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An Empirical Study of Recent Large Language Models for Knowledge Graph to Text Generation on Standard Benchmarks
Priyanka, Renaud Delbru, Souhail Bakkali +2
Knowledge graph-to-text (KG-to-text) generation verbalizes a set of knowledge graph triples into fluent natural language. While fine-tuned encoder-decoder models have long been the…
Beyond Single-Negative Preference: Multi-Negative DPO for LLM-Centric Historical Entity Linking
Tien Nam Nguyen, Emanuela Boros, Ahmed Hamdi +3
Large language models (LLMs) have recently shown promise for historical entity linking, but preference optimization for this task is often formulated with only one negative candida…
Neurosymbolic Information Extraction from Transactional Documents
Arthur Hemmer, Mickaël Coustaty, Nicola Bartolo +1
This paper presents a neurosymbolic framework for information extraction from documents, evaluated on transactional documents. We introduce a schema-based approach that integrates…
Lazy-k: Decoding for Constrained Token Classification
Arthur Hemmer, Mickaël Coustaty, Nicola Bartolo +2
We explore the possibility of improving probabilistic models in structured prediction. Specifically, we combine the models with constrained decoding approaches in the context of to…