Zobrazeno 1 - 10
of 358
pro vyhledávání: '"NESS, ROBERT"'
Autor:
Ness, Robert Osazuwa, Matton, Katie, Helm, Hayden, Zhang, Sheng, Bajwa, Junaid, Priebe, Carey E., Horvitz, Eric
Large language models (LLM) have achieved impressive performance on medical question-answering benchmarks. However, high benchmark accuracy does not imply that the performance generalizes to real-world clinical settings. Medical question-answering be
Externí odkaz:
http://arxiv.org/abs/2406.06573
Robot object manipulation in real-world environments is challenging because robot operation must be robust to a range of sensing, estimation, and actuation uncertainties to avoid potentially unsafe and costly mistakes that are a barrier to their adop
Externí odkaz:
http://arxiv.org/abs/2403.14488
Autor:
Momennejad, Ida, Hasanbeig, Hosein, Vieira, Felipe, Sharma, Hiteshi, Ness, Robert Osazuwa, Jojic, Nebojsa, Palangi, Hamid, Larson, Jonathan
Recently an influx of studies claim emergent cognitive abilities in large language models (LLMs). Yet, most rely on anecdotes, overlook contamination of training sets, or lack systematic Evaluation involving multiple tasks, control conditions, multip
Externí odkaz:
http://arxiv.org/abs/2309.15129
Autor:
Sharma, Somya, Sharma, Swati, Liu, Licheng, Tushir, Rishabh, Neal, Andy, Ness, Robert, Crawford, John, Kiciman, Emre, Chandra, Ranveer
An improved understanding of soil can enable more sustainable land-use practices. Nevertheless, soil is called a complex, living medium due to the complex interaction of different soil processes that limit our understanding of soil. Process-based mod
Externí odkaz:
http://arxiv.org/abs/2306.09302
The causal capabilities of large language models (LLMs) are a matter of significant debate, with critical implications for the use of LLMs in societally impactful domains such as medicine, science, law, and policy. We conduct a "behavorial" study of
Externí odkaz:
http://arxiv.org/abs/2305.00050
Autor:
Mohammad-Taheri, Sara, Zucker, Jeremy, Hoyt, Charles Tapley, Sachs, Karen, Tewari, Vartika, Ness, Robert, Vitek, and Olga
Publikováno v:
Bioinformatics 38(2022): i350-i358
Estimating causal queries, such as changes in protein abundance in response to a perturbation, is a fundamental task in the analysis of biomolecular pathways. The estimation requires experimental measurements on the pathway components. However, in pr
Externí odkaz:
http://arxiv.org/abs/2102.06626
Autor:
Zucker, Jeremy, Paneri, Kaushal, Mohammad-Taheri, Sara, Bhargava, Somya, Kolambkar, Pallavi, Bakker, Craig, Teuton, Jeremy, Hoyt, Charles Tapley, Oxford, Kristie, Ness, Robert, Vitek, Olga
Counterfactual inference is a useful tool for comparing outcomes of interventions on complex systems. It requires us to represent the system in form of a structural causal model, complete with a causal diagram, probabilistic assumptions on exogenous
Externí odkaz:
http://arxiv.org/abs/2101.05136
This manuscript contributes a general and practical framework for casting a Markov process model of a system at equilibrium as a structural causal model, and carrying out counterfactual inference. Markov processes mathematically describe the mechanis
Externí odkaz:
http://arxiv.org/abs/1911.02175
Publikováno v:
In Journal of Financial Markets June 2023 64
Publikováno v:
China Finance Review International, 2022, Vol. 12, Issue 3, pp. 353-377.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CFRI-02-2022-0013