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20172024
most citedPolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

31 citations · 133 across the 24 of their papers we have counts for

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6 papers · 1 filter

cs.CL2024

STRUX: An LLM for Decision-Making with Structured Explanations

Yiming Lu, Yebowen Hu, Hassan Foroosh +2

Countless decisions shape our daily lives, and it is paramount to understand the how and why behind these choices. In this paper, we introduce a new LLM decision-making framework c…

cs.CL2024

DeFine: Decision-Making with Analogical Reasoning over Factor Profiles

Yebowen Hu, Xiaoyang Wang, Wenlin Yao +5

LLMs are ideal for decision-making thanks to their ability to reason over long contexts. However, challenges arise when processing speech transcripts that describe complex scenario…

cs.CL2021

StreamHover: Livestream Transcript Summarization and Annotation

Sangwoo Cho, Franck Dernoncourt, Tim Ganter +7

With the explosive growth of livestream broadcasting, there is an urgent need for new summarization technology that enables us to create a preview of streamed content and tap into…

cs.CL2020

Better Highlighting: Creating Sub-Sentence Summary Highlights

Sangwoo Cho, Kaiqiang Song, Chen Li +3

Amongst the best means to summarize is highlighting. In this paper, we aim to generate summary highlights to be overlaid on the original documents to make it easier for readers to…

cs.CL20191 cited

Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations

Sangwoo Cho, Chen Li, Dong Yu +2

Emerged as one of the best performing techniques for extractive summarization, determinantal point processes select the most probable set of sentences to form a summary according t…

cs.CL20194 cited

Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization

Sangwoo Cho, Logan Lebanoff, Hassan Foroosh +1

The most important obstacles facing multi-document summarization include excessive redundancy in source descriptions and the looming shortage of training data. These obstacles prev…