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Found 7 papers, 4 papers with code
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions
To evaluate the capabilities of current LLMs on this task, we construct KIWI, a dataset of knowledge-intensive writing instructions in the scientific domain.
Understanding Retrieval Augmentation for Long-Form Question Answering
Our study provides new insights on how retrieval augmentation impacts long, knowledge-rich text generation of LMs.
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation
Retrieving documents and prepending them in-context at inference time improves performance of language model (LMs) on a wide range of tasks.
Concise Answers to Complex Questions: Summarization of Long-form Answers
Long-form question answering systems provide rich information by presenting paragraph-level answers, often containing optional background or auxiliary information.
A Critical Evaluation of Evaluations for Long-form Question Answering
We present a careful analysis of experts' evaluation, which focuses on new aspects such as the comprehensiveness of the answer.
Modeling Exemplification in Long-form Question Answering via Retrieval
We show that not only do state-of-the-art LFQA models struggle to generate relevant examples, but also that standard evaluation metrics such as ROUGE are insufficient to judge exemplification quality.
How Do We Answer Complex Questions: Discourse Structure of Long-form Answers
Long-form answers, consisting of multiple sentences, can provide nuanced and comprehensive answers to a broader set of questions.
