Recent Developments on Accountability and Explainability for Complex Reasoning Tasks

P Atanasova - Accountable and Explainable Methods for Complex …, 2024 - Springer
This chapter delves into the recent accountability tools tailored for the evolving landscape of
machine learning models for complex reasoning tasks. With the increasing integration of …

What Evidence Do Language Models Find Convincing?

A Wan, E Wallace, D Klein - arXiv preprint arXiv:2402.11782, 2024 - arxiv.org
Retrieval-augmented language models are being increasingly tasked with subjective,
contentious, and conflicting queries such as" is aspartame linked to cancer". To resolve …

Attacking open-domain question answering by injecting misinformation

L Pan, W Chen, MY Kan, WY Wang - arXiv preprint arXiv:2110.07803, 2021 - arxiv.org
With a rise in false, inaccurate, and misleading information in propaganda, news, and social
media, real-world Question Answering (QA) systems face the challenges of synthesizing and …

Evaluating Large Language Model based Personal Information Extraction and Countermeasures

Y Liu, Y Jia, J Jia, NZ Gong - arXiv preprint arXiv:2408.07291, 2024 - arxiv.org
Automatically extracting personal information--such as name, phone number, and email
address--from publicly available profiles at a large scale is a stepstone to many other …

A Testbed for Operations in the Information Environment

A Tse, S Vattam, V Ercolani, D Stetson… - Proceedings of the 17th …, 2024 - dl.acm.org
Operations in the Information Environment (OIE) is a rapidly evolving field in US government
defense. Historically, the use of testbeds and assessments contributed to the maturation of …

[图书][B] Accountable and Explainable Methods for Complex Reasoning over Text

P Atanasova - 2024 - Springer
A major concern with machine learning (ML) models is their opacity. They are deployed in
an increasing number of applications where they often operate as black boxes that do not …