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Optimization

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Papers

LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning ICML 2025 Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models ICLR 2025 Lightspeed Geometric Dataset Distance via Sliced Optimal Transport ICML 2025 LimaCost: Data Valuation for Instruction Tuning of Large Language Models EMNLP 2025 Linear Attention Modeling for Learned Image Compression CVPR 2025 Linear Bandits with Partially Observable Features ICML 2025 Linear combinations of latents in generative models: subspaces and beyond ICLR 2025 Linear Contextual Bandits With Interference ICML 2025 Linear convergence of Sinkhorn’s algorithm for generalized static Schrödinger bridge ICML 2025 Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025 Linear Mode Connectivity in Differentiable Tree Ensembles ICLR 2025 Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation EMNLP 2025 LineFlow: A Framework to Learn Active Control of Production Lines ICML 2025 List Update with Prediction AAAI 2025 Literature-Grounded Novelty Assessment of Scientific Ideas ACL 2025 LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces ICML 2025 LLM Alignment as Retriever Optimization: An Information Retrieval Perspective ICML 2025 LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences EMNLP 2025 LLM-based post-editing as reference-free GEC evaluation ACL 2025 LLM Data Selection and Utilization via Dynamic Bi-level Optimization ICML 2025 LLM-enhanced Score Function Evolution for Causal Structure Learning IJCAI 2025 LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation EMNLP 2025 LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch ICLR 2025 LLMs Can Plan Only If We Tell Them ICLR 2025 LLMs can see and hear without any training ICML 2025