Papers by Oren Glickman
NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings (2025.findings-emnlp)
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| Challenge: | NER Retriever uses a user-defined type description to retrieve documents mentioning entities of that type. |
| Approach: | They propose a zero-shot retrieval framework for ad-hoc Named Entity Recognition . a user-defined type description is used to retrieve documents mentioning entities of that type . |
| Outcome: | The proposed framework outperforms lexical and dense retrieval baselines on three benchmarks. |
User-Centric Evidence Ranking for Attribution and Fact Verification (2026.eacl-long)
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| Challenge: | Large language models often present users with insufficient or redundant information, leading to inefficient and error-prone verification. |
| Approach: | They propose a task that prioritizes presenting sufficient information as early as possible in a ranked list. |
| Outcome: | The proposed task minimizes user reading effort while making all available evidence accessible for sequential verification. |