; Gabrielle Honda (AffCon@AAAI, 2019)

Objective Measures of Plosive Nasalization in Hypernasal Speech. - Michael Saxon; Julie Liss; Visar Berisha (ICASSP, 2019)

Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make. - Meredith Moore 001; Michael Saxon; Hemanth Venkateswara; Visar Berisha; Sethuraman Panchanathan (INTERSPEECH, 2019)

Robust Estimation of Hypernasality in Dysarthria. - Michael Saxon; Ayush Tripathi; Yishan Jiao; Julie Liss; Visar Berisha (CoRR, 2019)

Semantic Complexity in End-to-End Spoken Language Understanding. - Joseph P. McKenna; Samridhi Choudhary; Michael Saxon; Grant P. Strimel; Athanasios Mouchtaris (INTERSPEECH, 2020)

UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech. - Meredith Moore 001; Piyush Papreja; Michael Saxon; Visar Berisha; Sethuraman Panchanathan (INTERSPEECH, 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)

Investigating Memorization of Conspiracy Theories in Text Generation. - Sharon Levy; Michael Saxon; William Yang Wang (ACL/IJCNLP (Findings), 2021)

Modeling Disclosive Transparency in NLP Application Descriptions. - Michael Saxon; Sharon Levy; Xinyi Wang 003; Alon Albalak; William Yang Wang (EMNLP (1), 2021)

End-to-End Spoken Language Understanding for Generalized Voice Assistants. - Michael Saxon; Samridhi Choudhary; Joseph P. McKenna; Athanasios Mouchtaris (Interspeech, 2021)

Counterfactual Maximum Likelihood Estimation for Training Deep Networks. - Xinyi Wang 003; Wenhu Chen; Michael Saxon; William Yang Wang (NeurIPS, 2021)

The Truth is Out There: Investigating Conspiracy Theories in Text Generation. - Sharon Levy; Michael Saxon; William Yang Wang (CoRR, 2021)

Dimensions of Transparency in NLP Applications. - Michael Saxon; Sharon Levy; Xinyi Wang 003; Alon Albalak; William Yang Wang (CoRR, 2021)

Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets. - Michael Saxon; Xinyi Wang 003; William Yang Wang (CoRR, 2021)

Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer. - Wenda Xu; Michael Saxon; Misha Sra; William Yang Wang (AAAI, 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 005; William Yang Wang (EMNLP (Findings), 2022)

Multilingual Conceptual Coverage in Text-to-Image Models. - Michael Saxon; William Yang Wang (ACL (1), 2023)

CausalDialogue: Modeling Utterance-level Causality in Conversations. - Yi-Lin Tuan; Alon Albalak; Wenda Xu; Michael Saxon; Connor Pryor; Lise Getoor; William Yang Wang (ACL (Findings), 2023)

PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers. - Michael Saxon; Xinyi Wang 003; Wenda Xu; William Yang Wang (EACL, 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 (EMNLP, 2023)

Disparities in Text-to-Image Model Concept Possession Across Languages. - Michael Saxon; William Yang Wang (FAccT, 2023)

WikiWhy: Answering and Explaining Cause-and-Effect Questions. - Matthew Ho; Aditya Sharma; Justin Chang; Michael Saxon; Sharon Levy; Yujie Lu; William Yang Wang (ICLR, 2023)

Causal Balancing for Domain Generalization. - Xinyi Wang 003; Michael Saxon; Jiachen Li; Hongyang Zhang 001; Kun Zhang 001; William Yang Wang (ICLR, 2023)

Data Augmentation for Diverse Voice Conversion in Noisy Environments. - Avani Tanna; Michael Saxon; Amr El Abbadi; William Yang Wang (INTERSPEECH, 2023)

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning. - Xinyi Wang 003; Wanrong Zhu; Michael Saxon; Mark Steyvers; William Yang Wang (NeurIPS, 2023)

Users are the North Star for AI Transparency. - Alex Mei; Michael Saxon; Shiyu Chang; Zachary C. Lipton; 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)

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)

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. - Liangming Pan; Michael Saxon; Wenda Xu; Deepak Nathani; Xinyi Wang 003; William Yang Wang (CoRR, 2023)

Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts. - Aditya Sharma; Michael Saxon; William Yang Wang (EMNLP (Findings), 2024)

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. - Michael Saxon; Yiran Luo 001; Sharon Levy; Chitta Baral; Yezhou Yang; William Yang Wang (NAACL (Short Papers), 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 (NeurIPS, 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)

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 001; Shiyu Chang (CoRR, 2024)

Benchmarks as Microscopes: A Call for Model Metrology. - Michael Saxon; Ari Holtzman; Peter West; William Yang Wang; Naomi Saphra (CoRR, 2024)

Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies. - Liangming Pan; Michael Saxon; Wenda Xu; Deepak Nathani; Xinyi Wang 003; William Yang Wang (Trans. Assoc. Comput. Linguistics, 2024)

Can Vision Language Models Understand Mimed Actions? - Hyundong Justin Cho; Spencer Lin; Tejas Srinivasan; Michael Saxon; Deuksin Kwon; Natali T. Chavez; Jonathan May (ACL (Findings), 2025)

TC-Bench: Benchmarking Temporal Compositionality in Conditional Video Generation. - Weixi Feng; Jiachen Li; Michael Saxon; Tsu-Jui Fu; Wenhu Chen; William Yang Wang (ACL (Findings), 2025)

THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models. - Xiao Pu 010; Michael Saxon; Wenyue Hua; William Yang Wang (CoRR, 2025)

CAIRe: Cultural Attribution of Images by Retrieval-Augmented Evaluation. - Arnav Yayavaram; Siddharth Yayavaram; Simran Khanuja; Michael Saxon; Graham Neubig (CoRR, 2025)