43 citations · 58 across the 5 of their papers we have counts for
7 papers
Revisiting the Roles of "Text" in Text Games
Yi Gu, Shunyu Yao, Chuang Gan +2
Text games present opportunities for natural language understanding (NLU) methods to tackle reinforcement learning (RL) challenges. However, recent work has questioned the necessit…
TVShowGuess: Character Comprehension in Stories as Speaker Guessing
Yisi Sang, Xiangyang Mou, Mo Yu +3
We propose a new task for assessing machines' skills of understanding fictional characters in narrative stories. The task, TVShowGuess, builds on the scripts of TV series and takes…
Linking Emergent and Natural Languages via Corpus Transfer
Shunyu Yao, Mo Yu, Yang Zhang +3
The study of language emergence aims to understand how human languages are shaped by perceptual grounding and communicative intent. Computational approaches to emergent communicati…
DFA-NeRF: Personalized Talking Head Generation via Disentangled Face Attributes Neural Rendering
Shunyu Yao, RuiZhe Zhong, Yichao Yan +2
While recent advances in deep neural networks have made it possible to render high-quality images, generating photo-realistic and personalized talking head remains challenging. Wit…
Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents
Shunyu Yao, Karthik Narasimhan, Matthew Hausknecht
Text-based games simulate worlds and interact with players using natural language. Recent work has used them as a testbed for autonomous language-understanding agents, with the mot…
Keep CALM and Explore: Language Models for Action Generation in Text-based Games
Shunyu Yao, Rohan Rao, Matthew Hausknecht +1
Text-based games present a unique challenge for autonomous agents to operate in natural language and handle enormous action spaces. In this paper, we propose the Contextual Action…