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Pierre Chambon @pierrechambon.bsky.social · 16/04/2025

Llama 4 results out on ✨BigO(Bench)✨! Llama 4 Maverick is top 4 all@1 on Time Complexity Generation and top 2🥈coeffFull on Time Complexity Ranking (beating R1, though not using any reasoning tokens). The model is less performant on Space Complexity. 👇All links below👇

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Pierre Chambon @pierrechambon.bsky.social · 10/04/2025

✨BigO(Bench)✨ Leaderboard Update! 3 models added to our benchmark: 🏆 nvidia/Llama-3_1-Nemotron-Ultra-253B-v1 🧑‍💻 agentica-org/DeepCoder-14B-Preview 🤲 all-hands/openhands-lm-32b-v0.1 Thanks @vllm_project and @huggingface for quickly supporting inference! 👇All links below👇

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Pierre Chambon @pierrechambon.bsky.social · 03/04/2025

🔥Very happy to introduce BigO(Bench) dataset on @hf.co 🤗 ✨3,105 coding problems and 1,190,250 solutions from CodeContests ✨Time/Space Complexity labels and curve coefficients ✨Up to 5k Runtime/Memory Footprint measures for each solution huggingface.co/datasets/fac...

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Pierre Chambon @pierrechambon.bsky.social · 27/03/2025

New leaderboard for ✨BigO(Bench)✨! 🥇Qwen QwQ new SOTA on Complexity Generation/Ranking 🥈DeepseekV3-0324 on par with reasoning models! 🥉Gemma3 strong on Complexity Prediction 💻Github: github.com/facebookresearch/bigobench 🏆Leaderboard: facebookresearch.github.io/BigOBench/leaderboard.html 🧵1/6

github.com

GitHub - facebookresearch/BigOBench: BigOBench assesses the capacity of Large Language Models (LLMs) to comprehend time-space computational complexity of input or generated code.

BigOBench assesses the capacity of Large Language Models (LLMs) to comprehend time-space computational complexity of input or generated code. - facebookresearch/BigOBench

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Pierre Chambon @pierrechambon.bsky.social · 20/03/2025

Does your LLM truly comprehend the complexity of the code it generates? 🥰 Introducing our new non-saturated (for at least the coming week? 😉) benchmark: ✨BigO(Bench)✨ - Can LLMs Generate Code with Controlled Time and Space Complexity? Check out the details below !👇

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