Resume
Academic Achievements
- 2024: How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?
- 2023: On the Generalization Ability of Retrieval-Enhanced Transformers (Findings of the Association for Computational Linguistics, p. 1485-1493)
- 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)
- 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)
- 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)
Research Experience
- Currently a researcher at Linköping University, involved in multiple research projects focusing on natural language processing and large language models.
Education
- Insufficient information to provide detailed educational background.
Background
- Research interests include artificial intelligence and its applications. Works at the Department of Computer and Information Science, Linköping University, in the Artificial Intelligence and Integrated Computer Systems division.
Miscellany
- No other specific information.