We introduce a large scale crowdsourced text adventure game as a research platform for
studying grounded dialogue. In it, agents can perceive, emote, and act whilst conducting …

We seek to create agents that both act and communicate with other agents in pursuit of a
goal. Towards this end, we extend LIGHT (Urbanek et al. 2019)--a large-scale crowd …

Large language models (LLMs) such as ChatGPT and GPT-4 have recently demonstrated
their remarkable abilities of communicating with human users. In this technical report, we …

GPT-2, a neural language model trained on a large dataset of English web text, has been
used in a variety of natural language generation tasks because of the language quality and …

A hallmark of human intelligence is the ability to understand and communicate with
language. Interactive Fiction games are fully text-based simulation environments where a …

To interact with humans in the world, agents need to understand the diverse types of
language that people use, relate them to the visual world, and act based on them. While …

In this paper, we consider mimicking fictional characters as a promising direction for building
engaging conversation models. To this end, we present a new practical task where only a …

The current mainstream approach to train natural language systems is to expose them to
large amounts of text. This passive learning is problematic if we are interested in developing …

Models often easily learn biases present in the training data, and their predictions directly
reflect this bias. We analyze gender bias in dialogue data, and examine how this bias is …

Emergent multi-agent communication protocols are very different from natural language and
not easily interpretable by humans. We find that agents that were initially pretrained to …