9 citations · 12 across the 13 of their papers we have counts for
7 papers · 1 filter
mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code Generation
Nishat Raihan, Antonios Anastasopoulos, Marcos Zampieri
Recent advancements in large language models (LLMs) have significantly enhanced code generation from natural language prompts. The HumanEval Benchmark, developed by OpenAI, remains…
Trajectory Anomaly Detection with Language Models
Jonathan Mbuya, Dieter Pfoser, Antonios Anastasopoulos
This paper presents a novel approach for trajectory anomaly detection using an autoregressive causal-attention model, termed LM-TAD. This method leverages the similarities between…
Urban Mobility Assessment Using LLMs
Prabin Bhandari, Antonios Anastasopoulos, Dieter Pfoser
Understanding urban mobility patterns and analyzing how people move around cities helps improve the overall quality of life and supports the development of more livable, efficient,…
Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis
Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan +2
Large Language Models (LLMs) perpetuate social biases, reflecting prejudices in their training data and reinforcing societal stereotypes and inequalities. Our work explores the pot…
Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models
Anjishnu Mukherjee, Ziwei Zhu, Antonios Anastasopoulos
We present a comprehensive three-phase study to examine (1) the cultural understanding of Large Multimodal Models (LMMs) by introducing DalleStreet, a large-scale dataset generated…
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models
Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan +2
Existing works examining Vision-Language Models (VLMs) for social biases predominantly focus on a limited set of documented bias associations, such as gender:profession or race:cri…
EmoMix-3L: A Code-Mixed Dataset for Bangla-English-Hindi Emotion Detection
Nishat Raihan, Dhiman Goswami, Antara Mahmud +2
Code-mixing is a well-studied linguistic phenomenon that occurs when two or more languages are mixed in text or speech. Several studies have been conducted on building datasets and…