Ahmad Dawar Hakimi

According to our database, Ahmad Dawar Hakimi authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

On Relation-Specific Neurons in Large Language Models.

Yihong Liu, Runsheng Chen, Lea Hirlimann, Ahmad Dawar Hakimi, Mingyang Wang, Amir Hossein Kargaran, Sascha Rothe, François Yvon, Hinrich Schütze

CoRR, February, 2025

Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models.

Ahmad Dawar Hakimi, Ali Modarressi, Philipp Wicke, Hinrich Schütze

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2023

Webis-Context-SciSumm-2023.

Shahbaz Syed, Ahmad Dawar Hakimi, Khalid Al Khatib, Martin Potthast

Dataset, October, 2023

Citance-Contextualized Summarization of Scientific Papers.

Shahbaz Syed, Ahmad Dawar Hakimi, Khalid Al Khatib, Martin Potthast

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Explorative Visual Analysis of Rap Music.

Christofer Meinecke, Ahmad Dawar Hakimi, Stefan Jänicke

Inf., 2022

2021

Same Side Stance Classification Resampled Datasets.

Gregor Wiedemann, Erik Körner, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast

Dataset, September, 2021

Same Sentiment Classification Train/Dev/Test Pair IDs.

Erik Körner, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast

Dataset, September, 2021

Same Side Stance Classification Adversarial Test Cases.

Ahmad Dawar Hakimi, Erik Körner, Gregor Wiedemann, Gerhard Heyer, Martin Potthast

Dataset, September, 2021

On Classifying whether Two Texts are on the Same Side of an Argument.

Erik Körner, Gregor Wiedemann, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Casting the Same Sentiment Classification Problem.

Erik Körner, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

The Road Map to FAME: A Framework for Mining and Formal Evaluation of Arguments.

Ringo Baumann, Gregor Wiedemann, Maximilian Heinrich, Ahmad Dawar Hakimi, Gerhard Heyer

Datenbank-Spektrum, 2020