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Breaking the opacity of language models for legal professionals 📖 Join us by smashing the button at top right 🤗

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1aurent  authored a paper 5 days ago
Ministral 3
alokabhishek  submitted a paper 5 days ago
SHARP: Social Harm Analysis via Risk Profiles for Measuring Inequities in Large Language Models
alokabhishek  authored a paper 10 days ago
SHARP: Social Harm Analysis via Risk Profiles for Measuring Inequities in Large Language Models
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AdinaY 
posted an update 3 days ago
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2610
MiniMax M2.5 is now available on the hub 🚀

MiniMaxAI/MiniMax-M2.5

✨ 229B - Modified MIT license
✨37% faster than M2.1
✨ ~$1/hour at 100 TPS
  • 1 reply
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AdinaY 
posted an update 4 days ago
umarbutler 
posted an update 4 days ago
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5013
What happens when you annotate, extract, and disambiguate every entity mentioned in the longest U.S. Supreme Court decision in history? What if you then linked those entities to each other and visualized it as a network?

This is the result of enriching all 241 pages and 111,267 words of Dred Scott v. Sandford (1857) with Kanon 2 Enricher in less than ten seconds at the cost of 47 cents.

Dred Scott v. Sandford is the longest U.S. Supreme Court decision by far, and has variously been called "the worst Supreme Court decision ever" and "the Court's greatest self-inflicted wound" due to its denial of the rights of African Americans.

Thanks to Kanon 2 Enricher, we now also know that the case contains 950 numbered paragraphs, 6 footnotes, 178 people mentioned 1,340 times, 99 locations mentioned 1,294 times, and 298 external documents referenced 940 times.

For an American case, there are a decent number of references to British precedents (27 to be exact), including the Magna Carta (¶ 928).

Surprisingly though, the Magna Carta is not the oldest citation referenced. That would be the Institutes of Justinian (¶ 315), dated around 533 CE.

The oldest city mentioned is Rome (founded 753 BCE) (¶ 311), the oldest person is Justinian (born 527 CE) (¶ 314), and the oldest year referenced is 1371, when 'Charles V of France exempted all the inhabitants of Paris from serfdom' (¶ 370).

All this information and more was extracted in 9 seconds. That's how powerful Kanon 2 Enricher, my latest LLM for document enrichment and hierarchical graphitization, is. If you'd like to play with it yourself now that it's available in closed beta, you can apply to the Isaacus Beta Program here: https://isaacus.com/beta.
AdinaY 
posted an update 5 days ago
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2478
Game on 🎮🚀

While Seedance 2.0’s videos are all over the timeline, DeepSeek quietly pushed a new model update in its app.

GLM-5 from Z.ai adds more momentum.

Ming-flash-omni from Ant Group , MiniCPM-SALA from OpenBMB
, and the upcoming MiniMax M2.5 keep the heat on 🔥

Spring Festival is around the corner,
no one’s sleeping!

✨ More releases coming, stay tuned
https://huggingface.co/collections/zh-ai-community/2026-february-china-open-source-highlights
AdinaY 
posted an update 5 days ago
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3736
Ming-flash-omni 2.0 🚀 New open omni-MLLM released by Ant Group

inclusionAI/Ming-flash-omni-2.0

✨ MIT license
✨ MoE - 100B/6B active
✨ Zero-shot voice cloning + controllable audio
✨ Fine-grained visual knowledge grounding
  • 2 replies
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1aurent 
authored a paper 5 days ago
alokabhishek 
submitted a paper to Daily Papers 5 days ago
AdinaY 
posted an update 7 days ago
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593
LLaDA 2.1 is out 🔥 A new series of MoE diffusion language model released by AntGroup

inclusionAI/LLaDA2.1-mini
inclusionAI/LLaDA2.1-flash

✨LLaDA2.1-mini: 16B - Apache2.0
✨LLaDA2.1-flash: 100B - Apache2.0
✨Both delivers editable generation, RL-trained diffusion reasoning and fast inference
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alokabhishek 
authored a paper 10 days ago
AdinaY 
posted an update 12 days ago
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2488
AI for science is moving fast🚀

Intern-S1-Pro 🔬 a MoE multimodal scientific reasoning model from Shanghai AI Lab

internlm/Intern-S1-Pro

✨ 1T total / 22B active
✨ Apache 2.0
✨ SoTA scientific reasoning performance
✨ FoPE enables scalable modeling of long physical time series (10⁰–10⁶)
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AdinaY 
posted an update 13 days ago
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1309
✨ China’s open source AI ecosystem has entered a new phase

https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3

One year after the “DeepSeek Moment,” open source has become the default. Models, research, infrastructure, and deployment are increasingly shared to support large-scale, system-level integration.

This final blog examines how leading Chinese AI organizations are evolving ,and what this implies for the future of open source.
AdinaY 
posted an update 13 days ago
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346
GLM just entered the OCR field🔥

zai-org/GLM-OCR

✨ 0.9B
✨ MIT licensed
✨ Multimodal GLM-V architecture
✨ #1 on OmniDocBench v1.5 (94.62)
AdinaY 
posted an update 14 days ago
AdinaY 
posted an update 18 days ago
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1099
What a week 🤯

Following DeepSeek, Kimi, Qwen, Baidu, and Ant Group, Unitree Robotics
has now released a VLA model on the hub too!

unitreerobotics/UnifoLM-VLA-Base
AdinaY 
posted an update 19 days ago
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282
LongCat-Flash-Lite🔥 a non-thinking MoE model released by Meituan LongCat team.

meituan-longcat/LongCat-Flash-Lite

✨ Total 68.5B / 3B active - MIT license
✨ 256k context
✨ Faster inference with N-gram embeddings
AdinaY 
posted an update 19 days ago
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266
Ant Group is going big on robotics 🤖

They just dropped their first VLA and depth perception foundation model on huggingface.

✨ LingBot-VLA :
- Trained on 20k hours of real-world robot data
- 9 robot embodiments
- Clear no-saturation scaling laws
- Apache 2.0

Model: https://huggingface.co/collections/robbyant/lingbot-vla
Paper:
A Pragmatic VLA Foundation Model (2601.18692)

✨ LingBot-Depth:
- Metric-accurate 3D from noisy, incomplete depth
- Masked Depth Modeling (self-supervised)
- RGB–depth alignment, works with <5% sparse depth
- Apache 2.0

Model: https://huggingface.co/collections/robbyant/lingbot-depth
Paper:
Masked Depth Modeling for Spatial Perception (2601.17895)
AdinaY 
posted an update 20 days ago
AdinaY 
submitted a paper to Daily Papers 20 days ago
AdinaY 
posted an update 20 days ago
AdinaY 
posted an update 20 days ago
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894
Kimi K2.5 from Moonshot AI is more than just another large model🤯

https://huggingface.co/collections/moonshotai/kimi-k25

✨ Native multimodality : image + video + language + agents 💥
✨1T MoE / 32B active
✨ 256K context
✨ Modified MIT license
✨ Agent Swarm execution
✨ Open weights + open infra mindset
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