Raymond J. Mooney

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 91

Top Venues

CoRR

ACL (1)

IJCAI

EMNLP

Publications

Casey Kennington, Malihe Alikhani, Heather Pon-Barry, Katherine Atwell, Yonatan Bisk, Daniel Fried, Felix Gervits, Zhao Han, Mert Inan, Michael Johnston, Raj Korpan, Diane J. Litman, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond J. Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. CoRR (2024)
Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. CoRR (2024)
Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. ACL (1) (2024)
Albert Yu, Raymond J. Mooney
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks. ICLR (2023)
Jierui Li, Szymon Tworkowski, Yingying Wu, Raymond J. Mooney
Explaining Competitive-Level Programming Solutions using LLMs. CoRR (2023)
Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
Text-to-SQL Error Correction with Language Models of Code. ACL (2) (2023)
Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
Text-to-SQL Error Correction with Language Models of Code. CoRR (2023)
Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian
SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) (2023)
Pengyu Nie, Rahul Banerjee, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric
Learning Deep Semantics for Test Completion. ICSE (2023)
Pengyu Nie, Rahul Banerjee, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric
Learning Deep Semantics for Test Completion. CoRR (2023)
Prasoon Goyal, Raymond J. Mooney, Scott Niekum
Language-guided Task Adaptation for Imitation Learning. CoRR (2023)
Anuj Diwan, Puyuan Peng, Raymond J. Mooney
Zero-shot Video Moment Retrieval With Off-the-Shelf Models. TL4NLP (2022)
Pengyu Nie, Jiyang Zhang, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric
Impact of Evaluation Methodologies on Code Summarization. ACL (1) (2022)
Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney
Learning to Describe Solutions for Bug Reports Based on Developer Discussions. ACL (Findings) (2022)
Sheena Panthaplackel, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney
Using Developer Discussions to Guide Fixing Bugs in Software. EMNLP (Findings) (2022)
Tong Gao, Shivang Singh, Raymond J. Mooney
Towards Automated Error Analysis: Learning to Characterize Errors. FLAIRS (2022)
Sheena Panthaplackel, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney
Using Developer Discussions to Guide Fixing Bugs in Software. CoRR (2022)
Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
Using Commonsense Knowledge to Answer Why-Questions. EMNLP (2022)
Jialin Wu, Raymond J. Mooney
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering. EMNLP (2022)
Anuj Diwan, Puyuan Peng, Raymond J. Mooney
Zero-shot Video Moment Retrieval With Off-the-Shelf Models. CoRR (2022)
Jialin Wu, Raymond J. Mooney
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering. CoRR (2022)
Albert Yu, Raymond J. Mooney
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks. CoRR (2022)
Tong Gao, Shivang Singh, Raymond J. Mooney
Towards Automated Error Analysis: Learning to Characterize Errors. CoRR (2022)
Aishwarya Padmakumar, Raymond J. Mooney
Dialog Policy Learning for Joint Clarification and Active Learning Queries. AAAI (2021)
Raymond J. Mooney, Jude W. Shavlik
A Recap of Early Work on Theory and Knowledge Refinement. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2021)
Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. AAAI (2021)
Pengyu Nie, Jiyang Zhang, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric
Evaluation Methodologies for Code Learning Tasks. CoRR (2021)
Prasoon Goyal, Raymond J. Mooney, Scott Niekum
Zero-shot Task Adaptation using Natural Language. CoRR (2021)
Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Raymond J. Mooney, Junyi Jessy Li, Milos Gligoric
Learning to Generate Code Comments from Class Hierarchies. CoRR (2021)
Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney
Learning to Describe Solutions for Bug Reports Based on Developer Discussions. CoRR (2021)
Aishwarya Padmakumar, Raymond J. Mooney
Dialog Policy Learning for Joint Clarification and Active Learning Queries. CoRR (2020)
Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. CoRR (2020)
Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney
Learning to Update Natural Language Comments Based on Code Changes. CoRR (2020)
Jialin Wu, Liyan Chen, Raymond J. Mooney
Improving VQA and its Explanations by Comparing Competing Explanations. CoRR (2020)
Aishwarya Padmakumar, Raymond J. Mooney
Dialog as a Vehicle for Lifelong Learning. CoRR (2020)
Tong Gao, Qi Huang, Raymond J. Mooney
Systematic Generalization on gSCAN with Language Conditioned Embedding. CoRR (2020)
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. CoRR (2020)
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog. J. Artif. Intell. Res. 67 (2020)
Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney
Learning to Update Natural Language Comments Based on Code Changes. ACL (2020)
Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li
Associating Natural Language Comment and Source Code Entities. AAAI (2020)
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. CoRL (2020)
Tong Gao, Qi Huang, Raymond J. Mooney
Systematic Generalization on gSCAN with Language Conditioned Embedding. AACL/IJCNLP (2020)
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
Improving Grounded Natural Language Understanding through Human-Robot Dialog. CoRR (2019)
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
Using Natural Language for Reward Shaping in Reinforcement Learning. IJCAI (2019)
Jialin Wu, Raymond J. Mooney
Faithful Multimodal Explanation for Visual Question Answering. BlackboxNLP@ACL (2019)
Jialin Wu, Zeyuan Hu, Raymond J. Mooney
Generating Question Relevant Captions to Aid Visual Question Answering. CoRR (2019)
Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li
Associating Natural Language Comment and Source Code Entities. CoRR (2019)
Pengyu Nie, Rishabh Rai, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric
A framework for writing trigger-action todo comments in executable format. ESEC/SIGSOFT FSE (2019)
Jialin Wu, Raymond J. Mooney
Self-Critical Reasoning for Robust Visual Question Answering. NeurIPS (2019)
Jialin Wu, Raymond J. Mooney
Hidden State Guidance: Improving Image Captioning Using an Image Conditioned Autoencoder. ViGIL@NeurIPS (2019)
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
Using Natural Language for Reward Shaping in Reinforcement Learning. CoRR (2019)
Julia Strout, Ye Zhang, Raymond J. Mooney
Do Human Rationales Improve Machine Explanations? CoRR (2019)
Jialin Wu, Raymond J. Mooney
Self-Critical Reasoning for Robust Visual Question Answering. CoRR (2019)
Jialin Wu, Raymond J. Mooney
Hidden State Guidance: Improving Image Captioning using An Image Conditioned Autoencoder. CoRR (2019)
Harel Yedidsion, Jacqueline Deans, Connor Sheehan, Mahathi Chillara, Justin W. Hart, Peter Stone, Raymond J. Mooney
Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance. ICSR (2019)
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney
Improving Grounded Natural Language Understanding through Human-Robot Dialog. ICRA (2019)
Jialin Wu, Zeyuan Hu, Raymond J. Mooney
Generating Question Relevant Captions to Aid Visual Question Answering. ACL (1) (2019)
Julia Strout, Ye Zhang, Raymond J. Mooney
Do Human Rationales Improve Machine Explanations? BlackboxNLP@ACL (2019)
Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney
Learning a Policy for Opportunistic Active Learning. EMNLP (2018)
Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone
Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. AAAI (2018)
Nazneen Fatema Rajani, Raymond J. Mooney
Stacking with Auxiliary Features for Visual Question Answering. NAACL-HLT (2018)
Jialin Wu, Raymond J. Mooney
Faithful Multimodal Explanation for Visual Question Answering. CoRR (2018)
Justin W. Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond J. Mooney, Peter Stone
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. CoRR (2018)
Pengyu Nie, Rishabh Rai, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric
Executable Trigger-Action Comments. CoRR (2018)
Pengyu Nie, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric
Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves. AAAI Workshops (2018)
Jialin Wu, Zeyuan Hu, Raymond J. Mooney
