Jesse Thomason

139 papers A* 21A 8B 3Misc 5Journal 79Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Adjust for Trust: Mitigating Trust-Induced Inappropriate Reliance on AI Assistance. IUI Tejas Srinivasan, Jesse Thomason
2026	J	`jnl`	Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge. CoRR Wei Yang, Shixuan Li, Heng Ping, Peiyu Zhang, Paul Bogdan, Jesse Thomason
2026	J	`jnl`	Expert Personas Improve LLM Alignment but Damage Accuracy: Bootstrapping Intent-Based Persona Routing with PRISM. CoRR Zizhao Hu, Mohammad Rostami, Jesse Thomason
2026	A*	`conf`	Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning. AAAI Wei Yang, Jesse Thomason
2026	J	`jnl`	Words that make SENSE: Sensorimotor Norms in Learned Lexical Token Representations. CoRR Abhinav Gupta, Toben H. Mintz, Jesse Thomason
2025	J	`jnl`	Adjust for Trust: Mitigating Trust-Induced Inappropriate Reliance on AI Assistance. CoRR Tejas Srinivasan, Jesse Thomason
2025	J	`jnl`	Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations. CoRR Keyu He, Tejas Srinivasan, Brihi Joshi, Xiang Ren, Jesse Thomason, Swabha Swayamdipta
2025	J	`jnl`	Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems. CoRR Mert Inan, Anthony Sicilia, Suvodip Dey, Vardhan Dongre, Tejas Srinivasan, Jesse Thomason, Gökhan Tür, Dilek Hakkani-Tür, Malihe Alikhani
2025	—	`conf`	Can VLMs Recall Factual Associations From Visual References? EMNLP (Findings) Dhananjay Ashok, Ashutosh Chaubey, Hirona Jacqueline Arai, Jonathan May, Jesse Thomason
2025	J	`jnl`	Can VLMs Recall Factual Associations From Visual References? CoRR Dhananjay Ashok, Ashutosh Chaubey, Hirona Jacqueline Arai, Jonathan May, Jesse Thomason
2025	J	`jnl`	Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection. CoRR Abrar Anwar, Rohan Gupta, Zain Merchant, Sayan Ghosh, Willie Neiswanger, Jesse Thomason
2025	J	`jnl`	From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered. CoRR Siddartha Devic, Tejas Srinivasan, Jesse Thomason, Willie Neiswanger, Vatsal Sharan
2025	J	`jnl`	HAND Me the Data: Fast Robot Adaptation via Hand Path Retrieval. CoRR Matthew Hong, Anthony Liang, Kevin Kim, Harshitha Rajaprakash, Jesse Thomason, Erdem Biyik, Jesse Zhang
2025	—	`conf`	Language Models Can Infer Action Semantics for Symbolic Planners from Environment Feedback. NAACL (Long Papers) Wang Bill Zhu, Ishika Singh, Robin Jia, Jesse Thomason
2025	A*	`conf`	Large Language Models Do Multi-Label Classification Differently. EMNLP Marcus Ma, Georgios Chochlakis, Niyantha Maruthu Pandiyan, Jesse Thomason, Shrikanth Narayanan
2025	J	`jnl`	Large Language Models Do Multi-Label Classification Differently. CoRR Marcus Ma, Georgios Chochlakis, Niyantha Maruthu Pandiyan, Jesse Thomason, Shrikanth Narayanan
2025	J	`jnl`	Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning. CoRR Wei Yang, Jesse Thomason
2025	J	`jnl`	M3PT: A Transformer for Multimodal, Multi-Party Social Signal Prediction with Person-aware Blockwise Attention. CoRR Yiming Tang, Abrar Anwar, Jesse Thomason
2025	J	`jnl`	Maestro: Learning to Collaborate via Conditional Listwise Policy Optimization for Multi-Agent LLMs. CoRR Wei Yang, Jiacheng Pang, Shixuan Li, Paul Bogdan, Stephen Tu, Jesse Thomason
2025	J	`jnl`	Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations. CoRR Chancharik Mitra, Yusen Luo, Raj Saravanan, Dantong Niu, Anirudh Pai, Jesse Thomason, Trevor Darrell, Abrar Anwar, Deva Ramanan, Roei Herzig
2025	J	`jnl`	Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models. CoRR Zizhao Hu, Mohammad Rostami, Jesse Thomason
