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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions ACL 2025 Improving Chemical Understanding of LLMs via SMILES Parsing EMNLP 2025 Improving Clustering with Positive Pairs Generated from LLM-Driven Labels EMNLP 2025 Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning AAAI 2025 Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach ICLR 2025 Improving Consistency in LLM Inference using Probabilistic Tokenization NAACL 2025 Improving Context Fidelity via Native Retrieval-Augmented Reasoning EMNLP 2025 Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization ACL 2025 Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers ICML 2025 Improving Continual Pre-training Through Seamless Data Packing ACL 2025 Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization ICLR 2025 Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy AAAI 2025 Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models NAACL 2025 Improving Data Efficiency via Curating LLM-Driven Rating Systems ICLR 2025 Improving Deep Detector Robustness via Detection-Related Discriminant Maximization and Reorganization WACV 2025 Improving Deep Learning Speed and Performance Through Synaptic Neural Balance AAAI 2025 Improving Deep Regression with Tightness ICLR 2025 Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study COLING 2025 Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing CVPR 2025 Improving Diversity in Language Models: When Temperature Fails, Change the Loss ICML 2025 Improving Document Retrieval Coherence for Semantically Equivalent Queries IJCNLP 2025 Improving Efficiency in Large Language Models via Extendable Block Floating Point Representation ACL 2025 Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo CoRL 2025 Improving Equivariant Networks with Probabilistic Symmetry Breaking ICLR 2025 Improving Fairness of Large Language Models in Multi-document Summarization ACL 2025