Work

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models

Year: 2023

Type: conference-paper

Abstract: Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schoelkopf, Mrinmaya Sachan. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2023.acl-long.32

Authors: Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schoelkopf, Mrinmaya Sachan

Institution: ETH Zurich

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: John Templeton Foundation, Open Philanthropy Project, Future of Life Institute, Bundesministerium für Bildung und Forschung

Awards: Verbundprojekt TUEAI: Tübingen AI Center, Tracking and Understanding the Effects of Transformative Events in People’s Lives, G4980694453

OpenAlex ID: W4385565015

FWCI: 2.869

Cites: 52

Cited by: 17

Related to: 10