Cover Image

Large Language Models and Multimodal Retrieval for Visual Word Sense Disambiguation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kritharoula, Anastasia, Lymperaiou, Maria, Stamou, Giorgos
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Language Models as Knowledge Bases for Visual Word Sense Disambiguation
by: Kritharoula, Anastasia, et al.
Published: (2023)

ARPA: A Novel Hybrid Model for Advancing Visual Word Disambiguation Using Large Language Models and Transformers
by: Papastavrou, Aristi, et al.
Published: (2024)

Conceptual Contrastive Edits in Textual and Vision-Language Retrieval
by: Lymperaiou, Maria, et al.
Published: (2025)

Puzzle Solving using Reasoning of Large Language Models: A Survey
by: Giadikiaroglou, Panagiotis, et al.
Published: (2024)

Knowledge-Based Counterfactual Queries for Visual Question Answering
by: Stoikou, Theodoti, et al.
Published: (2023)

Evaluating Counterfactual Strategic Reasoning in Large Language Models
by: Georgousis, Dimitrios, et al.
Published: (2026)

Pitfalls of Scale: Investigating the Inverse Task of Redefinition in Large Language Models
by: Stringli, Elena, et al.
Published: (2025)

The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
by: Lymperaiou, Maria, et al.
Published: (2023)

RISCORE: Enhancing In-Context Riddle Solving in Language Models through Context-Reconstructed Example Augmentation
by: Panagiotopoulos, Ioannis, et al.
Published: (2024)

Enhancing adversarial robustness in Natural Language Inference using explanations
by: Koulakos, Alexandros, et al.
Published: (2024)

AILS-NTUA at SemEval-2026 Task 12: Graph-Based Retrieval and Reflective Prompting for Abductive Event Reasoning
by: Karafyllis, Nikolas, et al.
Published: (2026)

AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles
by: Panagiotopoulos, Ioannis, et al.
Published: (2024)

PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements
by: Raptopoulos, Petros, et al.
Published: (2025)

AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysis
by: Grigoriadou, Natalia, et al.
Published: (2024)

Optimal and efficient text counterfactuals using Graph Neural Networks
by: Lymperopoulos, Dimitris, et al.
Published: (2024)

AILS-NTUA at SemEval-2025 Task 3: Leveraging Large Language Models and Translation Strategies for Multilingual Hallucination Detection
by: Karkani, Dimitra, et al.
Published: (2025)

BERTtime Stories: Investigating the Role of Synthetic Story Data in Language Pre-training
by: Theodoropoulos, Nikitas, et al.
Published: (2024)

AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question Answering
by: Evangelatos, Andreas, et al.
Published: (2025)

AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking
by: Premptis, Iraklis, et al.
Published: (2025)

Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations
by: Filandrianos, Giorgos, et al.
Published: (2025)

AILS-NTUA at SemEval-2026 Task 8: Evaluating Multi-Turn RAG Conversations
by: Athanasiou, Dimosthenis, et al.
Published: (2026)

SemEval-2026 Task 6: CLARITY -- Unmasking Political Question Evasions
by: Thomas, Konstantinos, et al.
Published: (2026)

"I Never Said That": A dataset, taxonomy and baselines on response clarity classification
by: Thomas, Konstantinos, et al.
Published: (2024)

AILS-NTUA at SemEval-2026 Task 10: Agentic LLMs for Psycholinguistic Marker Extraction and Conspiracy Endorsement Detection
by: Spanakis, Panagiotis Alexios, et al.
Published: (2026)

AILS-NTUA at SemEval-2026 Task 3: Efficient Dimensional Aspect-Based Sentiment Analysis
by: Gazetas, Stavros, et al.
Published: (2026)

SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
by: Chaidos, Nikolaos, et al.
Published: (2025)

Exploring the Word Sense Disambiguation Capabilities of Large Language Models
by: Basile, Pierpaolo, et al.
Published: (2025)

Fine-Grained ImageNet Classification in the Wild
by: Lymperaiou, Maria, et al.
Published: (2023)

A survey on knowledge-enhanced multimodal learning
by: Lymperaiou, Maria, et al.
Published: (2022)

Indexing Multimodal Language Models for Large-scale Image Retrieval
by: Tharwat, Bahey, et al.
Published: (2026)

Integrating Symbolic Natural Language Understanding and Language Models for Word Sense Disambiguation
by: Zhao, Kexin, et al.
Published: (2025)

Counterfactual Edits for Generative Evaluation
by: Lymperaiou, Maria, et al.
Published: (2023)

Masked Generative Story Transformer with Character Guidance and Caption Augmentation
by: Papadimitriou, Christos, et al.
Published: (2024)

Solving Word-Sense Disambiguation and Word-Sense Induction with Dictionary Examples
by: Škvorc, Tadej, et al.
Published: (2025)

How Well Do Large Language Models Disambiguate Swedish Words?
by: Johansson, Richard
Published: (2024)

Can LLMs assist with Ambiguity? A Quantitative Evaluation of various Large Language Models on Word Sense Disambiguation
by: Sumanathilaka, T. G. D. K., et al.
Published: (2024)

Quantum Visual Word Sense Disambiguation: Unraveling Ambiguities Through Quantum Inference Model
by: Qiao, Wenbo, et al.
Published: (2025)

An Exploration-Analysis-Disambiguation Reasoning Framework for Word Sense Disambiguation with Low-Parameter LLMs
by: Sumanathilaka, Deshan, et al.
Published: (2026)

A Comparative Study of Transformers on Word Sense Disambiguation
by: Chawla, Avi, et al.
Published: (2021)

Word Sense Linking: Disambiguating Outside the Sandbox
by: Bejgu, Andrei Stefan, et al.
Published: (2024)