Demonstrate-Search-Predict: Composing retrieval and language models for
knowledge-intensive NLP

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

28 December 2022

Keshav Santhanam

Xiang Lisa Li

David Leo Wright Hall

Christopher Potts

Matei A. Zaharia

Papers citing "Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP"

6 / 56 papers shown

Title
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 313 11,915 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 358 8,495 0 28 Jan 2022
SCAI-QReCC Shared Task on Conversational Question Answering S. Vakulenko Johannes Kiesel Maik Frobe LRM 14 6 0 26 Jan 2022
Hindsight: Posterior-guided training of retrievers for improved open-ended generation Ashwin Paranjape Omar Khattab Christopher Potts Matei A. Zaharia Christopher D. Manning RALM 72 43 0 14 Oct 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 250 673 0 06 Jan 2021