Recordings of the NeSy 2025 keynotes are now available! 🎥 Check out insightful talks from @guyvdb , @tkipf and @dlmcguinness on our new Youtube channel. Topics include using symbolic reasoning for LLM, and object-centric representations https://t.co/iIHdKTr432

I gave a keynote at @nesyconf on "Symbolic Reasoning in the Age of Large Language Models" Check out the recording if you are curious about neurosymbolic generative AI: https://t.co/VUUJD4vdYB

What happens when we compress the KV cache of prompts with multiple instructions? 🤔 Existing compression methods can lead to some instructions being ignored. 🙀 We propose simple changes to KV cache eviction that fix this problem alongside other pitfalls to be aware of. 💯

Plan autoregressively, denoise in parallel!

Diffusion 🤝 Autoregressive Fast high-quality generation

"An hour of planning can save you 10 hours of doing." ✨📝 Planned Diffusion 📝 ✨ makes a plan before parallel dLLM generation. Planned Diffusion runs 1.2-1.8× faster than autoregressive and an order of magnitude faster than diffusion, while staying within 0.9–5% AR quality.

🔦Adaptive Parallel Decoding (APD) has been accepted as a spotlight paper at @NeurIPSConf ! I thank my collaborators, reviewers, and program organizers for this honor. A thread for those interested 🧵 (1/n)

@e_giunchiglia @guyvdb How can reverend Bayes help us to incorporate constraints? With NeSy of course 👀 With applications in non-toxic LLM generation and safe AI driving! @guyvdb

@e_giunchiglia Now, @guyvdb is giving the opening keynote arguing why symbolic AI is still relevant in the age of LLMs... With the help of Shrek!

@e_giunchiglia @guyvdb Behind all of these very nice methods are one central trick... Circuits! ➕✖️ These are tractable generative neural networks 😍

Watch out @PyTorch 👀👀 You got competition here. Awesome work and talk by @guyvdb

It is almost time to welcome you all in Santa Cruz! 🦕 We will start with an exciting and timely keynote by @guyvdb on "Symbolic Reasoning in the Age of Large Language Models" 👀

#Nesy2025 schedule is out! Keynote speakers include @guyvdb @tkipf @dlmcguinness and @GaryMarcus. I'm looking forward to seeing what everyone's cooking and meeting everyone! @nesyconf https://t.co/5AS6shaNoH

Wish LM could plan—not just guess the next word? TRACE lets LM see all endings before each move. – Global control at inference time – Tractable lookahead via an HMM LM-proxy – Linear classifier per constraint Outperform RL, DPO, FUDGE—at just +20% decoding over base LM. #ICML2025

Had the pleasure of learning about TRACE by Gwen Yidou-Weng, Benjie Wang, and @guyvdb at ICML! It view alignment/controlled decoding through a Bayesian lens and derives a simple, principled, and effective new method. I highly recommend reading this paper!

🚨 First Call for Participation – NeSy 2025 📍 Sept 8–10 | Santa Cruz, CA Join the longest-running conference on neurosymbolic AI! Our keynote speakers: @guyvdb , @tkipf , @dlmcguinness , @GaryMarcus More info 👇

Announcing the 2025 IJCAI Computers and Thought Award winner ✨Aditya Grover @adityagrover_, @InceptionAILabs @UCLA. Dr. Grover is honored for uniting deep generative models, representation learning & RL to advance scientific reasoning. Congratulations! https://t.co/Z3xESFizpi

Accelerating Diffusion LLMs via Adaptive Parallel Decoding "We therefore introduce adaptive parallel decoding (APD), a novel method that dynamically adjusts the number of tokens sampled in parallel." "Notably, Dream with ADP surpasses the speed of autoregressive Qwen 7B and