Implicit causality in GPT-2: a case study

Implicit causality in GPT-2: a case study

8 December 2022

Emiel van Miltenburg

Papers citing "Implicit causality in GPT-2: a case study"

11 / 11 papers shown

Title
Machine Reading, Fast and Slow: When Do Models "Understand" Language? Sagnik Ray Choudhury Anna Rogers Isabelle Augenstein LRM 50 18 0 15 Sep 2022
GPT-NeoX-20B: An Open-Source Autoregressive Language Model Sid Black Stella Biderman Eric Hallahan Quentin G. Anthony Leo Gao ... Shivanshu Purohit Laria Reynolds J. Tow Benqi Wang Samuel Weinbach 164 829 0 14 Apr 2022
Ethical and social risks of harm from Language Models Laura Weidinger John F. J. Mellor Maribeth Rauh Conor Griffin J. Uesato ... Lisa Anne Hendricks William S. Isaac Sean Legassick G. Irving Iason Gabriel PILM 108 1,034 0 08 Dec 2021
Underreporting of errors in NLG output, and what to do about it Emiel van Miltenburg Miruna Clinciu Ondrej Dusek Dimitra Gkatzia Stephanie Inglis ... Saad Mahamood Emma Manning S. Schoch Craig Thomson Luou Wen 49 38 0 02 Aug 2021
Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning Forrest Davis Marten van Schijndel AI4CE 43 7 0 02 Jun 2021
A Theoretical Analysis of the Repetition Problem in Text Generation Z. Fu Wai Lam Anthony Man-Cho So Bei Shi 111 93 0 29 Dec 2020
Discourse structure interacts with reference but not syntax in neural language models Forrest Davis Marten van Schijndel 42 20 0 10 Oct 2020
Trading Off Diversity and Quality in Natural Language Generation Hugh Zhang Daniel Duckworth Daphne Ippolito Arvind Neelakantan 59 96 0 22 Apr 2020
What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models Allyson Ettinger 83 605 0 31 Jul 2019
Unifying Human and Statistical Evaluation for Natural Language Generation Tatsunori B. Hashimoto Hugh Zhang Percy Liang 66 223 0 04 Apr 2019
Fitting Linear Mixed-Effects Models using lme4 D. Bates M. Machler B. Bolker Steven C. Walker KELM 60 71,814 0 23 Jun 2014