Saved in:
| Main Authors: | Vendeville, Benjamin, Ermakova, Liana, De Loor, Pierre |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.16392 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Rise of Verbal Tics in Large Language Models: A Systematic Analysis Across Frontier Models
by: Wu, Shuai, et al.
Published: (2026)
by: Wu, Shuai, et al.
Published: (2026)
Adversarially Probing Cross-Family Sound Symbolism in 27 Languages
by: Sharma, Anika, et al.
Published: (2025)
by: Sharma, Anika, et al.
Published: (2025)
Vision-Guided Iterative Refinement for Frontend Code Generation
by: Sansford, Hannah, et al.
Published: (2026)
by: Sansford, Hannah, et al.
Published: (2026)
Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
by: Abdelhamid, Mohamed, et al.
Published: (2024)
by: Abdelhamid, Mohamed, et al.
Published: (2024)
Regularisation in neural networks: a survey and empirical analysis of approaches
by: Opperman, Christiaan P., et al.
Published: (2026)
by: Opperman, Christiaan P., et al.
Published: (2026)
Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
by: Lapin, Mykyta, et al.
Published: (2025)
by: Lapin, Mykyta, et al.
Published: (2025)
Conversation Tree Architecture: A Structured Framework for Context-Aware Multi-Branch LLM Conversations
by: Hemanth, Pranav, et al.
Published: (2026)
by: Hemanth, Pranav, et al.
Published: (2026)
First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
by: Caraker, Drake, et al.
Published: (2026)
by: Caraker, Drake, et al.
Published: (2026)
EXCODER: EXplainable Classification Of DiscretE time series Representations
by: Hahn, Yannik, et al.
Published: (2026)
by: Hahn, Yannik, et al.
Published: (2026)
Membership Inference Attacks against Large Audio Language Models
by: Dong, Jia-Kai, et al.
Published: (2026)
by: Dong, Jia-Kai, et al.
Published: (2026)
ERP-RiskBench: Leakage-Safe Ensemble Learning for Financial Risk
by: Mishra, Sanjay
Published: (2026)
by: Mishra, Sanjay
Published: (2026)
ASD-Bench: A Four-Axis Comprehensive Benchmark of AI Models for Autism Spectrum Disorder
by: Singh, Shubhankit, et al.
Published: (2026)
by: Singh, Shubhankit, et al.
Published: (2026)
Sample-Efficient Language Model for Hinglish Conversational AI
by: Singh, Sakshi, et al.
Published: (2025)
by: Singh, Sakshi, et al.
Published: (2025)
Experimentation Accelerator: Interpretable Insights and Creative Recommendations for A/B Testing with Content-Aware ranking
by: Hu, Zhengmian, et al.
Published: (2026)
by: Hu, Zhengmian, et al.
Published: (2026)
A Lexical Analysis of online Reviews on Human-AI Interactions
by: Arbab, Parisa, et al.
Published: (2025)
by: Arbab, Parisa, et al.
Published: (2025)
Align and Shine: Building High-Quality Sentence-Aligned Corpora for Multilingual Text Simplification
by: Hilasaca, Kenji, et al.
Published: (2026)
by: Hilasaca, Kenji, et al.
Published: (2026)
Emotion-Attended Stateful Memory (EASM):The Architecture for Hyper-Personalization at Scale
by: Kotecha, Vineet, et al.
Published: (2026)
by: Kotecha, Vineet, et al.
Published: (2026)
Reflective Verbal Reward Design for Pluralistic Alignment
by: Blair, Carter, et al.
Published: (2025)
by: Blair, Carter, et al.
Published: (2025)
Utilizing Large Language Models to Synthesize Product Desirability Datasets
by: Hastings, John D., et al.
Published: (2024)
by: Hastings, John D., et al.
Published: (2024)
Motion Prediction with Gaussian Processes for Safe Human-Robot Interaction in Virtual Environments
by: Mugisha, Stanley, et al.
Published: (2024)
by: Mugisha, Stanley, et al.
Published: (2024)
Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process
by: Reza, Mohi, et al.