2025	B	`conf`	Multimodal Synthetic Data Finetuning and Model Collapse: Insights from VLMs and Diffusion Models. ICMI Zizhao Hu, Mohammad Rostami, Jesse Thomason
2025	J	`jnl`	PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies. CoRR Jesse Zhang, Marius Memmel, Kevin Kim, Dieter Fox, Jesse Thomason, Fabio Ramos, Erdem Biyik, Abhishek Gupta, Anqi Li
2025	J	`jnl`	PSALM-V: Automating Symbolic Planning in Interactive Visual Environments with Large Language Models. CoRR Wang Bill Zhu, Miaosen Chai, Ishika Singh, Robin Jia, Jesse Thomason
2025	J	`jnl`	Phonological Representation Learning for Isolated Signs Improves Out-of-Vocabulary Generalization. CoRR Lee Kezar, Zed Sevcikova Sehyr, Jesse Thomason
2025	A*	`conf`	Promoting Cognitive Health in Elder Care with Large Language Model-Powered Socially Assistive Robots. CHI Maria R. Lima, Amy O'Connell, Feiyang Zhou, Alethea Nagahara, Avni Hulyalkar, Anura Deshpande, Jesse Thomason, Ravi Vaidyanathan, Maja J. Mataric
2025	J	`jnl`	ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations. CoRR Jiahui Zhang, Yusen Luo, Abrar Anwar, Sumedh Anand Sontakke, Joseph J. Lim, Jesse Thomason, Erdem Biyik, Jesse Zhang
2025	J	`jnl`	RobotFleet: An Open-Source Framework for Centralized Multi-Robot Task Planning. CoRR Rohan Gupta, Trevor Asbery, Zain Merchant, Abrar Anwar, Jesse Thomason
2025	J	`jnl`	TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP. CoRR Yuliang Cai, Jesse Thomason, Mohammad Rostami
2025	—	`conf`	The American Sign Language Knowledge Graph: Infusing ASL Models with Linguistic Knowledge. NAACL (Findings) Lee Kezar, Nidhi Munikote, Zian Zeng, Zed Sevcikova Sehyr, Naomi Caselli, Jesse Thomason
2025	J	`jnl`	VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation. CoRR Heng Ping, Arijit Bhattacharjee, Peiyu Zhang, Shixuan Li, Wei Yang, Anzhe Cheng, Xiaole Zhang, Jesse Thomason, Ali Jannesari, Nesreen Ahmed, Paul Bogdan
2025	A*	`conf`	Why Do Some Inputs Break Low-Bit LLM Quantization? EMNLP Ting-Yun Chang, Muru Zhang, Jesse Thomason, Robin Jia
2025	J	`jnl`	Why Do Some Inputs Break Low-Bit LLM Quantization? CoRR Ting-Yun Chang, Muru Zhang, Jesse Thomason, Robin Jia
2025	J	`jnl`	Zero-Shot Iterative Formalization and Planning in Partially Observable Environments. CoRR Liancheng Gong, Wang Zhu, Jesse Thomason, Li Zhang
2024	Misc	`conf`	Contrast Sets for Evaluating Language-Guided Robot Policies. CoRL Abrar Anwar, Rohan Gupta, Jesse Thomason
2024	J	`jnl`	Contrast Sets for Evaluating Language-Guided Robot Policies. CoRR Abrar Anwar, Rohan Gupta, Jesse Thomason
2024	—	`conf`	Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks. NAACL-HLT Ting-Yun Chang, Jesse Thomason, Robin Jia
2024	—	`conf`	Efficient End-to-End Visual Document Understanding with Rationale Distillation. NAACL-HLT Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova
2024	J	`jnl`	Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash. CoRR Parsa Hejabi, Elnaz Rahmati, Alireza S. Ziabari, Preni Golazizian, Jesse Thomason, Morteza Dehghani
2024	J	`jnl`	Generating Contextually-Relevant Navigation Instructions for Blind and Low Vision People. CoRR Zain Merchant, Abrar Anwar, Emily Wang, Souti Chattopadhyay, Jesse Thomason
2024	J	`jnl`	Language Models can Infer Action Semantics for Classical Planners from Environment Feedback. CoRR Wang Zhu, Ishika Singh, Robin Jia, Jesse Thomason
2024	—	`conf`	Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. ACL (Findings) Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu
