Copertina

Domain Embeddings for Generating Complex Descriptions of Concepts in Italian Language

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Maisto, Alessandro
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Collaborative Storytelling and LLM: A Linguistic Analysis of Automatically-Generated Role-Playing Game Sessions
di: Maisto, Alessandro
Pubblicazione: (2025)

Towards a Linguistic Evaluation of Narratives: A Quantitative Stylistic Framework
di: Maisto, Alessandro
Pubblicazione: (2026)

BAMBI: Developing Baby Language Models for Italian
di: Suozzi, Alice, et al.
Pubblicazione: (2025)

CoLLEGe: Concept Embedding Generation for Large Language Models
di: Teehan, Ryan, et al.
Pubblicazione: (2024)

Ontology Completion with Natural Language Inference and Concept Embeddings: An Analysis
di: Li, Na, et al.
Pubblicazione: (2024)

IT5: Text-to-text Pretraining for Italian Language Understanding and Generation
di: Sarti, Gabriele, et al.
Pubblicazione: (2022)

Transfer Learning with Clinical Concept Embeddings from Large Language Models
di: Gao, Yuhe, et al.
Pubblicazione: (2024)

From Speech to Subtitles: Evaluating ASR Models in Subtitling Italian Television Programs
di: Lucca, Alessandro, et al.
Pubblicazione: (2025)

MedBench-IT: A Comprehensive Benchmark for Evaluating Large Language Models on Italian Medical Entrance Examinations
di: Lazzaroni, Ruggero Marino, et al.
Pubblicazione: (2025)

Latent Structure Modulation in Large Language Models Through Stochastic Concept Embedding Transitions
di: Whitaker, Stefan, et al.
Pubblicazione: (2025)

The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI
di: Schirmer, Miriam, et al.
Pubblicazione: (2024)

Interpreting Language Models Through Concept Descriptions: A Survey
di: Feldhus, Nils, et al.
Pubblicazione: (2025)

Finding Meaning in Embeddings: Concept Separation Curves
di: Keuren, Paul, et al.
Pubblicazione: (2026)

RoIt-XMASA: Multi-Domain Multilingual Sentiment Analysis Dataset for Romanian and Italian
di: Avram, Andrei-Marius, et al.
Pubblicazione: (2026)

Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions
di: Suh, Jiwon, et al.
Pubblicazione: (2024)

Prompting Encoder Models for Zero-Shot Classification: A Cross-Domain Study in Italian
di: Auriemma, Serena, et al.
Pubblicazione: (2024)

Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation
di: Nie, Chaojun, et al.
Pubblicazione: (2025)

Complex Ontology Matching with Large Language Model Embeddings
di: Sousa, Guilherme, et al.
Pubblicazione: (2025)

Partial Colexifications Improve Concept Embeddings
di: Rubehn, Arne, et al.
Pubblicazione: (2025)

Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data
di: Dohi, Kota, et al.
Pubblicazione: (2024)

Evalita-LLM: Benchmarking Large Language Models on Italian
di: Magnini, Bernardo, et al.
Pubblicazione: (2025)

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
di: Jiang, Hang, et al.
Pubblicazione: (2024)

Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence Generation
di: Chen, Zihao, et al.
Pubblicazione: (2025)

Large Language Model for Patent Concept Generation
di: Ren, Runtao, et al.
Pubblicazione: (2024)

Language Proficiency and F0 Entrainment: A Study of L2 English Imitation in Italian, French, and Slovak Speakers
di: Yuan, Zheng, et al.
Pubblicazione: (2024)

Towards Domain Specification of Embedding Models in Medicine
di: Khodadad, Mohammad, et al.
Pubblicazione: (2025)

The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure
di: Fan, Yu, et al.
Pubblicazione: (2025)

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions
di: Sastre, Ignacio, et al.
Pubblicazione: (2026)

Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts
di: Asthana, Sumit, et al.
Pubblicazione: (2024)

SLIMER-IT: Zero-Shot NER on Italian Language
di: Zamai, Andrew, et al.
Pubblicazione: (2024)

Context-Adaptive Synthesis and Compression for Enhanced Retrieval-Augmented Generation in Complex Domains
di: Zhou, Peiran, et al.
Pubblicazione: (2025)

If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
di: Esfandiarpoor, Reza, et al.
Pubblicazione: (2024)

DIETA: A Decoder-only transformer-based model for Italian-English machine TrAnslation
di: Kasela, Pranav, et al.
Pubblicazione: (2026)

CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts
di: Nikandrou, Malvina, et al.
Pubblicazione: (2024)

Unipa-GPT: Large Language Models for university-oriented QA in Italian
di: Siragusa, Irene, et al.
Pubblicazione: (2024)

Challenging the Abilities of Large Language Models in Italian: a Community Initiative
di: Nissim, Malvina, et al.
Pubblicazione: (2025)

Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models
di: Zhang, Bowen, et al.
Pubblicazione: (2024)

Time Series Language Model for Descriptive Caption Generation
di: Trabelsi, Mohamed, et al.
Pubblicazione: (2025)

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
di: Tang, Yixuan, et al.
Pubblicazione: (2025)

Estimating Text Similarity based on Semantic Concept Embeddings
di: der Brück, Tim vor, et al.
Pubblicazione: (2024)