conftrace_

model scaling

135 papers

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Co-occurring keywords

large language model (13587) language model (4599) scaling law (120) mixture of expert (640) neural network optimization (1293) vision transformer (1106) transfer learning (5449) neural network (6616) model compression (3302) parameter efficiency (417)

Papers

Scaling and Transferability of Annealing Strategies in Large Language Model Training AAAI 2026
OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo AAAI 2026
Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? AAAI 2026
Scalable Vision Language Model Training via High Quality Data Curation ACL 2025
Byte Latent Transformer: Patches Scale Better Than Tokens ACL 2025
IAM: Efficient Inference through Attention Mapping between Different-scale LLMs ACL 2025
Towards the Roots of the Negation Problem: A Multilingual NLI Dataset and Model Scaling Analysis EMNLP 2025
Training compute-optimal transformer encoder models EMNLP 2025
PALO: A Polyglot Large Multimodal Model for 5B People WACV 2025
Training Bilingual LMs with Data Constraints in the Targeted Language ACL 2025
Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation CVPR 2025
YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025
LESA: Learnable LLM Layer Scaling-Up ACL 2025
Towards the Law of Capacity Gap in Distilling Language Models ACL 2025
Do Large Language Models Mirror Cognitive Language Processing? COLING 2025
Scaling Trends for Data Poisoning in LLMs AAAI 2025
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions EMNLP 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
ECF-YOLOv7-Tiny: Improving Feature Fusion and the Receptive Field for Lightweight Object Detectors WACV 2025
Temporal Scaling Law for Large Language Models EMNLP 2025
Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval EMNLP 2025
Scaling and Taming Adversarial Training with Synthetic Data ICCV 2025
Inference Compute-Optimal Video Vision Language Models ACL 2025
Layer Duplication in LLMs EMNLP 2025
Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models ACL 2025