Jesse Thomason
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
21
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning. | Wei Yang, Jesse Thomason |
| 2026 | ACL | Iterative Formalization and Planning in Partially Observable Environments. | Liancheng Gong, Wang Bill Zhu, Jesse Thomason, Li Zhang |
| 2026 | ACL | Words that make SENSE: Sensorimotor Norms in Learned Lexical Token Representations. | Abhinav Gupta, Toben H. Mintz, Jesse Thomason |
| 2026 | ACL | Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations. | Keyu He, Tejas Srinivasan, Brihi Joshi, Xiang Ren, Jesse Thomason, Swabha Swayamdipta |
| 2026 | IUI | Adjust for Trust: Mitigating Trust-Induced Inappropriate Reliance on AI Assistance. | Tejas Srinivasan, Jesse Thomason |
| 2026 | SIGdial | DiPS: Dialogue Policy Selection for High-Stakes Persuasion Agents. | Tianyi Zhang, Mousumi Das, Abrar Anwar, Jesse Thomason, David Traum |
| 2025 | CHI | Promoting Cognitive Health in Elder Care with Large Language Model-Powered Socially Assistive Robots. | Maria R. Lima, Amy O'Connell, Feiyang Zhou, Alethea Nagahara, Avni Hulyalkar, Anura Deshpande, Jesse Thomason, Ravi Vaidyanathan, Maja J. Mataric |
| 2025 | EMNLP | Can VLMs Recall Factual Associations From Visual References? | Dhananjay Ashok, Ashutosh Chaubey, Hirona Jacqueline Arai, Jonathan May, Jesse Thomason |
| 2025 | EMNLP | Why Do Some Inputs Break Low-Bit LLM Quantization? | Ting-Yun Chang, Muru Zhang, Jesse Thomason, Robin Jia |
| 2025 | EMNLP | Large Language Models Do Multi-Label Classification Differently. | Marcus Ma, Georgios Chochlakis, Niyantha Maruthu Pandiyan, Jesse Thomason, Shrikanth Narayanan |
| 2025 | ICMI | Multimodal Synthetic Data Finetuning and Model Collapse: Insights from VLMs and Diffusion Models. | Zizhao Hu, Mohammad Rostami, Jesse Thomason |
| 2025 | NAACL | The American Sign Language Knowledge Graph: Infusing ASL Models with Linguistic Knowledge. | Lee Kezar, Nidhi Munikote, Zian Zeng, Zed Sevcikova Sehyr, Naomi Caselli, Jesse Thomason |
| 2025 | NAACL | Language Models Can Infer Action Semantics for Symbolic Planners from Environment Feedback. | Wang Bill Zhu, Ishika Singh, Robin Jia, Jesse Thomason |
| 2024 | ACL | Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. | Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu |
| 2024 | CoRL | Contrast Sets for Evaluating Language-Guided Robot Policies. | Abrar Anwar, Rohan Gupta, Jesse Thomason |
| 2024 | EMNLP | When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models. | Ting-Yun Chang, Jesse Thomason, Robin Jia |
| 2024 | IROS | ViSaRL: Visual Reinforcement Learning Guided by Human Saliency. | Anthony Liang, Jesse Thomason, Erdem Biyik |
| 2024 | NAACL | Efficient End-to-End Visual Document Understanding with Rationale Distillation. | Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova |
| 2024 | NAACL | Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks. | Ting-Yun Chang, Jesse Thomason, Robin Jia |
| 2024 | NAACL | Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding. | Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason |
| 2024 | VECoS | Systematic Translation from Natural Language Robot Task Descriptions to STL. | Sara Mohammadinejad, Sheryl Paul, Yuan Xia, Vidisha Kudalkar, Jesse Thomason, Jyotirmoy V. Deshmukh |
| 2023 | ASSETS | The Sem-Lex Benchmark: Modeling ASL Signs and their Phonemes. | Lee Kezar, Jesse Thomason, Naomi Caselli, Zed Sevcikova Sehyr, Elana Pontecorvo |
| 2023 | CVPR | Iterative Vision-and-Language Navigation. | Jacob Krantz, Shurjo Banerjee, Wang Zhu, Jason J. Corso, Peter Anderson, Stefan Lee, Jesse Thomason |
| 2023 | CVPR | Curriculum Learning for Data-Efficient Vision-Language Alignment. | Tejas Srinivasan, Xiang Ren, Jesse Thomason |
| 2023 | EACL | Improving Sign Recognition with Phonology. | Lee Kezar, Jesse Thomason, Zed Sevcikova Sehyr |
| 2023 | EMNLP | Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering. | Wang Zhu, Jesse Thomason, Robin Jia |
| 2023 | EMNLP | Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. | Yuliang Cai, Jesse Thomason, Mohammad Rostami |
| 2023 | ESANN | Exploring Strategies for Modeling Sign Language Phonology. | Lee Kezar, Tejas Srinivasan, Riley Carlin, Jesse Thomason, Zed Sevcikova Sehyr, Naomi Caselli |
