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Optimization

1638 directly classified papers

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Papers

ECoRAG: Evidentiality-guided Compression for Long Context RAG ACL 2025
Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime Tradeoff ACL 2025
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models ACL 2025
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment CVPR 2025
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model CVPR 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025
CoMMIT: Coordinated Multimodal Instruction Tuning EMNLP 2025
Calibration Across Layers: Understanding Calibration Evolution in LLMs EMNLP 2025
Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form Generation EMNLP 2025
FLRC: Fine-grained Low-Rank Compressor for Efficient LLM Inference EMNLP 2025
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference EMNLP 2025
Answer Convergence as a Signal for Early Stopping in Reasoning EMNLP 2025
ProCut: LLM Prompt Compression via Attribution Estimation EMNLP 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025
Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone CVPR 2025
LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering ACL 2025
MUZO: Leveraging Multiple Queries and Momentum for Zeroth-Order Fine-Tuning of Large Language Models EMNLP 2025
Training compute-optimal transformer encoder models EMNLP 2025
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025
MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks CVPR 2025
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models EMNLP 2025
Temporal Scaling Law for Large Language Models EMNLP 2025
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization EMNLP 2025
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks CVPR 2025