conftrace_

training efficiency

60 papers

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Co-occurring keywords

model compression (3302) curriculum learning (633) large language model (13587) efficient computing (781) neural network optimization (1293) transformer architecture (1560) language model (4599) data efficiency (125) training optimization (27) neural machine translation (2310)

Papers

Improving Training Efficiency and Reducing Maintenance Costs via Language Specific Model Merging EACL 2026
Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency EMNLP 2025
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling ACL 2025
Scale Efficient Training for Large Datasets CVPR 2025
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025
Single layer tiny Co4 outpaces GPT-2 and GPT-BERT EMNLP 2025
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking AAAI 2025
One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning IJCNLP 2025
ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training EMNLP 2025
What to Distill? Fast Knowledge Distillation with Adaptive Sampling ICCV 2025
Beyond Fixed Length: Bucket Pre-training is All You Need IJCAI 2025
Reinforcement Learning-Guided Data Selection via Redundancy Assessment ICCV 2025
Improved Noise Schedule for Diffusion Training ICCV 2025
MT2ST: Adaptive Multi-Task to Single-Task Learning ACL 2025
FocusLLM: Precise Understanding of Long Context by Dynamic Condensing ACL 2025
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training ACL 2024
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation NIPS 2024
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing AAAI 2024
Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL EMNLP 2024
Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture CVPR 2024
Color-Oriented Redundancy Reduction in Dataset Distillation NIPS 2024
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NIPS 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NIPS 2024
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum NIPS 2024