Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective

26 April 2022

Papers citing "Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective"

6 / 6 papers shown

Title
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints Thomas Palmeira Ferraz Kartik Mehta Yu-Hsiang Lin Haw-Shiuan Chang Shereen Oraby Sijia Liu Vivek Subramanian Tagyoung Chung Mohit Bansal Nanyun Peng 53 7 0 09 Oct 2024
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation Anssi Moisio Mathias Creutz M. Kurimo CoGe 19 1 0 14 Nov 2023
Montague semantics and modifier consistency measurement in neural language models Danilo S. Carvalho Edoardo Manino Julia Rozanova Lucas C. Cordeiro André Freitas 16 0 0 10 Oct 2022
The paradox of the compositionality of natural language: a neural machine translation case study Verna Dankers Elia Bruni Dieuwke Hupkes CoGe 162 75 0 12 Aug 2021
Probing Linguistic Systematicity Emily Goodwin Koustuv Sinha Timothy J. O'Donnell 96 58 0 08 May 2020
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 183 291 0 03 Sep 2019