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34,437 papers (4 classified directly here)

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Papers (including subtopics)

No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size COLING 2025 Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models NAACL 2025 Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models EMNLP 2025 Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning ICLR 2025 Not All Layers of LLMs Are Necessary During Inference IJCAI 2025 Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification ICLR 2025 Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance EMNLP 2025 Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability CVPR 2025 Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models ICLR 2025 Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers ICML 2025 Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models ICCV 2025 Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity EMNLP 2025 Not All Wrong is Bad: Using Adversarial Examples for Unlearning ICML 2025 Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models EMNLP 2025 NoT: Federated Unlearning via Weight Negation CVPR 2025 No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather CVPR 2025 Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models CVPR 2025 No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement COLING 2025 Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss EMNLP 2025 Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation RSS 2025 NRC Systems for the WMT2025-LRSL Shared Task EMNLP 2025 NTA at SemEval-2025 Task 11: Enhanced Multilingual Textual Multi-label Emotion Detection via Integrated Augmentation Learning SemEval 2025 NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel ICML 2025 NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval ICLR 2025 Numerical Pruning for Efficient Autoregressive Models AAAI 2025