Zobrazeno 1 - 10
of 2 181
pro vyhledávání: '"Haghani, P."'
Autor:
Richardson, Christopher, Sharma, Roshan, Gaur, Neeraj, Haghani, Parisa, Sundar, Anirudh, Ramabhadran, Bhuvana
Zero-shot domain adaptation for dialogue state tracking (DST) remains a challenging problem in task-oriented dialogue (TOD) systems, where models must generalize to target domains unseen at training time. Current large language model approaches for z
Externí odkaz:
http://arxiv.org/abs/2411.00150
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
Multi-Agent Reinforcement Learning (MARL) struggles with sample inefficiency and poor generalization [1]. These challenges are partially due to a lack of structure or inductive bias in the neural networks typically used in learning the policy. One su
Externí odkaz:
http://arxiv.org/abs/2410.02581
Autor:
Aliannejadi, R., Haghani, Z.
Publikováno v:
IJAA. 11 (2024) 45-57
We investigate the physical properties of quark stars with two different equations of state in generalized hybrid metric-Palatini gravity. This theory corresponds to a bi-scalar gravitational theory in which there are two non-minimally-coupled scalar
Externí odkaz:
http://arxiv.org/abs/2410.00159
Autor:
Gaur, Neeraj, Agrawal, Rohan, Wang, Gary, Haghani, Parisa, Rosenberg, Andrew, Ramabhadran, Bhuvana
This paper introduces ASTRA, a novel method for improving Automatic Speech Recognition (ASR) through text injection.Unlike prevailing techniques, ASTRA eliminates the need for sampling to match sequence lengths between speech and text modalities. Ins
Externí odkaz:
http://arxiv.org/abs/2406.06664
Autor:
Haghani, Milad, Ronchi, Enrico
The paper "Simulating dynamical features of escape panic" by Helbing, Farkas, and Vicsek, published over two decades ago in Nature, has left an indelible mark on the field of crowd dynamics. With nearly 3,000 citations to date, according to the Web o
Externí odkaz:
http://arxiv.org/abs/2310.20506
Autor:
Ngai, Hillary, Agrawal, Rohan, Gaur, Neeraj, Huang, Ronny, Haghani, Parisa, Mengibar, Pedro Moreno
Adapters are an efficient, composable alternative to full fine-tuning of pre-trained models and help scale the deployment of large ASR models to many tasks. In practice, a task ID is commonly prepended to the input during inference to route to single
Externí odkaz:
http://arxiv.org/abs/2310.13015
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Clinical teaching is an essential part of medical education and clinical teacher must acquire the necessary competencies to perform such a role. In this regard, there is emphasis on emotional intelligence as an essential competenc
Externí odkaz:
https://doaj.org/article/5a1af8df9c81429d9300af9e322a73d0
Clinic-mycological spectrum of Candida infection in diabetic foot ulcers in a tertiary care hospital
Autor:
Azam Moslemi, Tahereh Shokohi, Maryam Salimi, Leila Faeli, Lotfollah Davoodi, Zahra Kashi, Mahdi Abastabar, Iman Haghani, Sabah Mayahi, Seyed Reza Aghili
Publikováno v:
Current Medical Mycology, Vol 9, Iss 4, Pp 9-16 (2024)
Background and Purpose: In diabetic foot ulcers, if fungal agents, such as Candida species penetrate the cutaneous or depth of the ulcer, it can increase the wound severity and make it more difficult to heal. Materials and Methods: A cross-sectional
Externí odkaz:
https://doaj.org/article/9dba77ffcdfb4b5b9888946f4581d980
Autor:
Mohsen Nosratabadi, Mohammad Ali Ebrahimzadeh, Seyedeh Roya Alizadeh, Iman Haghani, Leila Faeli, Robab Ebrahimi Barogh, Abdullah Al-Hatmi, Mahdi Abastabar
Publikováno v:
Current Medical Mycology, Vol 9, Iss 4, Pp 17-23 (2024)
Background and Purpose: Fusarium species are commonly resistant to many antifungal drugs. The limited therapeutic options available have led to a surge of research efforts aimed at discovering novel antifungal compounds in recent decades. This study
Externí odkaz:
https://doaj.org/article/ef3c8def6d6f4f77b82e689904169fea
Autor:
Milad Noori, Minoo Khalili Ghomi, Navid Dastyafteh, Najmeh Oliyaei, Haleh Hamedifar, Shahrzad Javanshir, Nader Tanideh, Elahe Sattarinezhad, Fateme Sattari, Masoud Haghani, Hojjat Rahmani, Bagher Larijani, Mohammad Mahdavi, Mir H. Hajimiri, Aida Iraji
Publikováno v:
ACS Omega, Vol 9, Iss 49, Pp 48032-48043 (2024)
Externí odkaz:
https://doaj.org/article/ac2d76736f9141149d7522ef7c8eecd2