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34,437 papers (4 classified directly here)

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Papers (including subtopics)

Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching ICML 2025 Adaptive Parameter Selection for Tuning Vision-Language Models CVPR 2025 Adaptive Partitioning Schemes for Optimistic Optimization ICML 2025 Adaptive Platt Scaling with Causal Interpretations for Self-Reflective Language Model Uncertainty Estimates EMNLP 2025 Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection NAACL 2025 Adaptive Prompt Learning via Gaussian Outlier Synthesis for Out-of-distribution Detection ICCV 2025 Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters ICLR 2025 Adaptive Retrieval-Augmented Generation for Conversational Systems NAACL 2025 Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model ICCV 2025 Adaptive Self-improvement LLM Agentic System for ML Library Development ICML 2025 AdaptMerge: Inference Time Adaptive Visual and Language-Guided Token Merging for Efficient Large Multimodal Models EMNLP 2025 AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting ICML 2025 AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning ICLR 2025 AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding ACL 2025 AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation EMNLP 2025 AdaSplash: Adaptive Sparse Flash Attention ICML 2025 A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization WACV 2025 A Dataset for Semantic Segmentation in the Presence of Unknowns CVPR 2025 AdaTP: Attention-Debiased Token Pruning for Video Large Language Models EMNLP 2025 AdaV: Adaptive Text-visual Redirection for Vision-Language Models ACL 2025 ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks AAAI 2025 ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution CVPR 2025 Adding Additional Control to One-Step Diffusion with Joint Distribution Matching ICCV 2025 Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models ACL 2025