Co-occurring keywords · papers mentioning both
Papers
Scaling, Simplification, and Adaptation: Lessons from Pretraining on Machine-Translated Text
EMNLP 2025
Scaling Trends for Data Poisoning in LLMs
AAAI 2025
Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
ICLR 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space?
EMNLP 2025
Surprising Effectiveness of pretraining Ternary Language Model at Scale
ICLR 2025
Temporal Scaling Law for Large Language Models
EMNLP 2025
Towards Precise Scaling Laws for Video Diffusion Transformers
CVPR 2025
Towards the Law of Capacity Gap in Distilling Language Models
ACL 2025
Towards the Roots of the Negation Problem: A Multilingual NLI Dataset and Model Scaling Analysis
EMNLP 2025
Training Bilingual LMs with Data Constraints in the Targeted Language
ACL 2025
Training compute-optimal transformer encoder models
EMNLP 2025
Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models
ACL 2025
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
ICLR 2025
YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model
ACL 2025
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
NeurIPS 2024
An Emulator for Fine-tuning Large Language Models using Small Language Models
ICLR 2024
A Recipe for Scaling up Text-to-Video Generation with Text-free Videos
CVPR 2024
Are Large Language Model Temporally Grounded?
NAACL 2024
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
NeurIPS 2024
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
ACL 2024
Differentiable Model Scaling using Differentiable Topk
ICML 2024
From Sparse to Soft Mixtures of Experts
ICLR 2024
I am a Strange Dataset: Metalinguistic Tests for Language Models
ACL 2024
LLM Circuit Analyses Are Consistent Across Training and Scale
NeurIPS 2024
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
NeurIPS 2024