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1
Natural Language Descriptions of Deep Visual Features ...
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2
Compositionality as Lexical Symmetry ...
Akyürek, Ekin; Andreas, Jacob. - : arXiv, 2022
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3
Language as a bootstrap for compositional visual reasoning
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
Abstract: People think and learn abstractly and compositionally. These two key properties of human cognition are shared with natural language: we use a finite, composable vocabulary of nameable concepts to generate and understand a combinatorially large space of new sentence. In this paper, we present a domain of compositional reasoning tasks and an artificial language learning paradigm designed to probe the role language plays in bootstrapping learning. We discuss results from a language-guided program learning model suggesting that language can play an important role in bootstrapping learning by providing an important signal for search on individual problems, and a cue towards named, reusable abstractions across the domain as a whole. We evaluate adults on the same domain, comparing learning performance between those tasked with jointly learning language and solving reasoning tasks, and those who only approach the domain as a collection of inductive reasoning problems. We find that adults provided with abstract language prompts are better equipped to generalize and compose concepts learned across a domain than adults solving the same problems using reasoning alone.
Keyword: cognitive science
URL: https://escholarship.org/uc/item/71t3f3qq
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4
Compositional Models for Few Shot Sequence Learning
Akyurek, Ekin. - : Massachusetts Institute of Technology, 2021
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5
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales ...
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6
Implicit Representations of Meaning in Neural Language Models ...
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7
Implicit Representations of Meaning in Neural Language Models ...
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8
How Do Neural Sequence Models Generalize? Local and Global Cues for Out-of-Distribution Prediction ...
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9
Value-Agnostic Conversational Semantic Parsing ...
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10
Lexicon Learning for Few-Shot Neural Sequence Modeling ...
Akyürek, Ekin; Andreas, Jacob. - : arXiv, 2021
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11
What Context Features Can Transformer Language Models Use? ...
O'Connor, Joe; Andreas, Jacob. - : arXiv, 2021
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12
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks ...
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13
One-Shot Lexicon Learning for Low-Resource Machine Translation ...
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14
Lexicon Learning for Few Shot Sequence Modeling ...
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15
What Context Features Can Transformer Language Models Use? ...
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16
The Low-Dimensional Linear Geometry of Contextualized Word Representations ...
Hernandez, Evan; Andreas, Jacob. - : arXiv, 2021
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17
The Low-Dimensional Linear Geometry of Contextualized Word Representations ...
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18
Experience Grounds Language ...
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19
Compositional Explanations of Neurons ...
Mu, Jesse; Andreas, Jacob. - : arXiv, 2020
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20
A Benchmark for Systematic Generalization in Grounded Language Understanding ...
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