Zobrazeno 1 - 10
of 2 844
pro vyhledávání: '"Thaker, P."'
Autor:
Thaker, Pratiksha, Hu, Shengyuan, Kale, Neil, Maurya, Yash, Wu, Zhiwei Steven, Smith, Virginia
Unlearning methods have the potential to improve the privacy and safety of large language models (LLMs) by removing sensitive or harmful information post hoc. The LLM unlearning research community has increasingly turned toward empirical benchmarks t
Externí odkaz:
http://arxiv.org/abs/2410.02879
Autor:
Luo, Jinqi, Ding, Tianjiao, Chan, Kwan Ho Ryan, Thaker, Darshan, Chattopadhyay, Aditya, Callison-Burch, Chris, Vidal, René
Large Language Models (LLMs) are being used for a wide variety of tasks. While they are capable of generating human-like responses, they can also produce undesirable output including potentially harmful information, racist or sexist language, and hal
Externí odkaz:
http://arxiv.org/abs/2406.04331
Autor:
Santhanam, Keshav, Raghavan, Deepti, Rahman, Muhammad Shahir, Venkatesh, Thejas, Kunjal, Neha, Thaker, Pratiksha, Levis, Philip, Zaharia, Matei
We present ALTO, a network orchestrator for efficiently serving compound AI systems such as pipelines of language models. ALTO achieves high throughput and low latency by taking advantage of an optimization opportunity specific to generative language
Externí odkaz:
http://arxiv.org/abs/2403.04311
Recent work has demonstrated that finetuning is a promising approach to 'unlearn' concepts from large language models. However, finetuning can be expensive, as it requires both generating a set of examples and running iterations of finetuning to upda
Externí odkaz:
http://arxiv.org/abs/2403.03329
Public pretraining is a promising approach to improve differentially private model training. However, recent work has noted that many positive research results studying this paradigm only consider in-distribution tasks, and may not apply to settings
Externí odkaz:
http://arxiv.org/abs/2312.15551
Autor:
Marta Pratelli, Anna M. Hakimi, Arth Thaker, Hyeonseok Jang, Hui-quan Li, Swetha K. Godavarthi, Byung Kook Lim, Nicholas C. Spitzer
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Cognitive deficits are long-lasting consequences of drug use, yet the convergent mechanism by which classes of drugs with different pharmacological properties cause similar deficits is unclear. We find that both phencyclidine and methampheta
Externí odkaz:
https://doaj.org/article/ae571b8360e04b54843811fe5c4dadab
Autor:
Jonas Stiegler, Cara A. Gallagher, Robert Hering, Thomas Müller, Marlee Tucker, Marco Apollonio, Janosch Arnold, Nancy A. Barker, Leon Barthel, Bruno Bassano, Floris M. van Beest, Jerrold L. Belant, Anne Berger, Dean E. Beyer Jr, Laura R. Bidner, Stephen Blake, Konstantin Börner, Francesca Brivio, Rudy Brogi, Bayarbaatar Buuveibaatar, Francesca Cagnacci, Jasja Dekker, Jane Dentinger, Martin Duľa, Jarred F. Duquette, Jana A. Eccard, Meaghan N. Evans, Adam W. Ferguson, Claudia Fichtel, Adam T. Ford, Nicholas L. Fowler, Benedikt Gehr, Wayne M. Getz, Jacob R. Goheen, Benoit Goossens, Stefano Grignolio, Lars Haugaard, Morgan Hauptfleisch, Morten Heim, Marco Heurich, Mark A. J. Hewison, Lynne A. Isbell, René Janssen, Anders Jarnemo, Florian Jeltsch, Jezek Miloš, Petra Kaczensky, Tomasz Kamiński, Peter Kappeler, Katharina Kasper, Todd M. Kautz, Sophia Kimmig, Petter Kjellander, Rafał Kowalczyk, Stephanie Kramer-Schadt, Max Kröschel, Anette Krop-Benesch, Peter Linderoth, Christoph Lobas, Peter Lokeny, Mia-Lana Lührs, Stephanie S. Matsushima, Molly M. McDonough, Jörg Melzheimer, Nicolas Morellet, Dedan K. Ngatia, Leopold Obermair, Kirk A. Olson, Kidan C. Patanant, John C. Payne, Tyler R. Petroelje, Manuel Pina, Josep Piqué, Joseph Premier, Jan Pufelski, Lennart Pyritz, Maurizio Ramanzin, Manuel Roeleke, Christer M. Rolandsen, Sonia Saïd, Robin Sandfort, Krzysztof Schmidt, Niels M. Schmidt, Carolin Scholz, Nadine Schubert, Nuria Selva, Agnieszka Sergiel, Laurel E. K. Serieys, Václav Silovský, Rob Slotow, Leif Sönnichsen, Erling J. Solberg, Mikkel Stelvig, Garrett M. Street, Peter Sunde, Nathan J. Svoboda, Maria Thaker, Maxi Tomowski, Wiebke Ullmann, Abi T. Vanak, Bettina Wachter, Stephen L. Webb, Christopher C. Wilmers, Filip Zieba, Tomasz Zwijacz-Kozica, Niels Blaum
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Wildlife tagging provides critical insights into animal movement ecology, physiology, and behavior amid global ecosystem changes. However, the stress induced by capture, handling, and tagging can impact post-release locomotion and activity a
Externí odkaz:
https://doaj.org/article/8a567bd4bfa54bc6bfe6f85c5511ead1
An important aspect of developing reliable deep learning systems is devising strategies that make these systems robust to adversarial attacks. There is a long line of work that focuses on developing defenses against these attacks, but recently, resea
Externí odkaz:
http://arxiv.org/abs/2306.04756
Publikováno v:
Société Internationale d’Urologie Journal, Vol 5, Iss 4, Pp 284-299 (2024)
Background/Objectives: Uric acid stones are the second most common type of kidney stones worldwide. Despite being cost-effective and widely available, pharmacological management for these stones is less utilized compared to surgical approaches. There
Externí odkaz:
https://doaj.org/article/44698aec4d4247c9b7b377dffb3632a7
Autor:
Jayesh Sheth, Aadhira Nair, Frenny Sheth, Manali Ajagekar, Tejasvi Dhondekar, Inusha Panigrahi, Ashish Bavdekar, Sheela Nampoothiri, Chaitanya Datar, Ajit Gandhi, Mamta Muranjan, Anupriya Kaur, Manisha Desai, Mehul Mistri, Chitra Patel, Premal Naik, Maulin Shah, Koumudi Godbole, Seema Kapoor, Neerja Gupta, Sunita Bijarnia-Mahay, Sandeep Kadam, Dhaval Solanki, Soham Desai, Anand Iyer, Ketan Patel, Harsh Patel, Raju C. Shah, Shalmi Mehta, Ruchi Shah, Riddhi Bhavsar, Jhanvi Shah, Mili Pandya, Bhagyadhan Patel, Sudhir Shah, Heli Shah, Shalin Shah, Shruti Bajaj, Siddharth Shah, Nilam Thaker, Umesh Kalane, Mahesh Kamate, Vykunta Raju KN, Naresh Tayade, Sujatha Jagadeesan, Deepika Jain, Mitesh Chandarana, Jitendra Singh, Sanjiv Mehta, Beena Suresh, Harsh Sheth
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-17 (2024)
Abstract Background Rare disorders comprise of ~ 7500 different conditions affecting multiple systems. Diagnosis of rare diseases is complex due to dearth of specialized medical professionals, testing labs and limited therapeutic options. There is sc
Externí odkaz:
https://doaj.org/article/2e11021daa8849e989ed195e21ef0b00