output
20172026
most citedBioBERT: a pre-trained biomedical language representation model for biomedical text mining

7.5k citations

Showing 2024Show all

9 papers · 1 filter

cs.HC2024★ 13 cited

Textoshop: Interactions Inspired by Drawing Software to Facilitate Text Editing

Damien Masson, Young-Ho Kim, Fanny Chevalier

We explore how interactions inspired by drawing software can help edit text. Making an analogy between visual and text editing, we consider words as pixels, sentences as regions, a…

cs.HC2024★ 4 cited

ELMI: Interactive and Intelligent Sign Language Translation of Lyrics for Song Signing

Suhyeon Yoo, Khai N. Truong, Young-Ho Kim

d/Deaf and hearing song-signers have become prevalent across video-sharing platforms, but translating songs into sign language remains cumbersome and inaccessible. Our formative st…

cs.HC2024★ 25 cited

ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models

Inhwa Song, SoHyun Park, Sachin R. Pendse +3

Expressing stressful experiences in words is proven to improve mental and physical health, but individuals often disengage with writing interventions as they struggle to organize t…

cs.HC2024★ 21 cited

AACessTalk: Fostering Communication between Minimally Verbal Autistic Children and Parents with Contextual Guidance and Card Recommendation

Dasom Choi, SoHyun Park, Kyungah Lee +2

As minimally verbal autistic (MVA) children communicate with parents through few words and nonverbal cues, parents often struggle to encourage their children to express subtle emot…

cs.CV2024★ 17 cited

Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification

Hyunmin Choi, Jiwon Kim, Chiyoung Song +2

We present Blind-Match, a novel biometric identification system that leverages homomorphic encryption (HE) for efficient and privacy-preserving 1:N matching. Blind-Match introduces…

cs.CL2024★ 135 cited

A Survey on Large Language Models for Code Generation

Juyong Jiang, Fan Wang, Jiasi Shen +2

Large Language Models (LLMs) have garnered remarkable advancements across diverse code-related tasks, known as Code LLMs, particularly in code generation that generates source code…

cs.LG2024★ 6 cited

A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting

Young-Jin Park, Donghyun Kim, Frédéric Odermatt +2

Time series forecasting is one of the most essential and ubiquitous tasks in many business problems, including demand forecasting and logistics optimization. Traditional time serie…

cs.HC2024★ 69 cited

Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention

Eunkyung Jo, Yuin Jeong, SoHyun Park +2

Recent large language models (LLMs) offer the potential to support public health monitoring by facilitating health disclosure through open-ended conversations but rarely preserve t…

cs.CR2024★ 8 cited

UniHENN: Designing Faster and More Versatile Homomorphic Encryption-based CNNs without im2col

Hyunmin Choi, Jihun Kim, Seungho Kim +4

Homomorphic encryption (HE) enables privacy-preserving deep learning by allowing computations on encrypted data without decryption. However, deploying convolutional neural networks…