2024	J	`jnl`	Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. CoRR Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu
2024	—	`conf`	Systematic Translation from Natural Language Robot Task Descriptions to STL. AISoLA Sara Mohammadinejad, Sheryl Paul, Yuan Xia, Vidisha Kudalkar, Jesse Thomason, Jyotirmoy V. Deshmukh
2024	—	`conf`	THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation. Robotics: Science and Systems Wilbert Pumacay, Ishika Singh, Jiafei Duan, Ranjay Krishna, Jesse Thomason, Dieter Fox
2024	J	`jnl`	THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation. CoRR Wilbert Pumacay, Ishika Singh, Jiafei Duan, Ranjay Krishna, Jesse Thomason, Dieter Fox
2024	J	`jnl`	The American Sign Language Knowledge Graph: Infusing ASL Models with Linguistic Knowledge. CoRR Lee Kezar, Nidhi Munikote, Zian Zeng, Zed Sevcikova Sehyr, Naomi Caselli, Jesse Thomason
2024	J	`jnl`	TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models. CoRR Ishika Singh, David Traum, Jesse Thomason
2024	A	`conf`	ViSaRL: Visual Reinforcement Learning Guided by Human Saliency. IROS Anthony Liang, Jesse Thomason, Erdem Biyik
2024	J	`jnl`	ViSaRL: Visual Reinforcement Learning Guided by Human Saliency. CoRR Anthony Liang, Jesse Thomason, Erdem Biyik
2024	A*	`conf`	When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models. EMNLP Ting-Yun Chang, Jesse Thomason, Robin Jia
2024	J	`jnl`	When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models. CoRR Ting-Yun Chang, Jesse Thomason, Robin Jia
2024	—	`conf`	Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding. NAACL-HLT Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason
2024	J	`jnl`	WinoViz: Probing Visual Properties of Objects Under Different States. CoRR Woojeong Jin, Tejas Srinivasan, Jesse Thomason, Xiang Ren
2023	A*	`conf`	Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering. EMNLP Wang Zhu, Jesse Thomason, Robin Jia
2023	J	`jnl`	Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering. CoRR Wang Zhu, Jesse Thomason, Robin Jia
2023	J	`jnl`	Comparative Multi-View Language Grounding. CoRR Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason
2023	—	`conf`	Curriculum Learning for Data-Efficient Vision-Language Alignment. CVPR Workshops Tejas Srinivasan, Xiang Ren, Jesse Thomason
2023	J	`jnl`	Do Localization Methods Actually Localize Memorized Data in LLMs? CoRR Ting-Yun Chang, Jesse Thomason, Robin Jia
2023	J	`jnl`	Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions? CoRR Wang Zhu, Ishika Singh, Yuan Huang, Robin Jia, Jesse Thomason
2023	J	`jnl`	Efficient End-to-End Visual Document Understanding with Rationale Distillation. CoRR Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova
2023	B	`conf`	Exploring Strategies for Modeling Sign Language Phonology. ESANN Lee Kezar, Tejas Srinivasan, Riley Carlin, Jesse Thomason, Zed Sevcikova Sehyr, Naomi Caselli
2023	J	`jnl`	Exploring Strategies for Modeling Sign Language Phonology. CoRR Lee Kezar, Riley Carlin, Tejas Srinivasan, Zed Sevcikova Sehyr, Naomi Caselli, Jesse Thomason
2023	—	`conf`	Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter. WebSci Julie Jiang, Jesse Thomason, Francesco Barbieri, Emilio Ferrara
2023	—	`conf`	I2I: Initializing Adapters with Improvised Knowledge. CoLLAs Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason
2023	J	`jnl`	I2I: Initializing Adapters with Improvised Knowledge. CoRR Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason
2023	A	`conf`	Improving Sign Recognition with Phonology. EACL Lee Kezar, Jesse Thomason, Zed Sevcikova Sehyr
