output
20162026
most citedLarge Legal Fictions: Profiling Legal Hallucinations in Large Language Models

272 citations

12 papers

cs.CV2026

StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows

Youwan Mahé, Axel Plessis, Stéphanie Leplaideur +3

Deep learning frameworks like nnU-Net achieve state-of-theart brain lesion segmentation performance but remain difficult to deploy in clinical research environments due to, among o…

math.OC2026

Constrained Optimization on Matrix Lie Groups via Interior-Point Method

Aclécio J. Santos, Jean C. Pereira, Guilherme V. Raffo

This paper proposes an interior-point framework for constrained optimization problems whose decision variables evolve on matrix Lie groups. The proposed method, termed the Matrix L…

cs.CL2024★ 272 cited

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models

Matthew Dahl, Varun Magesh, Mirac Suzgun +1

Do large language models (LLMs) know the law? These models are increasingly being used to augment legal practice, education, and research, yet their revolutionary potential is thre…

cs.CV2023★ 3 cited

Clinical application of HEDI for biomechanical evaluation and visualisation in incisional hernia repair

Philipp D. Lösel, Jacob J. Relle, Samuel Voß +7

Background: Abdominal wall defects, such as incisional hernias, are a common source of pain and discomfort and often require repeated surgical interventions. Traditional mesh repai…

cs.CL2022★ 6 cited

BERT in Plutarch's Shadows

Ivan P. Yamshchikov, Alexey Tikhonov, Yorgos Pantis +2

The extensive surviving corpus of the ancient scholar Plutarch of Chaeronea (ca. 45-120 CE) also contains several texts which, according to current scholarly opinion, did not origi…

math.OC2022

Mixed-Strategy Equilibria in the War of Attrition under Uncertainty

Jean-Paul Décamps, Fabien Gensbittel, Thomas Mariotti

We study a generic family of two-player continuous-time nonzero-sum stopping games modeling a war of attrition with symmetric information and stochastic payoffs that depend on an h…

math.OC2021

Investment Timing and Technological Breakthroughs

Jean-Paul Décamps, Fabien Gensbittel, Thomas Mariotti

We study the optimal investment policy of a firm facing both technological and cash-flow uncertainty. At any point in time, the firm can decide to invest in a standalone technology…

econ.EM2020★ 64 cited

A Model of the Fed's View on Inflation

Thomas Hasenzagl, Filippo Pellegrino, Lucrezia Reichlin +1

We develop a medium-size semi-structural time series model of inflation dynamics that is consistent with the view - often expressed by central banks - that three components are imp…

econ.GN2020★ 94 cited

The Benefits and Costs of Social Distancing in Rich and Poor Countries

Zachary Barnett-Howell, Ahmed Mushfiq Mobarak

Social distancing is the primary policy prescription for combating the COVID-19 pandemic, and has been widely adopted in Europe and North America. We estimate the value of disease…

physics.soc-ph2020★ 11 cited

The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook

Theresa Kuchler, Dominic Russel, Johannes Stroebel

We use aggregated data from Facebook to show that COVID-19 is more likely to spread between regions with stronger social network connections. Areas with more social ties to two ear…

q-fin.PR2018★ 1 cited

Accounting Noise and the Pricing of CoCos

Mike Derksen, Peter Spreij, Sweder van Wijnbergen

Contingent Convertible bonds (CoCos) are debt instruments that convert into equity or are written down in times of distress. Existing pricing models assume conversion triggers base…

q-fin.PM2016

The Excess Returns of "Quality" Stocks: A Behavioral Anomaly

Jean-Philippe Bouchaud, Stefano Ciliberti, Augustin Landier +2

This note investigates the causes of the quality anomaly, which is one of the strongest and most scalable anomalies in equity markets. We explore two potential explanations. The "r…