Zobrazeno 1 - 10
of 1 191
pro vyhledávání: '"Tejaswi P"'
Autor:
Rashmi Vishwanath, Savitha Soman, Anil Kumar Mysore Nagaraj, Avinash G Kamath, Tejaswi Penmetsa
Publikováno v:
Indian Journal of Psychological Medicine, Vol 46 (2024)
Externí odkaz:
https://doaj.org/article/c12b083855f34c9cbe5f0915258cd769
Autor:
Rodriguez, Juan, Jian, Xiangru, Panigrahi, Siba Smarak, Zhang, Tianyu, Feizi, Aarash, Puri, Abhay, Kalkunte, Akshay, Savard, François, Masry, Ahmed, Nayak, Shravan, Awal, Rabiul, Massoud, Mahsa, Abaskohi, Amirhossein, Li, Zichao, Wang, Suyuchen, Noël, Pierre-André, Richter, Mats Leon, Vadacchino, Saverio, Agarwal, Shubbam, Biswas, Sanket, Shanian, Sara, Zhang, Ying, Bolger, Noah, MacDonald, Kurt, Fauvel, Simon, Tejaswi, Sathwik, Sunkara, Srinivas, Monteiro, Joao, Dvijotham, Krishnamurthy DJ, Scholak, Torsten, Chapados, Nicolas, Kharagani, Sepideh, Hughes, Sean, Özsu, M., Reddy, Siva, Pedersoli, Marco, Bengio, Yoshua, Pal, Christopher, Laradji, Issam, Gella, Spandanna, Taslakian, Perouz, Vazquez, David, Rajeswar, Sai
Multimodal AI has the potential to significantly enhance document-understanding tasks, such as processing receipts, understanding workflows, extracting data from documents, and summarizing reports. Code generation tasks that require long-structured o
Externí odkaz:
http://arxiv.org/abs/2412.04626
Active Learning aims to optimize performance while minimizing annotation costs by selecting the most informative samples from an unlabelled pool. Traditional uncertainty sampling often leads to sampling bias by choosing similar uncertain samples. We
Externí odkaz:
http://arxiv.org/abs/2411.17444
We investigate whether in-context examples, widely used in decoder-only language models (LLMs), can improve embedding model performance in retrieval tasks. Unlike in LLMs, naively prepending in-context examples (query-document pairs) to the target qu
Externí odkaz:
http://arxiv.org/abs/2410.20088
Neutron stars in coalescing binaries deform due to the tidal gravitational fields generated by their companions. During the inspiral phase, the tidal deformation is dominated by the fundamental oscillation~($f$-) mode of the stars. The tide also has
Externí odkaz:
http://arxiv.org/abs/2410.03831
People now frequently meet and develop relationships through online dating. Yet, due to their limited accessibility, utilizing dating services can be difficult and irritating for people with visual impairments. The significance of the research issue
Externí odkaz:
http://arxiv.org/abs/2410.03695
Autor:
Islam, Tousif, Venumadhav, Tejaswi
Using publicly available numerical relativity (NR) simulations for non-spinning eccentric binary black hole (BBH) mergers, Ref \cite{Islam:2024rhm} demonstrated that the eccentricity-induced modulations in the amplitudes and frequencies of different
Externí odkaz:
http://arxiv.org/abs/2408.14654
Next-generation ground-based gravitational-wave (GW) detectors are expected to detect millions of binary black hole mergers during their operation period. A small fraction ($\sim 0.1 - 1\%$) of them will be strongly lensed by intervening galaxies and
Externí odkaz:
http://arxiv.org/abs/2408.05290
Abstention Ability (AA) is a critical aspect of Large Language Model (LLM) reliability, referring to an LLM's capability to withhold responses when uncertain or lacking a definitive answer, without compromising performance. Although previous studies
Externí odkaz:
http://arxiv.org/abs/2407.16221
Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability
Autor:
Dijk, Judith, Burghouts, Gertjan, Katyal, Kapil D., Yeh, Bryanna Y., Knuth, Craig T., Fokkinga, Ella, Kasarla, Tejaswi, Mettes, Pascal
Publikováno v:
ICRA Off-road Autonomy workshop 2024
For navigation of robots, image segmentation is an important component to determining a terrain's traversability. For safe and efficient navigation, it is key to assess the uncertainty of the predicted segments. Current uncertainty estimation methods
Externí odkaz:
http://arxiv.org/abs/2407.13392