Predicting Onflow Parameters Using Transfer Learning for Domain and Task Adaptation https://arxiv.org/abs/2506.14784 #physics.flu-dyn #cs.LG
CDST: Color Disentangled Style Transfer for Universal Style Reference Customization https://arxiv.org/abs/2506.13770 #cs.CV
LittleBit: Ultra Low-Bit Quantization via Latent Factorization https://arxiv.org/abs/2506.13771 #cs.LG #cs.AI #cs.CL
MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs https://arxiv.org/abs/2506.13772 #cs.LG #cs.AI
Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs https://arxiv.org/abs/2506.13773 #cs.AI
Personalized Constitutionally-Aligned Agentic Superego: Secure AI Behavior Aligned to Diverse Human Values https://arxiv.org/abs/2506.13774 #cs.AI #cs.CY #cs.MA
Recommendations and Reporting Checklist for Rigorous & Transparent Human Baselines in Model Evaluations https://arxiv.org/abs/2506.13776 #cs.AI #cs.CY #cs.HC
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning https://arxiv.org/abs/2506.13778 #cs.IR #cs.AI #cs.CL
Hidden Bias in the Machine: Stereotypes in Text-to-Image Models https://arxiv.org/abs/2506.13780 #cs.CV #cs.AI #cs.CY #cs.LG
From Complexity to Simplicity: A Polynomial Time Solution To The Subset Sum Problem And A Milestone In Proving P Equal NP https://arxiv.org/abs/2506.12019 #cs.CC
The Limits of Tractable Marginalization https://arxiv.org/abs/2506.12020 #cs.CC #cs.AI
Monitoring graph edges via shortest paths: computational complexity and approximation algorithms https://arxiv.org/abs/2506.12021 #cs.CC
Sign-Rank of $k$-Hamming Distance is Constant https://arxiv.org/abs/2506.12022 #cs.CC
FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization https://arxiv.org/abs/2506.12024 #cs.LG
Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs https://arxiv.org/abs/2506.12025 #cs.LG
LURK-T: Limited Use of Remote Keys With Added Trust in TLS 1.3 https://arxiv.org/abs/2506.12026 #cs.CR
Constant Bit-size Transformers Are Turing Complete https://arxiv.org/abs/2506.12027 #cs.CC #cs.LG
Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences https://arxiv.org/abs/2506.12029 #cs.LG #cs.AI
Impact, Causation and Prediction of Socio-Academic and Economic Factors in Exam-centric Student Evaluation Measures using Machine Learning and Causal Analysis https://arxiv.org/abs/2506.12030 #stat.ML #cs.LG #cs.AI
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