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Publication search results
found 38 matches
- 2024
- Hanjie Chen, Zhouxiang Fang, Yash Singla, Mark Dredze:
Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions. CoRR abs/2402.18060 (2024) - 2023
- Emily Dunkel, Jason Swope, Alberto Candela, Lauren West, Steve A. Chien, Zaid J. Towfic, Léonie Buckley, Juan Romero-Cañas, José Luis Espinosa-Aranda, Elena Hervas-Martin, Mark R. Fernandez:
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications. J. Aerosp. Inf. Syst. 20(10): 660-674 (2023) - Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS 2023 - Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR abs/2305.13786 (2023) - Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein:
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? CoRR abs/2309.08963 (2023) - Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan:
Investigating Data Contamination in Modern Benchmarks for Large Language Models. CoRR abs/2311.09783 (2023) - Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein:
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. CoRR abs/2311.09835 (2023) - Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, Jean-Baptiste Gaya, Xavier Martinet, Grégoire Mialon, Thomas Scialom, Emmanuel Dupoux, Dieuwke Hupkes, Pascal Vincent:
WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models. CoRR abs/2311.15930 (2023) - 2022
- Markus P. Rumpfkeil, Dean E. Bryson, Phil Beran:
Multi-Fidelity Sparse Polynomial Chaos and Kriging Surrogate Models Applied to Analytical Benchmark Problems. Algorithms 15(3): 101 (2022) - Ashutosh Mishra, Aman Kumar, Shubham Mandloi, Khushboo Anand, John Zakkam, Seeram Sowmya, Avinash Thakur:
Evaluating and Bench-Marking Object Detection Models for Traffic Sign and Traffic Light Datasets. ACCV (Workshops) 2022: 345-359 - Markus Kohler, Martin Gerngroß, Christian Endisch:
A Test Bench Concept and Method for Image-Based Modeling of Geometric Wire Bending Behavior in Needle Winding Processes. ISIE 2022: 1113-1120 - Hassan Salmani, Mark M. Tehranipoor, Sarwono Sutikno, Fajar Wijitrisnanto:
Trust-Hub Trojan Benchmark for Hardware Trojan Detection Model Creation using Machine Learning. IEEE DataPort, 2022 - Maksym Del, Mark Fishel:
True Detective: A Challenging Benchmark for Deep Abductive Reasoning in Foundation Models. CoRR abs/2212.10114 (2022) - 2021
- Yu Yang, Shican Liu, Yonghong Wu, Benchawan Wiwatanapataphee:
Pricing of volatility derivatives in a Heston-CIR model with Markov-modulated jump diffusion. J. Comput. Appl. Math. 393: 113277 (2021) - Hanne S. Antila, Tiago M. Ferreira, Samuli Ollila, Markus Miettinen:
Using Open Data to Rapidly Benchmark Biomolecular Simulations: Phospholipid Conformational Dynamics. J. Chem. Inf. Model. 61(2): 938-949 (2021) - Prithviraj Ammanabrolu, Mark O. Riedl:
Modeling Worlds in Text. NeurIPS Datasets and Benchmarks 2021 - Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath:
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. NeurIPS Datasets and Benchmarks 2021 - Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman:
Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods. ESEC/SIGSOFT FSE 2021: 994-1006 - Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath:
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. CoRR abs/2109.04463 (2021) - 2019
- Christine F. Martindale, Sebastijan Sprager, Björn M. Eskofier:
Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables. Sensors 19(8): 1820 (2019) - 2018
- Martin Prause, Jurgen Weigand:
Market Model Benchmark Suite for Machine Learning Techniques. IEEE Comput. Intell. Mag. 13(4): 14-24 (2018) - Markus Ullrich, Jörg Lässig, Jingtao Sun, Martin Gaedke, Kento Aida:
A Benchmark Model for the Creation of Compute Instance Performance Footprints. IDCS 2018: 221-234 - Hana Jamali, Omar Bencharef, Abdellah Nabaji, Khalid El Housni, Zahra Asebriy:
Improving Regression Models Using Simulated Annealing for Stock Market Speculation. WorldCIST (1) 2018: 295-304 - Daniil Polykovskiy, Alexander Zhebrak, Benjamín Sánchez-Lengeling, Sergey Golovanov, Oktai Tatanov, Stanislav Belyaev, Rauf Kurbanov, Aleksey Artamonov, Vladimir Aladinskiy, Mark Veselov, Artur Kadurin, Sergey I. Nikolenko, Alán Aspuru-Guzik, Alex Zhavoronkov:
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models. CoRR abs/1811.12823 (2018) - 2017
- Steffen Bosselmann, Tobias Frank, Mark Wielitzka, Matthias Dagen, Tobias Ortmaier:
Thermal modeling and decentralized control of mold temperature for a vulcanization test bench. CCTA 2017: 377-382 - Markus Ullrich, Jörg Lässig, Kento Aida, Jingtao Sun, Tomoya Tanjo, Martin Gaedke:
An application meta-model to support the execution and benchmarking of scientific applications in multi-cloud environments. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - 2016
- Jeong-Han Woo, Mark A. Peterson, Blake Gleason:
Developing a Virtual Campus Model in an Interactive Game-Engine Environment for Building Energy Benchmarking. J. Comput. Civ. Eng. 30(5) (2016) - 2015
- Markus Scheidgen:
Generation of Large Random Models for Benchmarking. BigMDE@STAF 2015: 1-10 - Markus Huber, Stefan Reinhardt, Daniel Weiskopf, Bernhard Eberhardt:
Evaluation of Surface Tension Models for SPH-Based Fluid Animations Using a Benchmark Test. VRIPHYS 2015: 41-50 - 2014
- Logan Maughan, Mark McKenney, Zachary Benchley:
A Model of Aggregate Operations for Data Analytics over Spatiotemporal Objects. ER Workshops 2014: 234-240
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