Yoav Artzi

Orcid: 0000-0002-4605-6144

According to our database1, Yoav Artzi authored at least 67 papers between 2011 and 2024.

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Bibliography

2024
A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models.
Trans. Mach. Learn. Res., 2024

LLMs Are In-Context Reinforcement Learners.
CoRR, 2024

Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs.
CoRR, 2024

A Surprising Failure? Multimodal LLMs and the NLVR Challenge.
CoRR, 2024

CoGen: Learning from Feedback with Coupled Comprehension and Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Continual Learning for Instruction Following from Realtime Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

IncDSI: Incrementally Updatable Document Retrieval.
Proceedings of the International Conference on Machine Learning, 2023

Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages.
Proceedings of the IEEE International Conference on Acoustics, 2023

Continually Improving Extractive QA via Human Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Semantic uncertainty guides the extension of conventions to new referents.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

lilGym: Natural Language Visual Reasoning with Reinforcement Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

CB2: Collaborative Natural Language Interaction Research Platform.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
Spoken language interaction with robots: Recommendations for future research.
Comput. Speech Lang., 2022

Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

SLUE: New Benchmark Tasks For Spoken Language Understanding Evaluation on Natural Speech.
Proceedings of the IEEE International Conference on Acoustics, 2022

Abstract Visual Reasoning with Tangram Shapes.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Simulating Bandit Learning from User Feedback for Extractive Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior.
Trans. Assoc. Comput. Linguistics, 2021

Revisiting Few-sample BERT Fine-tuning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Who's Waldo? Linking People Across Text and Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

When in Doubt: Improving Classification Performance with Alternating Normalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Analysis of Language Change in Collaborative Instruction Following.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Evaluating NLP Models via Contrast Sets.
CoRR, 2020

Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View.
CoRR, 2020

BERTScore: Evaluating Text Generation with BERT.
Proceedings of the 8th International Conference on Learning Representations, 2020


Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following.
Proceedings of the 4th Conference on Robot Learning, 2020

Interactive Classification by Asking Informative Questions.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

What is Learned in Visually Grounded Neural Syntax Acquisition.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
NLVR2 Visual Bias Analysis.
CoRR, 2019

Understanding Reader Backtracking Behavior in Online News Articles.
Proceedings of the World Wide Web Conference, 2019

EARLY FUSION for Goal Directed Robotic Vision.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Executing Instructions in Situated Collaborative Interactions.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

A Corpus for Reasoning about Natural Language Grounded in Photographs.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
A Corpus for Reasoning About Natural Language Grounded in Photographs.
CoRR, 2018

CHALET: Cornell House Agent Learning Environment.
CoRR, 2018

Evaluating Visual Reasoning through Grounded Language Understanding.
AI Mag., 2018

Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning.
Proceedings of the Robotics: Science and Systems XIV, 2018

Learning to Map Context-Dependent Sentences to Executable Formal Queries.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Simple Recurrent Units for Highly Parallelizable Recurrence.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Visual Reasoning with Natural Language.
CoRR, 2017

Training RNNs as Fast as CNNs.
CoRR, 2017

Mapping Instructions and Visual Observations to Actions with Reinforcement Learning.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Modeling Sub-Document Attention Using Viewport Time.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

A Corpus of Natural Language for Visual Reasoning.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Neural Shift-Reduce CCG Semantic Parsing.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Situated Learning and Understanding of Natural Language.
PhD thesis, 2015

Event Detection and Factuality Assessment with Non-Expert Supervision.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Broad-coverage CCG Semantic Parsing with AMR.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Learning Compact Lexicons for CCG Semantic Parsing.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Context-dependent Semantic Parsing for Time Expressions.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Learning to Automatically Solve Algebra Word Problems.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Programming by Demonstration with Situated Semantic Parsing.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013
Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions.
Trans. Assoc. Comput. Linguistics, 2013

UW SPF: The University of Washington Semantic Parsing Framework.
CoRR, 2013

Scaling Semantic Parsers with On-the-Fly Ontology Matching.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Learning Distributions over Logical Forms for Referring Expression Generation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Semantic Parsing with Combinatory Categorial Grammars.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Predicting Responses to Microblog Posts.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

2011
Bootstrapping Semantic Parsers from Conversations.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011


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