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07/11/2023
Towards Robust and Efficient Continual Language Learning
As the application space of language models continues to evolve, a natur...
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05/23/2022
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Knowledge and language understanding of models evaluated through questio...
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03/10/2022
Internet-augmented language models through few-shot prompting for open-domain question answering
In this work, we aim to capitalize on the unique few-shot capabilities o...
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02/03/2021
Pitfalls of Static Language Modelling
Our world is open-ended, non-stationary and constantly evolving; thus wh...
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01/25/2021
Emergent Communication under Competition
The literature in modern machine learning has only negative results for ...
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10/20/2020
Negotiating Team Formation Using Deep Reinforcement Learning
When autonomous agents interact in the same environment, they must often...
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06/03/2020
Emergent Multi-Agent Communication in the Deep Learning Era
The ability to cooperate through language is a defining feature of human...
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05/14/2020
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning
We present a method for combining multi-agent communication and traditio...
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04/21/2020
Experience Grounds Language
Successful linguistic communication relies on a shared experience of the...
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12/12/2019
Shaping representations through communication: community size effect in artificial learning systems
Motivated by theories of language and communication that explain why com...
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12/11/2019
Biases for Emergent Communication in Multi-agent Reinforcement Learning
We study the problem of emergent communication, in which language arises...
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01/31/2019
Learning and Evaluating General Linguistic Intelligence
We define general linguistic intelligence as the ability to reuse previo...
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10/19/2018
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
We propose a unified mechanism for achieving coordination and communicat...
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10/19/2018
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
We derive a new intrinsic social motivation for multi-agent reinforcemen...
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04/11/2018
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
The ability of algorithms to evolve or learn (compositional) communicati...
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04/11/2018
Emergent Communication through Negotiation
Multi-agent reinforcement learning offers a way to study how communicati...
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04/06/2018
Compositional Obverter Communication Learning From Raw Visual Input
One of the distinguishing aspects of human language is its compositional...
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11/02/2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
To achieve general intelligence, agents must learn how to interact with ...
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07/25/2017
The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations
This paper presents the results of the RepEval 2017 Shared Task, which e...
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01/31/2017
CommAI: Evaluating the first steps towards a useful general AI
With machine learning successfully applied to new daunting problems almo...
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12/21/2016
Multi-Agent Cooperation and the Emergence of (Natural) Language
The current mainstream approach to train natural language systems is to ...
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06/20/2016
The LAMBADA dataset: Word prediction requiring a broad discourse context
We introduce LAMBADA, a dataset to evaluate the capabilities of computat...
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05/23/2016
Towards Multi-Agent Communication-Based Language Learning
We propose an interactive multimodal framework for language learning. In...
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03/08/2016
The red one!: On learning to refer to things based on their discriminative properties
As a first step towards agents learning to communicate about their visua...
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06/10/2015
Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation
We introduce language-driven image generation, the task of generating an...
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01/12/2015
From Visual Attributes to Adjectives through Decompositional Distributional Semantics
As automated image analysis progresses, there is increasing interest in ...
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01/12/2015
Combining Language and Vision with a Multimodal Skip-gram Model
We extend the SKIP-GRAM model of Mikolov et al. (2013a) by taking visual...
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12/20/2014