Jacob Andreas

Jacob Andreas

Massachusetts Institute of Technology

H-index: 43

North America-United States

About Jacob Andreas

Jacob Andreas, With an exceptional h-index of 43 and a recent h-index of 39 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of NLP, ML.

His recent articles reflect a diverse array of research interests and contributions to the field:

In-Context Language Learning: Architectures and Algorithms

A Multimodal Automated Interpretability Agent

Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks

LILO: Learning interpretable libraries by compressing and documenting code

Deductive closure training of language models for coherence, accuracy, and updatability

Automatic Discovery of Visual Circuits

Decision-oriented dialogue for human-AI collaboration

Visual Grounding Helps Learn Word Meanings in Low-Data Regimes

Jacob Andreas Information

University

Position

___

Citations(all)

8838

Citations(since 2020)

7340

Cited By

3641

hIndex(all)

43

hIndex(since 2020)

39

i10Index(all)

72

i10Index(since 2020)

66

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Jacob Andreas Skills & Research Interests

NLP

ML

Top articles of Jacob Andreas

Title

Journal

Author(s)

Publication Date

In-Context Language Learning: Architectures and Algorithms

arXiv preprint arXiv:2401.12973

Ekin Akyürek

Bailin Wang

Yoon Kim

Jacob Andreas

2024/1/23

A Multimodal Automated Interpretability Agent

arXiv preprint arXiv:2404.14394

Tamar Rott Shaham

Sarah Schwettmann

Franklin Wang

Achyuta Rajaram

Evan Hernandez

...

2024/4/22

Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks

arXiv preprint arXiv:2307.02477

Zhaofeng Wu

Linlu Qiu

Alexis Ross

Ekin Akyürek

Boyuan Chen

...

2023/7/5

LILO: Learning interpretable libraries by compressing and documenting code

ICLR

Gabriel Grand

Lionel Wong

Matthew Bowers

Theo X Olausson

Muxin Liu

...

2024

Deductive closure training of language models for coherence, accuracy, and updatability

arXiv preprint arXiv:2401.08574

Afra Feyza Akyürek

Ekin Akyürek

Leshem Choshen

Derry Wijaya

Jacob Andreas

2024/1/16

Automatic Discovery of Visual Circuits

arXiv preprint arXiv:2404.14349

Achyuta Rajaram

Neil Chowdhury

Antonio Torralba

Jacob Andreas

Sarah Schwettmann

2024/4/22

Decision-oriented dialogue for human-AI collaboration

arXiv preprint arXiv:2305.20076

Jessy Lin

Nicholas Tomlin

Jacob Andreas

Jason Eisner

2023/5/31

Visual Grounding Helps Learn Word Meanings in Low-Data Regimes

arXiv preprint arXiv:2310.13257

Chengxu Zhuang

Evelina Fedorenko

Jacob Andreas

2023/10/20

Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling

CogSci

Gabriel Grand

Valerio Pepe

Jacob Andreas

Joshua B Tenenbaum

2024

An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models

arXiv preprint arXiv:2404.03028

Emmy Liu

Graham Neubig

Jacob Andreas

2024/4/3

Natural language decomposition and interpretation of complex utterances

IJCAI

Harsh Jhamtani

Hao Fang

Patrick Xia

Eran Levy

Jacob Andreas

...

2024

The consensus game: Language model generation via equilibrium search

ICLR

Athul Paul Jacob

Yikang Shen

Gabriele Farina

Jacob Andreas

2024

Learning adaptive planning representations with natural language guidance

ICLR

Lionel Wong

Jiayuan Mao

Pratyusha Sharma

Zachary S Siegel

Jiahai Feng

...

2024

Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling

arXiv preprint arXiv:2403.14551

Chengxu Zhuang

Evelina Fedorenko

Jacob Andreas

2024/3/21

Linearity of relation decoding in transformer language models

arXiv preprint arXiv:2308.09124

Evan Hernandez

Arnab Sen Sharma

Tal Haklay

Kevin Meng

Martin Wattenberg

...

2023/8/17

Modeling boundedly rational agents with latent inference budgets

Athul Paul Jacob

Abhishek Gupta

Jacob Andreas

2023/12

Bayesian preference elicitation with language models

arXiv preprint arXiv:2403.05534

Kunal Handa

Yarin Gal

Ellie Pavlick

Noah Goodman

Jacob Andreas

...

2024/3/8

Learning with language-guided state abstractions

arXiv preprint arXiv:2402.18759

Andi Peng

Ilia Sucholutsky

Belinda Z Li

Theodore R Sumers

Thomas L Griffiths

...

2024/2/28

Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning

NAACL

Athul Paul Jacob

Gabriele Farina

Jacob Andreas

2024

FIND: A function description benchmark for evaluating interpretability methods

Advances in Neural Information Processing Systems

Sarah Schwettmann

Tamar Shaham

Joanna Materzynska

Neil Chowdhury

Shuang Li

...

2024/2/13

See List of Professors in Jacob Andreas University(Massachusetts Institute of Technology)

Co-Authors

H-index: 161
Trevor Darrell

Trevor Darrell

University of California, Berkeley

H-index: 156
Sergey Levine

Sergey Levine

University of California, Berkeley

H-index: 138
Antonio Torralba

Antonio Torralba

Massachusetts Institute of Technology

H-index: 137
Joshua B. Tenenbaum

Joshua B. Tenenbaum

Massachusetts Institute of Technology

H-index: 81
Kate Saenko

Kate Saenko

Boston University

H-index: 81
Kathleen McKeown

Kathleen McKeown

Columbia University in the City of New York

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