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20092026
most citedCryptomining Makes Noise: a Machine Learning Approach for Cryptojacking Detection

74 citations · 245 across the 30 of their papers we have counts for

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cs.CL2026

RAIM: Robust Aggregation of Inexpensive Models for Hallucination Detection

Elia Onofri, Roberto Di Pietro

Automatic evaluation of faithfulness increasingly relies on a large language model acting as a judge, yet the most reliable judges are proprietary frontier models, costly and ill-s…

cs.CL2026

FinMoji: A Framework for Emoji-driven Sentiment Analysis in Financial Social Media

Ahmed Mahrous, Roberto Di Pietro

This paper explores the use of emojis in financial sentiment analysis, focusing on the social media platform StockTwits. Emojis, increasingly prevalent in digital communication, ha…

cs.CL2026

PumpSense: Real-Time Detection and Target Extraction of Crypto Pump-and-Dumps on Telegram

Ahmed Mahrous, Roberto Di Pietro

Cryptocurrency pump-and-dump schemes coordinated via Telegram threaten market integrity. However, existing research addressing this specific threat has not yet produced solutions t…

cs.CL2026

A Geometric Analysis of Small-sized Language Model Hallucinations

Emanuele Ricco, Elia Onofri, Lorenzo Cima +2

Hallucinations -- plausible but factually incorrect responses -- pose a major challenge to the reliability of Large Language Models (LLMs), especially in multi-step or agentic sett…

cs.CL2025

Hallucination Detection: A Probabilistic Framework Using Embeddings Distance Analysis

Emanuele Ricco, Lorenzo Cima, Roberto Di Pietro

Hallucinations are one of the major issues affecting LLMs, hindering their wide adoption in production systems. While current research solutions for detecting hallucinations are ma…