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Research / Artificial Intelligence

Artificial Intelligence

Model capability, reasoning, verification, and evaluation research aimed at making autonomous systems more capable and more reliable.

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Mechanism Design 6 Systems 1 Cryptography 5
FEB 2026 · RESEARCH

Rahul Thomas, Teo Kitanovski, Micah Goldblum, Arka Pal

Dynamic Delayed Tree Expansion For Improved Multi-Path Speculative Decoding

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FEB 2026 · RESEARCH

Arka Pal, Louai Zahran, William Gvozdjak, Akilesh Potti, Micah Goldblum

Privacy-Preserving Mechanisms Enable Cheap Verifiable Inference of LLMs

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FEB 2026 · RESEARCH

Rahul Thomas, Arka Pal

Greedy Multi-Path Block Verification for Faster Decoding in Speculative Sampling

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DEC 2025 · RESEARCH

Rahul Thomas, Arka Pal

Global Resolution: Optimal Multi-Draft Speculative Sampling via Convex Minimization

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DEC 2025 · RESEARCH

Arka Pal, Teo Kitanovski, Arthur Liang, Akilesh Potti, Micah Goldblum

Incoherent Beliefs & Inconsistent Actions in Large Language Models

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JUL 2025 · RESEARCH

Rahul Thomas, Louai Zahran, Erica Choi, Micah Goldblum, Arka Pal

Cascade: Token-Sharded Private LLM Inference

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NOV 2024 · CORE

Eva Zhang, Arka Pal, Akilesh Potti, Micah Goldblum

vTune: Verifiable Fine-Tuning for LLMs Through Backdooring

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NOV 2024 · RESEARCH

Micah Goldblum

Model and Data Watermarking

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