2023	J	`jnl`	Improving Sign Recognition with Phonology. CoRR Lee Kezar, Jesse Thomason, Zed Sevcikova Sehyr
2023	A*	`conf`	Iterative Vision-and-Language Navigation. CVPR Jacob Krantz, Shurjo Banerjee, Wang Zhu, Jason J. Corso, Peter Anderson, Stefan Lee, Jesse Thomason
2023	A	`conf`	Multimodal Speech Recognition for Language-Guided Embodied Agents. INTERSPEECH Allen Chang, Xiaoyuan Zhu, Aarav Monga, Seoho Ahn, Tejas Srinivasan, Jesse Thomason
2023	J	`jnl`	Multimodal Speech Recognition for Language-Guided Embodied Agents. CoRR Allen Chang, Xiaoyuan Zhu, Aarav Monga, Seoho Ahn, Tejas Srinivasan, Jesse Thomason
2023	J	`jnl`	Multimodal embodied attribute learning by robots for object-centric action policies. Auton. Robots Xiaohan Zhang, Saeid Amiri, Jivko Sinapov, Jesse Thomason, Peter Stone, Shiqi Zhang
2023	A*	`conf`	ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. ICRA Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
2023	J	`jnl`	ProgPrompt: program generation for situated robot task planning using large language models. Auton. Robots Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
2023	A	`conf`	RREx-BoT: Remote Referring Expressions with a Bag of Tricks. IROS Gunnar A. Sigurdsson, Jesse Thomason, Gaurav S. Sukhatme, Robinson Piramuthu
2023	J	`jnl`	RREx-BoT: Remote Referring Expressions with a Bag of Tricks. CoRR Gunnar A. Sigurdsson, Jesse Thomason, Gaurav S. Sukhatme, Robinson Piramuthu
2023	—	`conf`	Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. EMNLP (Findings) Yuliang Cai, Jesse Thomason, Mohammad Rostami
2023	J	`jnl`	Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. CoRR Yuliang Cai, Jesse Thomason, Mohammad Rostami
2023	J	`jnl`	The Sem-Lex Benchmark: Modeling ASL Signs and Their Phonemes. CoRR Lee Kezar, Elana Pontecorvo, Adele Daniels, Connor Baer, Ruth Ferster, Lauren Berger, Jesse Thomason, Zed Sevcikova Sehyr, Naomi Caselli
2023	A	`conf`	The Sem-Lex Benchmark: Modeling ASL Signs and their Phonemes. ASSETS Lee Kezar, Jesse Thomason, Naomi Caselli, Zed Sevcikova Sehyr, Elana Pontecorvo
2022	A*	`conf`	ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments. EMNLP Arjun R. Akula, Spandana Gella, Aishwarya Padmakumar, Mahdi Namazifar, Mohit Bansal, Jesse Thomason, Dilek Hakkani-Tur
2022	J	`jnl`	CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation. CoRR Vishnu Sashank Dorbala, Gunnar A. Sigurdsson, Robinson Piramuthu, Jesse Thomason, Gaurav S. Sukhatme
2022	A*	`conf`	CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. NeurIPS Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason
2022	J	`jnl`	CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. CoRR Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason
2022	J	`jnl`	Curriculum Learning for Data-Efficient Vision-Language Alignment. CoRR Tejas Srinivasan, Xiang Ren, Jesse Thomason
2022	—	`conf`	Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems. EMNLP (Findings) Wang Zhu, Jesse Thomason, Robin Jia
2022	J	`jnl`	Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems. CoRR Wang Zhu, Jesse Thomason, Robin Jia
2022	J	`jnl`	Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter. CoRR Julie Jiang, Jesse Thomason, Francesco Barbieri, Emilio Ferrara
2022	J	`jnl`	Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic. CoRR Sara Mohammadinejad, Jesse Thomason, Jyotirmoy V. Deshmukh
2022	J	`jnl`	Iterative Vision-and-Language Navigation. CoRR Jacob Krantz, Shurjo Banerjee, Wang Zhu, Jason J. Corso, Peter Anderson, Stefan Lee, Jesse Thomason
