16 citations · 19 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
WebIE: Faithful and Robust Information Extraction on the Web
Chenxi Whitehouse, Clara Vania, Alham Fikri Aji +2
Extracting structured and grounded fact triples from raw text is a fundamental task in Information Extraction (IE). Existing IE datasets are typically collected from Wikipedia arti…
DARE: Data Augmented Relation Extraction with GPT-2
Yannis Papanikolaou, Andrea Pierleoni
Real-world Relation Extraction (RE) tasks are challenging to deal with, either due to limited training data or class imbalance issues. In this work, we present Data Augmented Relat…