Zobrazeno 1 - 10
of 2 107
pro vyhledávání: '"Akhila, P."'
This pilot study presents the development of the InfoTech Assistant, a domain-specific, multimodal chatbot engineered to address queries in bridge evaluation and infrastructure technology. By integrating web data scraping, large language models (LLMs
Externí odkaz:
http://arxiv.org/abs/2412.16412
Publikováno v:
Mathematics, 12(23), 3801 (2024)
Stock price prediction is challenging due to global economic instability, high volatility, and the complexity of financial markets. Hence, this study compared several machine learning algorithms for stock market prediction and further examined the in
Externí odkaz:
http://arxiv.org/abs/2412.06836
Autor:
Vangara, Akhila, Egg, Alex
Uniform random exploration in decision-making systems supports off-policy learning via supervision but incurs high regret, making it impractical for many applications. Conversely, non-uniform exploration offers better immediate performance but lacks
Externí odkaz:
http://arxiv.org/abs/2412.00569
Accurate survival prediction is essential for personalized cancer treatment. However, genomic data - often a more powerful predictor than pathology data - is costly and inaccessible. We present the cross-modal genomic feature translation and alignmen
Externí odkaz:
http://arxiv.org/abs/2411.00749
Autor:
Kumar, Shanu, Venkata, Akhila Yesantarao, Khandelwal, Shubhanshu, Santra, Bishal, Agrawal, Parag, Gupta, Manish
As large language models become increasingly central to solving complex tasks, the challenge of optimizing long, unstructured prompts has become critical. Existing optimization techniques often struggle to effectively handle such prompts, leading to
Externí odkaz:
http://arxiv.org/abs/2410.20788
Autor:
Awasthi, Pravesh Chndra, More, Jai, Pradhan, Akhila Kumar, Rao, Kumar, Sahu, Purushottam, Sankar, S. Uma
The occurrence of neutrino oscillations demands the existence of flavour violation in charged lepton sector. The relation between the branching ratios of different charged lepton flavour violating (CLFV) decay modes depends on the details of the neut
Externí odkaz:
http://arxiv.org/abs/2410.10490
Autor:
Akhila, Kambhatla, Ahmed, Khaled R
Firearm Shootings and stabbings attacks are intense and result in severe trauma and threat to public safety. Technology is needed to prevent lone-wolf attacks without human supervision. Hence designing an automatic weapon detection using deep learnin
Externí odkaz:
http://arxiv.org/abs/2405.14148
Humans often express their communicative intents indirectly or non-literally, which requires their interlocutors -- human or AI -- to understand beyond the literal meaning of words. While most existing work has focused on discriminative evaluations,
Externí odkaz:
http://arxiv.org/abs/2405.08760
We present the results from a long term X-ray analysis of Mrk 279 during the period 2018-2020. We use data from multiple missions - AstroSat, NuSTAR and XMM-Newton, for the purpose. The X-ray spectrum can be modelled as a double Comptonisation along
Externí odkaz:
http://arxiv.org/abs/2405.08478
To be effectively and safely deployed to global user populations, large language models (LLMs) must adapt outputs to user values and culture, not just know about them. We introduce NormAd, an evaluation framework to assess LLMs' cultural adaptability
Externí odkaz:
http://arxiv.org/abs/2404.12464