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Learning with Latent Language

Learning with Latent Language

1 November 2017
Jacob Andreas
Dan Klein
Sergey Levine
ArXivPDFHTML

Papers citing "Learning with Latent Language"

41 / 41 papers shown
Title
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
Tejas Deshpande
Nidhi Kowtal
Raviraj Joshi
LRM
55
1
0
31 Dec 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Ruiqi Zhong
Heng Wang
Dan Klein
Jacob Steinhardt
37
6
0
13 Sep 2024
Lifelong Robot Library Learning: Bootstrapping Composable and
  Generalizable Skills for Embodied Control with Language Models
Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models
Georgios Tziafas
Hamidreza Kasaei
KELM
LM&Ro
49
8
0
26 Jun 2024
Predictive Chemistry Augmented with Text Retrieval
Predictive Chemistry Augmented with Text Retrieval
Yujie Qian
Zhening Li
Zhengkai Tu
Connor W. Coley
Regina Barzilay
23
7
0
08 Dec 2023
A Survey on Multimodal Large Language Models for Autonomous Driving
A Survey on Multimodal Large Language Models for Autonomous Driving
Can Cui
Yunsheng Ma
Xu Cao
Wenqian Ye
Yang Zhou
...
Xinrui Yan
Shuqi Mei
Jianguo Cao
Ziran Wang
Chao Zheng
48
258
0
21 Nov 2023
Improving Long-Horizon Imitation Through Instruction Prediction
Improving Long-Horizon Imitation Through Instruction Prediction
Joey Hejna
Pieter Abbeel
Lerrel Pinto
27
7
0
21 Jun 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
Jesse Zhang
Karl Pertsch
Jiahui Zhang
Joseph J. Lim
LM&Ro
45
17
0
20 Jun 2023
LaSQuE: Improved Zero-Shot Classification from Explanations Through
  Quantifier Modeling and Curriculum Learning
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning
Sayan Ghosh
Rakesh R Menon
Shashank Srivastava
30
2
0
18 Dec 2022
Fixing Model Bugs with Natural Language Patches
Fixing Model Bugs with Natural Language Patches
Shikhar Murty
Christopher D. Manning
Scott M. Lundberg
Marco Tulio Ribeiro
KELM
32
37
0
07 Nov 2022
Learning to Reason With Relational Abstractions
Learning to Reason With Relational Abstractions
A. Nam
Mengye Ren
Chelsea Finn
James L. McClelland
ReLM
LRM
45
4
0
06 Oct 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial
  Intelligence with Humans
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans
John J. Nay
ELM
AILaw
88
27
0
14 Sep 2022
Contrastive Audio-Language Learning for Music
Contrastive Audio-Language Learning for Music
Ilaria Manco
Emmanouil Benetos
Elio Quinton
Gyorgy Fazekas
27
44
0
25 Aug 2022
Improving Few-Shot Image Classification Using Machine- and
  User-Generated Natural Language Descriptions
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions
Kosuke Nishida
Kyosuke Nishida
Shuichi Nishioka
VLM
34
7
0
07 Jul 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy
How to talk so AI will learn: Instructions, descriptions, and autonomy
T. Sumers
Robert D. Hawkins
Mark K. Ho
Thomas Griffiths
Dylan Hadfield-Menell
LM&Ro
38
20
0
16 Jun 2022
CLUES: A Benchmark for Learning Classifiers using Natural Language
  Explanations
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations
Rakesh R Menon
Sayan Ghosh
Shashank Srivastava
LRM
ELM
29
9
0
14 Apr 2022
Can language models learn from explanations in context?
Can language models learn from explanations in context?
Andrew Kyle Lampinen
Ishita Dasgupta
Stephanie C. Y. Chan
Kory Matthewson
Michael Henry Tessler
Antonia Creswell
James L. McClelland
Jane X. Wang
Felix Hill
LRM
ReLM
61
286
0
05 Apr 2022
One-Shot Learning from a Demonstration with Hierarchical Latent Language
One-Shot Learning from a Demonstration with Hierarchical Latent Language
Nathaniel Weir
Xingdi Yuan
Marc-Alexandre Côté
Matthew J. Hausknecht
Romain Laroche
Ida Momennejad
H. V. Seijen
Benjamin Van Durme
BDL
27
6
0
09 Mar 2022
SemSup: Semantic Supervision for Simple and Scalable Zero-shot
  Generalization
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization
Austin W. Hanjie
Ameet Deshpande
Karthik Narasimhan
VLM
36
2
0
26 Feb 2022
Abstraction for Deep Reinforcement Learning
Abstraction for Deep Reinforcement Learning
Murray Shanahan
Melanie Mitchell
OffRL
35
28
0
10 Feb 2022
Pre-Trained Language Models for Interactive Decision-Making
