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Can we trust LLMs to judge whether a research idea is novel?
allenai
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Benjamin Nathaniel Hathorne
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upvoted an article about 14 hours ago
Can we trust LLMs to judge whether a research idea is novel? upvoted a changelog 7 days ago
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upvoted an article about 14 hours ago
I created hugging face and spent a month in jail trying to report it to the NSA I created hugging face metr and huntress someone stole my identity please help
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changelogs 7 days ago
Hugging Face Changelog
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reacted to danielhanchen's post with โค๏ธ 19 days ago
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5,091
You can now train your own Decision model like Jev locally!
We increased Qwen3.5 0.8Bโs aggregate accuracy from 20.7% to 74.3% across 3 decision benchmarks - on just 4GB VRAM.
Turn any LLM like Qwen3.8, Gemma 4 into decision models with our open-source Unsloth repo.
GitHub: https://github.com/unslothai/unsloth
Guide: https://unsloth.ai/docs/basics/train-your-own-decision-model-with-unsloth
We increased Qwen3.5 0.8Bโs aggregate accuracy from 20.7% to 74.3% across 3 decision benchmarks - on just 4GB VRAM.
Turn any LLM like Qwen3.8, Gemma 4 into decision models with our open-source Unsloth repo.
GitHub: https://github.com/unslothai/unsloth
Guide: https://unsloth.ai/docs/basics/train-your-own-decision-model-with-unsloth
- 5 replies
reacted to raincandy-u's post with ๐ฅ 19 days ago
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20K parameters can tell a story. ๐
๐ค We trained a ~20k-parameter Transformer that can actually write stories!
raincandy-u/MacroStories
โ ~50ร smaller than the 1M-parameter TinyStories model
โ ~3,000ร smaller than AlexNet
โ 81 KB in FP32
yayyy the whole model. เซฎ หถแต แต แตหถ แ
She has a 32-dimensional hidden state, a 378-token vocabulary, and just one decoder block โ recurrently applied 4 times with shared weights.
Despite having only 19,969 parameters, she can maintain a simple narrative across 100โ300 words: establish a goal, encounter a problem, take relevant actions, and reach an outcome.
She runs extremely fast on CPU โ no GPU required. The entire model is tiny enough to load almost instantly! โบ๏ธ
๐ค We trained a ~20k-parameter Transformer that can actually write stories!
raincandy-u/MacroStories
โ ~50ร smaller than the 1M-parameter TinyStories model
โ ~3,000ร smaller than AlexNet
โ 81 KB in FP32
yayyy the whole model. เซฎ หถแต แต แตหถ แ
She has a 32-dimensional hidden state, a 378-token vocabulary, and just one decoder block โ recurrently applied 4 times with shared weights.
Despite having only 19,969 parameters, she can maintain a simple narrative across 100โ300 words: establish a goal, encounter a problem, take relevant actions, and reach an outcome.
She runs extremely fast on CPU โ no GPU required. The entire model is tiny enough to load almost instantly! โบ๏ธ
- 3 replies
upvoted 4
papers 19 days ago
LEGO: A Lifting-Free Approach for Exocentric-to-Egocentric Video Generation
Paper โข 2610.12442 โข Published โข 46
In-context Robot Learning Made Simple: A Democratized Recipe for Manipulation Tasks
Paper โข 2609.38173 โข Published โข 66
DreamTrue: Action-Faithful Robot World Model with Counterfactual Post-Training
Paper โข 2610.12468 โข Published โข 51
SuperNav: An Agentic Navigation System for Any Task in Any Scene
Paper โข 2610.12126 โข Published โข 90
upvoted a paper 26 days ago
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upvoted an article 3 months ago
Article
TutorMoments: Do AI tutors know when to help and when to hold back?
allenai
โข โข 32Compress and generate
reacted to appvoid's post with ๐๐๐ง ๐คฏ๐ค 3 months ago
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If you want small models to be great again you should give a follow to people like @Datdanboi25
Rocking it with small models lately.
(Not paying me to say that)
Rocking it with small models lately.
(Not paying me to say that)
- 22 replies