MP
Mykola Pechenizkiy
cs.LGcs.AIcs.CVcs.CLstat.MLcs.SIcs.IRcs.NEcs.CYcs.CR
On Valency
published · living versionsW_g237bs4b·v1 · currentpublished
Dr. No: Feature Steering for Abstention in Vision-Language Models
with Farid Hasanov, Riccardo Renzulli, Bahram Zonooz, Decebal Constantin Mocanu
1 version
Preprints & journals
134 papers in the corpus · 2006–2026Correction-space Cross-variate Interaction for Test-time Adaptation in Time Series Forecasting2609.34638v1 · Yuanyuan Deng, Mykola Pechenizkiy, Songgaojun Deng2026 · 0 citationsarXiv
Fairness-Aware Network Embeddings: Methods, Applications, and Challenges2608.19381v1 · Ella Has, Harshith Kumar Yadav, Gaurav Dixit et al.2026 · 0 citationsarXiv
Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data2607.01838v1 · Emmanuel C. Chukwu, Rianne M. Schouten, Monique Tabak et al.2026 · 0 citationsarXiv
Self-evolving LLM agents with in-distribution Optimization2606.07367v1 · Yudi Zhang, Meng Fang, Zhenfang Chen et al.2026 · 0 citationsarXiv
When Data Is Scarce: Scaling Sparse Language Models with Repeated Training2606.01155v1 · Boqian Wu, Qiao Xiao, Patrik Okanovic et al.2026 · 0 citationsarXiv
Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling2606.00888v1 · Qiao Xiao, Boqian Wu, Patrik Okanovic et al.2026 · 0 citationsarXiv
One Model for All: Multi-Objective Controllable Language Models2604.04497v1 · Qiang He, Yucheng Yang, Tianyi Zhou et al.2026 · 0 citationsarXiv
PhysVid: Physics Aware Local Conditioning for Generative Video Models2603.26285v2 · Saurabh Pathak, Elahe Arani, Mykola Pechenizkiy et al.2026 · 0 citationsarXiv
SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems2603.17373v2 · Rima Hazra, Bikram Ghuku, Ilona Marchenko et al.2026 · 0 citationsarXiv
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information2603.11094v1 · Ben Halstead, Yun Sing Koh, Patricia Riddle et al.2026 · 9 citationsarXiv
The Unfairness of Multifactorial Bias in Recommendation2601.12828v1 · Masoud Mansoury, Jin Huang, Mykola Pechenizkiy et al.2026 · 0 citationsarXiv
Counterfactual Explanations for Time Series Should be Human-Centered and Temporally Coherent in Interventions2512.14559v1 · Emmanuel C. Chukwu, Rianne M. Schouten, Monique Tabak et al.2025 · 0 citationsarXiv
Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving2510.00919v3 · Shunfeng Zheng, Yudi Zhang, Meng Fang et al.2025 · 1 citationarXiv
PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments2509.06235v1 · Olivier Schipper, Yudi Zhang, Yali Du et al.2025 · 0 citations2025 IEEE Conference on Games (CoG), Lisbon, Portugal, 2025, pp. 1-15
Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well2508.15569v1 · Xin Du, Sikun Yang, Wouter Duivesteijn et al.2025 · 1 citationarXiv
MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages2506.19468v1 · Wenhan Han, Yifan Zhang, Zhixun Chen et al.2025 · 1 citationarXiv
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning2506.14990v3 · Tristan Tomilin, Luka van den Boogaard, Samuel Garcin et al.2025 · 0 citationsarXiv
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning2506.10629v1 · Yucheng Yang, Tianyi Zhou, Qiang He et al.2025 · 2 citationsInternational Conference on Learning Representations (ICLR), 2024, Spotlight paper
Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity2506.00932v1 · Qiao Xiao, Boqian Wu, Andrey Poddubnyy et al.2025 · 0 citationsarXiv
Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution2505.24037v3 · Qiao Xiao, Alan Ansell, Boqian Wu et al.2025 · 0 citationsarXiv
REOBench: Benchmarking Robustness of Earth Observation Foundation Models2505.16793v2 · Xiang Li, Yong Tao, Siyuan Zhang et al.2025 · 4 citationsarXiv
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents2503.08241v1 · Tristan Tomilin, Meng Fang, Mykola Pechenizkiy2025 · 0 citationsarXiv
Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?2502.19557v1 · Yudi Zhang, Lu Wang, Meng Fang et al.2025 · 0 citationsarXiv
On Adversarial Robustness of Language Models in Transfer Learning2501.00066v2 · Bohdan Turbal, Anastasiia Mazur, Jiaxu Zhao et al.2024 · 0 citationsSocially Responsible Language Modelling Research (SoLaR) Workshop at NeurIPS 2024
Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data2411.09431v1 · Rik Raes, Saskia Lensink, Mykola Pechenizkiy2024 · 0 citationsarXiv
RuAG: Learned-rule-augmented Generation for Large Language Models2411.03349v1 · Yudi Zhang, Pei Xiao, Lu Wang et al.2024 · 0 citationsarXiv
MedINST: Meta Dataset of Biomedical Instructions2410.13458v1 · Wenhan Han, Meng Fang, Zihan Zhang et al.2024 · 3 citationsarXiv
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness2410.03030v2 · Boqian Wu, Qiao Xiao, Shunxin Wang et al.2024 · 0 citationsarXiv
Are Sparse Neural Networks Better Hard Sample Learners?2409.09196v2 · Qiao Xiao, Boqian Wu, Lu Yin et al.2024 · 0 citationsarXiv
Rethinking Knowledge Transfer in Learning Using Privileged Information2408.14319v1 · Danil Provodin, Bram van den Akker, Christina Katsimerou et al.2024 · 2 citationsarXiv
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams2408.09324v1 · Ben Halstead, Yun Sing Koh, Patricia Riddle et al.2024 · 5 citationsarXiv
Robust Active Learning (RoAL): Countering Dynamic Adversaries in Active Learning with Elastic Weight Consolidation2408.07364v2 · Ricky Maulana Fajri, Yulong Pei, Lu Yin et al.2024 · 1 citationarXiv
Unveiling the Power of Sparse Neural Networks for Feature Selection2408.04583v1 · Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy et al.2024 · 6 citationsarXiv
Dynamic Data Pruning for Automatic Speech Recognition2406.18373v1 · Qiao Xiao, Pingchuan Ma, Adriana Fernandez-Lopez et al.2024 · 1 citationarXiv
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity2406.06495v3 · Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli et al.2024 · 0 citationsarXiv
One-Shot Federated Learning with Bayesian Pseudocoresets2406.02177v1 · Tim d'Hondt, Mykola Pechenizkiy, Robert Peharz2024 · 0 citationsarXiv
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling2405.19017v1 · Danil Provodin, Maurits Kaptein, Mykola Pechenizkiy2024 · 0 citationsarXiv
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action2404.12143v1 · Hilde Weerts, Raphaele Xenidis, Fabien Tarissan et al.2024 · 11 citations2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24)
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking2404.08006v1 · Igor G. Smit, Zaharah Bukhsh, Mykola Pechenizkiy et al.2024 · 2 citationsarXiv
Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain2402.19226v3 · Pratik Gajane, Sean Newman, Mykola Pechenizkiy et al.2024 · 0 citationsarXiv
Large Language Models Are Neurosymbolic Reasoners2401.09334v1 · Meng Fang, Shilong Deng, Yudi Zhang et al.2024 · 21 citationsarXiv
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning2312.15339v1 · Bram Grooten, Tristan Tomilin, Gautham Vasan et al.2023 · 5 citationsarXiv
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models2312.06315v2 · Jiaxu Zhao, Meng Fang, Shirui Pan et al.2023 · 4 citationsarXiv
A Structural-Clustering Based Active Learning for Graph Neural Networks2312.04307v1 · Ricky Maulana Fajri, Yulong Pei, Lu Yin et al.2023 · 3 citationsarXiv
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation2312.04727v2 · Boqian Wu, Qiao Xiao, Shiwei Liu et al.2023 · 8 citationsarXiv
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training2312.03044v2 · Jiaxu Zhao, Lu Yin, Shiwei Liu et al.2023 · 3 citationsarXiv
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective2312.01397v3 · Can Jin, Tianjin Huang, Yihua Zhang et al.2023 · 7 citationsarXiv
KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering2310.19650v1 · Iftitahu Ni'mah, Samaneh Khoshrou, Vlado Menkovski et al.2023 · 0 citationsarXiv
Heterophily-Based Graph Neural Network for Imbalanced Classification2310.08725v1 · Zirui Liang, Yuntao Li, Tianjin Huang et al.2023 · 0 citationsarXiv
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity2310.05175v4 · Lu Yin, You Wu, Zhenyu Zhang et al.2023 · 6 citationsarXiv
Career total: 435 works. 134 are in this corpus.Showing the 50 most recent.
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