| 2023 | Interspeech | Multimodal Speech Recognition for Language-Guided Embodied Agents. | Allen Chang, Xiaoyuan Zhu, Aarav Monga, Seoho Ahn, Tejas Srinivasan, Jesse Thomason |
| 2023 | IROS | RREx-BoT: Remote Referring Expressions with a Bag of Tricks. | Gunnar A. Sigurdsson, Jesse Thomason, Gaurav S. Sukhatme, Robinson Piramuthu |
| 2023 | ICRA | ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. | Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg |
| 2022 | AAAI | TEACh: Task-Driven Embodied Agents That Chat. | Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gkhan Tr, Dilek Hakkani-Tr |
| 2022 | ACL | Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions. | Jing Gu, Eliana Stefani, Qi Wu, Jesse Thomason, Xin Wang |
| 2022 | EMNLP | Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems. | Wang Zhu, Jesse Thomason, Robin Jia |
| 2022 | EMNLP | ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments. | Arjun R. Akula, Spandana Gella, Aishwarya Padmakumar, Mahdi Namazifar, Mohit Bansal, Jesse Thomason, Dilek Hakkani-Tur |
| 2022 | ICML | SSL Enables Learning from Sparse Rewards in Image-Goal Navigation. | Arjun Majumdar, Gunnar A. Sigurdsson, Robinson Piramuthu, Jesse Thomason, Dhruv Batra, Gaurav S. Sukhatme |
| 2021 | CoRL | Language Grounding with 3D Objects. | Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer |
| 2020 | CoRL | The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation. | Shurjo Banerjee, Jesse Thomason, Jason J. Corso |
| 2020 | CVPR | ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. | Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox |
| 2020 | EMNLP | Experience Grounds Language. | Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph P. Turian |
| 2020 | EMNLP | RMM: A Recursive Mental Model for Dialog Navigation. | Homero Roman Roman, Yonatan Bisk, Jesse Thomason, Asli Celikyilmaz, Jianfeng Gao |
| 2019 | CoRL | Vision-and-Dialog Navigation. | Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer |
| 2019 | ICRA | Prospection: Interpretable plans from language by predicting the future. | Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox |
| 2019 | IROS | Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog. | Saeid Amiri, Sujay Bajracharya, Cihangir Goktolga, Jesse Thomason, Shiqi Zhang |
| 2019 | IROS | Improving Robot Success Detection using Static Object Data. | Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa |
| 2019 | ICRA | Improving Grounded Natural Language Understanding through Human-Robot Dialog. | Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney |
| 2019 | NAACL | Shifting the Baseline: Single Modality Performance on Visual Navigation & QA. | Jesse Thomason, Daniel Gordon, Yonatan Bisk |
| 2018 | AAAI | Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing. | Wesley Tansey, Jesse Thomason, James G. Scott |
| 2018 | AAAI | Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. | Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone |
| 2018 | IJCAI | Multi-modal Predicate Identification using Dynamically Learned Robot Controllers. | Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone |
| 2017 | ACL | Guiding Interaction Behaviors for Multi-modal Grounded Language Learning. | Jesse Thomason, Jivko Sinapov, Raymond J. Mooney |
| 2017 | CoRL | Opportunistic Active Learning for Grounding Natural Language Descriptions. | Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney |
| 2017 | EACL | Integrated Learning of Dialog Strategies and Semantic Parsing. | Aishwarya Padmakumar, Jesse Thomason, Raymond J. Mooney |
| 2017 | IJCAI | Multi-Modal Word Synset Induction. | Jesse Thomason, Raymond J. Mooney |
| 2017 | IJCNLP | Improving Black-box Speech Recognition using Semantic Parsing. | Rodolfo Corona, Jesse Thomason, Raymond J. Mooney |
| 2016 | IJCAI | Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". | Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney |
| 2015 | IJCAI | Learning to Interpret Natural Language Commands through Human-Robot Dialog. | Jesse Thomason, Shiqi Zhang, Raymond J. Mooney, Peter Stone |
| 2014 | COLING | Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. | Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Raymond J. Mooney |