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researcher

Sangwoo Cho

Tencent US

28 papers hereh-index 13769 citations33 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author10
  • middle author18

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CL19
  • cs.CV3
  • cs.LG3
  • cs.AI2
  • cs.HC1
affiliations
  • Tencent US
HomepageORCID 0000-0002-4875-2565
same name
  • Sangwoo Cho — 1 paper, h 1
  • Sangwoo Cho — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedSpatio-Temporal Fusion Networks for Action Recognition

12 citations · 50 across the 28 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023

Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention

Kaiqiang Song, Xiaoyang Wang, Sangwoo Cho +2

This paper introduces a novel approach to enhance the capabilities of Large Language Models (LLMs) in processing and understanding extensive text sequences, a critical aspect in ap…

cs.CL2023★ 4 cited

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning

Fuxiao Liu, Xiaoyang Wang, Wenlin Yao +5

With the rapid development of large language models (LLMs) and their integration into large multimodal models (LMMs), there has been impressive progress in zero-shot completion of…

cs.CL2023★ 1 cited

Unsupervised Multi-document Summarization with Holistic Inference

Haopeng Zhang, Sangwoo Cho, Kaiqiang Song +4

Multi-document summarization aims to obtain core information from a collection of documents written on the same topic. This paper proposes a new holistic framework for unsupervised…

cs.CL2023

DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4

Yebowen Hu, Kaiqiang Song, Sangwoo Cho +3

Human preference judgments are pivotal in guiding large language models (LLMs) to produce outputs that align with human values. Human evaluations are also used in summarization tas…

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