papers

Publications (5)

physics.ins-det2024

Scalable DAQ system operating the CHIPS-5 neutrino detector

Belén Alonso Rancurel, Son Cao, Thomas J. Carroll +57

The CHIPS R&D project focuses on development of low-cost water Cherenkov neutrino detectors through novel design strategies and resourceful engineering. This work presents an end-t…

cs.CL2025

Dynamic Strategy Planning for Efficient Question Answering with Large Language Models

Tanmay Parekh, Pradyot Prakash, Alexander Radovic +2

Research has shown the effectiveness of reasoning (e.g., Chain-of-Thought), planning (e.g., SelfAsk), and retrieval augmented generation strategies to improve the performance of La…

physics.comp-ph2019

Machine Learning in High Energy Physics Community White Paper

Kim Albertsson, Piero Altoe, Dustin Anderson +125

Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by a…

cs.LG2022

Efficient CDF Approximations for Normalizing Flows

Chandramouli Shama Sastry, Andreas Lehrmann, Marcus Brubaker +1

Normalizing flows model a complex target distribution in terms of a bijective transform operating on a simple base distribution. As such, they enable tractable computation of a num…

cs.CL2025

Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation

Chengwei Qin, Wenxuan Zhou, Karthik Abinav Sankararaman +10

Hallucination, the generation of factually incorrect information, remains a significant challenge for large language models (LLMs), especially in open-domain long-form generation.…