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Yoav Artzi
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2020 – today
- 2024
- [j5]Noriyuki Kojima, Hadar Averbuch-Elor, Yoav Artzi:
A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [i42]Anne Wu, Kianté Brantley, Yoav Artzi:
A Surprising Failure? Multimodal LLMs and the NLVR Challenge. CoRR abs/2402.17793 (2024) - 2023
- [c49]Jacob Sharf, Mustafa Omer Gul, Yoav Artzi:
CB2: Collaborative Natural Language Interaction Research Platform. ACL (demo) 2023: 412-420 - [c48]Anne Wu, Kianté Brantley, Noriyuki Kojima, Yoav Artzi:
lilGym: Natural Language Visual Reasoning with Reinforcement Learning. ACL (1) 2023: 9214-9234 - [c47]Ron Eliav, Anya Ji, Yoav Artzi, Robert D. Hawkins:
Semantic uncertainty guides the extension of conventions to new referents. CogSci 2023 - [c46]Ge Gao, Hung-Ting Chen, Yoav Artzi, Eunsol Choi:
Continually Improving Extractive QA via Human Feedback. EMNLP 2023: 406-423 - [c45]Felix Wu, Kwangyoun Kim, Shinji Watanabe, Kyu Jeong Han, Ryan McDonald, Kilian Q. Weinberger, Yoav Artzi:
Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages. ICASSP 2023: 1-5 - [c44]Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger:
IncDSI: Incrementally Updatable Document Retrieval. ICML 2023: 17122-17134 - [c43]Alane Suhr, Yoav Artzi:
Continual Learning for Instruction Following from Realtime Feedback. NeurIPS 2023 - [i41]Jacob Sharf, Mustafa Omer Gul, Yoav Artzi:
CB2: Collaborative Natural Language Interaction Research Platform. CoRR abs/2303.08127 (2023) - [i40]Ron Eliav, Anya Ji, Yoav Artzi, Robert D. Hawkins:
Semantic uncertainty guides the extension of conventions to new referents. CoRR abs/2305.06539 (2023) - [i39]Ge Gao, Hung-Ting Chen, Yoav Artzi, Eunsol Choi:
Continually Improving Extractive QA via Human Feedback. CoRR abs/2305.12473 (2023) - [i38]Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger:
IncDSI: Incrementally Updatable Document Retrieval. CoRR abs/2307.10323 (2023) - [i37]Noriyuki Kojima, Hadar Averbuch-Elor, Yoav Artzi:
A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models. CoRR abs/2309.02691 (2023) - 2022
- [j4]Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi
, Mohit Bansal, Gilmer L. Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary P. Harper, Thomas Howard
, Casey Kennington
, Ivana Kruijff-Korbayová, Dinesh Manocha
, Cynthia Matuszek, Ross Mead
, Raymond J. Mooney, Roger K. Moore
, Mari Ostendorf, Heather Pon-Barry
, Alexander I. Rudnicky
, Matthias Scheutz
, Robert St. Amant, Tong Sun, Stefanie Tellex, David R. Traum
, Zhou Yu:
Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 71: 101255 (2022) - [c42]Ge Gao, Eunsol Choi, Yoav Artzi:
Simulating Bandit Learning from User Feedback for Extractive Question Answering. ACL (1) 2022: 5167-5179 - [c41]Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi:
Abstract Visual Reasoning with Tangram Shapes. EMNLP 2022: 582-601 - [c40]Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Jeong Han, Kilian Q. Weinberger, Yoav Artzi:
Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition. ICASSP 2022: 7667-7671 - [c39]Suwon Shon, Ankita Pasad, Felix Wu, Pablo Brusco, Yoav Artzi, Karen Livescu, Kyu Jeong Han:
SLUE: New Benchmark Tasks For Spoken Language Understanding Evaluation on Natural Speech. ICASSP 2022: 7927-7931 - [i36]Ge Gao, Eunsol Choi, Yoav Artzi:
Simulating Bandit Learning from User Feedback for Extractive Question Answering. CoRR abs/2203.10079 (2022) - [i35]Felix Wu, Kwangyoun Kim, Shinji Watanabe, Kyu Jeong Han, Ryan McDonald, Kilian Q. Weinberger, Yoav Artzi:
Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages. CoRR abs/2205.01086 (2022) - [i34]Anne Wu, Kianté Brantley, Noriyuki Kojima, Yoav Artzi:
lilGym: Natural Language Visual Reasoning with Reinforcement Learning. CoRR abs/2211.01994 (2022) - [i33]Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins
, Yoav Artzi:
Abstract Visual Reasoning with Tangram Shapes. CoRR abs/2211.16492 (2022) - [i32]Alane Suhr, Yoav Artzi:
Continual Learning for Instruction Following from Realtime Feedback. CoRR abs/2212.09710 (2022) - 2021
- [j3]Noriyuki Kojima, Alane Suhr, Yoav Artzi:
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior. Trans. Assoc. Comput. Linguistics 9: 1303-1319 (2021) - [c38]Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi:
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution. CoRL 2021: 706-717 - [c37]Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie:
When in Doubt: Improving Classification Performance with Alternating Normalization. EMNLP (Findings) 2021: 1716-1723 - [c36]Anna Effenberger, Rhia Singh, Eva Yan, Alane Suhr, Yoav Artzi:
Analysis of Language Change in Collaborative Instruction Following. EMNLP (Findings) 2021: 2803-2811 - [c35]Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi, Noah Snavely, Hadar Averbuch-Elor:
Who's Waldo? Linking People Across Text and Images. ICCV 2021: 1354-1364 - [c34]Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, Yoav Artzi:
Revisiting Few-sample BERT Fine-tuning. ICLR 2021 - [i31]Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi:
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution. CoRR abs/2107.05612 (2021) - [i30]Noriyuki Kojima, Alane Suhr, Yoav Artzi:
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior. CoRR abs/2108.04812 (2021) - [i29]Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi, Noah Snavely, Hadar Averbuch-Elor:
Who's Waldo? Linking People Across Text and Images. CoRR abs/2108.07253 (2021) - [i28]Anna Effenberger, Eva Yan, Rhia Singh, Alane Suhr, Yoav Artzi:
Analysis of Language Change in Collaborative Instruction Following. CoRR abs/2109.04452 (2021) - [i27]Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Jeong Han, Kilian Q. Weinberger, Yoav Artzi:
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition. CoRR abs/2109.06870 (2021) - [i26]Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie:
When in Doubt: Improving Classification Performance with Alternating Normalization. CoRR abs/2109.13449 (2021) - [i25]Suwon Shon, Ankita Pasad, Felix Wu, Pablo Brusco, Yoav Artzi, Karen Livescu, Kyu Jeong Han:
SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech. CoRR abs/2111.10367 (2021) - 2020
- [c33]Noriyuki Kojima, Hadar Averbuch-Elor, Alexander M. Rush
, Yoav Artzi:
What is Learned in Visually Grounded Neural Syntax Acquisition. ACL 2020: 2615-2635 - [c32]Lili Yu, Howard Chen, Sida I. Wang, Tao Lei, Yoav Artzi:
Interactive Classification by Asking Informative Questions. ACL 2020: 2664-2680 - [c31]Valts Blukis, Ross A. Knepper, Yoav Artzi:
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following. CoRL 2020: 1829-1854 - [c30]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 2020: 1307-1323 - [c29]Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi:
BERTScore: Evaluating Text Generation with BERT. ICLR 2020 - [i24]Harsh Mehta, Yoav Artzi, Jason Baldridge, Eugene Ie, Piotr Mirowski:
Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View. CoRR abs/2001.03671 (2020) - [i23]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating NLP Models via Contrast Sets. CoRR abs/2004.02709 (2020) - [i22]Noriyuki Kojima, Hadar Averbuch-Elor, Alexander M. Rush, Yoav Artzi:
What is Learned in Visually Grounded Neural Syntax Acquisition. CoRR abs/2005.01678 (2020) - [i21]Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, Yoav Artzi:
Revisiting Few-sample BERT Fine-tuning. CoRR abs/2006.05987 (2020) - [i20]Valts Blukis, Ross A. Knepper, Yoav Artzi:
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following. CoRR abs/2011.07384 (2020)
2010 – 2019
- 2019
