activity
20182022
most citedConvergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions

4 citations · 9 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL20222 cited

Jointly Reinforced User Simulator and Task-oriented Dialog System with Simplified Generative Architecture

Hong Liu, Zhijian Ou, Yi Huang +1

Recently, there has been progress in supervised funetuning pretrained GPT-2 to build end-to-end task-oriented dialog (TOD) systems. However, online reinforcement learning of a GPT-…

cs.CL20213 cited

Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems

Anish Acharya, Suranjit Adhikari, Sanchit Agarwal +28

Traditional goal-oriented dialogue systems rely on various components such as natural language understanding, dialogue state tracking, policy learning and response generation. Trai…

cs.GT20204 cited

Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions

Zhe Feng, Guru Guruganesh, Christopher Liaw +2

The connection between games and no-regret algorithms has been widely studied in the literature. A fundamental result is that when all players play no-regret strategies, this produ…

cs.CL2019

Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents

Nikolaos Malandrakis, Minmin Shen, Anuj Goyal +3

Data availability is a bottleneck during early stages of development of new capabilities for intelligent artificial agents. We investigate the use of text generation techniques to…

cs.CL2019

Dialog State Tracking: A Neural Reading Comprehension Approach

Shuyang Gao, Abhishek Sethi, Sanchit Agarwal +2

Dialog state tracking is used to estimate the current belief state of a dialog given all the preceding conversation. Machine reading comprehension, on the other hand, focuses on bu…

cs.CL2018

Parsing Coordination for Spoken Language Understanding

Sanchit Agarwal, Rahul Goel, Tagyoung Chung +3

Typical spoken language understanding systems provide narrow semantic parses using a domain-specific ontology. The parses contain intents and slots that are directly consumed by do…