Published: (2025)
by: Reza, Mohi, et al.
Published: (2025)
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
by: Nishiyama, Daiki, et al.
Published: (2022)
by: Nishiyama, Daiki, et al.
Published: (2022)
Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
by: Smits, William
Published: (2026)
by: Smits, William
Published: (2026)
A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
by: Xian, Zeqiang, et al.
Published: (2026)
by: Xian, Zeqiang, et al.
Published: (2026)
RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
by: Barnard, Amanda S
Published: (2026)
by: Barnard, Amanda S
Published: (2026)
CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization
by: Hong, Dasol, et al.
Published: (2025)
by: Hong, Dasol, et al.
Published: (2025)
A Multidisciplinary Approach to Telegram Data Analysis
by: Varbanov, Velizar, et al.
Published: (2024)
by: Varbanov, Velizar, et al.
Published: (2024)
DARE-EEG: A Foundation Model for Mining Dual-Aligned Representation of EEG
by: Shao, Yang, et al.
Published: (2026)
by: Shao, Yang, et al.
Published: (2026)
Nurture-First Agent Development: Building Domain-Expert AI Agents Through Conversational Knowledge Crystallization
by: Zhang, Linghao
Published: (2026)
by: Zhang, Linghao
Published: (2026)
Augmented Assembly: Object Recognition and Hand Tracking for Adaptive Assembly Instructions in Augmented Reality
by: Kyaw, Alexander Htet, et al.
Published: (2025)
by: Kyaw, Alexander Htet, et al.
Published: (2025)
ProfileXAI: User-Adaptive Explainable AI
by: Corrales, Gilber A., et al.
Published: (2025)
by: Corrales, Gilber A., et al.
Published: (2025)
AI-Spectra: A Visual Dashboard for Model Multiplicity to Enhance Informed and Transparent Decision-Making
by: Eerlings, Gilles, et al.
Published: (2024)
by: Eerlings, Gilles, et al.
Published: (2024)
CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants
by: Alberts, Lize, et al.
Published: (2024)
by: Alberts, Lize, et al.
Published: (2024)
From Attribution to Action: A Human-Centered Application of Activation Steering
by: Labarta, Tobias, et al.
Published: (2026)
by: Labarta, Tobias, et al.
Published: (2026)
ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
by: Poorna, Rajas, et al.
Published: (2026)
by: Poorna, Rajas, et al.
Published: (2026)
When is dataset cartography ineffective? Using training dynamics does not improve robustness against Adversarial SQuAD
by: Mandal, Paul K.
Published: (2025)
by: Mandal, Paul K.
Published: (2025)
Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages
by: de Zuazo, Xabier, et al.
Published: (2025)
by: de Zuazo, Xabier, et al.
Published: (2025)
On the Development of Binary Classification Algorithm Based on Principles of Geometry and Statistical Inference
by: Srivastava, Vatsal
Published: (2025)
by: Srivastava, Vatsal
Published: (2025)
Reward Model Interpretability via Optimal and Pessimal Tokens
by: Christian, Brian, et al.
Published: (2025)
by: Christian, Brian, et al.
Published: (2025)
Geometric Mixture Classifier (GMC): A Discriminative Per-Class Mixture of Hyperplanes
by: K, Prasanth K, et al.
Published: (2025)
by: K, Prasanth K, et al.
Published: (2025)
Similar Items
-
The Rise of Verbal Tics in Large Language Models: A Systematic Analysis Across Frontier Models
by: Wu, Shuai, et al.
Published: (2026) -
Adversarially Probing Cross-Family Sound Symbolism in 27 Languages
by: Sharma, Anika, et al.
Published: (2025) -
Vision-Guided Iterative Refinement for Frontend Code Generation
by: Sansford, Hannah, et al.
Published: (2026) -
Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
by: Abdelhamid, Mohamed, et al.
Published: (2024) -
Regularisation in neural networks: a survey and empirical analysis of approaches
by: Opperman, Christiaan P., et al.
Published: (2026)