Collections
Discover the best community collections!
Collections trending this week
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FLM-101B: An Open LLM and How to Train It with $100K Budget
Paper • 2309.03852 • Published • 45 -
Extending LLMs' Context Window with 100 Samples
Paper • 2401.07004 • Published • 16 -
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
Paper • 2402.11550 • Published • 19 -
The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey
Paper • 2401.07872 • Published • 2
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Large Language Models as Optimizers
Paper • 2309.03409 • Published • 79 -
FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 30 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 123 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 31
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Large Language Models as Optimizers
Paper • 2309.03409 • Published • 79 -
FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 30 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 123 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 31
-
FLM-101B: An Open LLM and How to Train It with $100K Budget
Paper • 2309.03852 • Published • 45 -
Extending LLMs' Context Window with 100 Samples
Paper • 2401.07004 • Published • 16 -
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
Paper • 2402.11550 • Published • 19 -
The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey
Paper • 2401.07872 • Published • 2