Artificial Intelligence
Model capability, reasoning, verification, and evaluation research aimed at making autonomous systems more capable and more reliable.
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FEB 2026 · RESEARCH
Rahul Thomas, Teo Kitanovski, Micah Goldblum, Arka Pal
Dynamic Delayed Tree Expansion For Improved Multi-Path Speculative Decoding
Read →FEB 2026 · RESEARCH
Arka Pal, Louai Zahran, William Gvozdjak, Akilesh Potti, Micah Goldblum
Privacy-Preserving Mechanisms Enable Cheap Verifiable Inference of LLMs
Read →FEB 2026 · RESEARCH
Rahul Thomas, Arka Pal
Greedy Multi-Path Block Verification for Faster Decoding in Speculative Sampling
Read →DEC 2025 · RESEARCH
Rahul Thomas, Arka Pal
Global Resolution: Optimal Multi-Draft Speculative Sampling via Convex Minimization
Read →DEC 2025 · RESEARCH
Arka Pal, Teo Kitanovski, Arthur Liang, Akilesh Potti, Micah Goldblum
Incoherent Beliefs & Inconsistent Actions in Large Language Models
Read →JUL 2025 · RESEARCH
Rahul Thomas, Louai Zahran, Erica Choi, Micah Goldblum, Arka Pal
Cascade: Token-Sharded Private LLM Inference
Read →NOV 2024 · CORE
Eva Zhang, Arka Pal, Akilesh Potti, Micah Goldblum
vTune: Verifiable Fine-Tuning for LLMs Through Backdooring
Read →NOV 2024 · RESEARCH
Micah Goldblum