Michal Lukasik
Google Research
Google Scholar
Github
About Me
I am a Research Scientist at Google Research New York. I work on fundamental research in machine learning and LLMs with applications on Google products.
Research Interests
- Loss function design.
- LLMs.
- NLP applications.
News and Highlights
- Action Editor (equivalent to an Area Chair) for ACL and EMNLP 2024 in the Machine Learning for NLP track.
- Co-organized the workshop on Scaling Behavior of Large Language Models SCALE-LLM 2024 co-located with EACL 2024.
- Reviewer for ICML, ICLR, Neurips 2020-2024. Outstanding reviewer ICML 2022 (top 10%).
Selected Representative Publications
Regression (and Scoring) Aware Inference with LLMs
Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar. In EMNLP (findings), 2024.
Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar. In EMNLP (findings), 2024.
It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models
Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar. In ICLR (spotlight presentation), 2024.
Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar. In ICLR (spotlight presentation), 2024.
Teacher's pet: understanding and mitigating biases in distillation
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar. In TMLR, 2022.
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar. In TMLR, 2022.
Does label smoothing mitigate label noise?
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar. In ICML, 2020.
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar. In ICML, 2020.