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pro vyhledávání: '"Richardson, Christopher A."'
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
Autor:
Barnes, Edwin, Bennett, Michael B., Boltasseva, Alexandra, Borish, Victoria, Brown, Bennett, Carr, Lincoln D., Ceballos, Russell R., Dukes, Faith, Easton, Emily W., Economou, Sophia E., Edwards, E. E., Finkelstein, Noah D., Fracchiolla, C., Franklin, Diana, Freericks, J. K., Goss, Valerie, Hannum, Mark, Holincheck, Nancy, Kelly, Angela M., Lanes, Olivia, Lewandowski, H. J., Matsler, Karen Jo, Mercurio, Emily, Montaño, Inès, Murdock, Maajida, Peltz, Kiera, Perron, Justin K., Richardson, Christopher J. K., Rosenberg, Jessica L., Ross, Richard S., Ryu, Minjung, Samuel, Raymond E., Schrode, Nicole, Schwamberger, Susan, Searles, Thomas A., Singh, Chandralekha, Tingle, Alexandra, Zwickl, Benjamin M.
In response to numerous programs seeking to advance quantum education and workforce development in the United States, experts from academia, industry, government, and professional societies convened for a National Science Foundation-sponsored worksho
Externí odkaz:
http://arxiv.org/abs/2410.23460
An emerging area of research in situated and multimodal interactive conversations (SIMMC) includes interactions in scientific papers. Since scientific papers are primarily composed of text, equations, figures, and tables, SIMMC methods must be develo
Externí odkaz:
http://arxiv.org/abs/2406.08398
This paper introduces Interactive Tables (iTBLS), a dataset of interactive conversations situated in tables from scientific articles. This dataset is designed to facilitate human-AI collaborative problem-solving through AI-powered multi-task tabular
Externí odkaz:
http://arxiv.org/abs/2404.12580
Distilling large, unstructured text into a structured, condensed form such as tables is an open research problem. One of the primary challenges in automatically generating tables is ensuring their syntactic validity. Prior approaches address this cha
Externí odkaz:
http://arxiv.org/abs/2403.14457
Autor:
Richardson, Christopher, Amir, Sabrina
Publikováno v:
Review of International Business and Strategy, 2024, Vol. 34, Issue 5, pp. 659-677.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIBS-03-2024-0025
Commonsense reasoning is a critical aspect of human communication. Despite recent advances in conversational AI driven by large language models, commonsense reasoning remains a challenging task. In this work, we introduce SYNDICOM - a method for impr
Externí odkaz:
http://arxiv.org/abs/2309.10015
Autor:
Larocque, Hugo, Buyukkaya, Mustafa Atabey, Errando-Herranz, Carlos, Harper, Samuel, Carolan, Jacques, Lee, Chang-Min, Richardson, Christopher J. K., Leake, Gerald L., Coleman, Daniel J., Fanto, Michael L., Waks, Edo, Englund, Dirk
Controlling large-scale many-body quantum systems at the level of single photons and single atomic systems is a central goal in quantum information science and technology. Intensive research and development has propelled foundry-based silicon-on-insu
Externí odkaz:
http://arxiv.org/abs/2306.06460
Autor:
Richardson, Christopher, Kar, Sudipta, Kumar, Anjishnu, Ramachandran, Anand, Khan, Omar Zia, Raeesy, Zeynab, Sethy, Abhinav
Open domain conversational agents can answer a broad range of targeted queries. However, the sequential nature of interaction with these systems makes knowledge exploration a lengthy task which burdens the user with asking a chain of well phrased que
Externí odkaz:
http://arxiv.org/abs/2302.10978