most citedIs ChatGPT a Good Multi-Party Conversation Solver?

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2024

Multiscale Matching Driven by Cross-Modal Similarity Consistency for Audio-Text Retrieval

Qian Wang, Jia-Chen Gu, Zhen-Hua Ling

Audio-text retrieval (ATR), which retrieves a relevant caption given an audio clip (A2T) and vice versa (T2A), has recently attracted much research attention. Existing methods typi…

cs.CL20232 cited

Is ChatGPT a Good Multi-Party Conversation Solver?

Chao-Hong Tan, Jia-Chen Gu, Zhen-Hua Ling

Large Language Models (LLMs) have emerged as influential instruments within the realm of natural language processing; nevertheless, their capacity to handle multi-party conversatio…

cs.CL2023

SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction

Jun-Yu Ma, Jia-Chen Gu, Zhen-Hua Ling +3

Zero-shot cross-lingual information extraction(IE) aims at constructing an IE model for some low-resource target languages, given annotations exclusively in some rich-resource lang…

cs.CL2023

DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion

Chao-Hong Tan, Jia-Chen Gu, Zhen-Hua Ling

Diffusion models have emerged as the new state-of-the-art family of deep generative models, and their promising potentials for text generation have recently attracted increasing at…

cs.CL2023

USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER

Jun-Yu Ma, Jia-Chen Gu, Jiajun Qi +3

This paper describes the system developed by the USTC-NELSLIP team for SemEval-2023 Task 2 Multilingual Complex Named Entity Recognition (MultiCoNER II). A method named Statistical…

cs.CL2023

Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction

Caiyuan Chu, Ya Li, Yifan Liu +4

Intent recognition is critical for task-oriented dialogue systems. However, for emerging domains and new services, it is difficult to accurately identify the key intent of a conver…