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2020 – today
- 2024
[j3]Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang:
Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies. Trans. Assoc. Comput. Linguistics 12: 484-506 (2024)- [j2]Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang:
Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies. Trans. Assoc. Comput. Linguistics 12: 484-506 (2024) - [c22]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. NAACL (Short Papers) 2024: 572-582 - [i24]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 abs/2403.11092 (2024) - [i23]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 abs/2404.04251 (2024) - [i22]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 abs/2406.08656 (2024) - [i21]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 abs/2406.16851 (2024) - [i20]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 abs/2407.01863 (2024) - [i19]Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra:
Benchmarks as Microscopes: A Call for Model Metrology. CoRR abs/2407.16711 (2024) - 2023
- [c21]Michael Saxon
, William Yang Wang:
Multilingual Conceptual Coverage in Text-to-Image Models. ACL (1) 2023: 4831-4848 - [c20]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: 12506-12522 - [c19]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: 3053-3066 - [c18]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: 204-219 - [c17]Michael Saxon, William Yang Wang:
Disparities in Text-to-Image Model Concept Possession Across Languages. FAccT 2023: 1870 - [c16]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 - [c15]Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang:
Causal Balancing for Domain Generalization. ICLR 2023 - [c14]Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang:
Data Augmentation for Diverse Voice Conversion in Noisy Environments. INTERSPEECH 2023: 2024-2025 - [c13]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 - [i18]Alex Mei, Michael Saxon, Shiyu Chang, Zachary C. Lipton, William Yang Wang:
Users are the North Star for AI Transparency. CoRR abs/2303.05500 (2023) - [i17]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 abs/2305.02317 (2023) - [i16]Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang:
Data Augmentation for Diverse Voice Conversion in Noisy Environments. CoRR abs/2305.10684 (2023) - [i15]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 abs/2305.13903 (2023) - [i14]Michael Saxon, William Yang Wang:
Multilingual Conceptual Coverage in Text-to-Image Models. CoRR abs/2306.01735 (2023) - [i13]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 abs/2308.03188 (2023) - 2022
- [c12]Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang:
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer. AAAI 2022: 11566-11574 - [c11]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: 6559-6574 - [i12]Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang:
Causal Balancing for Domain Generalization. CoRR abs/2206.05263 (2022) - [i11]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 abs/2210.05035 (2022) - [i10]Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang:
WikiWhy: Answering and Explaining Cause-and-Effect Questions. CoRR abs/2210.12152 (2022) - [i9]Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang:
CausalDialogue: Modeling Utterance-level Causality in Conversations. CoRR abs/2212.10515 (2022) - 2021
- [c10]Sharon Levy, Michael Saxon, William Yang Wang:
Investigating Memorization of Conspiracy Theories in Text Generation. ACL/IJCNLP (Findings) 2021: 4718-4729 - [c9]Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang:
Modeling Disclosive Transparency in NLP Application Descriptions. EMNLP (1) 2021: 2023-2037 - [c8]Michael Saxon, Samridhi Choudhary, Joseph P. McKenna, Athanasios Mouchtaris:
End-to-End Spoken Language Understanding for Generalized Voice Assistants. Interspeech 2021: 4738-4742 - [c7]Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang:
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. NeurIPS 2021: 25072-25085 - [i8]Sharon Levy, Michael Saxon, William Yang Wang:
The Truth is Out There: Investigating Conspiracy Theories in Text Generation. CoRR abs/2101.00379 (2021) - [i7]Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang:
Dimensions of Transparency in NLP Applications. CoRR abs/2101.00433 (2021) - [i6]Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang:
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. CoRR abs/2106.03831 (2021) - [i5]Michael Saxon, Samridhi Choudhary, Joseph P. McKenna, Athanasios Mouchtaris:
End-to-End Spoken Language Understanding for Generalized Voice Assistants. CoRR abs/2106.09009 (2021) - [i4]Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang:
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer. CoRR abs/2110.02950 (2021) - [i3]Michael Saxon, Xinyi Wang, William Yang Wang:
Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets. CoRR abs/2112.09237 (2021) - 2020
- [j1]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: 2511-2522 (2020) - [c6]Meredith Moore, Piyush Papreja, Michael Saxon, Visar Berisha, Sethuraman Panchanathan:
UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech. INTERSPEECH 2020: 2532-2536 - [c5]Joseph P. McKenna, Samridhi Choudhary, Michael Saxon, Grant P. Strimel, Athanasios Mouchtaris:
Semantic Complexity in End-to-End Spoken Language Understanding. INTERSPEECH 2020: 4273-4277 - [i2]Joseph P. McKenna, Samridhi Choudhary, Michael Saxon, Grant P. Strimel, Athanasios Mouchtaris:
Semantic Complexity in End-to-End Spoken Language Understanding. CoRR abs/2008.02858 (2020)
2010 – 2019
- 2019
- [c4]Michael Saxon, Samarth Bhandari, Lewis Ruskin, Gabrielle Honda:
Word Pair Convolutional Model for Happy Moment Classification. AffCon@AAAI 2019: 111-119 - [c3]Michael Saxon, Julie Liss, Visar Berisha:
Objective Measures of Plosive Nasalization in Hypernasal Speech. ICASSP 2019: 6520-6524 - [c2]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: 2528-2532 - [i1]Michael Saxon, Ayush Tripathi, Yishan Jiao, Julie Liss, Visar Berisha:
Robust Estimation of Hypernasality in Dysarthria. CoRR abs/1911.11360 (2019) - 2018
- [c1]Bineeta Gupta, Michael Saxon, Troy McDaniel, Sethuraman Panchanathan:
Chat-Box: Proposing a Mood Analyzer for Individuals with Social Interaction Disabilities. HCI (29) 2018: 394-401
Coauthor Index
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last updated on 2024-10-25 20:14 CEST by the dblp team
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