Towards Faithful and Robust LLM Specialists for Evidence-Based
Question-Answering

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering

13 February 2024

Tobias Schimanski

Mathias Kraus

Markus Leippold

Papers citing "Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering"

4 / 4 papers shown

Title
FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning Nicole Cho Nishan Srishankar Lucas Cecchi William Watson AIFin 34 1 0 25 Oct 2024
How Susceptible are LLMs to Influence in Prompts? Sotiris Anagnostidis Jannis Bulian LRM 38 16 0 17 Aug 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Akari Asai Zeqiu Wu Yizhong Wang Avirup Sil Hannaneh Hajishirzi RALM 165 631 0 17 Oct 2023
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 11,953 0 04 Mar 2022