Cover Image

Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dukić, David, Šnajder, Jan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Supervised In-Context Fine-Tuning for Generative Sequence Labeling
by: Dukić, David, et al.
Published: (2025)

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

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

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

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

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

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

Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
by: Kim, Jeonghye, et al.
Published: (2026)

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

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

Right vs. Right: Can LLMs Make Tough Choices?
by: Yuan, Jiaqing, et al.
Published: (2024)

LLMs as Assessors: Right for the Right Reason?
by: Saha, Sourav, et al.
Published: (2026)

Context Parametrization with Compositional Adapters
by: Jukić, Josip, et al.
Published: (2025)

Batch Speculative Decoding Done Right
by: Zhang, Ranran Haoran, et al.
Published: (2025)

Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation
by: Qu, Zhi, et al.
Published: (2024)

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

The Realignment Problem: When Right becomes Wrong in LLMs
by: Sharma, Aakash Sen, et al.
Published: (2025)

The "Right" Discourse on Migration: Analysing Migration-Related Tweets in Right and Far-Right Political Movements
by: Chatterjee, Nishan, et al.
Published: (2025)

"Yeah Right!" -- Do LLMs Exhibit Multimodal Feature Transfer?
by: Reichman, Benjamin, et al.
Published: (2025)

The Right Model for the Job: An Evaluation of Legal Multi-Label Classification Baselines
by: Forster, Martina, et al.
Published: (2024)

Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math Reasoning
by: Guo, Jiaxing, et al.
Published: (2025)

Sustainability via LLM Right-sizing
by: Haase, Jennifer, et al.
Published: (2025)

Beneath the Surface: Investigating LLMs' Capabilities for Communicating with Subtext
by: Ahuja, Kabir, et al.
Published: (2026)

Investigating Decoder-only Large Language Models for Speech-to-text Translation
by: Huang, Chao-Wei, et al.
Published: (2024)

Empathy and the Right to Be an Exception: What LLMs Can and Cannot Do
by: Kidder, William, et al.
Published: (2024)

Look It Up: Analysing Internal Web Search Capabilities of Modern LLMs
by: Kale, Sahil
Published: (2025)

Decoder-only Streaming Transformer for Simultaneous Translation
by: Guo, Shoutao, et al.
Published: (2024)

Lost in Space: Finding the Right Tokens for Structured Output
by: Hamilton, Sil, et al.
Published: (2025)

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition
by: Ye, Guanghao, et al.
Published: (2025)

Do the Right Thing, Just Debias! Multi-Category Bias Mitigation Using LLMs
by: Roy, Amartya, et al.
Published: (2024)

Do LLMs Signal When They're Right? Evidence from Neuron Agreement
by: Chen, Kang, et al.
Published: (2025)

Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
by: Beurer-Kellner, Luca, et al.
Published: (2024)

KV-Embedding: Training-free Text Embedding via Internal KV Re-routing in Decoder-only LLMs
by: Tang, Yixuan, et al.
Published: (2026)

Adding Multimodal Capabilities to a Text-only Translation Model
by: Vijayan, Vipin, et al.
Published: (2024)

Advancing Cross-lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Models
by: Šmíd, Jakub, et al.
Published: (2025)

Are Chatbots Reliable Text Annotators? Sometimes
by: Kristensen-McLachlan, Ross Deans, et al.
Published: (2023)

Dependency Graph Parsing as Sequence Labeling
by: Ezquerro, Ana, et al.
Published: (2024)

Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
by: Jelenić, Fran, et al.
Published: (2023)

Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?
by: Öncel, Fırat, et al.
Published: (2024)