Guardado en:
| Autores principales: | Pedrotti, Andrea, Rambelli, Giulia, Villani, Caterina, Bolognesi, Marianna |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2505.21301 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Word Ladders: A Mobile Application for Semantic Data Collection
por: Bolognesi, Marianna Marcella, et al.
Publicado: (2024)
por: Bolognesi, Marianna Marcella, et al.
Publicado: (2024)
Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark
por: Mercorio, Fabio, et al.
Publicado: (2024)
por: Mercorio, Fabio, et al.
Publicado: (2024)
Unveiling LLMs' Metaphorical Understanding: Exploring Conceptual Irrelevance, Context Leveraging and Syntactic Influence
por: Ye, Fengying, et al.
Publicado: (2025)
por: Ye, Fengying, et al.
Publicado: (2025)
Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs
por: Sassella, Andrea, et al.
Publicado: (2026)
por: Sassella, Andrea, et al.
Publicado: (2026)
Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors
por: Pedrotti, Andrea, et al.
Publicado: (2025)
por: Pedrotti, Andrea, et al.
Publicado: (2025)
Are LLMs Truly Multilingual? Exploring Zero-Shot Multilingual Capability of LLMs for Information Retrieval: An Italian Healthcare Use Case
por: Kembu, Vignesh Kumar, et al.
Publicado: (2025)
por: Kembu, Vignesh Kumar, et al.
Publicado: (2025)
Harnessing LLMs for Educational Content-Driven Italian Crossword Generation
por: Zeinalipour, Kamyar, et al.
Publicado: (2024)
por: Zeinalipour, Kamyar, et al.
Publicado: (2024)
How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments
por: Ide, Yusuke, et al.
Publicado: (2024)
por: Ide, Yusuke, et al.
Publicado: (2024)
Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization
por: He, Mutian, et al.
Publicado: (2022)
por: He, Mutian, et al.
Publicado: (2022)
Physical Computing: A Category Theoretic Perspective on Physical Computation and System Compositionality
por: Dehghani, Nima, et al.
Publicado: (2022)
por: Dehghani, Nima, et al.
Publicado: (2022)
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
por: Muti, Arianna, et al.
Publicado: (2024)
por: Muti, Arianna, et al.
Publicado: (2024)
Annotating Constructions with UD: the experience of the Italian Constructicon
por: Pannitto, Ludovica, et al.
Publicado: (2024)
por: Pannitto, Ludovica, et al.
Publicado: (2024)
Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
por: Feng, Yiyang, et al.
Publicado: (2026)
por: Feng, Yiyang, et al.
Publicado: (2026)
How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs
por: Zhang, Ran, et al.
Publicado: (2024)
por: Zhang, Ran, et al.
Publicado: (2024)
How Reliable are LLMs as Knowledge Bases? Re-thinking Facutality and Consistency
por: Zheng, Danna, et al.
Publicado: (2024)
por: Zheng, Danna, et al.
Publicado: (2024)
Beneath the Surface of Consistency: Exploring Cross-lingual Knowledge Representation Sharing in LLMs
por: Ifergan, Maxim, et al.
Publicado: (2024)
por: Ifergan, Maxim, et al.
Publicado: (2024)
Implicit Values Embedded in How Humans and LLMs Complete Subjective Everyday Tasks
por: Arunasalam, Arjun, et al.
Publicado: (2025)
por: Arunasalam, Arjun, et al.
Publicado: (2025)
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
por: Zeng, Yi, et al.
Publicado: (2024)
por: Zeng, Yi, et al.
Publicado: (2024)
Food Noise & False Safety: A Systematic Evaluation of How LLMs Fail to Adapt to Eating Disorder Queries with Clinician Feedback
por: Pucci, Giulia, et al.
Publicado: (2026)
por: Pucci, Giulia, et al.
Publicado: (2026)
The Grounding Gap: How LLMs Anchor the Meaning of Abstract Concepts Differently from Humans
por: Chlapanis, Odysseas S., et al.
Publicado: (2026)
por: Chlapanis, Odysseas S., et al.
Publicado: (2026)
Protoknowledge Shapes Behaviour of LLMs in Downstream Tasks: Memorization and Generalization with Knowledge Graphs
por: Ranaldi, Federico, et al.
