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Optimization

14,983 papers

Papers per year

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Papers

Addressing the Training-Inference Discrepancy in Discrete Diffusion for Text Generation COLING 2025
Improving NMT Models by Retrofitting Quality Estimators into Trainable Energy Loss COLING 2025
Unraveling the Mystery: Defending Against Jailbreak Attacks Via Unearthing Real Intention COLING 2025
META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models COLING 2025
PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning COLING 2025
Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding COLING 2025
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information COLING 2025
Improved Sparse Upcycling for Instruction Tuning COLING 2025
MoKA:Parameter Efficiency Fine-Tuning via Mixture of Kronecker Product Adaption COLING 2025
BinarySelect to Improve Accessibility of Black-Box Attack Research COLING 2025
Case2Code: Scalable Synthetic Data for Code Generation COLING 2025
Optimizing Lifelong Fine-Tuning for Multiple Tasks via Dataless Distribution Replay COLING 2025
Predicting Fine-tuned Performance on Larger Datasets Before Creating Them COLING 2025
Improving Accuracy of Low-resource ASR using Rule-Based Character Constituency Loss (RBCCL) COLING 2025
When Every Token Counts: Optimal Segmentation for Low-Resource Language Models COLING 2025
Stop Jostling: Adaptive Negative Sampling Reduces the Marginalization of Low-Resource Language Tokens by Cross-Entropy Loss COLING 2025
CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages COLING 2025
Towards Source-Free Machine Unlearning CVPR 2025
Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment CVPR 2025
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers CVPR 2025
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications CVPR 2025
ProReflow: Progressive Reflow with Decomposed Velocity CVPR 2025
Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone CVPR 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization CVPR 2025
DiffFNO: Diffusion Fourier Neural Operator CVPR 2025