Michal Lukasik
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
10
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge. | Cheng-Han Chiang, Hung-yi Lee, Michal Lukasik |
| 2025 | ICLR | Better autoregressive regression with LLMs via regression-aware fine-tuning. | Michal Lukasik, Zhao Meng, Harikrishna Narasimhan, Yin-Wen Chang, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar |
| 2025 | ICML | Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation. | Michal Lukasik, Lin Chen, Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Felix X. Yu, Sashank J. Reddi, Gang Fu, MohammadHossein Bateni, Sanjiv Kumar |
| 2024 | EMNLP | Regression Aware Inference with LLMs. | Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar |
| 2024 | ICLR | On Bias-Variance Alignment in Deep Models. | Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar |
| 2024 | ICLR | Two-stage LLM Fine-tuning with Less Specialization and More Generalization. | Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar |
| 2023 | ACL | Large Language Models with Controllable Working Memory. | Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar |
| 2023 | UAI | Robust distillation for worst-class performance: on the interplay between teacher and student objectives. | Serena Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon |
| 2022 | IJCNN | Hawkes Process Classification through Discriminative Modeling of Text. | Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik |
| 2020 | EMNLP | Text Segmentation by Cross Segment Attention. | Michal Lukasik, Boris Dadachev, Kishore Papineni, Gonalo Simes |
| 2020 | EMNLP | Semantic Label Smoothing for Sequence to Sequence Problems. | Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar |
| 2020 | ICML | Does label smoothing mitigate label noise? | Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar |
| 2020 | KDD | Scaling Graph Neural Networks with Approximate PageRank. | Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rzemberczki, Michal Lukasik, Stephan Gnnemann |
| 2018 | EMNLP | Content Explorer: Recommending Novel Entities for a Document Writer. | Michal Lukasik, Richard Zens |
| 2016 | AAAI | Convolution Kernels for Discriminative Learning from Streaming Text. | Michal Lukasik, Trevor Cohn |
| 2016 | ACL | Metrics for Evaluation of Word-level Machine Translation Quality Estimation. | Varvara Logacheva, Michal Lukasik, Lucia Specia |
| 2016 | ACL | Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter. | Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga, Trevor Cohn |
| 2016 | COLING | Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations. | Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik |
| 2015 | ACL | Point Process Modelling of Rumour Dynamics in Social Media. | Michal Lukasik, Trevor Cohn, Kalina Bontcheva |
| 2015 | EMNLP | Classifying Tweet Level Judgements of Rumours in Social Media. | Michal Lukasik, Trevor Cohn, Kalina Bontcheva |
| 2015 | EMNLP | Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. | Michal Lukasik, P. K. Srijith, Trevor Cohn, Kalina Bontcheva |
| 2012 | DAS | Evaluation of Features for Author Name Disambiguation Using Linear Support Vector Machines. | Piotr Jan Dendek, Lukasz Bolikowski, Michal Lukasik |