Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models

Autor: Cross, Logan, Xiang, Violet, Bhatia, Agam, Yamins, Daniel LK, Haber, Nick

Multi-agent reinforcement learning (MARL) methods struggle with the non-stationarity of multi-agent systems and fail to adaptively learn online when tested with novel agents. Here, we leverage large language models (LLMs) to create an autonomous agen

Externí odkaz: http://arxiv.org/abs/2407.07086

Search for baryon and lepton number violating decays $\boldsymbol{D \rightarrow p\ell}$

Autor: Belle Collaboration, Maity, S., Garg, R., Bahinipati, S., Bhardwaj, V., Aihara, H., Said, S. Al, Asner, DM, Atmacan, H., Aushev, T., Ayad, R., Babu, V., Banerjee, Sw., Bauer, M., Bennett, J., Bessner, M., Biswas, D., Bobrov, A., Bodrov, D., Bonvicini, G., Borah, J., Bračko, M., Branchini, P., Budano, A., Campajola, M., Červenkov, D., Chang, M. -C., Chang, P., Chilikin, K., Cho, H. E., Cho, K., Cho, S. -J., Choi, S. -K., Choi, Y., Choudhury, S., Das, S., Dash, N., De Pietro, G., Dhamija, R., Di Capua, F., Dingfelder, J., Dong, TV, Ecker, P., Epifanov, D., Ferber, T., Fulsom, BG, Gaur, V., Giri, A., Goldenzweig, P., Graziani, E., Gu, T., Gudkova, K., Hadjivasiliou, C., Hayasaka, K., Hayashii, H., Hazra, S., Hou, W. -S., Hsu, C. -L., Inami, K., Ipsita, N., Ishikawa, A., Itoh, R., Iwasaki, M., Jacobs, WW, Jin, Y., Kalita, D., Kiesling, C., Kim, CH, Kim, DY, Kinoshita, K., }, P. Kody\v{s, Korobov, A., Korpar, S., Križan, P., Krokovny, P., Kumar, M., Kumar, R., Kumara, K., Kuzmin, A., Kwon, Y. -J., Lam, T., Lee, SC, Levit, D., Li, LK, Li, Y., Li, YB, Gioi, L. Li, Lieret, K., Liventsev, D., Masuda, M., Matsuda, T., Matvienko, D., Maurya, SK, Meier, F., Merola, M., Metzner, F., Mizuk, R., Mohanty, G. B., Mussa, R., Nakao, M., Narwal, D., Natochii, A., Nayak, L., Nishida, S., Ogawa, S., Ono, H., Oskin, P., Pakhlova, G., Pardi, S., Park, H., Park, J., Park, S. -H., Passeri, A., Patra, S., Paul, S., Pedlar, TK, Pestotnik, R., Piilonen, LE, Podobnik, T., Prell, S., Prencipe, E., Prim, MT, Rout, N., Russo, G., Sakai, Y., Sandilya, S., Santelj., L., Savinov, V., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Shan, W., Sharma, C., Shiu, J. -G., Solovieva, E., Starič, M., Sumihama, M., Takizawa, M., Tanida, K., Tenchini, F., Trabelsi, K., Uchida, M., Uglov, T., Unno, Y., Uno, S., Urquijo, P., Usov, Y., Varvell, K. E., Wang, E., Wang, M. -Z., Watanuki, S., Wiechczynski, J., Xu, X., Yabsley, B. D., Yan, W., Yang, S. B., Yin, J. H., Yuan, L., Zhang, Z. P., Zhilich, V., Zhukova, V.

We search for the baryon and lepton number violating charm decays, $D \rightarrow p\ell$, where $D$ is either a $D^0$ or a $\overline{D}^0$ and $\ell$ is a muon or an electron, using a data sample of $921\,\mathrm{fb}^{-1}$ collected by the Belle det

Externí odkaz: http://arxiv.org/abs/2310.07412

Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties

Autor: Tung, Hsiao-Yu, Ding, Mingyu, Chen, Zhenfang, Bear, Daniel, Gan, Chuang, Tenenbaum, Joshua B., Yamins, Daniel LK, Fan, Judith E, Smith, Kevin A.

General physical scene understanding requires more than simply localizing and recognizing objects -- it requires knowledge that objects can have different latent properties (e.g., mass or elasticity), and that those properties affect the outcome of p

Externí odkaz: http://arxiv.org/abs/2306.15668

Accelerating Training of MLIPs Through Small-Cell Training

Autor: Meziere, Jason A., Luo, Yu, Zia, Yi, Beland, LK, Daymond, MR, Hart, Gus L. W.

While machine-learned interatomic potentials have become a mainstay for modeling materials, designing training sets that lead to robust potentials is challenging. Automated methods, such as active learning and on-the-fly learning, construct reliable

Externí odkaz: http://arxiv.org/abs/2304.01314

Socioeconomic adversity, maternal nutrition, and the prenatal programming of offspring cognition and language at two years of age through maternal inflammation

Autor: Gogos, Andrea, Thomson, Sarah, Drummond, Katherine, Holland, Lada, O’Hely, Martin, Dawson, Samantha, Marx, Wolfgang, Mansell, Toby, Burgner, David, Saffery, Richard, Sly, Peter, Collier, Fiona, Tang, Mimi LK, Symeonides, Christos, Vuillermin, Peter, Ponsonby, Anne-Louise

Publikováno v: In Brain Behavior and Immunity November 2024 122:471-482