33 citations · 56 across the 24 of their papers we have counts for
6 papers · 1 filter
Spectral Feedback for Test-Time Alignment of Protein Diffusion Models
Shai Dickman, Mert Cemri, Landon Butler +1
Reward maximization alignment methods for discrete diffusion models have primarily focused on steering the reverse process, either by influencing token logits or by selecting favor…
Fantastic Adaptive Taxonomies and How to Use Them
Mert Cemri, Andrei Cojocaru, Melissa Pan +9
An agent system's execution traces record how it fails, and procedures that improve such a system without changing model weights (trajectory selection, prompt and workflow optimiza…
Towards Anytime-Valid Statistical Watermarking
Baihe Huang, Eric Xu, Kannan Ramchandran +2
The proliferation of Large Language Models (LLMs) necessitates efficient mechanisms to distinguish machine-generated content from human text. While statistical watermarking has eme…
Adaptive Sparse Möbius Transforms for Learning Polynomials
Yigit Efe Erginbas, Justin Singh Kang, Elizabeth Polito +1
We consider the problem of exactly learning an -sparse real-valued Boolean polynomial of degree of the form . This problem corresponds t…
A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior
Harry Mayne, Justin Singh Kang, Dewi Gould +3
LLM self-explanations are often presented as a promising tool for AI oversight, yet their faithfulness to the model's true reasoning process is poorly understood. Existing faithful…
An Odd Estimator for Shapley Values
Fabian Fumagalli, Landon Butler, Justin Singh Kang +2
The Shapley value is a ubiquitous framework for attribution in machine learning, encompassing feature importance, data valuation, and causal inference. However, its exact computati…