conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Neural Network Optimization

3,648 papers

Papers per year

Papers

On-the-fly Denoising for Data Augmentation in Natural Language Understanding EACL 2024
Correcting Language Model Outputs by Editing Salient Layers EACL 2024
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks EMNLP 2024
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models EMNLP 2024
LongEmbed: Extending Embedding Models for Long Context Retrieval EMNLP 2024
Model Balancing Helps Low-data Training and Fine-tuning EMNLP 2024
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning EMNLP 2024
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 2024
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration EMNLP 2024
Focused Large Language Models are Stable Many-Shot Learners EMNLP 2024
Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation EMNLP 2024
Fast Forwarding Low-Rank Training EMNLP 2024
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting EMNLP 2024
Stable Language Model Pre-training by Reducing Embedding Variability EMNLP 2024
The Mystery of the Pathological Path-star Task for Language Models EMNLP 2024
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models EMNLP 2024
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers EMNLP 2024
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024
SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework EMNLP 2024
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training EMNLP 2024
Quantum Recurrent Architectures for Text Classification EMNLP 2024
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy EMNLP 2024
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models EMNLP 2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024
Memory-Efficient Fine-Tuning of Transformers via Token Selection EMNLP 2024