most citedReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking

6 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2024

HalluCana: Fixing LLM Hallucination with A Canary Lookahead

Tianyi Li, Erenay Dayanik, Shubhi Tyagi +1

In this paper, we present HalluCana, a canary lookahead to detect and correct factuality hallucinations of Large Language Models (LLMs) in long-form generation. HalluCana detects a…

cs.CL2024

REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking

Nacime Bouziani, Shubhi Tyagi, Joseph Fisher +2

Extracting structured information from unstructured text is critical for many downstream NLP applications and is traditionally achieved by closed information extraction (cIE). Howe…

cs.CL2022★ 6 cited

ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking

Tom Ayoola, Shubhi Tyagi, Joseph Fisher +2

We introduce ReFinED, an efficient end-to-end entity linking model which uses fine-grained entity types and entity descriptions to perform linking. The model performs mention detec…