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Antonios Anastasopoulos

16 papers hereh-index 9320 citations23 works total

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

author position
  • middle author10
  • last author5

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL13
  • cs.LG2
  • cs.CY1
same name
  • Antonios Anastasopoulos — 81 papers, h 34
  • Antonios Anastasopoulos — 9 papers, h 6
  • Antonios Anastasopoulos — 7 papers, h 4
  • Antonios Anastasopoulos — 3 papers, h 3
  • Antonios Anastasopoulos — 1 paper, h 3
  • Antonios Anastasopoulos — 1 paper, h 3

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
20232026
most citedmHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code Generation

9 citations · 12 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.LG2025

Graph Enhanced Trajectory Anomaly Detection

Jonathan Kabala Mbuya, Dieter Pfoser, Antonios Anastasopoulos

Trajectory anomaly detection is essential for identifying unusual and unexpected movement patterns in applications ranging from intelligent transportation systems to urban safety a…

cs.CL2025

TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla

Nishat Raihan, Antonios Anastasopoulos, Marcos Zampieri

Despite being the 5th most spoken language, Bangla remains underrepresented in Large Language Models (LLMs), particularly for code generation. This primarily stems from the scarcit…

cs.CL2025

Talent or Luck? Evaluating Attribution Bias in Large Language Models

Chahat Raj, Mahika Banerjee, Jinhao Pan +3

When a student fails an exam, do we tend to blame their effort or the test's difficulty? Attribution, defined as how reasons are assigned to event outcomes, shapes perceptions, rei…

cs.CL2025

VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models

Chahat Raj, Bowen Wei, Aylin Caliskan +2

While bias in large language models (LLMs) is well-studied, similar concerns in vision-language models (VLMs) have received comparatively less attention. Existing VLM bias studies…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.