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pro vyhledávání: '"Batra, Hunar"'
Autor:
Batra, Hunar, Clark, Ronald
Continual learning aims to allow models to learn new tasks without forgetting what has been learned before. This work introduces Elastic Variational Continual Learning with Weight Consolidation (EVCL), a novel hybrid model that integrates the variati
Externí odkaz:
http://arxiv.org/abs/2406.15972
Autor:
Chua, James, Rees, Edward, Batra, Hunar, Bowman, Samuel R., Michael, Julian, Perez, Ethan, Turpin, Miles
While chain-of-thought prompting (CoT) has the potential to improve the explainability of language model reasoning, it can systematically misrepresent the factors influencing models' behavior--for example, rationalizing answers in line with a user's
Externí odkaz:
http://arxiv.org/abs/2403.05518
Autor:
Batra, Hunar, Palawat, Gunjan Kanwar, Gupta, Kanika, Priadarshana, Supragya, Bajaj, Deepali, Bharti, Urmil
Publikováno v:
International Journal of Artificial Intelligence and Soft Computing; 2022, Vol. 7 Issue: 3 p228-241, 14p
Publikováno v:
International Journal of Information Technology; 20220101, Issue: Preprints p1-12, 12p