Preprint2024
Training compute-optimal protein language models
Unknown
This paper explores optimal training strategies for protein language models, providing guidance on compute-efficient scaling in biological research.
0Jan 1, 2024
AI Research
AI & ML Research Papers
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4 papersPreprintarXiv.org2025
Rethinking Compute-Optimal Test-Time Scaling
Runze Liu, Junqi Gao, Jian Zhao, et al.
This paper investigates compute-optimal test-time scaling for LLMs, showing that smaller models with optimal TTS can outperform much larger ones.
152Feb 1, 2025Large Language ModelsScaling Laws
arXiv
Preprint2023
SoViT
Unknown
SoViT introduces compute-optimal shape scaling for vision transformers, achieving performance of models twice its size with equivalent compute.
0May 1, 2023TransformersComputer Vision
arXiv
Preprint2026
AgentTTS: Large language model agent for test-time compute-optimal scaling strategy in complex tasks
Unknown
AgentTTS introduces an LLM agent that integrates prior insights to achieve compute-optimal scaling for test-time allocation in complex tasks.
0Jan 1, 2026Large Language ModelsScaling Laws