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20152026
most citedA First Instagram Dataset on COVID-19

58 citations · 65 across the 18 of their papers we have counts for

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10 papers · 1 filter

cs.CL2026

Disentangling Topology and Diversity in Multi-Agent LLMs for Multilingual Low-Resource Emotion Detection

Ulugbek Shernazarov, Charitha Ruwansiri Weerakon Basnayake, Abdelkhaleq El Jarjini +2

Multi-agent LLM systems combine multiple inference calls, but prior work often confounds how calls are connected with how they are diversified. We study these factors independently…

cs.CL2026

PTEI: Integrating Personality Traits to Enhance Emotional Intelligence in Large Language Models

Amir Reza Jafari, Praboda Rajapaksha, Reza Farahbakhsh +1

Despite advances in Emotional Intelligence (EI), Large Language Models (LLMs) still significantly underperform humans in complex emotional reasoning. This gap originates partly fro…

cs.CL2025

Global Beats, Local Tongue: Studying Code Switching in K-pop Hits on Billboard Charts

Aditya Narayan Sankaran, Reza Farahbakhsh, Noel Crespi

Code switching, particularly between Korean and English, has become a defining feature of modern K-pop, reflecting both aesthetic choices and global market strategies. This paper i…

cs.CL2025

Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition

Guanlin Li, Yuki Arase, Noel Crespi

Text simplification is crucial for improving accessibility and comprehension for English as a Second Language (ESL) learners. This study goes a step further and aims to facilitate…

cs.CL2024

Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning

Aditya Narayan Sankaran, Reza Farahbakhsh, Noel Crespi

Online abusive content detection, particularly in low-resource settings and within the audio modality, remains underexplored. We investigate the potential of pre-trained audio repr…

cs.CL2024

Evading Toxicity Detection with ASCII-art: A Benchmark of Spatial Attacks on Moderation Systems

Sergey Berezin, Reza Farahbakhsh, Noel Crespi

We introduce a novel class of adversarial attacks on toxicity detection models that exploit language models' failure to interpret spatially structured text in the form of ASCII art…