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20212026
most citedClass-Wise Principal Component Analysis for hyperspectral image feature extraction

4 citations · 9 across the 39 of their papers we have counts for

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cs.CL2026

GreekMMLU: A Native-Sourced Multitask Benchmark for Evaluating Language Models in Greek

Yang Zhang, Mersin Konomi, Christos Xypolopoulos +6

Large Language Models (LLMs) are commonly trained on multilingual corpora that include Greek, yet reliable evaluation benchmarks for Greek-particularly those based on authentic, na…

cs.CL2026

AILS-NTUA at SemEval-2026 Task 8: Evaluating Multi-Turn RAG Conversations

Dimosthenis Athanasiou, Maria Lymperaiou, Giorgos Filandrianos +2

We present the AILS-NTUA system for SemEval-2026 Task 8 (MTRAGEval), addressing all three subtasks of multi-turn retrieval-augmented generation: passage retrieval (A), reference-gr…

cs.CL2026

AILS-NTUA at SemEval-2026 Task 3: Efficient Dimensional Aspect-Based Sentiment Analysis

Stavros Gazetas, Giorgos Filandrianos, Maria Lymperaiou +3

In this paper, we present AILS-NTUA system for Track-A of SemEval-2026 Task 3 on Dimensional Aspect-Based Sentiment Analysis (DimABSA), which encompasses three complementary proble…

cs.CL2026

AILS-NTUA at SemEval-2026 Task 10: Agentic LLMs for Psycholinguistic Marker Extraction and Conspiracy Endorsement Detection

Panagiotis Alexios Spanakis, Maria Lymperaiou, Giorgos Filandrianos +2

This paper presents a novel agentic LLM pipeline for SemEval-2026 Task 10 that jointly extracts psycholinguistic conspiracy markers and detects conspiracy endorsement. Unlike tradi…

cs.CL2026

AILS-NTUA at SemEval-2026 Task 12: Graph-Based Retrieval and Reflective Prompting for Abductive Event Reasoning

Nikolas Karafyllis, Maria Lymperaiou, Giorgos Filandrianos +2

We present a winning three-stage system for SemEval 2026 Task~12: Abductive Event Reasoning that combines graph-based retrieval, LLM-driven abductive reasoning with prompt design o…

cs.CL2026

Evaluating Counterfactual Strategic Reasoning in Large Language Models

Dimitrios Georgousis, Maria Lymperaiou, Angeliki Dimitriou +2

We evaluate Large Language Models (LLMs) in repeated game-theoretic settings to assess whether strategic performance reflects genuine reasoning or reliance on memorized patterns. W…