implicit bia

Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks JMLR 2026 How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? An Explainability-Based Audit Framework for Implicit Bias AAAI 2026 How Does the ReLU Activation Affect the Implicit Bias of Gradient Descent on High-dimensional Neural Network Regression? COLT 2026 Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMs ACL 2026 On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD AAAI 2026 Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection JMLR 2026 Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race ACL 2025 Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression ICML 2025 Critical Influence of Overparameterization on Sharpness-aware Minimization UAI 2025 Early Alignment in Two-Layer Networks Training is a Two-Edged Sword JMLR 2025 Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks AAAI 2025 Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations AISTATS 2025 Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective ACL 2025 Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection ACL 2025 Exploring and Mitigating Implicit Bias in Large Language Models: A Cross-Domain Evaluation Framework AAAI 2025 Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks ICLR 2025 General Loss Functions Lead to (Approximate) Interpolation in High Dimensions JMLR 2025 Get rid of your constraints and reparametrize: A study in NNLS and implicit bias AISTATS 2025 Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025 Grokking at the Edge of Linear Separability ICML 2025 Implicit Bias Injection Attacks against Text-to-Image Diffusion Models CVPR 2025 Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks ICML 2025 Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression ICLR 2025 Investigating the Security Threat Arising from “Yes-No” Implicit Bias in Large Language Models AAAI 2025 LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won’t Fail) ICML 2025