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Yoav artzi

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Articles by Yoav artzi

[2502.05397] Imitation Learning from a Single Temporally Misaligned Video

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By Anne Wu, Yoav artzi
| arXiv
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Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs

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By Yoav artzi
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2309.02691] A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models

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By Hadar Averbuch-Elor, Yoav artzi
| arXiv
arXiv:2309.02691 (cs) [Submitted on 6 Sep 2023 (v1), last revised 30 May 2024 (this version, v3)] View PDF Comments: Subjects: Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV) Cite as: arXiv:2309.02691 [cs.CL] (or arXiv:2309.02691v3 [cs.CL] for this version) https://doi.org/10.48550/arXiv.2309.02691 Submission history From: Yoav Artzi [ view email] [v1] Wed, 6 Sep 2023 03:54:57 UTC (12,768 KB) [v2] Wed, 28 Feb 2024 09:44:46 UTC (31,164 KB) [v3] Thu, 30 May...
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CB2: Collaborative Natural Language Interaction Research Platform

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By Mustafa Omer, Yoav artzi
| arXiv
arXiv:2303.08127 (cs) [Submitted on 14 Mar 2023 (v1), last revised 26 May 2023 (this version, v2)] Download a PDF of the paper titled CB2: Collaborative Natural Language Interaction Research Platform, by Jacob Sharf and 2 other authors Download PDF Submission history From: Yoav Artzi [ view email] [v1] Tue, 14 Mar 2023 17:57:06 UTC (13,418 KB) [v2] Fri, 26 May 2023 18:35:47 UTC (3,484 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What...
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[2305.12473] Continually Improving Extractive QA via Human Feedback

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By Yoav artzi, Hung-Ting Chen, Eunsol Choi
| arXiv
arXiv:2305.12473 (cs) [Submitted on 21 May 2023 (v1), last revised 3 Nov 2023 (this version, v2)] Download PDF Comments: Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG) Cite as: arXiv:2305.12473 [cs.CL] (or arXiv:2305.12473v2 [cs.CL] for this version) https://doi.org/10.48550/arXiv.2305.12473 Submission history From: Hung-Ting Chen [ view email] [v1] Sun, 21 May 2023 14:35:32 UTC (434 KB) [v2] Fri, 3 Nov 2023 18:23:58 UTC (1,554 KB)...
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[1811.08824] Early Fusion for Goal Directed Robotic Vision

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By Yoav artzi, Yonatan Bisk, Saadia Gabriel, Dipendra Misra
| arXiv
Abstract: Increasingly, perceptual systems are being codified as strict pipelines wherein vision is treated as a pre-processing step to provide a dense representation of the scene to planners for high level reasoning downstream. Problematically, this paradigm forces models to represent nearly every aspect of the scene even if it has no bearing on the task at hand.
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