Guido Zuccon
11 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
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Keywords
dense retrieval
(2)
information retrieval
(2)
large language model
(2)
prompt engineering
(2)
zero-shot learning
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active learning
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entity alignment
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knowledge graph
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question answering
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document retrieval
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embedding learning
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topological data analysis
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passage retrieval
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graph embedding
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document understanding
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sparse representation
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persistent homology
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document analysis
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uncertainty sampling
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document ranking
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Papers
AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation
EACL 2026
VISA: Retrieval Augmented Generation with Visual Source Attribution
ACL 2025
CoLAL: Co-learning Active Learning for Text Classification
AAAI 2024
Source-Free Domain-Invariant Performance Prediction
ECCV 2024
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
EMNLP 2024
Dr ChatGPT tell me what I want to hear: How different prompts impact health answer correctness
EMNLP 2023
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
EMNLP 2023
Convolutional Persistence as a Remedy to Neural Model Analysis
AISTATS 2023
Guiding Neural Entity Alignment with Compatibility
EMNLP 2022
ActiveEA: Active Learning for Neural Entity Alignment
EMNLP 2021
Dealing with Typos for BERT-based Passage Retrieval and Ranking
EMNLP 2021