activity
20152023
most citedSocial-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks

113 citations · 918 across the 43 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2023

Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System

Jianguo Zhang, Stephen Roller, Kun Qian +6

End-to-end task-oriented dialogue (TOD) systems have achieved promising performance by leveraging sophisticated natural language understanding and natural language generation capab…

cs.CL2023

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization

Weiran Yao, Shelby Heinecke, Juan Carlos Niebles +12

Recent months have seen the emergence of a powerful new trend in which large language models (LLMs) are augmented to become autonomous language agents capable of performing objecti…

cs.CL2023

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI

Jianguo Zhang, Kun Qian, Zhiwei Liu +7

Despite advancements in conversational AI, language models encounter challenges to handle diverse conversational tasks, and existing dialogue dataset collections often lack diversi…

cs.CL20221 cited

Best- Search Algorithm for Neural Text Generation

Jiacheng Xu, Caiming Xiong, Silvio Savarese +1

Modern natural language generation paradigms require a good decoding strategy to obtain quality sequences out of the model. Beam search yields high-quality but low diversity output…

cs.CL20225 cited

Long Document Summarization with Top-down and Bottom-up Inference

Bo Pang, Erik Nijkamp, Wojciech Kryściński +3

Text summarization aims to condense long documents and retain key information. Critical to the success of a summarization model is the faithful inference of latent representations…

cs.CL2018

Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation

Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez +4

We propose an end-to-end deep learning model for translating free-form natural language instructions to a high-level plan for behavioral robot navigation. We use attention models t…