A Survey on Data Selection for Language Models
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2402.16827
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Published
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4
TOREAD
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Instruction Tuning with Human Curriculum
Paper • 2310.09518 • Published • 3 -
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Paper • 2312.05934 • Published • 1 -
Language Models as Agent Models
Paper • 2212.01681 • Published -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 49 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 136 -
Polaris: A Safety-focused LLM Constellation Architecture for Healthcare
Paper • 2403.13313 • Published • 2 -
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
Paper • 2401.02731 • Published • 2 -
On the Measure of Intelligence
Paper • 1911.01547 • Published -
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Paper • 2405.05904 • Published • 6 -
A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers
Paper • 2405.10936 • Published • 1 -
Human-like Episodic Memory for Infinite Context LLMs
Paper • 2407.09450 • Published • 60 -
MUSCLE: A Model Update Strategy for Compatible LLM Evolution
Paper • 2407.09435 • Published • 21 -
The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines
Paper • 2408.01050 • Published • 8 -
OpenResearcher: Unleashing AI for Accelerated Scientific Research
Paper • 2408.06941 • Published • 30 -
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Paper • 2408.06292 • Published • 117 -
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Paper • 2408.02085 • Published • 17 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 53