3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.IR2025
AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine
Carlo Siebenschuh, Kyle Hippe, Ozan Gokdemir +10
Language models for scientific tasks are trained on text from scientific publications, most distributed as PDFs that require parsing. PDF parsing approaches range from inexpensive…
cs.CL2023★ 3 cited
Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism
Mansi Sakarvadia, Arham Khan, Aswathy Ajith +5
Transformer-based Large Language Models (LLMs) are the state-of-the-art for natural language tasks. Recent work has attempted to decode, by reverse engineering the role of linear l…
cs.AR2023★ 2 cited
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science
Maksim Levental, Arham Khan, Ryan Chard +3
In many experiment-driven scientific domains, such as high-energy physics, material science, and cosmology, high data rate experiments impose hard constraints on data acquisition s…