Copertina

Supervised In-Context Fine-Tuning for Generative Sequence Labeling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dukić, David, Glavaš, Goran, Šnajder, Jan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling
di: Dukić, David, et al.
Pubblicazione: (2024)

Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection
di: Dukić, David, et al.
Pubblicazione: (2023)

Sequence Repetition Enhances Token Embeddings and Improves Sequence Labeling with Decoder-only Language Models
di: Kukić, Matija Luka, et al.
Pubblicazione: (2026)

Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity
di: Rep, Ivan, et al.
Pubblicazione: (2024)

Disentangling Latent Shifts of In-Context Learning with Weak Supervision
di: Jukić, Josip, et al.
Pubblicazione: (2024)

Improving Transfer Learning for Sequence Labeling Tasks by Adapting Pre-trained Neural Language Models
di: Dukić, David
Pubblicazione: (2025)

TakeLab Retriever: AI-Driven Search Engine for Articles from Croatian News Outlets
di: Dukić, David, et al.
Pubblicazione: (2024)

SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU
di: Razumovskaia, Evgeniia, et al.
Pubblicazione: (2023)

Context Parametrization with Compositional Adapters
di: Jukić, Josip, et al.
Pubblicazione: (2025)

African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
di: Geigle, Gregor, et al.
Pubblicazione: (2024)

The Devil Is in the Word Alignment Details: On Translation-Based Cross-Lingual Transfer for Token Classification Tasks
di: Ebing, Benedikt, et al.
Pubblicazione: (2025)

To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages
di: Ebing, Benedikt, et al.
Pubblicazione: (2023)

From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
di: Jukić, Josip, et al.
Pubblicazione: (2024)

IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators
di: Paul, Indraneil, et al.
Pubblicazione: (2024)

SpeechTaxi: On Multilingual Semantic Speech Classification
di: Keller, Lennart, et al.
Pubblicazione: (2024)

Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines?
di: Majer, Laura, et al.
Pubblicazione: (2024)

TransAlign: Machine Translation Encoders are Strong Word Aligners, Too
di: Ebing, Benedikt, et al.
Pubblicazione: (2025)

One Script Instead of Hundreds? On Pretraining Romanized Encoder Language Models
di: Ebing, Benedikt, et al.
Pubblicazione: (2026)

Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations
di: Geigle, Gregor, et al.
Pubblicazione: (2023)

Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?
di: Geigle, Gregor, et al.
Pubblicazione: (2024)

ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination Detection
di: Herrlein, Janek, et al.
Pubblicazione: (2024)

Large Language Models are Miscalibrated In-Context Learners
di: Li, Chengzu, et al.
Pubblicazione: (2023)

MVL-SIB: A Massively Multilingual Vision-Language Benchmark for Cross-Modal Topical Matching
di: Schmidt, Fabian David, et al.
Pubblicazione: (2025)

ReCoVeR the Target Language: Language Steering without Sacrificing Task Performance
di: Sterz, Hannah, et al.
Pubblicazione: (2025)

Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages
di: Schmidt, Fabian David, et al.
Pubblicazione: (2024)

Don't Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints
di: Penzo, Nicolò, et al.
Pubblicazione: (2025)

LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma
di: Juroš, Jana, et al.
Pubblicazione: (2024)

Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment
di: Huang, Yongxin, et al.
Pubblicazione: (2024)

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding
di: Schmidt, Fabian David, et al.
Pubblicazione: (2025)

mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
di: Geigle, Gregor, et al.
Pubblicazione: (2023)

Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks
di: Rebmann, Adrian, et al.
Pubblicazione: (2024)

The Curious Case of Factual (Mis)Alignment between LLMs' Short- and Long-Form Answers
di: Islam, Saad Obaid ul, et al.
Pubblicazione: (2025)

How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination
di: Islam, Saad Obaid ul, et al.
Pubblicazione: (2025)

Supervised Fine-Tuning or In-Context Learning? Evaluating LLMs for Clinical NER
di: Baroian, Andrei
Pubblicazione: (2025)

On Generalization across Measurement Systems: LLMs Entail More Test-Time Compute for Underrepresented Cultures
di: Bui, Minh Duc, et al.
Pubblicazione: (2025)

Knowledge Distillation vs. Pretraining from Scratch under a Fixed (Computation) Budget
di: Bui, Minh Duc, et al.
Pubblicazione: (2024)

What Makes You CLIC: Detection of Croatian Clickbait Headlines
di: Anđelić, Marija, et al.
Pubblicazione: (2025)

A Global Context Mechanism for Sequence Labeling
di: Xu, Conglei, et al.
Pubblicazione: (2023)

Anchored Supervised Fine-Tuning
di: Zhu, He, et al.
Pubblicazione: (2025)

Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
di: Gupta, Sonam, et al.
Pubblicazione: (2025)