activity
20212026
most citedReAct: Synergizing Reasoning and Acting in Language Models

596 citations · 1.5k across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.AI2022★ 1 cited

Speech Aware Dialog System Technology Challenge (DSTC11)

Hagen Soltau, Izhak Shafran, Mingqiu Wang +6

Most research on task oriented dialog modeling is based on written text input. However, users interact with practical dialog systems often using speech as input. Typically, systems…

cs.CL2022

AnyTOD: A Programmable Task-Oriented Dialog System

Jeffrey Zhao, Yuan Cao, Raghav Gupta +6

We propose AnyTOD, an end-to-end, zero-shot task-oriented dialog (TOD) system capable of handling unseen tasks without task-specific training. We view TOD as a program executed by…

cs.CL2022★ 596 cited

ReAct: Synergizing Reasoning and Acting in Language Models

Shunyu Yao, Jeffrey Zhao, Dian Yu +4

While large language models (LLMs) have demonstrated impressive capabilities across tasks in language understanding and interactive decision making, their abilities for reasoning (…

cs.CL2022★ 6 cited

N-Grammer: Augmenting Transformers with latent n-grams

Aurko Roy, Rohan Anil, Guangda Lai +13

Transformer models have recently emerged as one of the foundational models in natural language processing, and as a byproduct, there is significant recent interest and investment i…

cs.CL2022★ 18 cited

Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue

Raghav Gupta, Harrison Lee, Jeffrey Zhao +3

Building universal dialogue systems that operate across multiple domains/APIs and generalize to new ones with minimal overhead is a critical challenge. Recent works have leveraged…

cs.CL2022★ 33 cited

Description-Driven Task-Oriented Dialog Modeling

Jeffrey Zhao, Raghav Gupta, Yuan Cao +6

Task-oriented dialogue (TOD) systems are required to identify key information from conversations for the completion of given tasks. Such information is conventionally specified in…