activity
20192024
most citedSelf-Calibrated Cross Attention Network for Few-Shot Segmentation

5 citations · 14 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2024

WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild

Yuntian Deng, Wenting Zhao, Jack Hessel +3

The increasing availability of real-world conversation data offers exciting opportunities for researchers to study user-chatbot interactions. However, the sheer volume of this data…

cs.CL20231 cited

Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification

Zhongfen Deng, Seunghyun Yoon, Trung Bui +7

Aspect-based meeting transcript summarization aims to produce multiple summaries, each focusing on one aspect of content in a meeting transcript. It is challenging as sentences rel…

cs.CL2023

JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction

Zhongfen Deng, Hao Peng, Tao Zhang +4

Product attribute value extraction is an important task in e-Commerce which can help several downstream applications such as product search and recommendation. Most previous models…

cs.CL2023

Symbolic Planning and Code Generation for Grounded Dialogue

Justin T. Chiu, Wenting Zhao, Derek Chen +3

Large language models (LLMs) excel at processing and generating both text and code. However, LLMs have had limited applicability in grounded task-oriented dialogue as they are diff…

cs.CL20231 cited

Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach

Yibo Wang, Wenting Zhao, Yao Wan +2

Named Entity Recognition (NER) aims to extract and classify entity mentions in the text into pre-defined types (e.g., organization or person name). Recently, many works have been p…

cs.CV20235 cited

Self-Calibrated Cross Attention Network for Few-Shot Segmentation

Qianxiong Xu, Wenting Zhao, Guosheng Lin +1

The key to the success of few-shot segmentation (FSS) lies in how to effectively utilize support samples. Most solutions compress support foreground (FG) features into prototypes,…