Machine Learning

Leveraging LLM-Generated Schema Descriptions for Unanswerable Question Detection in Clinical Data COLING 2025 Leveraging LLMs for Bangla Grammar Error Correction: Error Categorization, Synthetic Data, and Model Evaluation ACL 2025 Leveraging LLMs to Streamline the Review of Public Funding Applications EMNLP 2025 Leveraging Loanword Constraints for Improving Machine Translation in a Low-Resource Multilingual Context EMNLP 2025 Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning IJCAI 2025 Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models ICML 2025 Leveraging Moment Injection for Enhanced Semi-supervised Natural Language Inference with Large Language Models NAACL 2025 Leveraging Multilingual Models for Robust Grammatical Error Correction Across Low-Resource Languages COLING 2025 Leveraging Multilingual Training for Authorship Representation: Enhancing Generalization across Languages and Domains EMNLP 2025 Leveraging Offline Data in Linear Latent Contextual Bandits ICML 2025 Leveraging Open-Source Large Language Models for Native Language Identification COLING 2025 Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels IJCAI 2025 Leveraging Per-Instance Privacy for Machine Unlearning ICML 2025 Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks IJCAI 2025 Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection CVPR 2025 Leveraging Predictive Equivalence in Decision Trees ICML 2025 Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly IJCAI 2025 Leveraging Product Catalog Patterns for Multilingual E-commerce Product Attribute Prediction EMNLP 2025 Leveraging Randomness in Model and Data Partitioning for Privacy Amplification ICML 2025 Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs ACL 2025 Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees EMNLP 2025 Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration ICML 2025 Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective ICML 2025 Leveraging Spatial Invariance to Boost Adversarial Transferability ICCV 2025 Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs ICLR 2025