model stability

Persistent Instability in LLM’s Personality Measurements: Effects of Scale, Reasoning, and Conversation History AAAI 2026 Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025 LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios ACL 2025 Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints ICCV 2025 Aligning Relational Learning with Lipschitz Fairness ICLR 2024 Bagging Provides Assumption-free Stability JMLR 2024 Faithful Vision-Language Interpretation via Concept Bottleneck Models ICLR 2024 Investigating the Impact of Model Instability on Explanations and Uncertainty ACL 2024 Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability ICLR 2024 Data Feedback Loops: Model-driven Amplification of Dataset Biases ICML 2023 Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization NeurIPS 2023 Measuring and Mitigating Local Instability in Deep Neural Networks ACL 2023 Provably Auditing Ordinary Least Squares in Low Dimensions ICLR 2023 SEAT: Stable and Explainable Attention AAAI 2023 Stable and low-precision training for large-scale vision-language models NeurIPS 2023 The Ideal Continual Learner: An Agent That Never Forgets ICML 2023 The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance NeurIPS 2023 Are Neural Topic Models Broken? EMNLP 2022 A Robustness Evaluation Framework for Argument Mining COLING 2022 Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability NeurIPS 2022 Robust Counterfactual Explanations for Tree-Based Ensembles ICML 2022 Why predicting risk can’t identify ‘risk factors’: empirical assessment of model stability in machine learning across observational health databases MLHC 2022 How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task EMNLP 2021 Improved Contrastive Divergence Training of Energy-Based Models ICML 2021 Stabilizing Equilibrium Models by Jacobian Regularization ICML 2021