5 citations · 8 across the 6 of their papers we have counts for
6 papers
Audio2Tool: Speak, Call, Act -- A Dataset for Benchmarking Speech Tool Use
Ramit Pahwa, Apoorva Beedu, Parivesh Priye +4
Voice assistants increasingly rely on Speech Language Models (SpeechLMs) to interpret spoken queries and execute complex tasks, yet existing benchmarks lack domain breadth, acousti…
TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization
Ze Yang, Liran Wang, Zhoujin Tian +2
Although pre-trained language models (PLMs) have achieved great success and become a milestone in NLP, abstractive conversational summarization remains a challenging but less studi…
StyleDGPT: Stylized Response Generation with Pre-trained Language Models
Ze Yang, Wei Wu, Can Xu +5
Generating responses following a desired style has great potentials to extend applications of open-domain dialogue systems, yet is refrained by lacking of parallel data for trainin…
Open Domain Dialogue Generation with Latent Images
Ze Yang, Wei Wu, Huang Hu +3
We consider grounding open domain dialogues with images. Existing work assumes that both an image and a textual context are available, but image-grounded dialogues by nature are mo…
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
Ze Yang, Can Xu, Wei Wu +1
Automatic news comment generation is a new testbed for techniques of natural language generation. In this paper, we propose a "read-attend-comment" procedure for news comment gener…
Low-Resource Response Generation with Template Prior
Ze Yang, Wei Wu, Jian Yang +2
We study open domain response generation with limited message-response pairs. The problem exists in real-world applications but is less explored by the existing work. Since the pai…