DecompX: Explaining Transformers Decisions by Propagating Token
Decomposition

DecompX: Explaining Transformers Decisions by Propagating Token Decomposition

5 June 2023

Ehsan Aghazadeh

Yadollah Yaghoobzadeh

Mohammad Taher Pilehvar

Papers citing "DecompX: Explaining Transformers Decisions by Propagating Token Decomposition"

11 / 11 papers shown

Title
Towards Budget-Friendly Model-Agnostic Explanation Generation for Large Language Models Junhao Liu Haonan Yu Xin Zhang LRM 4 0 0 18 May 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers Tobias Leemann Alina Fastowski Felix Pfeiffer Gjergji Kasneci 62 4 0 10 Jan 2025
Interpreting token compositionality in LLMs: A robustness analysis Nura Aljaafari Danilo S. Carvalho André Freitas 35 0 0 16 Oct 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models Sepehr Kamahi Yadollah Yaghoobzadeh 53 0 0 21 Aug 2024
Explanation Regularisation through the Lens of Attributions Pedro Ferreira Wilker Aziz Ivan Titov 46 1 0 23 Jul 2024
Evaluating Human Alignment and Model Faithfulness of LLM Rationale Mohsen Fayyaz Fan Yin Jiao Sun Nanyun Peng 65 3 0 28 Jun 2024
Computational modeling of semantic change Nina Tahmasebi Haim Dubossarsky 34 6 0 13 Apr 2023
Quantifying Context Mixing in Transformers Hosein Mohebbi Willem H. Zuidema Grzegorz Chrupała A. Alishahi 168 24 0 30 Jan 2023
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 114 107 0 22 Sep 2022
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification Jasmijn Bastings Sebastian Ebert Polina Zablotskaia Anders Sandholm Katja Filippova 115 75 0 14 Nov 2021
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models Goro Kobayashi Tatsuki Kuribayashi Sho Yokoi Kentaro Inui 160 46 0 15 Sep 2021