Machine Learning

Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs ICML 2025 Quantifying Semantic Emergence in Language Models ACL 2025 Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 2025 Quantifying the Influence of Evaluation Aspects on Long-Form Response Assessment COLING 2025 Quantifying the Influence of Irrelevant Contexts on Political Opinions Produced by LLMs ACL 2025 Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons AISTATS 2025 Quantile Multi-Armed Bandits with 1-bit Feedback ALT 2025 Quantile Regression with Large Language Models for Price Prediction ACL 2025 Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction AAAI 2025 Quantization without Tears CVPR 2025 Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs EMNLP 2025 Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025 Quantized Spike-driven Transformer ICLR 2025 QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache ICML 2025 Quantum Algorithms for Finite-horizon Markov Decision Processes ICML 2025 Quantum Best Arm Identification with Quantum Oracles AAAI 2025 Quantum-Infused Whisper: A Framework for Replacing Classical Components AACL 2025 Quantum (Inspired) D^2-sampling with Applications ICLR 2025 Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation AAAI 2025 Quantum Optimization via Gradient-Based Hamiltonian Descent ICML 2025 Quantum-PEFT: Ultra parameter-efficient fine-tuning ICLR 2025 Quantum Virtual Machines OSDI 2025 QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge CVPR 2025 QUARTZ: QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization EMNLP 2025 QuASAR: A Question-Driven Structure-Aware Approach for Table-to-Text Generation ACL 2025