Joint Image Captioning and Question Answering. CoRR (2018)
Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney
Learning a Policy for Opportunistic Active Learning. CoRR (2018)
Jesse Thomason, Jivko Sinapov, Raymond J. Mooney
Guiding Interaction Behaviors for Multi-modal Grounded Language Learning. RoboNLP@ACL (2017)
Shobhit Chaurasia, Raymond J. Mooney
Dialog for Language to Code. IJCNLP(2) (2017)
Elisa Ferracane, Su Wang, Raymond J. Mooney
Leveraging Discourse Information Effectively for Authorship Attribution. IJCNLP(1) (2017)
Jesse Thomason, Raymond J. Mooney
Multi-Modal Word Synset Induction. IJCAI (2017)
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney
Opportunistic Active Learning for Grounding Natural Language Descriptions. CoRL (2017)
Su Wang, Elisa Ferracane, Raymond J. Mooney
Leveraging Discourse Information Effectively for Authorship Attribution. CoRR (2017)
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
BWIBots: A platform for bridging the gap between AI and human-robot interaction research. Int. J. Robotics Res. 36 (5-7) (2017)
Nazneen Fatema Rajani, Raymond J. Mooney
Stacking With Auxiliary Features. IJCAI (2017)
Aishwarya Padmakumar, Jesse Thomason, Raymond J. Mooney
Integrated Learning of Dialog Strategies and Semantic Parsing. EACL (1) (2017)
Rodolfo Corona, Jesse Thomason, Raymond J. Mooney
Improving Black-box Speech Recognition using Semantic Parsing. IJCNLP(2) (2017)
Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko
Captioning Images with Diverse Objects. CVPR (2017)
Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CVPR (2016)
Islam Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney
Representing Meaning with a Combination of Logical and Distributional Models. Comput. Linguistics 42 (4) (2016)
Karl Pichotta, Raymond J. Mooney
Using Sentence-Level LSTM Language Models for Script Inference. ACL (1) (2016)
Nazneen Fatema Rajani, Raymond J. Mooney
Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles. TAC (2016)
Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. CoRR (2016)
Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney
Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". IJCAI (2016)
Karl Pichotta, Raymond J. Mooney
Learning Statistical Scripts with LSTM Recurrent Neural Networks. AAAI (2016)
Nazneen Fatema Rajani, Raymond J. Mooney
Supervised and Unsupervised Ensembling for Knowledge Base Population. CoRR (2016)
Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. EMNLP (2016)
Karl Pichotta, Raymond J. Mooney
Using Sentence-Level LSTM Language Models for Script Inference. CoRR (2016)
Nazneen Fatema Rajani, Raymond J. Mooney
Stacking With Auxiliary Features. CoRR (2016)
Nazneen Fatema Rajani, Raymond J. Mooney
Combining Supervised and Unsupervised Enembles for Knowledge Base Population. EMNLP (2016)
Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko
Captioning Images with Diverse Objects. CoRR (2016)
Chris Quirk, Raymond J. Mooney, Michel Galley
Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes. ACL (1) (2015)
Islam Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney
Representing Meaning with a Combination of Logical Form and Vectors. CoRR (2015)
Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CoRR (2015)
Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko
Translating Videos to Natural Language Using Deep Recurrent Neural Networks. HLT-NAACL (2015)
Nazneen Fatema Rajani, Raymond J. Mooney
Stacked Ensembles of Information Extractors for Knowledge-Base Population by Combining Supervised and Unsupervised Approaches. TAC (2015)
Vidhoon Viswanathan, Nazneen Fatema Rajani, Yinon Bentor, Raymond J. Mooney
Stacked Ensembles of Information Extractors for Knowledge-Base Population. ACL (1) (2015)
Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko
Sequence to Sequence - Video to Text. CoRR (2015)
Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko
Sequence to Sequence - Video to Text. ICCV (2015)
Jesse Thomason, Shiqi Zhang, Raymond J. Mooney, Peter Stone
Learning to Interpret Natural Language Commands through Human-Robot Dialog. IJCAI (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Raymond J. Mooney