Machine Learning

CompAct: Compressed Activations for Memory-Efficient LLM Training NAACL 2025 Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract) AAAI 2025 Comparative Knowledge Distillation WACV 2025 Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization ACL 2025 Comparing Behavioral Patterns of LLM and Human Tutors: A Population-level Analysis with the CIMA Dataset ACL 2025 Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method ICML 2025 Comparing human and LLM proofreading in L2 writing: Impact on lexical and syntactic features ACL 2025 Comparing Language Models of Different Scales for Security-Focused Tabular Query Generation and Reasoning IJCNLP 2025 Comparing Methods for Multi-Label Classification of Manipulation Techniques in Ukrainian Telegram Content ACL 2025 Comparing noisy neural population dynamics using optimal transport distances ICLR 2025 Comparing representations of long clinical texts for the task of patient-note identification NAACL 2025 Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance EMNLP 2025 Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources ICLR 2025 Comparison-based Active Preference Learning for Multi-dimensional Personalization ACL 2025 ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty ACL 2025 Compass: Encrypted Semantic Search with High Accuracy OSDI 2025 CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward EMNLP 2025 CompCap: Improving Multimodal Large Language Models with Composite Captions ICCV 2025 ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors ICLR 2025 Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training ICML 2025 Competing Bandits in Matching Markets via Super Stability ICML 2025 Competition Dynamics Shape Algorithmic Phases of In-Context Learning ICLR 2025 Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification ICCV 2025 Competitive Fair Scheduling with Predictions ICLR 2025 CompileAgent: Automated Real-World Repo-Level Compilation with Tool-Integrated LLM-based Agent System ACL 2025