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Tracing Knowledge in Language Models Back to the Training Data



Ekin Akyürek , Tolga Bolukbasi , Frederick Liu , Binbin Xiong , Ian Tenney , Jacob Andreas , Kelvin Guu

* 14 pages, 5 Tables, 5 Figures 

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Identifying concept libraries from language about object structure



Catherine Wong , William P. McCarthy , Gabriel Grand , Yoni Friedman , Joshua B. Tenenbaum , Jacob Andreas , Robert D. Hawkins , Judith E. Fan

* Appears in the conference proceedings of CogSci 2022 

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Correcting Robot Plans with Natural Language Feedback



Pratyusha Sharma , Balakumar Sundaralingam , Valts Blukis , Chris Paxton , Tucker Hermans , Antonio Torralba , Jacob Andreas , Dieter Fox

* 10 pages, 13 figures 

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Teachable Reinforcement Learning via Advice Distillation



Olivia Watkins , Trevor Darrell , Pieter Abbeel , Jacob Andreas , Abhishek Gupta

* Published at NeurIPS 2021 

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Pre-Trained Language Models for Interactive Decision-Making



Shuang Li , Xavier Puig , Yilun Du , Clinton Wang , Ekin Akyurek , Antonio Torralba , Jacob Andreas , Igor Mordatch


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Compositionality as Lexical Symmetry



Ekin Akyürek , Jacob Andreas

* 12 pages, 3 Figures 

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Natural Language Descriptions of Deep Visual Features



Evan Hernandez , Sarah Schwettmann , David Bau , Teona Bagashvili , Antonio Torralba , Jacob Andreas

* To be published as a conference paper at ICLR 2022 

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Modeling Strong and Human-Like Gameplay with KL-Regularized Search



Athul Paul Jacob , David J. Wu , Gabriele Farina , Adam Lerer , Anton Bakhtin , Jacob Andreas , Noam Brown


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Quantifying Adaptability in Pre-trained Language Models with 500 Tasks



Belinda Z. Li , Jane Yu , Madian Khabsa , Luke Zettlemoyer , Alon Halevy , Jacob Andreas

* 18 pages, 5 figures, 8 tables 

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How Do Neural Sequence Models Generalize? Local and Global Context Cues for Out-of-Distribution Prediction



Anthony Bau , Jacob Andreas


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