22 citations · 22 across the 4 of their papers we have counts for
5 papers
Multi-author style detection with stylistic embeddings
Man-Ling Sung, Chak Fai Li, Damianos Karakos +2
We investigate the use of Large Language Models (LLMs) in multi-author style change detection. Using off-the-shelf LLMs or supervised fine-tuning solely within the target domain fa…
Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results
Jonathan Liu, Haoling Qiu, Jonathan Lasko +3
Recent research has shown that hallucinations, omissions, and biases are prevalent in everyday use-cases of LLMs. However, chatbots used in medical contexts must provide consistent…
QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval
Hemanth Kandula, Damianos Karakos, Haoling Qiu +4
Frequently, users of an Information Retrieval (IR) system start with an overarching information need (a.k.a., an analytic task) and proceed to define finer-grained queries covering…
Cross-lingual Information Retrieval with BERT
Zhuolin Jiang, Amro El-Jaroudi, William Hartmann +2
Multiple neural language models have been developed recently, e.g., BERT and XLNet, and achieved impressive results in various NLP tasks including sentence classification, question…
Estimating Confusions in the ASR Channel for Improved Topic-based Language Model Adaptation
Damianos Karakos, Mark Dredze, Sanjeev Khudanpur
Human language is a combination of elemental languages/domains/styles that change across and sometimes within discourses. Language models, which play a crucial role in speech recog…