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Haau-Sing Li 李 效丞
@LHaausing
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Research intern @tiktok_us. PhD candidate @ELLISforEurope @UKPLab @sardine_lab_it. Code gen, inference, reasoning. Prev @NYUDataScience, @RenminUniv.
Darmstadt 🇩🇪 & Lisbon 🇵🇹
Joined January 2020
1/12 📢New paper alert “DOCE: Finding the Sweet Spot for Execution-Based Code Generation” The work is a group effort with @psanfernandes, @IGurevych, and @andre_t_martins. @UKPLab @Lisbon_ELLIS @deep_spin 📰:
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Also huge shoutout to my amazing supervisors @IGurevych and @andre_t_martins for their support and wisdom. Wouldn’t be possible without you guys, and more exciting things will come.
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RT @andre_t_martins: 2) We have a spotlight poster in the main conference, “Reranking Laws for Language Generation: A Communication-Theoret…
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@apsdehal Do you provide visa sponsorship? Would be nice to work with you as I think I work on things super related to what you do but I need sponsorship.
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@gan_chuang DOCE: Finding the Sweet Spot for Execution-Based Code Generation (the first unified inference framework for code gen, I presume strongly correlated to reasoning :) )
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@LucileSaulnier @MistralAI Hi! I applied for the PhD research internship, can I message you for a discussion about that?
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@mialon_gregoire @MekalaDheeraj Hi Grégoire! I'm interested in this position and have submitted my application. We recently have papers published (at NeurIPS 2024 spotlight)/in submission ( , see if that interests you!
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@natolambert Quite a lot of times I ever tried to look for seemingly nice reward models/synthetic data as well, the only GitHub page I found is the repo of e.g. vLLM
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@mrdrozdov We have some more exploration using more up-to-date LLMs, with more methods. A shameless plug but we also got quite some interesting findings
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@pascalefung Thanks for the info! I am working on topics that are related, where should I apply?
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