Zobrazeno 1 - 10
of 6 461
pro vyhledávání: '"Ioannidis, P"'
Autor:
Evdaimon, Iakovos, Ioannidis, John P. A., Nikolentzos, Giannis, Chatzianastasis, Michail, Panagopoulos, George, Vazirgiannis, Michalis
Citation counts and related metrics have pervasive uses and misuses in academia and research appraisal, serving as scholarly influence and recognition measures. Hence, comprehending the citation patterns exhibited by authors is essential for assessin
Externí odkaz:
http://arxiv.org/abs/2406.19219
Autor:
Wu, Shirley, Zhao, Shiyu, Huang, Qian, Huang, Kexin, Yasunaga, Michihiro, Cao, Kaidi, Ioannidis, Vassilis N., Subbian, Karthik, Leskovec, Jure, Zou, James
Large language model (LLM) agents have demonstrated impressive capability in utilizing external tools and knowledge to boost accuracy and reduce hallucinations. However, developing the prompting techniques that make LLM agents able to effectively use
Externí odkaz:
http://arxiv.org/abs/2406.11200
Autor:
Chee, Jerry, Kalyanaraman, Shankar, Ernala, Sindhu Kiranmai, Weinsberg, Udi, Dean, Sarah, Ioannidis, Stratis
We consider a recommender system that takes into account the interplay between recommendations, the evolution of user interests, and harmful content. We model the impact of recommendations on user behavior, particularly the tendency to consume harmfu
Externí odkaz:
http://arxiv.org/abs/2406.09882
Autor:
Tsimpoukis, Stavros, Tyrovolas, Dimitrios, Ioannidis, Sotiris, Akyildiz, Ian F., Karagiannidis, George K., Liaskos, Christos
Lately a new approach to Extended Reality (XR), denoted as XR-RF, has been proposed which is realized by combining Radio Frequency (RF) Imaging and programmable wireless environments (PWEs). RF Imaging is a technique that aims to detect geometric and
Externí odkaz:
http://arxiv.org/abs/2406.07165
Autor:
Quinto-Cortés, Consuelo D., Jonas, Carmina Barberena, Vieyra-Sánchez, Sofía, Oppenheimer, Stephen, González-Buenfil, Ram, Auckland, Kathryn, Robson, Kathryn, Parks, Tom, Moreno-Mayar, J. Víctor, Blanco-Portillo, Javier, Homburger, Julian R., Wojcik, Genevieve L., Severson, Alissa L., Friedlaender, Jonathan S., Friedlaender, Francoise, Allen, Angela, Allen, Stephen, Stoneking, Mark, Hill, Adrian V. S., Aho, George, Koki, George, Pomat, William, Bustamante, Carlos D., Phipps, Maude, Mentzer, Alexander J., Moreno-Estrada, Andrés, Ioannidis, Alexander G.
Encompassing regions that were amongst the first inhabited by humans following the out-of-Africa expansion, hosting populations with the highest levels of archaic hominid introgression, and including Pacific islands that are the most isolated inhabit
Externí odkaz:
http://arxiv.org/abs/2405.09216
Autor:
Tipirneni, Sindhu, Adkathimar, Ravinarayana, Choudhary, Nurendra, Hiranandani, Gaurush, Amjad, Rana Ali, Ioannidis, Vassilis N., Yuan, Changhe, Reddy, Chandan K.
Despite the remarkable success of Large Language Models (LLMs) in text understanding and generation, their potential for text clustering tasks remains underexplored. We observed that powerful closed-source LLMs provide good quality clusterings of ent
Externí odkaz:
http://arxiv.org/abs/2405.00988
Autor:
Siew, Marie, Zhang, Haoran, Park, Jong-Ik, Liu, Yuezhou, Ruan, Yichen, Su, Lili, Ioannidis, Stratis, Yeh, Edmund, Joe-Wong, Carlee
Federated learning (FL) enables collaborative learning across multiple clients. In most FL work, all clients train a single learning task. However, the recent proliferation of FL applications may increasingly require multiple FL tasks to be trained s
Externí odkaz:
http://arxiv.org/abs/2404.13841
Autor:
Wu, Shirley, Zhao, Shiyu, Yasunaga, Michihiro, Huang, Kexin, Cao, Kaidi, Huang, Qian, Ioannidis, Vassilis N., Subbian, Karthik, Zou, James, Leskovec, Jure
Answering real-world complex queries, such as complex product search, often requires accurate retrieval from semi-structured knowledge bases that involve blend of unstructured (e.g., textual descriptions of products) and structured (e.g., entity rela
Externí odkaz:
http://arxiv.org/abs/2404.13207
Federated learning is a popular distributed learning approach for training a machine learning model without disclosing raw data. It consists of a parameter server and a possibly large collection of clients (e.g., in cross-device federated learning) t
Externí odkaz:
http://arxiv.org/abs/2404.10091
Autor:
Schweiger, Gerald, Barnett, Adrian, Besselaar, Peter van den, Bornmann, Lutz, De Block, Andreas, Ioannidis, John P. A., Sandström, Ulf, Conix, Stijn
Research funding systems are not isolated systems - they are embedded in a larger scientific system with an enormous influence on the system. This paper aims to analyze the allocation of competitive research funding from different perspectives: How r
Externí odkaz:
http://arxiv.org/abs/2403.16934