Ehsan Doostmohammadi

PhD student

Publications

2024

Ehsan Doostmohammadi, Oskar Holmström, Marco Kuhlmann (2024) How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?

2023

Tobias Norlund, Ehsan Doostmohammadi, Richard Johansson, Marco Kuhlmann (2023) On the Generalization Ability of Retrieval-Enhanced Transformers Findings of the Association for Computational Linguistics, p. 1485-1493 (Conference paper)

Oskar Holmström, Ehsan Doostmohammadi (2023) Making Instruction Finetuning Accessible to Non-English Languages: A Case Study on Swedish Models Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), p. 634-642 (Conference paper)

Ehsan Doostmohammadi, Tobias Norlund, Marco Kuhlmann, Richard Johansson (2023) Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language Models Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), p. 521-529 (Conference paper)

2022

Ehsan Doostmohammadi, Marco Kuhlmann (2022) On the Effects of Video Grounding on Language Models Proceedings of the First Workshop on Performance and Interpretability Evaluations of Multimodal, Multipurpose, Massive-Scale Models (Conference paper)

About the division

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Artificial Intelligence and Integrated Computer Systems (AIICS)

The AIICS division is part of the Department of Computer and Information Science. The division's main focus is research and teaching in artificial intelligence, its theoretical foundations and its applications.

Ehsan Doostmohammadi

Publications

2024

2023

2022

About the division

Artificial Intelligence and Integrated Computer Systems (AIICS)

Colleagues at AIICS

About the department

Department of Computer and Information Science (IDA)

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