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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability EMNLP 2025 CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval ACL 2025 CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation AAAI 2025 CAIDAS at SemEval-2025 Task 7: Enriching Sparse Datasets with LLM-Generated Content for Improved Information Retrieval SemEval 2025 CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences ICLR 2025 CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection AAAI 2025 CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning AAAI 2025 Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025 CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges ACL 2025 Calibrated Computation-Aware Gaussian Processes AISTATS 2025 Calibrated Disambiguation for Partial Multi-label Learning AAAI 2025 Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty JMLR 2025 Calibrated Language Models and How to Find Them with Label Smoothing ICML 2025 Calibrated Multi-Preference Optimization for Aligning Diffusion Models CVPR 2025 Calibrated Physics-Informed Uncertainty Quantification ICML 2025 Calibrated Regression Against An Adversary Without Regret UAI 2025 Calibrated Value-Aware Model Learning with Probabilistic Environment Models ICML 2025 Calibrating Language Models for Neural Ranking under Noisy Supervision with Relaxed Labels EMNLP 2025 Calibrating Large Language Models with Sample Consistency AAAI 2025 Calibrating LLM Confidence by Probing Perturbed Representation Stability EMNLP 2025 Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies EMNLP 2025 Calibrating LLMs with Information-Theoretic Evidential Deep Learning ICLR 2025 Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles ICCV 2025 Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification EMNLP 2025 Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025