Papers by Angeliki Lazaridou
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning (2020.acl-main)
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| Challenge: | a new method for combining multi-agent communication with traditional data-driven approaches to natural language learning is proposed . we combine the two types of learning with a goal of teaching agents to communicate with humans in natural language. |
| Approach: | They propose a method that combines traditional data-driven approaches to natural language learning with multi-agent self-play environments. |
| Outcome: | The proposed method outperforms other methods in communicating with humans in natural language. |
Experience Grounds Language (2020.emnlp-main)
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Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph Turian
| Challenge: | aaron carroll: language understanding research is held back by a failure to relate language to the physical world it describes and to social interactions it facilitates. carroll says successful linguistic communication relies on a shared experience of the world. |
| Approach: | They propose to use a broader physical and social context to address communication problems . they argue that the current success of representation learning approaches is limited . |
| Outcome: | a new study suggests that the current success of representation learning requires a parallel tradition of research on the broader physical and social context of language to address the deeper questions of communication. |
Emergent Language-Based Coordination In Deep Multi-Agent Systems (2022.emnlp-tutorials)
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| Challenge: | Pre-trained deep networks are the standard building blocks of modern AI applications. |
| Approach: | This tutorial will introduce deep net emergent communication and discuss current shortcomings . participants will implement and analyze two emergentic communication setups from the literature . |
| Outcome: | The presentation will cover various topics from the present and recent past, as well as discussing current shortcomings and suggest future directions. |