- [c28]Alane Suhr, Stephanie Zhou, Ally Zhang, Iris Zhang, Huajun Bai, Yoav Artzi:
A Corpus for Reasoning about Natural Language Grounded in Photographs. ACL (1) 2019: 6418-6428 - [c27]Valts Blukis, Yannick Terme, Eyvind Niklasson, Ross A. Knepper, Yoav Artzi:
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight. CoRL 2019: 1415-1438 - [c26]Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi:
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. CVPR 2019: 12538-12547 - [c25]Alane Suhr, Claudia Yan, Jacob Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, Yoav Artzi:
Executing Instructions in Situated Collaborative Interactions. EMNLP/IJCNLP (1) 2019: 2119-2130 - [c24]Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox:
EARLY FUSION for Goal Directed Robotic Vision. IROS 2019: 1025-1031 - [c23]Uzi Smadja, Max Grusky, Yoav Artzi, Mor Naaman
:
Understanding Reader Backtracking Behavior in Online News Articles. WWW 2019: 3237-3243 - [i19]Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi:
BERTScore: Evaluating Text Generation with BERT. CoRR abs/1904.09675 (2019) - [i18]Alane Suhr, Yoav Artzi:
NLVR2 Visual Bias Analysis. CoRR abs/1909.10411 (2019) - [i17]Alane Suhr, Claudia Yan, Jacob Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, Yoav Artzi:
Executing Instructions in Situated Collaborative Interactions. CoRR abs/1910.03655 (2019) - [i16]Valts Blukis, Yannick Terme, Eyvind Niklasson, Ross A. Knepper, Yoav Artzi:
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight. CoRR abs/1910.09664 (2019) - [i15]Lili Yu, Howard Chen, Sida Wang, Yoav Artzi, Tao Lei:
Interactive Classification by Asking Informative Questions. CoRR abs/1911.03598 (2019) - 2018
- [j2]Alane Suhr, Mike Lewis, James Yeh, Yoav Artzi:
Evaluating Visual Reasoning through Grounded Language Understanding. AI Mag. 39(2): 45-52 (2018) - [c22]Alane Suhr, Yoav Artzi:
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation. ACL (1) 2018: 2072-2082 - [c21]Valts Blukis, Dipendra Kumar Misra, Ross A. Knepper, Yoav Artzi:
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction. CoRL 2018: 505-518 - [c20]Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi:
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. EMNLP 2018: 2667-2678 - [c19]Tao Lei, Yu Zhang, Sida I. Wang, Hui Dai, Yoav Artzi:
Simple Recurrent Units for Highly Parallelizable Recurrence. EMNLP 2018: 4470-4481 - [c18]Max Grusky, Mor Naaman, Yoav Artzi:
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies. NAACL-HLT 2018: 708-719 - [c17]Alane Suhr, Srinivasan Iyer, Yoav Artzi:
Learning to Map Context-Dependent Sentences to Executable Formal Queries. NAACL-HLT 2018: 2238-2249 - [c16]Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi:
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. Robotics: Science and Systems 2018 - [e2]Yoav Artzi, Jacob Eisenstein:
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts. Association for Computational Linguistics 2018, ISBN 978-1-948087-66-7 [contents] - [i14]Claudia Yan, Dipendra Kumar Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk, Yoav Artzi:
CHALET: Cornell House Agent Learning Environment. CoRR abs/1801.07357 (2018) - [i13]Alane Suhr, Srinivasan Iyer, Yoav Artzi:
Learning to Map Context-Dependent Sentences to Executable Formal Queries. CoRR abs/1804.06868 (2018) - [i12]Max Grusky, Mor Naaman, Yoav Artzi:
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies. CoRR abs/1804.11283 (2018) - [i11]Alane Suhr, Yoav Artzi:
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation. CoRR abs/1805.10209 (2018) - [i10]Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi:
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. CoRR abs/1806.00047 (2018) - [i9]Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi:
