Zobrazeno 1 - 10
of 5 209
pro vyhledávání: '"Pandita, A."'
Autor:
Dutta, Sujan, Pandita, Deepak, Weerasooriya, Tharindu Cyril, Zampieri, Marcos, Homan, Christopher M., KhudaBukhsh, Ashiqur R.
Ensuring annotator quality in training and evaluation data is a key piece of machine learning in NLP. Tasks such as sentiment analysis and offensive speech detection are intrinsically subjective, creating a challenging scenario for traditional qualit
Externí odkaz:
http://arxiv.org/abs/2409.12218
Autor:
Choudhuri, Rudrajit, Trinkenreich, Bianca, Pandita, Rahul, Kalliamvakou, Eirini, Steinmacher, Igor, Gerosa, Marco, Sanchez, Christopher, Sarma, Anita
Generative AI (genAI) tools, such as ChatGPT or Copilot, are advertised to improve developer productivity and are being integrated into software development. However, misaligned trust, skepticism, and usability concerns can impede the adoption of suc
Externí odkaz:
http://arxiv.org/abs/2409.04099
Autor:
Pandita, Deepak, Weerasooriya, Tharindu Cyril, Dutta, Sujan, Luger, Sarah K., Ranasinghe, Tharindu, KhudaBukhsh, Ashiqur R., Zampieri, Marcos, Homan, Christopher M.
Human feedback is essential for building human-centered AI systems across domains where disagreement is prevalent, such as AI safety, content moderation, or sentiment analysis. Many disagreements, particularly in politically charged settings, arise b
Externí odkaz:
http://arxiv.org/abs/2408.08411
Autor:
Comlek, Yigitcan, Ravi, Sandipp Krishnan, Pandita, Piyush, Ghosh, Sayan, Wang, Liping, Chen, Wei
Artificial intelligence and machine learning frameworks have served as computationally efficient mapping between inputs and outputs for engineering problems. These mappings have enabled optimization and analysis routines that have warranted superior
Externí odkaz:
http://arxiv.org/abs/2407.11268
Autor:
Ravi, Sandipp Krishnan, Comlek, Yigitcan, Chen, Wei, Pathak, Arjun, Gupta, Vipul, Umretiya, Rajnikant, Hoffman, Andrew, Pilania, Ghanshyam, Pandita, Piyush, Ghosh, Sayan, Mckeever, Nathaniel, Wang, Liping
With the advent of artificial intelligence (AI) and machine learning (ML), various domains of science and engineering communites has leveraged data-driven surrogates to model complex systems from numerous sources of information (data). The proliferat
Externí odkaz:
http://arxiv.org/abs/2402.04146
Autor:
Parnin, Chris, Soares, Gustavo, Pandita, Rahul, Gulwani, Sumit, Rich, Jessica, Henley, Austin Z.
A race is underway to embed advanced AI capabilities into products. These product copilots enable users to ask questions in natural language and receive relevant responses that are specific to the user's context. In fact, virtually every large techno
Externí odkaz:
http://arxiv.org/abs/2312.14231
We describe the design of an immersive virtual Cyberball task that included avatar customization, and user feedback on this design. We first created a prototype of an avatar customization template and added it to a Cyberball prototype built in the Un
Externí odkaz:
http://arxiv.org/abs/2312.02897
Autor:
Pandita, Deepika, Vapiwala, Fatima
Publikováno v:
Journal of Strategy and Management, 2023, Vol. 17, Issue 3, pp. 427-443.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JSMA-02-2022-0041
Autor:
Vapiwala, Fatima, Pandita, Deepika
Publikováno v:
International Journal of Conflict Management, 2023, Vol. 35, Issue 4, pp. 633-657.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJCMA-12-2022-0211
Autor:
Choudhary, Himani, Pandita, Deepika
Publikováno v:
Industrial and Commercial Training, 2024, Vol. 56, Issue 3, pp. 258-269.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ICT-12-2023-0085