Pre-Trained Language Models for Interactive Decision-Making
Shuang Li
Xavier Puig
Chris Paxton
Yilun Du
Clinton Jia Wang
...
Anima Anandkumar
Jacob Andreas
Igor Mordatch
Antonio Torralba
Yuke Zhu
LM&Ro
50
249
0
03 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
447
8,650
0
28 Jan 2022
Explanatory Learning: Beyond Empiricism in Neural Networks
Explanatory Learning: Beyond Empiricism in Neural Networks
Antonio Norelli
Giorgio Mariani
Luca Moschella
Andrea Santilli
Giambattista Parascandolo
Simone Melzi
Emanuele Rodolà
14
2
0
25 Jan 2022
PatchGame: Learning to Signal Mid-level Patches in Referential Games
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta
Gowthami Somepalli
Anubhav Gupta
Vinoj Jayasundara
Matthias Zwicker
Abhinav Shrivastava
25
3
0
02 Nov 2021
Skill Induction and Planning with Latent Language
Skill Induction and Planning with Latent Language
Pratyusha Sharma
Antonio Torralba
Jacob Andreas
LM&Ro
202
108
0
04 Oct 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics
Leveraging Language to Learn Program Abstractions and Search Heuristics
Catherine Wong
Kevin Ellis
J. Tenenbaum
Jacob Andreas
27
54
0
18 Jun 2021
Communicating Natural Programs to Humans and Machines
Communicating Natural Programs to Humans and Machines
Samuel Acquaviva
Yewen Pu
Marta Kryven
Theo Sechopoulos
Catherine Wong
Gabrielle Ecanow
Maxwell Nye
Michael Henry Tessler
J. Tenenbaum
38
40
0
15 Jun 2021
Rich Semantics Improve Few-shot Learning
Rich Semantics Improve Few-shot Learning
Mohamed Afham
Salman Khan
Muhammad Haris Khan
Muzammal Naseer
Fahad Shahbaz Khan
VLM
34
24
0
26 Apr 2021
Supervising Model Attention with Human Explanations for Robust Natural
  Language Inference
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
30
45
0
16 Apr 2021
Pretrained Transformers as Universal Computation Engines
Pretrained Transformers as Universal Computation Engines
Kevin Lu
Aditya Grover
Pieter Abbeel
Igor Mordatch
28
217
0
09 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
188
27,929
0
26 Feb 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,805
0
24 Feb 2021
Interactive Learning from Activity Description
Interactive Learning from Activity Description
Khanh Nguyen
Dipendra Kumar Misra
Robert Schapire
Miroslav Dudík
Patrick Shafto
52
34
0
13 Feb 2021
When Can Models Learn From Explanations? A Formal Framework for
  Understanding the Roles of Explanation Data
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
Peter Hase
Joey Tianyi Zhou
XAI
25
87
0
03 Feb 2021
Connecting Context-specific Adaptation in Humans to Meta-learning
Connecting Context-specific Adaptation in Humans to Meta-learning
Rachit Dubey
Erin Grant
Michael Luo
Karthik Narasimhan
Thomas Griffiths
24
4
0
27 Nov 2020
NILE : Natural Language Inference with Faithful Natural Language
  Explanations
NILE : Natural Language Inference with Faithful Natural Language Explanations
Sawan Kumar
Partha P. Talukdar
XAI
LRM
19
160
0
25 May 2020
Robust and Interpretable Grounding of Spatial References with Relation
  Networks
Robust and Interpretable Grounding of Spatial References with Relation Networks
Tsung-Yen Yang
Andrew S. Lan
Karthik Narasimham
27
12
0
02 May 2020
Guiding Policies with Language via Meta-Learning
Guiding Policies with Language via Meta-Learning
John D. Co-Reyes
Abhishek Gupta
Suvansh Sanjeev
Nick Altieri
Jacob Andreas
John DeNero
Pieter Abbeel
Sergey Levine
LM&Ro
26
63
0
19 Nov 2018
Scalable agent alignment via reward modeling: a research direction
Scalable agent alignment via reward modeling: a research direction
Jan Leike
David M. Krueger
Tom Everitt
Miljan Martic
Vishal Maini
Shane Legg
34
397
0
19 Nov 2018
Guiding Reinforcement Learning Exploration Using Natural Language
Guiding Reinforcement Learning Exploration Using Natural Language
Brent Harrison
Upol Ehsan
Mark O. Riedl
OffRL
82
27
0
26 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
463
11,715
0
09 Mar 2017
Language as a Latent Variable: Discrete Generative Models for Sentence
  Compression
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Yishu Miao
Phil Blunsom
201
223
0
23 Sep 2016
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