mlsanityData to 14 Oct 2026

GLiREL -- Generalist Model for Zero-Shot Relation Extraction

arXiv 2501.03172 ↗First posted 6 Jan 2025cs.CL cs.AI cs.LGcited by 12

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Abstract (arXiv)

We introduce GLiREL (Generalist Lightweight model for zero-shot Relation Extraction), an efficient architecture and training paradigm for zero-shot relation classification. Inspired by recent advancements in zero-shot named entity recognition, this work presents an approach to efficiently and accurately predict zero-shot relationship labels between multiple entities in a single forward pass. Experiments using the FewRel and WikiZSL benchmarks demonstrate that our approach achieves state-of-the-art results on the zero-shot relation classification task. In addition, we contribute a protocol for synthetically-generating datasets with diverse relation labels.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 24 of its 52 references that are in the map. First posted on arXiv 6 Jan 2025.

Builds on

24 of 52 references.

References · 24

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  2. 2021DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharingcited by 1,254
  3. 2024The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scalecited by 1,160
  4. 2017Zero-Shot Relation Extraction via Reading Comprehensioncited by 426
  5. 2018FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluationcited by 254
  6. 2019Span-based Joint Entity and Relation Extraction with Transformer Pre-trainingcited by 133
  7. 2023Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!cited by 119
  8. 2023GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extractioncited by 119
  9. 2019FewRel 2.0: Towards More Challenging Few-Shot Relation Classificationcited by 94
  10. 2020Coreferential Reasoning Learning for Language Representationcited by 80
  11. 2021Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extractioncited by 73
  12. 2015Reasoning about Entailment with Neural Attentioncited by 69
12 more
  1. 2022Revisiting DocRED -- Addressing the False Negative Problem in Relation Extractioncited by 57
  2. 2021ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learningcited by 46
  3. 2024NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Datacited by 34
  4. 2023How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?cited by 30
  5. 2021Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemescited by 27
  6. 2016Lifted Rule Injection for Relation Embeddingscited by 22
  7. 2024Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extractioncited by 14
  8. 2023RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extractioncited by 13
  9. 2024Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractorscited by 13
  10. 2021Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentationcited by 8
  11. 2024GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Taskscited by 8
  12. 2016Comparing Convolutional Neural Networks to Traditional Models for Slot Fillingcited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 4; 2026: 8.

12 papers.

  1. 2025GLiClass: Generalist Lightweight Model for Sequence Classification Taskscited by 15
  2. 2025GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interfacecited by 9
  3. 2025GLiDRE: Generalist Lightweight model for Document-level Relation Extractioncited by 3
  4. 2026CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Textscited by 2
  5. 2026Overview of HIPE-2026: Person-Place Relation Extraction from Multilingual Historical Textscited by 2
  6. 2026LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extractioncited by 1
  7. 2026GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extractioncited by 1
  8. 2025A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Miningcited by 0
  9. 2026A Study on Building Efficient Zero-Shot Relation Extraction Modelscited by 0
  10. 2026SAGE: A Unified Algebra and Self-Adaptive Execution for AI Functions in SQLcited by 0
  11. 2026HANIA: Planner-Guided Multimodal Graph Evidence Selection for Grounded Question Answeringcited by 0
  12. 2026Calibrated Typed Decisions for Entity, Relation, and Event Extractioncited by 0