Optimization

MGDA Converges under Generalized Smoothness, Provably ICLR 2025 MGSfM: Multi-Camera Geometry Driven Global Structure-from-Motion ICCV 2025 MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models ICLR 2025 Microfoundation inference for strategic prediction AISTATS 2025 MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework EMNLP 2025 MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning NAACL 2025 Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers ICML 2025 Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures ICLR 2025 MiniKV: Pushing the Limits of 2-Bit KV Cache via Compression and System Co-Design for Efficient Long Context Inference ACL 2025 MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models ACL 2025 Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models ICLR 2025 Minimizing Polarization and Disagreement in the Friedkin–Johnsen Model with Unknown Innate Opinions IJCAI 2025 Minority-Focused Text-to-Image Generation via Prompt Optimization CVPR 2025 Mirage: A Multi-Level Superoptimizer for Tensor Programs OSDI 2025 Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias? ICML 2025 Misalignment Attack on Text-to-Image Models via Text Embedding Optimization and Inversion EMNLP 2025 (Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning ICLR 2025 Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel ACL 2025 Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation EMNLP 2025 Mitigating Bias in Item Retrieval for Enhancing Exam Assembly in Vocational Education Services NAACL 2025 Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination ICCV 2025 Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing ICML 2025 Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization ICLR 2025 Mitigating Label Length Bias in Large Language Models IJCNLP 2025 Mitigating Memorization in Language Models ICLR 2025