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syhw.bsky.social

@syhw.bsky.social
149 followers 33 following 9 posts
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syhw.bsky.social @syhw.bsky.social · 26/02/2025
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution arxiv.org/abs/2502.18449 by Yuxiang, Sida, and the whole team! Get started with your favorite model here github.com/facebookrese...
arxiv.org
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
The recent DeepSeek-R1 release has demonstrated the immense potential of reinforcement learning (RL) in enhancing the general reasoning capabilities of large language models (LLMs). While DeepSeek-R1 ...
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syhw.bsky.social @syhw.bsky.social · 02/01/2025
EnCodec running in ffmpeg www.youtube.com/watch?v=5wlN...
youtube.com
ZML x FFmpeg
YouTube video by Steeve Morin
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syhw.bsky.social @syhw.bsky.social · 19/12/2024
Awesome work @kjain14.bsky.social!
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Reposted by @syhw.bsky.social
Kush Jain @kjain14.bsky.social · 19/12/2024
Thrilled to announce our new work TestGenEval, a benchmark that measures unit test generation and test completion capabilities. This work was done in collaboration with the FAIR CodeGen team. Preprint: arxiv.org/abs/2410.00752 Leaderboard: testgeneval.github.io/leaderboard....
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syhw.bsky.social @syhw.bsky.social · 16/12/2024
That's a wrap #neurips2024
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syhw.bsky.social @syhw.bsky.social · 15/12/2024
arxiv.org/abs/2410.08806
arxiv.org
Don't Transform the Code, Code the Transforms: Towards Precise Code Rewriting using LLMs
Tools for rewriting, refactoring and optimizing code should be fast and correct. Large language models (LLMs), by their nature, possess neither of these qualities. Yet, there remains tremendous opport...
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syhw.bsky.social @syhw.bsky.social · 15/12/2024
Don't transform the code, code the transform ! By Chris Cummins at #neurips2024
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syhw.bsky.social @syhw.bsky.social · 14/12/2024
Just gave a talk on "Grounding LLMs in Code Execution" at the NeurIPS Hacker-Cup AI Competition, here are the slides docs.google.com/presentation...
docs.google.com
[NeurIPS HackerCup 2024] Grounding LLMs in Code Execution
Grounding LLMs in Code Execution Gabriel Synnaeve, Meta, FAIR
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syhw.bsky.social @syhw.bsky.social · 09/12/2024
Gonna be at NeurIPS starting tomorrow afternoon. See you there, in particular if you want to talk about codegen and (post-)LLM research!
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syhw.bsky.social @syhw.bsky.social · 29/11/2024
> Quality is free, but only to those willing to pay heavily for it. > The major problems of our work are not so much technological as sociological in nature. > Get the best people (cut out the deadwood), and make them happy. Turn them loose.
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Reposted by @syhw.bsky.social
Thomas Wolf @thomwolf.bsky.social · 24/11/2024
It's Sunday morning so taking a minute for a nerdy thread (on math, tokenizers and LLMs) of the work of our intern Garreth By adding a few lines of code to the base Llama 3 tokenizer, he got a free boost in arithmetic performance 😮 [thread]
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