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Akari Asai

@AkariAsai • 23,666 subscribers

Assistant Professor @SCSatCMU & research scientist @allen_ai

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1/ Introducing ᴏᴘᴇɴꜱᴄʜᴏʟᴀʀ: a retrieval-augmented LM to help scientists synthesize knowledge 📚 UW NLP Ai2 With open models & 45M-paper datastores, it outperforms proprietary systems & match human experts. Try out our demo! We also introduce ꜱᴄʜᴏʟᴀʀQᴀʙᴇɴᴄʜ, a new large-scale multi-domain benchmark for scientific research synthesis, covering CS, Bio and Physics.
2:29
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1/ Introducing ᴏᴘᴇɴꜱᴄʜᴏʟᴀʀ: a retrieval-augmented LM to help scientists synthesize knowledge 📚 UW NLP Ai2 With open models & 45M-paper datastores, it outperforms proprietary systems & match human experts. Try out our demo! We also introduce ꜱᴄʜᴏʟᴀʀQᴀʙᴇɴᴄʜ, a new large-scale multi-domain benchmark for scientific research synthesis, covering CS, Bio and Physics.

Akari Asai

249,765 просмотров • 1 год назад

Introducing Self-RAG, a new easy-to-train, customizable, and powerful framework for making an LM learn to retrieve, generate, and critique its own outputs and retrieved passages, by using model-predicted reflection tokens. 📜: 🌐:
0:29
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Introducing Self-RAG, a new easy-to-train, customizable, and powerful framework for making an LM learn to retrieve, generate, and critique its own outputs and retrieved passages, by using model-predicted reflection tokens. 📜: 🌐:

Akari Asai

170,979 просмотров • 3 лет назад

Deep research needs long-form, well-attributed answers, not just short-form QA. DR-Tulu 8B is a fully open deep-research agent trained end-to-end with RL + Evolving Rubrics, rivaling closed DR systems (eg OpenAI DR) across domains - using just 8B and nearly zero API cost. 🚀
1:01
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Deep research needs long-form, well-attributed answers, not just short-form QA. DR-Tulu 8B is a fully open deep-research agent trained end-to-end with RL + Evolving Rubrics, rivaling closed DR systems (eg OpenAI DR) across domains - using just 8B and nearly zero API cost. 🚀

Akari Asai

15,345 просмотров • 11 месяцев назад

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