Yonatan Bisk

According to our database1, Yonatan Bisk authored at least 106 papers between 2010 and 2024.

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Bibliography

2024
Embodied-RAG: General non-parametric Embodied Memory for Retrieval and Generation.
CoRR, 2024

MotIF: Motion Instruction Fine-tuning.
CoRR, 2024

Situated Instruction Following.
CoRR, 2024

DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement.
CoRR, 2024

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge.
CoRR, 2024

DiffusionPID: Interpreting Diffusion via Partial Information Decomposition.
CoRR, 2024

Language Models Need Inductive Biases to Count Inductively.
CoRR, 2024

AgentKit: Flow Engineering with Graphs, not Coding.
CoRR, 2024

Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward.
CoRR, 2024

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community.
CoRR, 2024

Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation.
CoRR, 2024

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers.
CoRR, 2024

MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

WebArena: A Realistic Web Environment for Building Autonomous Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Tools Fail: Detecting Silent Errors in Faulty Tools.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Gradient Localization Improves Lifelong Pretraining of Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024


SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

VISREAS: Complex Visual Reasoning with Unanswerable Questions.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Training Vision-Language Transformers from Captions.
Trans. Mach. Learn. Res., 2023

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis.
CoRR, 2023

Reasoning about the Unseen for Efficient Outdoor Object Navigation.
CoRR, 2023

MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Perception.
CoRR, 2023

WebArena: A Realistic Web Environment for Building Autonomous Agents.
CoRR, 2023

MAEA: Multimodal Attribution for Embodied AI.
CoRR, 2023

SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning.
CoRR, 2023

Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents.
CoRR, 2023

The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment.
CoRR, 2023

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SPRING: Studying Papers and Reasoning to play Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Supervised Object Goal Navigation with In-Situ Finetuning.
IROS, 2023

Computational Language Acquisition with Theory of Mind.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

EXCALIBUR: Encouraging and Evaluating Embodied Exploration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


SLAP: Spatial-Language Attention Policies.
Proceedings of the Conference on Robot Learning, 2023

2022
Object Goal Navigation with End-to-End Self-Supervision.
CoRR, 2022

Retrospectives on the Embodied AI Workshop.
CoRR, 2022

Training Vision-Language Transformers from Captions Alone.
CoRR, 2022

HEAR 2021: Holistic Evaluation of Audio Representations.
CoRR, 2022

KAT: A Knowledge Augmented Transformer for Vision-and-Language.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Symmetric Machine Theory of Mind.
Proceedings of the International Conference on Machine Learning, 2022

A Framework for Learning to Request Rich and Contextually Useful Information from Humans.
Proceedings of the International Conference on Machine Learning, 2022

FILM: Following Instructions in Language with Modular Methods.
Proceedings of the Tenth International Conference on Learning Representations, 2022

EvEntS ReaLM: Event Reasoning of Entity States via Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

WebQA: Multihop and Multimodal QA.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Transformers Are Adaptable Task Planners.
Proceedings of the Conference on Robot Learning, 2022

Language Learning from Communicative Goals and Linguistic Input.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021
It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process.
CoRR, 2021

Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework.
CoRR, 2021

Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models.
CoRR, 2021


WebQA: A Multimodal Multihop NeurIPS Challenge.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Few-shot Language Coordination by Modeling Theory of Mind.
Proceedings of the 38th International Conference on Machine Learning, 2021

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Language Grounding with 3D Objects.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Dependency Induction Through the Lens of Visual Perception.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Grounding 'Grounding' in NLP.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The Return of Lexical Dependencies: Neural Lexicalized PCFGs.
Trans. Assoc. Comput. Linguistics, 2020

Knowledge-driven Self-supervision for Zero-shot Commonsense Question Answering.
CoRR, 2020

A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos.
CoRR, 2020

Multi-View Learning for Vision-and-Language Navigation.
CoRR, 2020

RMM: A Recursive Mental Model for Dialog Navigation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Experience Grounds Language.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

PIQA: Reasoning about Physical Commonsense in Natural Language.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Character-based Surprisal as a Model of Human Reading in the Presence of Errors.
CoRR, 2019

Defending Against Neural Fake News.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Shifting the Baseline: Single Modality Performance on Visual Navigation & QA.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Benchmarking Hierarchical Script Knowledge.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

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

Improving Robot Success Detection using Static Object Data.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Prospection: Interpretable plans from language by predicting the future.
Proceedings of the International Conference on Robotics and Automation, 2019

Robust Navigation with Language Pretraining and Stochastic Sampling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

From Recognition to Cognition: Visual Commonsense Reasoning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Character-based Surprisal as a Model of Reading Difficulty in the Presence of Errors.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

HellaSwag: Can a Machine Really Finish Your Sentence?
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Balancing Shared Autonomy with Human-Robot Communication.
CoRR, 2018

CHALET: Cornell House Agent Learning Environment.
CoRR, 2018

Synthetic and Natural Noise Both Break Neural Machine Translation.
Proceedings of the 6th International Conference on Learning Representations, 2018

SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Inducing Grammars with and for Neural Machine Translation.
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018

Learning Interpretable Spatial Operations in a Rich 3D Blocks World.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Natural Language Inference from Multiple Premises.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016
Supertagging With LSTMs.
Proceedings of the NAACL HLT 2016, 2016

Natural Language Communication with Robots.
Proceedings of the NAACL HLT 2016, 2016

Unsupervised Neural Hidden Markov Models.
Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, 2016

Evaluating Induced CCG Parsers on Grounded Semantic Parsing.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Towards a Dataset for Human Computer Communication via Grounded Language Acquisition.
Proceedings of the Symbiotic Cognitive Systems, 2016

2015
Unsupervised grammar induction with Combinatory Categorial Grammars
PhD thesis, 2015

Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Labeled Grammar Induction with Minimal Supervision.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013
An HDP Model for Inducing Combinatory Categorial Grammars.
Trans. Assoc. Comput. Linguistics, 2013

2012
Document-topic hierarchies from document graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Simple Robust Grammar Induction with Combinatory Categorial Grammars.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010
Normal-form parsing for Combinatory Categorial Grammars with generalized composition and type-raising.
Proceedings of the COLING 2010, 2010


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