1 citations · 3 across the 7 of their papers we have counts for
10 papers
Fetch Me If You Can: A Comprehensive Analysis of Fetch Metadata
Pedro Bernardo, Alex Ploner, Marco Squarcina +2
Effective server-side defenses against cross-site attacks depend on understanding the context in which browser requests are generated. However, servers often lack the information n…
Q-PACE: Dynamic Precision Allocation for Quantization-Aware Training
Alexandra Volkova, Matin Ansaripour, Erik Schultheis +2
Quantization-aware training (QAT) leverages lower-precision arithmetic to reduce the cost of LLM deployment, but aggressive quantization degrades final model performance. A common…
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
Project Apertus, Alejandro Hernández-Cano, Alexander Hägele +100
We present Apertus, a fully open suite of large language models (LLMs) designed to address two systemic shortcomings in today's open model ecosystem: data compliance and multilingu…
WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts
Negar Foroutan, Angelika Romanou, Matin Ansaripour +3
Documents are fundamental to preserving and disseminating information, often incorporating complex layouts, tables, and charts that pose significant challenges for automatic docume…
Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs
Dongyang Fan, Vinko Sabolčec, Matin Ansaripour +4
The increasing adoption of web crawling opt-outs by copyright holders of online content raises critical questions about the impact of data compliance on large language model (LLM)…
Approximate EFX and Exact tEFX Allocations for Indivisible Chores: Improved Algorithms
Mahyar Afshinmehr, Matin Ansaripour, Alireza Danaei +1
We explore the fair distribution of a set of indivisible chores among agents, where each agent's costs are evaluated using a monotone cost function. Our focus lies on two f…
LLaMa-SciQ: An Educational Chatbot for Answering Science MCQ
Marc-Antoine Allard, Matin Ansaripour, Maria Yuffa +1
Large Language Models (LLMs) often struggle with tasks requiring mathematical reasoning, particularly multiple-choice questions (MCQs). To address this issue, we developed LLaMa-Sc…
Gabow's Cardinality Matching Algorithm in General Graphs: Implementation and Experiments
Matin Ansaripour, Alireza Danaei, Kurt Mehlhorn
It is known since 1975 (\cite{HK75}) that maximum cardinality matchings in bipartite graphs with nodes and edges can be computed in time . Asymptotically fas…
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence
Matin Ansaripour, Shayan Talaei, Giorgi Nadiradze +1
Distributed optimization is the standard way of speeding up machine learning training, and most of the research in the area focuses on distributed first-order, gradient-based metho…
Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems
Matin Ansaripour, Krishnendu Chatterjee, Thomas A. Henzinger +2
We consider the problem of learning control policies in discrete-time stochastic systems which guarantee that the system stabilizes within some specified stabilization region with…