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@syhw

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19.11.2024
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Latest posts by @syhw

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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 ...

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...

26.02.2025 19:00 👍 2 🔁 0 💬 0 📌 0
ZML x FFmpeg
ZML x FFmpeg YouTube video by Steeve Morin

EnCodec running in ffmpeg www.youtube.com/watch?v=5wlN...

02.01.2025 09:37 👍 1 🔁 0 💬 0 📌 0

Awesome work @kjain14.bsky.social!

19.12.2024 21:38 👍 1 🔁 0 💬 0 📌 0
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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....

19.12.2024 20:59 👍 17 🔁 7 💬 1 📌 1
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That's a wrap #neurips2024

16.12.2024 16:55 👍 0 🔁 0 💬 0 📌 0
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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...

arxiv.org/abs/2410.08806

15.12.2024 22:37 👍 1 🔁 1 💬 1 📌 0
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Don't transform the code, code the transform ! By Chris Cummins at #neurips2024

15.12.2024 22:37 👍 2 🔁 0 💬 1 📌 0
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[NeurIPS HackerCup 2024] Grounding LLMs in Code Execution Grounding LLMs in Code Execution Gabriel Synnaeve, Meta, FAIR

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...

14.12.2024 19:10 👍 22 🔁 4 💬 1 📌 0

Gonna be at NeurIPS starting tomorrow afternoon. See you there, in particular if you want to talk about codegen and (post-)LLM research!

09.12.2024 23:03 👍 3 🔁 1 💬 0 📌 0

> 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.

29.11.2024 09:28 👍 1 🔁 0 💬 0 📌 0
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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]

24.11.2024 11:05 👍 273 🔁 34 💬 5 📌 5