Kiril Gashteovski
18 papers · 2017–2026 · 4 venues · across top CS/AI venues
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open information extraction
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knowledge graph
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link prediction
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fact extraction
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knowledge graph completion
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semantic parsing
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text generation
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multilingual nlp
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knowledge representation
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adversarial robustness
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question answering
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synthetic data generation
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Papers
Compositional Steering of Large Language Models with Steering Tokens
ACL 2026
TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action
EACL 2026
Evaluating Language Models as Synthetic Data Generators
ACL 2025
MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis
ACL 2025
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions
EMNLP 2025
On Synthesizing Data for Context Attribution in Question Answering
ACL 2025
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents
NAACL 2024
A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion
EACL 2024
Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection
EACL 2024
Robust Text Classification: Analyzing Prototype-Based Networks
EMNLP 2024
Linking Surface Facts to Large-Scale Knowledge Graphs
EMNLP 2023
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark
ACL 2022
BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
ACL 2022
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models
EMNLP 2022
MILIE: Modular & Iterative Multilingual Open Information Extraction
ACL 2022
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction
ACL 2020
On Aligning OpenIE Extractions with Knowledge Bases: A Case Study
EMNLP 2020
MinIE: Minimizing Facts in Open Information Extraction
EMNLP 2017