Yu Su

@ysu_nlp

co-founder @NeoCognition | prof. @osunlp | building towards abundance of specialized intelligence

Columbus, OH

固定
Yu Su
@ysu_nlp
4月21日
Introducing @NeoCognition, the agent lab for specialized intelligence. Everyone needs experts, but human expertise does not scale. Backed by $40M seed funding, we build self-learning agents that specialize across domains to make expertise abundant.
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Yu Su
@ysu_nlp
11月10日
Impressive results from a small team
Geodesic Intelligence
@Geodesiclab
11月10日
Introducing NovaAtom-Lite, an all-atom structure prediction model for drug discovery. It predicts the structures of proteins, nucleic acids, and the molecules they bind, including how they fit together. NovaAtom-Lite outperforms both IsoDDE and AlphaFold 3 on FoldBench
3
Yu Su
@ysu_nlp
11月10日
- Looped LLM - Pretrained from scratch in an academic lab - Outperforms Qwen - Fully open One of the best open resources for looped transformers/LLMs
Yuekun Yao
@yuekun_yao
11月10日
Looped LLMs are heating up🔥. Open weights are becoming available, but the recipes to train these models remain hard to find. Introducing ARLoop, a family of strong, fully-open pretrained looped transformers with Attention Residuals! Our strongest model, ARLoop-1.2B, outperforms
2
Yu Su
@ysu_nlp
11月9日
small models will play a critical role in the future of knowledge work. Glad to see a strong contender.
Alexandr Wang
@alexandr_wang
11月9日
1/ announcing our smallest, most efficient little model is here: muse ember 🔥 built for work that agents repeat all day, it gets you more intelligence per dollar than Haiku, Luna, and all other flash models at any reasoning setting and does it at a third of the cost or less!
2
Yu Su
@ysu_nlp
11月6日
The highest avg rating in my ICLR'27 SAC batch (200+ subs) is 3 (= weak accept). that's kind of depressing.
6

Yu Su

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