We introduce RealTime QA, a dynamic question answering (QA) platform that announces
questions and evaluates systems on a regular basis (weekly in this version). RealTime QA …

Recent breakthroughs in large language models (LLMs) have centered around a handful of
data-rich languages. What does it take to broaden access to breakthroughs beyond first …

Trustworthy answer content is abundant in many high-resource languages and is instantly
accessible through question answering systems, yet this content can be hard to access for …

In today's digital age, accessing information across language barriers poses a significant
challenge, with conventional search systems often struggling to interpret and retrieve …

Retrieval-augmented generation (RAG) has recently emerged as a promising solution for
incorporating up-to-date or domain-specific knowledge into large language models (LLMs) …

The ability to bridge Question Generation (QG) and Question Answering (QA) across
structured and unstructured modalities has the potential for aiding different NLP …

In the contemporary digital landscape, search engines play an invaluable role in information
access, yet they often face challenges in Cross-Lingual Information Retrieval (CLIR) …

In this paper, we analyze the capabilities of the multi-lingual Dense Passage Retriever
(mDPR) for extremely low-resource languages. In the Cross-lingual Open-Retrieval Answer …

I advocate for efficient, customizable, and communal approaches to natural language
processing (NLP) and artificial intelligence (AI), where people with diverse skill levels and …