Zobrazeno 1 - 10
of 35 846
pro vyhledávání: '"P. Salim"'
We introduce a general definition of a $n$-crossed module of $P$-algebras over an algebraic operad $P$, which coincides with historical definitions in the cases of the operads As and Lie and $n = 1$. We establish a natural isomorphism between the abe
Externí odkaz:
http://arxiv.org/abs/2411.04614
Nature-inspired computation is receiving increasing attention. Various Ising machine implementations have recently been proven to be effective in solving numerous combinatorial optimization problems including maximum cut, low density parity check (LD
Externí odkaz:
http://arxiv.org/abs/2411.01028
Recent advancements in Large Language Models (LLMs) have significantly improved text generation capabilities, but these systems are still known to hallucinate, and granular uncertainty estimation for long-form LLM generations remains challenging. In
Externí odkaz:
http://arxiv.org/abs/2410.20783
Climate models serve as critical tools for evaluating the effects of climate change and projecting future climate scenarios. However, the reliance on numerical simulations of physical equations renders them computationally intensive and inefficient.
Externí odkaz:
http://arxiv.org/abs/2410.21657
Traditional POI recommendation systems often lack transparency, interpretability, and scrutability due to their reliance on dense vector-based user embeddings. Furthermore, the cold-start problem -- where systems have insufficient data for new users
Externí odkaz:
http://arxiv.org/abs/2410.20643
Explainable AI (XAI) aims to support appropriate human-AI reliance by increasing the interpretability of complex model decisions. Despite the proliferation of proposed methods, there is mixed evidence surrounding the effects of different styles of XA
Externí odkaz:
http://arxiv.org/abs/2410.20067
Autor:
Aissi, Mohamed Salim, Romac, Clement, Carta, Thomas, Lamprier, Sylvain, Oudeyer, Pierre-Yves, Sigaud, Olivier, Soulier, Laure, Thome, Nicolas
Reinforcement learning (RL) is a promising approach for aligning large language models (LLMs) knowledge with sequential decision-making tasks. However, few studies have thoroughly investigated the impact on LLM agents capabilities of fine-tuning them
Externí odkaz:
http://arxiv.org/abs/2410.19920
Autor:
Sierra, Elena, Gillespie, Lauren E., Soltani, Salim, Exposito-Alonso, Moises, Kattenborn, Teja
Climate change is negatively impacting the world's biodiversity. To build automated systems to monitor these negative biodiversity impacts, large-scale, volunteer-collected datasets like iNaturalist are built from community-identified, natural imager
Externí odkaz:
http://arxiv.org/abs/2410.19816
Autor:
Winata, Genta Indra, Hudi, Frederikus, Irawan, Patrick Amadeus, Anugraha, David, Putri, Rifki Afina, Wang, Yutong, Nohejl, Adam, Prathama, Ubaidillah Ariq, Ousidhoum, Nedjma, Amriani, Afifa, Rzayev, Anar, Das, Anirban, Pramodya, Ashmari, Adila, Aulia, Wilie, Bryan, Mawalim, Candy Olivia, Cheng, Ching Lam, Abolade, Daud, Chersoni, Emmanuele, Santus, Enrico, Ikhwantri, Fariz, Kuwanto, Garry, Zhao, Hanyang, Wibowo, Haryo Akbarianto, Lovenia, Holy, Cruz, Jan Christian Blaise, Putra, Jan Wira Gotama, Myung, Junho, Susanto, Lucky, Machin, Maria Angelica Riera, Zhukova, Marina, Anugraha, Michael, Adilazuarda, Muhammad Farid, Santosa, Natasha, Limkonchotiwat, Peerat, Dabre, Raj, Audino, Rio Alexander, Cahyawijaya, Samuel, Zhang, Shi-Xiong, Salim, Stephanie Yulia, Zhou, Yi, Gui, Yinxuan, Adelani, David Ifeoluwa, Lee, En-Shiun Annie, Okada, Shogo, Purwarianti, Ayu, Aji, Alham Fikri, Watanabe, Taro, Wijaya, Derry Tanti, Oh, Alice, Ngo, Chong-Wah
Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate their understanding of such knowledge, we introduce WorldCuisines, a mas
Externí odkaz:
http://arxiv.org/abs/2410.12705
In this work, we bridge the gap between wearable sensor technology and personalized AI assistants by enabling Large Language Models (LLMs) to understand time-series tasks like human activity recognition (HAR). Despite the strong reasoning and general
Externí odkaz:
http://arxiv.org/abs/2410.10624