conftrace_

model scaling

135 papers

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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

Layer Duplication in LLMs EMNLP 2025
LESA: Learnable LLM Layer Scaling-Up ACL 2025
Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval EMNLP 2025
Temporal Scaling Law for Large Language Models EMNLP 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
Scaling and Taming Adversarial Training with Synthetic Data ICCV 2025
Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs EMNLP 2025
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? NIPS 2024
On the Scalability of Diffusion-based Text-to-Image Generation CVPR 2024
On Feature Learning in Structured State Space Models NIPS 2024
A Recipe for Scaling up Text-to-Video Generation with Text-free Videos CVPR 2024
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers NIPS 2024
I am a Strange Dataset: Metalinguistic Tests for Language Models ACL 2024
Are Large Language Model Temporally Grounded? NAACL 2024
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models ACL 2024
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations NIPS 2024
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling NAACL 2024
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling NIPS 2024
Scaling Instruction-Finetuned Language Models JMLR 2024
Multi-Head Mixture-of-Experts NIPS 2024
Transformer verbatim in-context retrieval across time and scale CONLL 2024
On Scaling Up a Multilingual Vision and Language Model CVPR 2024
Scaling White-Box Transformers for Vision NIPS 2024
On the Scaling Laws of Geographical Representation in Language Models COLING 2024
Tokenization Falling Short: On Subword Robustness in Large Language Models EMNLP 2024