2022	J	`jnl`	ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. CoRR Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
2022	J	`jnl`	Retrospectives on the Embodied AI Workshop. CoRR Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu
2022	A*	`conf`	SSL Enables Learning from Sparse Rewards in Image-Goal Navigation. ICML Arjun Majumdar, Gunnar A. Sigurdsson, Robinson Piramuthu, Jesse Thomason, Dhruv Batra, Gaurav S. Sukhatme
2022	A*	`conf`	TEACh: Task-Driven Embodied Agents That Chat. AAAI Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gökhan Tür, Dilek Hakkani-Tür
2022	J	`jnl`	VAuLT: Augmenting the Vision-and-Language Transformer with the Propagation of Deep Language Representations. CoRR Georgios Chochlakis, Tejas Srinivasan, Jesse Thomason, Shrikanth Narayanan
2022	—	`conf`	Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions. ACL (1) Jing Gu, Eliana Stefani, Qi Wu, Jesse Thomason, Xin Wang
2022	J	`jnl`	Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions. CoRR Jing Gu, Eliana Stefani, Qi Wu, Jesse Thomason, Xin Eric Wang
2021	J	`jnl`	Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion. CoRR Alessandro Suglia, Qiaozi Gao, Jesse Thomason, Govind Thattai, Gaurav S. Sukhatme
2021	J	`jnl`	LUMINOUS: Indoor Scene Generation for Embodied AI Challenges. CoRR Yizhou Zhao, Kaixiang Lin, Zhiwei Jia, Qiaozi Gao, Govind Thattai, Jesse Thomason, Gaurav S. Sukhatme
2021	Misc	`conf`	Language Grounding with 3D Objects. CoRL Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer
2021	J	`jnl`	Language Grounding with 3D Objects. CoRR Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer
2021	J	`jnl`	TEACh: Task-driven Embodied Agents that Chat. CoRR Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gökhan Tür, Dilek Hakkani-Tür
2020	A*	`conf`	ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. CVPR Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox
2020	—	`conf`	Experience Grounds Language. EMNLP (1) 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	J	`jnl`	Experience Grounds Language. CoRR 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	—	`conf`	Interpreting Black Box Models via Hypothesis Testing. FODS Collin Burns, Jesse Thomason, Wesley Tansey
2020	J	`jnl`	Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog. J. Artif. Intell. Res. Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
2020	—	`conf`	RMM: A Recursive Mental Model for Dialog Navigation. EMNLP (Findings) Homero Roman Roman, Yonatan Bisk, Jesse Thomason, Asli Celikyilmaz, Jianfeng Gao
2020	J	`jnl`	RMM: A Recursive Mental Model for Dialog Navigation. CoRR Homero Roman Roman, Yonatan Bisk, Jesse Thomason, Asli Celikyilmaz, Jianfeng Gao
2020	Misc	`conf`	The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation. CoRL Shurjo Banerjee, Jesse Thomason, Jason J. Corso
2020	J	`jnl`	The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation. CoRR Shurjo Banerjee, Jesse Thomason, Jason J. Corso
2019	J	`jnl`	ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. CoRR Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox
2019	A	`conf`	Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog. IROS Saeid Amiri, Sujay Bajracharya, Cihangir Goktolga, Jesse Thomason, Shiqi Zhang
2019	J	`jnl`	Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog. CoRR Saeid Amiri, Sujay Bajracharya, Cihangir Goktolga, Jesse Thomason, Shiqi Zhang
2019	A*	`conf`	Improving Grounded Natural Language Understanding through Human-Robot Dialog. ICRA Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
