Zobrazeno 1 - 10
of 1 847
pro vyhledávání: '"Akshara AS"'
Autor:
Chen, Haolin, Feng, Yihao, Liu, Zuxin, Yao, Weiran, Prabhakar, Akshara, Heinecke, Shelby, Ho, Ricky, Mui, Phil, Savarese, Silvio, Xiong, Caiming, Wang, Huan
Large language models (LLMs) have shown impressive capabilities, but still struggle with complex reasoning tasks requiring multiple steps. While prompt-based methods like Chain-of-Thought (CoT) can improve LLM reasoning at inference time, optimizing
Externí odkaz:
http://arxiv.org/abs/2411.04282
Autor:
Huang, Kung-Hsiang, Prabhakar, Akshara, Dhawan, Sidharth, Mao, Yixin, Wang, Huan, Savarese, Silvio, Xiong, Caiming, Laban, Philippe, Wu, Chien-Sheng
Customer Relationship Management (CRM) systems are vital for modern enterprises, providing a foundation for managing customer interactions and data. Integrating AI agents into CRM systems can automate routine processes and enhance personalized servic
Externí odkaz:
http://arxiv.org/abs/2411.02305
Autor:
Chang, Matthew, Chhablani, Gunjan, Clegg, Alexander, Cote, Mikael Dallaire, Desai, Ruta, Hlavac, Michal, Karashchuk, Vladimir, Krantz, Jacob, Mottaghi, Roozbeh, Parashar, Priyam, Patki, Siddharth, Prasad, Ishita, Puig, Xavier, Rai, Akshara, Ramrakhya, Ram, Tran, Daniel, Truong, Joanne, Turner, John M., Undersander, Eric, Yang, Tsung-Yen
We present a benchmark for Planning And Reasoning Tasks in humaN-Robot collaboration (PARTNR) designed to study human-robot coordination in household activities. PARTNR tasks exhibit characteristics of everyday tasks, such as spatial, temporal, and h
Externí odkaz:
http://arxiv.org/abs/2411.00081
Autor:
Prabhakar, Akshara, Li, Yuanzhi, Narasimhan, Karthik, Kakade, Sham, Malach, Eran, Jelassi, Samy
Low-Rank Adaptation (LoRA) is a popular technique for parameter-efficient fine-tuning of Large Language Models (LLMs). We study how different LoRA modules can be merged to achieve skill composition -- testing the performance of the merged model on a
Externí odkaz:
http://arxiv.org/abs/2410.13025
We employ the Hopfield model as a simplified framework to explore both the memory deficits and the biochemical processes characteristic of Alzheimer's disease. By simulating neuronal death and synaptic degradation through increasing the number of sto
Externí odkaz:
http://arxiv.org/abs/2410.07503
Autor:
Zhang, Jianguo, Lan, Tian, Zhu, Ming, Liu, Zuxin, Hoang, Thai, Kokane, Shirley, Yao, Weiran, Tan, Juntao, Prabhakar, Akshara, Chen, Haolin, Liu, Zhiwei, Feng, Yihao, Awalgaonkar, Tulika, Murthy, Rithesh, Hu, Eric, Chen, Zeyuan, Xu, Ran, Niebles, Juan Carlos, Heinecke, Shelby, Wang, Huan, Savarese, Silvio, Xiong, Caiming
Autonomous agents powered by large language models (LLMs) have attracted significant research interest. However, the open-source community faces many challenges in developing specialized models for agent tasks, driven by the scarcity of high-quality
Externí odkaz:
http://arxiv.org/abs/2409.03215
Autor:
Viswanathan, Akshara, Byström, Amanda, Starkenburg, Else, Foppen, Anne, Straat, Jill, Montelius, Martin, Sestito, Federico, Venn, Kim A., Navarrete, Camila, Matsuno, Tadafumi, Martin, Nicolas F., Thomas, Guillaume F., Ardern-Arentsen, Anke, Battaglia, Giuseppina, Fouesneau, Morgan, Navarro, Julio, Vitali, Sara
Context: In the context of Galactic archaeology, the outer halo remains relatively unexplored with respect to its metallicity distribution, merger debris, and the abundance of known very/extremely metal-poor ([Fe/H]<-2.5) stars. Aim: We utilize the P
Externí odkaz:
http://arxiv.org/abs/2408.17250
This study aims to assess the potential of the upcoming PLATO mission to investigate exoplanet populations around stars in diverse Galactic environments, specifically focusing on the Milky Way thin disk, thick disk, and stellar halo. We aim to quanti
Externí odkaz:
http://arxiv.org/abs/2407.15917
Autor:
Min, So Yeon, Puig, Xavi, Chaplot, Devendra Singh, Yang, Tsung-Yen, Rai, Akshara, Parashar, Priyam, Salakhutdinov, Ruslan, Bisk, Yonatan, Mottaghi, Roozbeh
Language is never spoken in a vacuum. It is expressed, comprehended, and contextualized within the holistic backdrop of the speaker's history, actions, and environment. Since humans are used to communicating efficiently with situated language, the pr
Externí odkaz:
http://arxiv.org/abs/2407.12061
Chain-of-Thought (CoT) prompting has been shown to enhance the multi-step reasoning capabilities of Large Language Models (LLMs). However, debates persist about whether LLMs exhibit abstract generalization or rely on shallow heuristics when given CoT
Externí odkaz:
http://arxiv.org/abs/2407.01687