-
In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs Miss
Paper • 2402.10790 • Published • 42 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 63 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 78
Gabriel Pendl
jompaaa
AI & ML interests
None yet
Recent Activity
liked
a model
3 days ago
google/embeddinggemma-300m
liked
a model
22 days ago
LiquidAI/LFM2-ColBERT-350M
liked
a model
about 1 month ago
deepseek-ai/DeepSeek-V3.2-Exp
Organizations
-
In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs Miss
Paper • 2402.10790 • Published • 42 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 63 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 78
datasets
0
None public yet