activity
20242026
most citedUsing Large Language Models to Understand Telecom Standards

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Semantic Hardness Is Not Visual Hardness: Sign-Aware Hard Negative Mining for Sign Language Retrieval

Junmyeong Lee, Chan Hur, ChangSu Choi +5

Sign Language Retrieval (SLRet) enables efficient access to sign language content but remains fragile in fine-grained scenarios where visually similar signs must be distinguished.…

cs.CL2026

Tigrinya Number Verbalization: Rules, Algorithm, and Implementation

Fitsum Gaim, Issayas Tesfamariam

We present a systematic formalization of Tigrinya cardinal and ordinal number verbalization, addressing a gap in computational resources for the language. This work documents the c…

cs.CL2025

Natural Language Processing for Tigrinya: Current State and Future Directions

Fitsum Gaim, Jong C. Park

Despite being spoken by millions of people, Tigrinya remains severely underrepresented in Natural Language Processing (NLP) research. This work presents a comprehensive survey of N…

cs.CL2025

A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings

Fitsum Gaim, Hoyun Song, Huije Lee +3

Content moderation research has recently made significant advances, but remains limited in serving the majority of the world's languages due to the lack of resources, leaving milli…

cs.CL2024★ 1 cited

Using Large Language Models to Understand Telecom Standards

Athanasios Karapantelakis, Mukesh Thakur, Alexandros Nikou +6

The Third Generation Partnership Project (3GPP) has successfully introduced standards for global mobility. However, the volume and complexity of these standards has increased over…