📅 You can find me at the following presentations:

- Poster Session 1 East #4009 on Wednesday, December 11, from 11a-2p PST.
- System 2 Reasoning Workshop Spotlight Oral Talk on Sunday, December 15, from 9:30-10a PST.
- System 2 Reasoning Workshop poster sessions on Sunday, December 15.

📈DTM and sDTM operate on trees, and we introduce a very simple and dataset independent method to embed sequence inputs and outputs as trees. Across a variety of datasets and test time distributional shifts, sDTM outperforms fully neural and hybrid neurosymbolic models.

🌳We introduce the Sparse Differentiable Tree Machine (sDTM), an extension of (DTM) that introduces a new way to represent trees in vector space. Sparse Coordinate Trees (SCT) reduce the parameter count and memory usage over the previous DTM by an order of magnitude and lead to a 30x speedup!

Our previous work introducing the Differentiable Tree Machine (DTM) is an example of a unified neurosymbolic system where trees are represented and operated over in vector space.

🚨 Thrilled to share that Compositional Generalization Across Distributional Shifts with Sparse Tree Operations received a spotlight award at #NeurIPS2024! 🌟 I'll present a poster on Tuesday and give an invited lightning talk at the System 2 Reasoning Workshop on Sunday. 🧵👇

Applied AGI scientist is a wild job title considering people have no idea how to even define AGI let alone what we should apply to create it.

We surveyed 79 top AI researchers about compositional behavior. Our goal? Map out the field's consensus and disagreements on how neural models process language to illuminate promising paths forward. Inspired by Dennett’s logical geography, we cluster participants by responses 🗺️

I’m excited to share our survey investigating the current challenges and debates around achieving compositional behavior (CB) in language models, to be presented at #EMNLP2024! What makes language understanding truly intelligent? A thread unpacking our latest research 🤖📊🧵

Besides being ergonomically beneficial, a split keyboard can prevent this from happening!