MICHAL LUKASIK
19 papers · 2015–2025 · 7 venues · across top CS/AI venues
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Papers
Better autoregressive regression with LLMs via regression-aware fine-tuning
ICLR 2025
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
ICML 2025
TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge
ACL 2025
On Bias-Variance Alignment in Deep Models
ICLR 2024
Regression Aware Inference with LLMs
EMNLP 2024
Two-stage LLM Fine-tuning with Less Specialization and More Generalization
ICLR 2024
Large Language Models with Controllable Working Memory
ACL 2023
ResMem: Learn what you can and memorize the rest
NeurIPS 2023
Robust distillation for worst-class performance: on the interplay between teacher and student objectives
UAI 2023
Does label smoothing mitigate label noise?
ICML 2020
Semantic Label Smoothing for Sequence to Sequence Problems
EMNLP 2020
Text Segmentation by Cross Segment Attention
EMNLP 2020
Content Explorer: Recommending Novel Entities for a Document Writer
EMNLP 2018
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter
ACL 2016
Metrics for Evaluation of Word-level Machine Translation Quality Estimation
ACL 2016
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations
COLING 2016
Classifying Tweet Level Judgements of Rumours in Social Media
EMNLP 2015
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes
EMNLP 2015
Point Process Modelling of Rumour Dynamics in Social Media
ACL 2015