Hanane Nour Moussa

Yuekun Yao Verified account @yuekun_yao · 2d

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 both Huginn-3.5B, a prior fully open looped LLM, and Qwen3.5-2B Base on evaluated benchmarks across commonsense reasoning, math, and coding.

We release the full recipe: from data preparation and model training to intermediate checkpoints and evaluation code. ⤵️

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Huan Sun Verified account @hhsun1 · Oct 27

Getting papers published probably won’t excite you anymore, but getting paper awards still do, especially THREE paper awards from #EMNLP2026 and a #NeurIPS2026 workshop on the same day @osunlp! Thrilled to share:

SkillHarm, led by @yuting_ning and @Zhehao_Zhang123, gets an Outstanding Paper Award at #EMNLP2026. I particularly like that SkillHarm introduces a new attack scenario, named Self-Mutating Poisoning (SMP), where an initially benign execution silently mutates persistent skill content that defers harm until a later reuse.

D3-Gym (co-led by @HananeNMoussa and @YifeiLiPKU) gets an Outstanding Paper Award at #EMNLP2026. D3-Gym has received a lot of interest from startups that aim to create scientific tasks and environments to train agents for scientific discovery. I particularly like that my students choose to stay with me rather than quitting Ph.D. to make big money! ;-)

AgentCL (led by @YihengShu) was selected for a Runner-up Paper Award at the #NeurIPS2026 Workshop on Towards Test-Time Continual Learning Agents (TTCL)! Check out our attempt to rigorously evaluate continual learning in language agents.

Congratulations to all co-authors and collaborators!

See our original posts for details:

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Hanane Nour Moussa Verified account @HananeNMoussa · May 1

Gym environments have played a key role in advancing LMs and agents for general coding tasks. But how do we build them for scientific coding?

Introducing D3-Gym, the first automatically constructed dataset of verifiable environments for data-driven scientific discovery. 🧵

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