Michael Saxon

60 papers A* 8A 6Misc 1Journal 31Unranked 14
YearRankTypeTitle / Venue / Authors
2026 — conf
CAIRE: Cultural Attribution of Images with Retrieval.
EACL (Volume 1: Long Papers)
Arnav Yayavaram, Siddharth Yayavaram, Simran Khanuja, Michael Saxon, Graham Neubig
2026 J jnl
VEAT Quantifies Implicit Associations in Text-to-Video Generator Sora and Reveals Challenges in Bias Mitigation.
CoRR
Yongxu Sun, Michael Saxon, Ian Yang, Anna-Maria Gueorguieva, Aylin Caliskan
2025 J jnl
CAIRe: Cultural Attribution of Images by Retrieval-Augmented Evaluation.
CoRR
Arnav Yayavaram, Siddharth Yayavaram, Simran Khanuja, Michael Saxon, Graham Neubig
2025 — conf
Can Vision Language Models Understand Mimed Actions?
ACL (Findings)
Hyundong Justin Cho, Spencer Lin, Tejas Srinivasan, Michael Saxon, Deuksin Kwon, Natali T. Chavez, Jonathan May
2025 — conf
Culture is Everywhere: A Call for Intentionally Cultural Evaluation.
EMNLP (Findings)
Juhyun Oh, Inha Cha, Michael Saxon, Hyunseung Lim, Shaily Bhatt, Alice Oh
2025 J jnl
Culture is Everywhere: A Call for Intentionally Cultural Evaluation.
CoRR
Juhyun Oh, Inha Cha, Michael Saxon, Hyunseung Lim, Shaily Bhatt, Alice Oh
2025 A* conf
Do You Know About My Nation? Investigating Multilingual Language Models' Cultural Literacy Through Factual Knowledge.
EMNLP
Eshaan Tanwar, Anwoy Chatterjee, Michael Saxon, Alon Albalak, William Yang Wang, Tanmoy Chakraborty
2025 J jnl
Do You Know About My Nation? Investigating Multilingual Language Models' Cultural Literacy Through Factual Knowledge.
CoRR
Eshaan Tanwar, Anwoy Chatterjee, Michael Saxon, Alon Albalak, William Yang Wang, Tanmoy Chakraborty
2025 — conf
TC-Bench: Benchmarking Temporal Compositionality in Conditional Video Generation.
ACL (Findings)
Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang
2025 J jnl
THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models.
CoRR
Xiao Pu, Michael Saxon, Wenyue Hua, William Yang Wang
2024 J jnl
Automatically Correcting Large Language Models:
Trans. Assoc. Comput. Linguistics
Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
2024 J jnl
Benchmarks as Microscopes: A Call for Model Metrology.
CoRR
Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra
2024 — conf
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts.
EMNLP (Findings)
Aditya Sharma, Michael Saxon, William Yang Wang
2024 J jnl
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts.
CoRR
Aditya Sharma, Michael Saxon, William Yang Wang
2024 — conf
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts.
NAACL (Short Papers)
Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang
2024 J jnl
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts.
CoRR
Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang
2024 J jnl
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation.
CoRR
Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang
2024 J jnl
VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs.
CoRR
Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang
2024 A* conf
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2).
NeurIPS
Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma, William Yang Wang
2024 J jnl
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2).
CoRR
Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma, William Yang Wang
2023 J jnl
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.
CoRR
Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
2023 A* conf
Causal Balancing for Domain Generalization.
ICLR
Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
2023 — conf
CausalDialogue: Modeling Utterance-level Causality in Conversations.
ACL (Findings)
Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang
2023 A conf
Data Augmentation for Diverse Voice Conversion in Noisy Environments.
INTERSPEECH
Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang
2023 J jnl
Data Augmentation for Diverse Voice Conversion in Noisy Environments.
CoRR
Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang
2023 — conf
Disparities in Text-to-Image Model Concept Possession Across Languages.
FAccT
Michael Saxon, William Yang Wang
2023 A* conf
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.
NeurIPS
Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang
2023 A* conf
Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought.
EMNLP
Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang
2023 J jnl
Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction.
CoRR
Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang
2023 — conf
Multilingual Conceptual Coverage in Text-to-Image Models.
ACL (1)
Michael Saxon, William Yang Wang
2023 J jnl
Multilingual Conceptual Coverage in Text-to-Image Models.
CoRR
Michael Saxon, William Yang Wang
2023 A conf
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers.
EACL
Michael Saxon, Xinyi Wang, Wenda Xu, William Yang Wang
2023 J jnl
Users are the North Star for AI Transparency.
