Using large language models (LMs) for query or document expansion can im...
To foster the development of new models for collaborative AI-assisted re...
Large Language Models (LLMs) may hallucinate and generate fake informati...
Negation is a common everyday phenomena and has been a consistent area o...
A key stumbling block for neural cross-language information retrieval (C...
Answering complex questions often requires multi-step reasoning in order...
Recent work in open-domain question answering (ODQA) has shown that
adve...
Since the advent of Federated Learning (FL), research has applied these
...
Transfer learning (TL) in natural language processing (NLP) has seen a s...
Code switching (CS) refers to the phenomenon of interchangeably using wo...
Text classification is a significant branch of natural language processi...
Using end-to-end models for speech translation (ST) has increasingly bee...
Typically, machine learning systems solve new tasks by training on thous...
Much previous work has been done in attempting to identify humor in text...