Publicado: (2025)
por: Ranaldi, Federico, et al.
Publicado: (2025)
Should LLMs be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models
por: Zhou, Ke, et al.
Publicado: (2025)
por: Zhou, Ke, et al.
Publicado: (2025)
Span-level Emotion-Cause-Category Triplet Extraction with Instruction Tuning LLMs and Data Augmentation
por: Li, Xiangju, et al.
Publicado: (2025)
por: Li, Xiangju, et al.
Publicado: (2025)
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs
por: Chen, Yingjian, et al.
Publicado: (2025)
por: Chen, Yingjian, et al.
Publicado: (2025)
TouchAI: Exploring human-AI perceptual alignment in touch through language model representations
por: Zhong, Shu, et al.
Publicado: (2024)
por: Zhong, Shu, et al.
Publicado: (2024)
How Likely Do LLMs with CoT Mimic Human Reasoning?
por: Bao, Guangsheng, et al.
Publicado: (2024)
por: Bao, Guangsheng, et al.
Publicado: (2024)
Framework for Progressive Knowledge Fusion in Large Language Models Through Structured Conceptual Redundancy Analysis
por: Sakau, Joseph, et al.
Publicado: (2025)
por: Sakau, Joseph, et al.
Publicado: (2025)
Learning the Topic, Not the Language: How LLMs Classify Online Immigration Discourse Across Languages
por: Nasuto, Andrea, et al.
Publicado: (2025)
por: Nasuto, Andrea, et al.
Publicado: (2025)
Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph
por: Bronzini, Marco, et al.
Publicado: (2024)
por: Bronzini, Marco, et al.
Publicado: (2024)
What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context for Multi-Hop QA
por: Chang, Zhiyuan, et al.
Publicado: (2024)
por: Chang, Zhiyuan, et al.
Publicado: (2024)
How LLMs Might Think
por: Gottlieb, Joseph, et al.
Publicado: (2026)
por: Gottlieb, Joseph, et al.
Publicado: (2026)
From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
por: Shani, Chen, et al.
Publicado: (2025)
por: Shani, Chen, et al.
Publicado: (2025)
Memorization and Knowledge Injection in Gated LLMs
por: Pan, Xu, et al.
Publicado: (2025)
por: Pan, Xu, et al.
Publicado: (2025)
Exploring the Latest LLMs for Leaderboard Extraction
por: Kabongo, Salomon, et al.
Publicado: (2024)
por: Kabongo, Salomon, et al.
Publicado: (2024)
How Do LLMs Use Their Depth?
por: Gupta, Akshat, et al.
Publicado: (2025)
por: Gupta, Akshat, et al.
Publicado: (2025)
DIETA: A Decoder-only transformer-based model for Italian-English machine TrAnslation
por: Kasela, Pranav, et al.
Publicado: (2026)
por: Kasela, Pranav, et al.
Publicado: (2026)
Simulating Identity, Propagating Bias: Abstraction and Stereotypes in LLM-Generated Text
por: Sommerauer, Pia, et al.
Publicado: (2025)
por: Sommerauer, Pia, et al.
Publicado: (2025)
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
por: Amayuelas, Alfonso, et al.
Publicado: (2023)
por: Amayuelas, Alfonso, et al.
Publicado: (2023)
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
por: Wang, Jianing, et al.
Publicado: (2023)
por: Wang, Jianing, et al.
Publicado: (2023)
Ontology for Policing: Conceptual Knowledge Learning for Semantic Understanding and Reasoning in Law Enforcement Reports
por: Srbinovska, Anita, et al.
Publicado: (2026)
por: Srbinovska, Anita, et al.
Publicado: (2026)
Ejemplares similares
-
Word Ladders: A Mobile Application for Semantic Data Collection
por: Bolognesi, Marianna Marcella, et al.
Publicado: (2024) -
Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark
por: Mercorio, Fabio, et al.
Publicado: (2024) -
Unveiling LLMs' Metaphorical Understanding: Exploring Conceptual Irrelevance, Context Leveraging and Syntactic Influence
por: Ye, Fengying, et al.
Publicado: (2025) -
Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs
por: Sassella, Andrea, et al.
Publicado: (2026) -
Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors
por: Pedrotti, Andrea, et al.
Publicado: (2025)