CoRR
Alex Mei, Michael Saxon, Shiyu Chang, Zachary C. Lipton, William Yang Wang
2023 J jnl
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings.
CoRR
Daniel Rose, Vaishnavi Himakunthala, Andy Ouyang, Ryan He, Alex Mei, Yujie Lu, Michael Saxon, Chinmay Sonar, Diba Mirza, William Yang Wang
2023 A* conf
WikiWhy: Answering and Explaining Cause-and-Effect Questions.
ICLR
Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang
2022 J jnl
Causal Balancing for Domain Generalization.
CoRR
Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
2022 J jnl
CausalDialogue: Modeling Utterance-level Causality in Conversations.
CoRR
Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang
2022 — conf
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis.
EMNLP (Findings)
Wenda Xu, Yi-Lin Tuan, Yujie Lu, Michael Saxon, Lei Li, William Yang Wang
2022 J jnl
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis.
CoRR
Wenda Xu, Yi-Lin Tuan, Yujie Lu, Michael Saxon, Lei Li, William Yang Wang
2022 A* conf
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer.
AAAI
Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang
2022 J jnl
WikiWhy: Answering and Explaining Cause-and-Effect Questions.
CoRR
Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang
2021 J jnl
Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets.
CoRR
Michael Saxon, Xinyi Wang, William Yang Wang
2021 A* conf
Counterfactual Maximum Likelihood Estimation for Training Deep Networks.
NeurIPS
Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang
2021 J jnl
Counterfactual Maximum Likelihood Estimation for Training Deep Networks.
CoRR
Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang
2021 J jnl
Dimensions of Transparency in NLP Applications.
CoRR
Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang
2021 A conf
End-to-End Spoken Language Understanding for Generalized Voice Assistants.
Interspeech
Michael Saxon, Samridhi Choudhary, Joseph P. McKenna, Athanasios Mouchtaris
2021 J jnl
End-to-End Spoken Language Understanding for Generalized Voice Assistants.
CoRR
Michael Saxon, Samridhi Choudhary, Joseph P. McKenna, Athanasios Mouchtaris
2021 — conf
Investigating Memorization of Conspiracy Theories in Text Generation.
ACL/IJCNLP (Findings)
Sharon Levy, Michael Saxon, William Yang Wang
2021 — conf
Modeling Disclosive Transparency in NLP Application Descriptions.
EMNLP (1)
Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang
2021 J jnl
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer.
CoRR
Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang
2021 J jnl
The Truth is Out There: Investigating Conspiracy Theories in Text Generation.
CoRR
Sharon Levy, Michael Saxon, William Yang Wang
2020 J jnl
Robust Estimation of Hypernasality in Dysarthria With Acoustic Model Likelihood Features.
IEEE ACM Trans. Audio Speech Lang. Process.
Michael Saxon, Ayush Tripathi, Yishan Jiao, Julie M. Liss, Visar Berisha
2020 A conf
Semantic Complexity in End-to-End Spoken Language Understanding.
INTERSPEECH
Joseph P. McKenna, Samridhi Choudhary, Michael Saxon, Grant P. Strimel, Athanasios Mouchtaris
2020 J jnl
Semantic Complexity in End-to-End Spoken Language Understanding.
CoRR
Joseph P. McKenna, Samridhi Choudhary, Michael Saxon, Grant P. Strimel, Athanasios Mouchtaris
2020 A conf
UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech.
INTERSPEECH
Meredith Moore, Piyush Papreja, Michael Saxon, Visar Berisha, Sethuraman Panchanathan
2019 Misc conf
Objective Measures of Plosive Nasalization in Hypernasal Speech.
ICASSP
Michael Saxon, Julie Liss, Visar Berisha
2019 J jnl
Robust Estimation of Hypernasality in Dysarthria.
CoRR
Michael Saxon, Ayush Tripathi, Yishan Jiao, Julie Liss, Visar Berisha
2019 A conf
Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make.
INTERSPEECH
Meredith Moore, Michael Saxon, Hemanth Venkateswara, Visar Berisha, Sethuraman Panchanathan
2019 — conf
Word Pair Convolutional Model for Happy Moment Classification.
AffCon@AAAI
Michael Saxon, Samarth Bhandari, Lewis Ruskin, Gabrielle Honda
2018 — conf
Chat-Box: Proposing a Mood Analyzer for Individuals with Social Interaction Disabilities.
HCI (29)
Bineeta Gupta, Michael Saxon, Troy McDaniel, Sethuraman Panchanathan