Zobrazeno 1 - 10
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pro vyhledávání: '"RIBEIRO P. F"'
Inspired by recent visible pump - infrared probe spectra reported for molecular catalysts adsorbed to quantum dots, we introduce a theory of non-equilibrium vibronic Fano resonances arising from the interference of quantum dot excited-state intraband
Externí odkaz:
http://arxiv.org/abs/2410.11793
Augmenting Large Language Models (LLMs) with information retrieval capabilities (i.e., Retrieval-Augmented Generation (RAG)) has proven beneficial for knowledge-intensive tasks. However, understanding users' contextual search intent when generating r
Externí odkaz:
http://arxiv.org/abs/2409.15515
Autor:
Cho, Hyundong, Jedema, Nicolaas, Ribeiro, Leonardo F. R., Sharma, Karishma, Szekely, Pedro, Moschitti, Alessandro, Janssen, Ruben, May, Jonathan
Current instruction-tuned language models are exclusively trained with textual preference data and thus are often not aligned with the unique requirements of other modalities, such as speech. To better align language models with the speech domain, we
Externí odkaz:
http://arxiv.org/abs/2409.14672
Vibrational strong light-matter coupling offers a promising approach for controlling chemical reactivity with infrared microcavities. While recent research has examined potential mechanisms for this phenomenon, many important questions remain, includ
Externí odkaz:
http://arxiv.org/abs/2409.09000
Autor:
Wang, Zhuoer, Ribeiro, Leonardo F. R., Papangelis, Alexandros, Mukherjee, Rohan, Wang, Tzu-Yen, Zhao, Xinyan, Biswas, Arijit, Caverlee, James, Metallinou, Angeliki
API call generation is the cornerstone of large language models' tool-using ability that provides access to the larger world. However, existing supervised and in-context learning approaches suffer from high training costs, poor data efficiency, and g
Externí odkaz:
http://arxiv.org/abs/2407.13945
Autor:
José, Marcos M., Cação, Flávio N., Ribeiro, Maria F., Cheang, Rafael M., Pirozelli, Paulo, Cozman, Fabio G.
This paper proposes a novel architecture to generate multi-hop answers to open domain questions that require information from texts and tables, using the Open Table-and-Text Question Answering dataset for validation and training. One of the most comm
Externí odkaz:
http://arxiv.org/abs/2407.04858
Autor:
Gabburo, Matteo, Jedema, Nicolaas Paul, Garg, Siddhant, Ribeiro, Leonardo F. R., Moschitti, Alessandro
In this paper, we investigate which questions are challenging for retrieval-based Question Answering (QA). We (i) propose retrieval complexity (RC), a novel metric conditioned on the completeness of retrieved documents, which measures the difficulty
Externí odkaz:
http://arxiv.org/abs/2406.03592
Autor:
Nawrath, Marcel, Nowak, Agnieszka, Ratz, Tristan, Walenta, Danilo C., Opitz, Juri, Ribeiro, Leonardo F. R., Sedoc, João, Deutsch, Daniel, Mille, Simon, Liu, Yixin, Zhang, Lining, Gehrmann, Sebastian, Mahamood, Saad, Clinciu, Miruna, Chandu, Khyathi, Hou, Yufang
At the heart of the Pyramid evaluation method for text summarization lie human written summary content units (SCUs). These SCUs are concise sentences that decompose a summary into small facts. Such SCUs can be used to judge the quality of a candidate
Externí odkaz:
http://arxiv.org/abs/2404.01701
Excitation energy transport can be significantly enhanced by strong light-matter interactions. In the present work, we explore intriguing features of coherent transient exciton wave packet dynamics on a lossless disordered polaritonic wire. Our main
Externí odkaz:
http://arxiv.org/abs/2311.07940
Readability refers to how easily a reader can understand a written text. Several factors affect the readability level, such as the complexity of the text, its subject matter, and the reader's background knowledge. Generating summaries based on differ
Externí odkaz:
http://arxiv.org/abs/2310.10623