Excited to share our paper “Unlocking Legal Knowledge” was accepted at #EMNLP2025! 🎉 We introduce a 🇨🇭 dataset of 20K Supreme Court cases (German, French, Italian) with trilingual summaries + benchmarks. Dataset & models: https://t.co/A1UihA3sOn Preprint: https://t.co/p2YgkO6IyK
I am happy to share our new work "Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland".
This is joint work with @xenothym, Vishvaksenan Rasiah, Srinanda Brügger Bose and @maemst.
🧵👇 1/7
I'm excited to announce that my new popular science book will be out on September 24! It's published by @mitpress in their Essential Knowledge Series, so it's short and aimed at a broad audience, assuming no technical knowledge. The topic is Artificial General Intelligence, or AGI: are we there yet? How could we get there? And what does general intelligence even mean?
Along the way, there's some history of AI, some theories of intelligence, quick excursions into philosophy of mind and evolutionary biology, and plenty of sci-fi references. There's also a discussion about how we as a society could make use of more generally capable AI. Exciting!
Spoiler alert: while I try to represent arguments fairly, I come down pretty strongly against scaremongering, doom scenarios, and excessive regulation.
I'm quite proud of this little book. Would you please do me a favor and pre-ordering it? Buy one copy for yourself and two for your parents!
(And please reshare/retweet, thanks!)
We release LeoLM, a series of German speaking chat models based on Lama 2 7b and 13b. They preserve their ability to understand english text. We also also versions that can reply in English and in German & perform translation between these languages: https://t.co/o4n7dy0gWz
The famed Stanford Smallville is officially open-source!
25 AI agents inhabit a digital Westworld, unaware that they are living in a simulation. They go to work, gossip, organize socials, make new friends, and even fall in love. Each has unique personality and backstory.
Smallville is among the most inspiring AI agent experiments in 2023. We often talk about a single LLM's emergent abilities, but multi-agent emergence could be way more complex and fascinating at scale. A population of AI can play out the evolution of an entire civilization.
Endless new possibilities ahead. Gaming will be the first to feel the impact.
Github: https://t.co/xUll7KaaTp
Paper: https://t.co/PMDQysrOz9
Authors: @joon_s_pk@joseph_c_obrien@carriejcai@merrierm@percyliang@msbernst
Yay, llama2.c can now load and inference the Meta released models! :) E.g. here inferencing the smallest 7B model at ~3 tokens/s on 96 OMP threads on a cloud Linux box. Still just CPU, fp32, one single .c file of 500 lines: https://t.co/CUoF0l07oX
expecting ~300 tok/s tomorrow :)
The Adam optimizer is at the heart of modern AI. Researchers have been trying to dethrone Adam for years.
How about we ask a machine to do a better job? @GoogleAI uses evolution to discover a simpler & efficient algorithm with remarkable features.
It’s just 8 lines of code: 🧵