2019	J	`jnl`	Improving Grounded Natural Language Understanding through Human-Robot Dialog. CoRR Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
2019	A	`conf`	Improving Robot Success Detection using Static Object Data. IROS Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa
2019	J	`jnl`	Improving Robot Success Detection using Static Object Data. CoRR Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa
2019	J	`jnl`	Interpreting Black Box Models with Statistical Guarantees. CoRR Collin Burns, Jesse Thomason, Wesley Tansey
2019	J	`jnl`	Prospection: Interpretable Plans From Language By Predicting the Future. CoRR Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox
2019	A*	`conf`	Prospection: Interpretable plans from language by predicting the future. ICRA Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox
2019	—	`conf`	Shifting the Baseline: Single Modality Performance on Visual Navigation & QA. NAACL-HLT (1) Jesse Thomason, Daniel Gordon, Yonatan Bisk
2019	Misc	`conf`	Vision-and-Dialog Navigation. CoRL Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer
2019	J	`jnl`	Vision-and-Dialog Navigation. CoRR Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer
2018	A*	`conf`	Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. AAAI Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone
2018	J	`jnl`	Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. CoRR Justin W. Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond J. Mooney, Peter Stone
2018	A*	`conf`	Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing. AAAI Wesley Tansey, Jesse Thomason, James G. Scott
2018	A*	`conf`	Multi-modal Predicate Identification using Dynamically Learned Robot Controllers. IJCAI Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone
2018	—	`conf`	Robot Behavioral Exploration and Multi-modal Perception using Dynamically Constructed Controllers. AAAI Spring Symposia Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone
2018	J	`jnl`	Shifting the Baseline: Single Modality Performance on Visual Navigation & QA. CoRR Jesse Thomason, Daniel Gordon, Yonatan Bisk
2017	J	`jnl`	BWIBots: A platform for bridging the gap between AI and human-robot interaction research. Int. J. Robotics Res. Piyush Khandelwal, Shiqi Zhang, Jivko Sinapov, Matteo Leonetti, Jesse Thomason, Fangkai Yang, Ilaria Gori, Maxwell Svetlik, Priyanka Khante, Vladimir Lifschitz, J. K. Aggarwal, Raymond J. Mooney, Peter Stone
2017	—	`conf`	Guiding Interaction Behaviors for Multi-modal Grounded Language Learning. RoboNLP@ACL Jesse Thomason, Jivko Sinapov, Raymond J. Mooney
2017	—	`conf`	Improving Black-box Speech Recognition using Semantic Parsing. IJCNLP(2) Rodolfo Corona, Jesse Thomason, Raymond J. Mooney
2017	—	`conf`	Integrated Learning of Dialog Strategies and Semantic Parsing. EACL (1) Aishwarya Padmakumar, Jesse Thomason, Raymond J. Mooney
2017	A*	`conf`	Multi-Modal Word Synset Induction. IJCAI Jesse Thomason, Raymond J. Mooney
2017	Misc	`conf`	Opportunistic Active Learning for Grounding Natural Language Descriptions. CoRL Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney
2016	A*	`conf`	Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". IJCAI Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney
2015	A*	`conf`	Learning to Interpret Natural Language Commands through Human-Robot Dialog. IJCAI Jesse Thomason, Shiqi Zhang, Raymond J. Mooney, Peter Stone
2014	B	`conf`	Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. COLING Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Raymond J. Mooney