Zobrazeno 1 - 10
of 3 327
pro vyhledávání: '"A. Perot"'
Autor:
Wang, Zilong, Wang, Zifeng, Le, Long, Zheng, Huaixiu Steven, Mishra, Swaroop, Perot, Vincent, Zhang, Yuwei, Mattapalli, Anush, Taly, Ankur, Shang, Jingbo, Lee, Chen-Yu, Pfister, Tomas
Retrieval augmented generation (RAG) combines the generative abilities of large language models (LLMs) with external knowledge sources to provide more accurate and up-to-date responses. Recent RAG advancements focus on improving retrieval outcomes th
Externí odkaz:
http://arxiv.org/abs/2407.08223
Autor:
Lee, Jinhyuk, Chen, Anthony, Dai, Zhuyun, Dua, Dheeru, Sachan, Devendra Singh, Boratko, Michael, Luan, Yi, Arnold, Sébastien M. R., Perot, Vincent, Dalmia, Siddharth, Hu, Hexiang, Lin, Xudong, Pasupat, Panupong, Amini, Aida, Cole, Jeremy R., Riedel, Sebastian, Naim, Iftekhar, Chang, Ming-Wei, Guu, Kelvin
Long-context language models (LCLMs) have the potential to revolutionize our approach to tasks traditionally reliant on external tools like retrieval systems or databases. Leveraging LCLMs' ability to natively ingest and process entire corpora of inf
Externí odkaz:
http://arxiv.org/abs/2406.13121
Autor:
Wang, Zifeng, Li, Chun-Liang, Perot, Vincent, Le, Long T., Miao, Jin, Zhang, Zizhao, Lee, Chen-Yu, Pfister, Tomas
Instruction tuning has emerged as the key in aligning large language models (LLMs) with specific task instructions, thereby mitigating the discrepancy between the next-token prediction objective and users' actual goals. To reduce the labor and time c
Externí odkaz:
http://arxiv.org/abs/2404.05875
Autor:
Sarkhel, Ritesh, Ren, Xiaoqi, Costa, Lauro Beltrao, Su, Guolong, Perot, Vincent, Xie, Yanan, Koukoumidis, Emmanouil, Nandi, Arnab
A visually rich document (VRD) utilizes visual features along with linguistic cues to disseminate information. Training a custom extractor that identifies named entities from a document requires a large number of instances of the target document type
Externí odkaz:
http://arxiv.org/abs/2404.00488
Autor:
Wang, Zilong, Zhang, Hao, Li, Chun-Liang, Eisenschlos, Julian Martin, Perot, Vincent, Wang, Zifeng, Miculicich, Lesly, Fujii, Yasuhisa, Shang, Jingbo, Lee, Chen-Yu, Pfister, Tomas
Table-based reasoning with large language models (LLMs) is a promising direction to tackle many table understanding tasks, such as table-based question answering and fact verification. Compared with generic reasoning, table-based reasoning requires t
Externí odkaz:
http://arxiv.org/abs/2401.04398
Autor:
Perot, Vincent, Kang, Kai, Luisier, Florian, Su, Guolong, Sun, Xiaoyu, Boppana, Ramya Sree, Wang, Zilong, Wang, Zifeng, Mu, Jiaqi, Zhang, Hao, Lee, Chen-Yu, Hua, Nan
Large Language Models (LLM) have revolutionized Natural Language Processing (NLP), improving state-of-the-art and exhibiting emergent capabilities across various tasks. However, their application in extracting information from visually rich documents
Externí odkaz:
http://arxiv.org/abs/2309.10952
Autor:
Gavuthami Murugesan, Rachel L. Paterson, Rakesh Kulkarni, Veronica Ilkow, Richard J. Suckling, Mary M. Connolly, Vijaykumar Karuppiah, Robert Pengelly, Archana Jadhav, Jose Donoso, Tiaan Heunis, Wilawan Bunjobpol, Gwilym Philips, Kafayat Ololade, Daniel Kay, Anshuk Sarkar, Claire Barber, Ritu Raj, Carole Perot, Tressan Grant, Agatha Treveil, Andrew Walker, Marcin Dembek, Dawn Gibbs-Howe, Miriam Hock, Ricardo J. Carreira, Kate E. Atkin, Lucy Dorrell, Andrew Knox, Sarah Leonard, Mariolina Salio, Luis F. Godinho
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract The non-polymorphic HLA-E molecule offers opportunities for new universal immunotherapeutic approaches to chronic infectious diseases. Chronic Hepatitis B virus (HBV) infection is driven in part by T cell dysfunction due to elevated levels o
Externí odkaz:
https://doaj.org/article/3dc727caf8474340a5e4d1bb478f8c46
Autor:
Gabrielle Manteaux, Alix Amsel, Blanche Riquier-Morcant, Jaime Prieto Romero, Laurie Gayte, Benjamin Fourneaux, Marion Larroque, Nadège Gruel, Chloé Quignot, Gaelle Perot, Solenn Jacq, Madi Y. Cisse, Pascal Pomiès, Coralie Sengenes, Frédéric Chibon, Maud Heuillet, Floriant Bellvert, Sarah Watson, Sebastien Carrere, Nelly Firmin, Romain Riscal, Laetitia K. Linares
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Dedifferentiated and Well-differentiated liposarcoma are characterized by a systematic amplification of the Murine Double Minute 2 (MDM2) oncogene. We demonstrate that p53-independent metabolic functions of chromatin-bound MDM2 are exacerbat
Externí odkaz:
https://doaj.org/article/b0fec26a6a6443049f7aba6728e01c6f
Autor:
Lee, Chen-Yu, Li, Chun-Liang, Zhang, Hao, Dozat, Timothy, Perot, Vincent, Su, Guolong, Zhang, Xiang, Sohn, Kihyuk, Glushnev, Nikolai, Wang, Renshen, Ainslie, Joshua, Long, Shangbang, Qin, Siyang, Fujii, Yasuhisa, Hua, Nan, Pfister, Tomas
The recent advent of self-supervised pre-training techniques has led to a surge in the use of multimodal learning in form document understanding. However, existing approaches that extend the mask language modeling to other modalities require careful
Externí odkaz:
http://arxiv.org/abs/2305.02549
Autor:
Perot, Cameron
In this thesis we explore using the D-Wave Advantage 4.1 quantum annealer to sample from quantum Boltzmann distributions and train quantum Boltzmann machines (QBMs). We focus on the real-world problem of using QBMs as generative models to produce syn
Externí odkaz:
http://arxiv.org/abs/2301.13295