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. CoRR abs/1809.00786 (2018) - [i8]Alane Suhr, Stephanie Zhou, Iris Zhang, Huajun Bai, Yoav Artzi:
A Corpus for Reasoning About Natural Language Grounded in Photographs. CoRR abs/1811.00491 (2018) - [i7]Valts Blukis, Dipendra Kumar Misra, Ross A. Knepper, Yoav Artzi:
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction. CoRR abs/1811.04179 (2018) - [i6]Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Kumar Misra, Yoav Artzi, Yejin Choi, Dieter Fox:
Early Fusion for Goal Directed Robotic Vision. CoRR abs/1811.08824 (2018) - [i5]Howard Chen, Alane Suhr, Dipendra Kumar Misra, Noah Snavely, Yoav Artzi:
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. CoRR abs/1811.12354 (2018) - 2017
- [c15]Alane Suhr, Mike Lewis, James Yeh, Yoav Artzi:
A Corpus of Natural Language for Visual Reasoning. ACL (2) 2017: 217-223 - [c14]Max Grusky, Jeiran Jahani, Josh Schwartz, Dan Valente, Yoav Artzi, Mor Naaman
:
Modeling Sub-Document Attention Using Viewport Time. CHI 2017: 6475-6480 - [c13]Dipendra Kumar Misra, John Langford, Yoav Artzi:
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning. EMNLP 2017: 1004-1015 - [e1]Mohit Bansal, Cynthia Matuszek, Jacob Andreas, Yoav Artzi, Yonatan Bisk:
Proceedings of the First Workshop on Language Grounding for Robotics, RoboNLP@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-64-7 [contents] - [i4]Dipendra Kumar Misra, John Langford, Yoav Artzi:
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning. CoRR abs/1704.08795 (2017) - [i3]Tao Lei, Yu Zhang, Yoav Artzi:
Training RNNs as Fast as CNNs. CoRR abs/1709.02755 (2017) - [i2]Stephanie Zhou, Alane Suhr, Yoav Artzi:
Visual Reasoning with Natural Language. CoRR abs/1710.00453 (2017) - 2016
- [c12]Dipendra Kumar Misra, Yoav Artzi:
Neural Shift-Reduce CCG Semantic Parsing. EMNLP 2016: 1775-1786 - 2015
- [b1]Yoav Artzi:
Situated Learning and Understanding of Natural Language. University of Washington, USA, 2015 - [c11]Kenton Lee, Yoav Artzi, Yejin Choi, Luke Zettlemoyer:
Event Detection and Factuality Assessment with Non-Expert Supervision. EMNLP 2015: 1643-1648 - [c10]Yoav Artzi, Kenton Lee, Luke Zettlemoyer:
Broad-coverage CCG Semantic Parsing with AMR. EMNLP 2015: 1699-1710 - 2014
- [c9]Yoav Artzi, Maxwell Forbes, Kenton Lee, Maya Cakmak:
Programming by Demonstration with Situated Semantic Parsing. AAAI Fall Symposia 2014 - [c8]Nate Kushman, Luke Zettlemoyer, Regina Barzilay, Yoav Artzi:
Learning to Automatically Solve Algebra Word Problems. ACL (1) 2014: 271-281 - [c7]Kenton Lee, Yoav Artzi, Jesse Dodge, Luke Zettlemoyer:
Context-dependent Semantic Parsing for Time Expressions. ACL (1) 2014: 1437-1447 - [c6]Yoav Artzi, Dipanjan Das, Slav Petrov:
Learning Compact Lexicons for CCG Semantic Parsing. EMNLP 2014: 1273-1283 - 2013
- [j1]Yoav Artzi, Luke Zettlemoyer:
Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions. Trans. Assoc. Comput. Linguistics 1: 49-62 (2013) - [c5]Yoav Artzi, Nicholas FitzGerald, Luke Zettlemoyer:
Semantic Parsing with Combinatory Categorial Grammars. ACL (Tutorial Abstracts) 2013: 2 - [c4]Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, Luke Zettlemoyer:
Scaling Semantic Parsers with On-the-Fly Ontology Matching. EMNLP 2013: 1545-1556 - [c3]Nicholas FitzGerald, Yoav Artzi, Luke Zettlemoyer:
Learning Distributions over Logical Forms for Referring Expression Generation. EMNLP 2013: 1914-1925 - [i1]Yoav Artzi, Luke Zettlemoyer:
UW SPF: The University of Washington Semantic Parsing Framework. CoRR abs/1311.3011 (2013) - 2012
- [c2]Yoav Artzi, Patrick Pantel, Michael Gamon:
Predicting Responses to Microblog Posts. HLT-NAACL 2012: 602-606 - 2011
- [c1]Yoav Artzi, Luke Zettlemoyer:
Bootstrapping Semantic Parsers from Conversations. EMNLP 2011: 421-432
Coauthor Index
aka: Dipendra Kumar Misra
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