← all papers · overview

KIWI: A Dataset Of Knowledge-intensive Writing Instructions For Answering Research Questions

Abstract

Large language models (LLMs) adapted to follow user instructions are now widely deployed as conversational agents. In this work, we examine one increasingly common instruction-following task: providing writing assistance to compose a long-form answer. To evaluate the capabilities of current LLMs on this task, we construct KIWI, a dataset of knowledge-intensive writing instructions in the scientifi

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).