03/21/24: How and Why to extend First Order Logic for Knowledge-Based Systems with Marc Denecker
Today Marc Denecker joined us to present How and Why to extend First Order Logic for Knowledge-Based Systems. This presentation provided the setup for a follow-on that Marc's student Simon Vandevelde is set to give on IDP-Z3, a formal reasoning machine that Marc and Simon have built. This was a really interesting talk touching on a variety of forms for formal logic, decision procedures, and industrial use-cases thereof, potentially with profound implications for the future and realizability of so-called AGI.
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04/04/25: Constrained Decoding for Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars with Daniel Melcer
Today Daniel Melcer joined us to present Constrained Decoding for Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars (https://arxiv.org/pdf/2402.17988). This is work he completed while at Amazon, and it's a really interesting project around how to constrain, guide, and check language models such that they generate valid code within a given context. We really appreciate that Daniel took the time to talk to us and hope you like the talk as much as we did!
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58:33
03/08/25: An Introduction to LiquidHaskell with Michael H. Borkowski
Michael H. Borkowski is an Assistant Professor of Practice in the Department of Computer Science at Purdue University. Before joining Purdue, he earned his Ph.D. from the Department of Computer Science and Engineering at UC San Diego, where he was affiliated with the ProgSys Group. Today Michael joined us to discuss LiquidHaskell, a very cool project that incorporates a kind of refinement types, with SMT-based proofs, into Haskell. This was a really compelling talk and we hope you enjoy it as much as we did!
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1:02:10
01/10/25: Combining Causal Inference and Knowledge Graphs with Brook Santangelo and John Sterrett
Today Brook Santangelo and John Sterrett
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58:11
01/04/25: Hacking GenAI with LLM Red Teaming and Beyond with Gaspard Baye
Gaspard Baye is a Cyber AI Ph.D. Candidate at the University of Massachusetts Dartmouth, where he researches AI-driven offensive and defensive security applications. Today Gaspard joined us to present "Hacking GenAI with LLM Red Teaming and Beyond" based on his recent DefCon talk. This was a really fun event with a great Q&A. Thanks to Jacob from the Trust Lab for hosting!
The Boston Computation Club is a small seminar group focused on mathematical computer science, and computational mathematics. Its name is plagiarized from the London Computation Club. Boston Computation Club meetings occur roughly every other week, on weekends, around 5pm EDT (modulo speaker availability). The usual format is a 20m presentation followed by 40m of discussion. Some, but not all, meetings are posted on YouTube and in podcast form.