#CodeLLMs - Twitter Hashtag

Computational Linguistics Journal @CompLingJournal

6 months ago

Can Code-LLMs acquire better causal reasoning abilities? Do code prompts better describe the causal structure than text prompts? Liu et al explore how effective complex reasoning can be accomplished with code prompts. Read more at: https://t.co/c0gRY3WY7i #CodeLLMs #NLProc

CompLingJournal's tweet photo. Can Code-LLMs acquire better causal reasoning abilities? Do code prompts better describe the causal structure than text prompts?
Liu et al explore how effective complex reasoning can be accomplished with code prompts.

Read more at: https://t.co/c0gRY3WY7i
#CodeLLMs #NLProc https://t.co/uD5n43939U

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Prem

@premai_io

almost 2 years ago

The Current Landscape of Open Source #CodeLLMs Large Language Models ( #LLM ) are changing #codeintelligence by automating bug detection, code generation, and optimization. While proprietary solutions dominate, they limit access for indie developers. Open-source options like #DeepSeek-Coder and #Qwen 2.5-Coder are democratizing advanced code intelligence. Get the full guide: https://t.co/qgfFadjn8w

premai_io's tweet photo. The Current Landscape of Open Source #CodeLLMs

Large Language Models ( #LLM ) are changing #codeintelligence by automating bug detection, code generation, and optimization. While proprietary solutions dominate, they limit access for indie developers. Open-source options like #DeepSeek-Coder and #Qwen 2.5-Coder are democratizing advanced code intelligence.

Get the full guide: https://t.co/qgfFadjn8w

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Parallel Software and Systems Group @hpc_group

over 2 years ago

Inspired by the use of synthetic data in Magicoder, we finetune DeepSeek-Coder-6.7b with synthetically generated HPC code along with other synthetic data. Our synthetic parallel code dataset, HPC-Instruct can be found here: https://t.co/GSwhiMqzik #AI #CodeLLMs

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Fateme H Fard @FH_Fard

over 2 years ago

On my way to @ICSEconf. I will be giving a #technicalBreifing on #PEFT for #CodeLlms on April 18th, specifically reflecting on our works beyond empirical studies.

FH_Fard's tweet photo. On my way to @ICSEconf. I will be giving a #technicalBreifing on #PEFT for #CodeLlms on April 18th, specifically reflecting on our works beyond empirical studies. https://t.co/u1L2KGXAc6

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