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7 papers
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study
Imed Keraghel, Stanislas Morbieu, Mohamed Nadif
Named Entity Recognition seeks to extract substrings within a text that name real-world objects and to determine their type (for example, whether they refer to persons or organizat…
Heterogeneous Multi-task Learning with Expert Diversity
Raquel Aoki, Frederick Tung, Gabriel L. Oliveira
Predicting multiple heterogeneous biological and medical targets is a challenge for traditional deep learning models. In contrast to single-task learning, in which a separate model…
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai, Lei Chen, Jiawei He +3
Humans accumulate knowledge in a lifelong fashion. Modern deep neural networks, on the other hand, are susceptible to catastrophic forgetting: when adapted to perform new tasks, th…
Differentiable Categories, gerbes and G-structures
Tsemo Aristide
The theories of strings and -branes have motivated the development of non Abelian cohomology techniques in differential geometry, on the purpose to find a geometric interpretati…
A homotopical algebra of graphs related to zeta series
Terrence Bisson, Aristide Tsemo
The purpose of this paper is to develop a homotopical algebra for graphs, relevant to zeta series and spectra of finite graphs. More precisely, we define a Quillen model structure…