proxy model

Efficient Hyperparameter Optimization for LLM Reinforcement Learning ACL 2026 Estimating the Black-box LLM Uncertainty with Distribution-Aligned Adversarial Distillation ACL 2026 Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models ACL 2026 CMI-AIGCX at GenAI Detection Task 2: Leveraging Multilingual Proxy LLMs for Machine-Generated Text Detection in Academic Essays COLING 2025 Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models EMNLP 2025 Generic Adversarial Attack Framework Against Vertical Federated Learning IJCAI 2025 GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention ICML 2025 Navigating Towards Fairness with Data Selection AAAI 2025 Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora NAACL 2025 ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models NAACL 2025 Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection JMLR 2025 Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale ICLR 2025 You Always Recognize Me (YARM): Robust Texture Synthesis Against Multi-View Corruption ICML 2025 Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning ICML 2024 DOGE: Domain Reweighting with Generalization Estimation ICML 2024 PAPM: A Physics-aware Proxy Model for Process Systems ICML 2024 Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs ACL 2024 Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes ICML 2023 RoMA: Robust Model Adaptation for Offline Model-based Optimization NeurIPS 2021 Neural Architecture Search in A Proxy Validation Loss Landscape ICML 2020 Selection via Proxy: Efficient Data Selection for Deep Learning ICLR 2020