Zobrazeno 1 - 10
of 52 503
pro vyhledávání: '"A, Sudha"'
Autor:
Krishnamurthy, Sudha
We propose a novel self-supervised approach for learning audio and visual representations from unlabeled videos, based on their correspondence. The approach uses an attention mechanism to learn the relative importance of convolutional features extrac
Externí odkaz:
http://arxiv.org/abs/2412.07406
The proliferation of several streaming services in recent years has now made it possible for a diverse audience across the world to view the same media content, such as movies or TV shows. While translation and dubbing services are being added to mak
Externí odkaz:
http://arxiv.org/abs/2412.03878
We report the spectro-temporal study of the neutron star low mass X-ray binary Cygnus X-2 using NICER and NuSTAR data while the source was in the normal branch (NB). We detect a normal branch oscillation (NBO) feature at ~ 5.41 Hz that appears in the
Externí odkaz:
http://arxiv.org/abs/2411.12803
The mid-infrared region is crucial for elucidating the unique biochemical signatures of microorganisms. The MIR resonant structures turned out to facilitate exceptional performance owing to the enhance electric field confinement in the nano-sized ape
Externí odkaz:
http://arxiv.org/abs/2411.09330
Ultra-sensitive short-wave infrared (SWIR) photon detection is a crucial aspect of ongoing research in quantum technology. However, developing such detectors on a CMOS-compatible silicon technological platform has been challenging due to the low abso
Externí odkaz:
http://arxiv.org/abs/2411.09316
Autor:
Eswaramoorthy, Lekshmi, Sharma, Parul, Kumar, Brijesh, S, Abhay Anand V, Singh, Anuj Kumar, Mandal, Kishor Kumar, Mokkapati, Sudha, Kumar, Anshuman
Whispering gallery mode (WGM) microdisk resonators are promising optical devices that confine light efficiently and enable enhanced nonlinear optical effects. This work presents a novel approach to reduce sidewall roughness in SiO\textsubscript{2} mi
Externí odkaz:
http://arxiv.org/abs/2411.06947
Autor:
Alavi, Seyed Hossein, Xu, Weijia, Jojic, Nebojsa, Kennett, Daniel, Ng, Raymond T., Rao, Sudha, Zhang, Haiyan, Dolan, Bill, Shwartz, Vered
We introduce GamePlot, an LLM-powered assistant that supports game designers in crafting immersive narratives for turn-based games, and allows them to test these games through a collaborative game play and refine the plot throughout the process. Our
Externí odkaz:
http://arxiv.org/abs/2411.02714
Autor:
Alavi, Seyed Hossein, Rao, Sudha, Adhikari, Ashutosh, DesGarennes, Gabriel A, Malhotra, Akanksha, Brockett, Chris, Adada, Mahmoud, Ng, Raymond T., Shwartz, Vered, Dolan, Bill
We propose a novel approach that uses large language models (LLMs) to generate persona-driven conversations between Players and Non-Player Characters (NPC) in games. Showcasing the application of our methodology, we introduce the Minecraft Persona-dr
Externí odkaz:
http://arxiv.org/abs/2410.21627
We present the temporal analysis of the persistent neutron star low-mass X-ray binary (NS LMXB) GX 13+1 using NICER data. Classification of this source has been ambiguous so far. We investigate the evolution of the source in its hardness-intensity di
Externí odkaz:
http://arxiv.org/abs/2409.16941
Autor:
Rao, Sudha, Xu, Weijia, Xu, Michael, Leandro, Jorge, Lobb, Ken, DesGarennes, Gabriel, Brockett, Chris, Dolan, Bill
Publikováno v:
ACL 2024
The use of generative AI in video game development is on the rise, and as the conversational and other capabilities of large language models continue to improve, we expect LLM-driven non-player characters (NPCs) to become widely deployed. In this pap
Externí odkaz:
http://arxiv.org/abs/2407.03460