Machine Learning

ProbeSDF: Light Field Probes For Neural Surface Reconstruction CVPR 2025 Probing and Boosting Large Language Models Capabilities via Attention Heads EMNLP 2025 Probing for Arithmetic Errors in Language Models EMNLP 2025 Probing Neural Network Generalization using Default Patterns NAACL 2025 Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval NAACL 2025 Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment ACL 2025 Probing Semantic Routing in Large Mixture-of-Expert Models EMNLP 2025 Probing Subphonemes in Morphology Models ACL 2025 Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks ACL 2025 Probing the Latent Hierarchical Structure of Data via Diffusion Models ICLR 2025 Probing the Mid-level Vision Capabilities of Self-Supervised Learning CVPR 2025 Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions IJCAI 2025 Problem-Parameter-Free Federated Learning ICLR 2025 Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning ACL 2025 ProbMED: A Probabilistic Framework for Medical Multimodal Binding ICCV 2025 ProbPose: A Probabilistic Approach to 2D Human Pose Estimation CVPR 2025 ProbRes: Probabilistic Jump Diffusion for Open-World Egocentric Activity Recognition ICCV 2025 Procedural Environment Generation for Tool-Use Agents EMNLP 2025 Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models ICLR 2025 Procedural Synthesis of Synthesizable Molecules ICLR 2025 Procedure Knowledge Decoupled Distillation Strategy for Procedure Planning in Instructional Videos AAAI 2025 Process-based Self-Rewarding Language Models ACL 2025 Processing and acquisition traces in visual encoders: What does CLIP know about your camera? ICCV 2025 Process-Supervised Reinforcement Learning for Code Generation EMNLP 2025 Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise EMNLP 2025