QLoRA: Efficient Finetuning of Quantized LLMs (arxiv.org)

Screenshot of arxiv.org: QLoRA: Efficient Finetuning of Quantized LLMs

First screen, captured 3 years ago.

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Screenshot of arxiv.org: SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs

SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs (arxiv.org)

25 points by PaulHoule 1 year ago | 5 comments

Screenshot of arxiv.org: LoRA Learns Less and Forgets Less

LoRA Learns Less and Forgets Less (arxiv.org)

169 points by wolecki 2 years ago | 59 comments

Screenshot of arxiv.org: MemGPT: Towards LLMs as Operating Systems

MemGPT: Towards LLMs as Operating Systems (arxiv.org)

203 points by belter 3 years ago | 105 comments

Screenshot of arxiv.org: SparseLoCo: Communication-Efficient LLM Training

SparseLoCo: Communication-Efficient LLM Training (arxiv.org)

11 points by synapz_org 1 year ago | 1 comments

Screenshot of arxiv.org: Some critical issues with the SWE-bench dataset

Some critical issues with the SWE-bench dataset (arxiv.org)

331 points by joshwa 1 year ago | 113 comments

arXiv paper introducing SWE-Bench+, an empirical analysis revealing data quality issues in the SWE-bench coding benchmark for LLMs, such as solution leakage and weak tests.

swe-bench llm-benchmarks code-generation gpt-4

Screenshot of arxiv.org: Matryoshka Representation Learning

Matryoshka Representation Learning (arxiv.org)

71 points by fzliu 2 years ago | 10 comments

Looks similar

SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs(arxiv.org)

LoRA Learns Less and Forgets Less(arxiv.org)

MemGPT: Towards LLMs as Operating Systems(arxiv.org)

SparseLoCo: Communication-Efficient LLM Training(arxiv.org)

Some critical issues with the SWE-bench dataset(arxiv.org)

Matryoshka Representation Learning(arxiv.org)