Haau-Sing Li 李 效丞 @LHaausing
PhD candidate @ELLISforEurope @UKPLab @sardine_lab_it. CodeAI. Prev @tiktok_us @NYUDataScience, @RenminUniv. lhaausing.github.io Darmstadt 🇩🇪 & Lisbon 🇵🇹 Joined January 2020-
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Haau-Sing Li 李 效丞 retweeted
🚀 New blog: ModularRSI: Toward Generalizable Harness RSI Can agents truly improve their harnesses—or just overfit to benchmarks? We study Harness RSI through one lens: generalization beyond evolution experience. 🧵 Blog: recursive-self-improvement.notion.site/blog-1-modular…
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Haau-Sing Li 李 效丞 retweeted
LoopCoder-v2 is out 🚀 Loop Transformers reuse the same block for recurrent hidden-state refinement — letting models “think” more without simply stacking more layers. We study how many loops are actually worth it in Parallel Loop Transformers. 📜huggingface.co/papers/2606.18…
@Xianbao_QIAN Impressive performance when deployed for HTML/SVG services even when just on a 14B model.
@SinclairWang1 We received very similar comments! We put "software engineering" and "analysis" there for keywords, with justifications already in the paper (intro and more), yet "lacks novelty" still appears for all reviewers. Guess a good rebuttal has to go right? @COLM_conf 🤔
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.
Haau-Sing Li 李 效丞 retweeted
2) We have a spotlight poster in the main conference, “Reranking Laws for Language Generation: A Communication-Theoretic Perspective” with @tozefarinhas and @LHaausing (Thursday Dec 12 11:00-14:00).
@a_stadt Was going to say I can review one but seems it’s going well!☺️
@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.
@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 :) ) arxiv.org/pdf/2408.13745
@LucileSaulnier @MistralAI Hi! I applied for the PhD research internship, can I message you for a discussion about that?
@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 (x.com/LHaausing/stat…, x.com/LHaausing/stat…), see if that interests you!
#NeurIPS2024 spotlight accepted. Congrats all! @tozefarinhas @andre_t_martins
@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
@ssgrn Interested, and super related to what I’m working on! DM sent
@natolambert During inference specifically
@natolambert A shameless plug, but yeah we also found execution feedback quite important arxiv.org/abs/2408.13745
@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 arxiv.org/abs/2408.13745
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