Zobrazeno 1 - 10
of 2 110
pro vyhledávání: '"Litman P"'
Autor:
Litman, Yehonathan, Patashnik, Or, Deng, Kangle, Agrawal, Aviral, Zawar, Rushikesh, De la Torre, Fernando, Tulsiani, Shubham
Recent works in inverse rendering have shown promise in using multi-view images of an object to recover shape, albedo, and materials. However, the recovered components often fail to render accurately under new lighting conditions due to the intrinsic
Externí odkaz:
http://arxiv.org/abs/2409.15273
Autor:
Abramovich, Ofir, Nayman, Niv, Fogel, Sharon, Lavi, Inbal, Litman, Ron, Tsiper, Shahar, Tichauer, Royee, Appalaraju, Srikar, Mazor, Shai, Manmatha, R.
In recent years, notable advancements have been made in the domain of visual document understanding, with the prevailing architecture comprising a cascade of vision and language models. The text component can either be extracted explicitly with the u
Externí odkaz:
http://arxiv.org/abs/2407.12594
Generating free-text rationales is among the emergent capabilities of Large Language Models (LLMs). These rationales have been found to enhance LLM performance across various NLP tasks. Recently, there has been growing interest in using these rationa
Externí odkaz:
http://arxiv.org/abs/2406.13905
Automatically assessing classroom discussion quality is becoming increasingly feasible with the help of new NLP advancements such as large language models (LLMs). In this work, we examine how the assessment performance of 2 LLMs interacts with 3 fact
Externí odkaz:
http://arxiv.org/abs/2406.08680
Autor:
Hsu, Benjamin, Liu, Xiaoyu, Li, Huayang, Fujinuma, Yoshinari, Nadejde, Maria, Niu, Xing, Kittenplon, Yair, Litman, Ron, Pappagari, Raghavendra
Document translation poses a challenge for Neural Machine Translation (NMT) systems. Most document-level NMT systems rely on meticulously curated sentence-level parallel data, assuming flawless extraction of text from documents along with their preci
Externí odkaz:
http://arxiv.org/abs/2406.08255
Autor:
Litman, Yair, Kapil, Venkat, Feldman, Yotam M. Y., Tisi, Davide, Begušić, Tomislav, Fidanyan, Karen, Fraux, Guillaume, Higer, Jacob, Kellner, Matthias, Li, Tao E., Pós, Eszter S., Stocco, Elia, Trenins, George, Hirshberg, Barak, Rossi, Mariana, Ceriotti, Michele
Atomic-scale simulations have progressed tremendously over the past decade, largely due to the availability of machine-learning interatomic potentials. These potentials combine the accuracy of electronic structure calculations with the ability to rea
Externí odkaz:
http://arxiv.org/abs/2405.15224
Autor:
Asano, Yuya, Litman, Diane, King-Shepard, Quentin, Maidment, Tristan, Langley, Tyree, Davison, Teresa, Nokes-Malach, Timothy, Kovashka, Adriana, Walker, Erin
One of the keys to the success of collaborative learning is balanced participation by all learners, but this does not always happen naturally. Pedagogical robots have the potential to facilitate balance. However, it remains unclear what participation
Externí odkaz:
http://arxiv.org/abs/2405.11092
Autor:
Tran, Nhat, Litman, Diane
Knowledge retrieval is one of the major challenges in building a knowledge-grounded dialogue system. A common method is to use a neural retriever with a distributed approximate nearest-neighbor database to quickly find the relevant knowledge sentence
Externí odkaz:
http://arxiv.org/abs/2405.04713
Autor:
Bridge, Oliver, Lazzaroni, Paolo, Martinazzo, Rocco, Rossi, Mariana, Althorpe, Stuart C., Litman, Yair
Publikováno v:
Journal of Chemical Physics 2024
We investigate whether making the friction spatially dependent on the reaction coordinate introduces quantum effects into the thermal reaction rates for dissipative reactions. Quantum rates are calculated using the numerically exact multi-configurati
Externí odkaz:
http://arxiv.org/abs/2405.00512
Autor:
Kennington, Casey, Alikhani, Malihe, Pon-Barry, Heather, Atwell, Katherine, Bisk, Yonatan, Fried, Daniel, Gervits, Felix, Han, Zhao, Inan, Mert, Johnston, Michael, Korpan, Raj, Litman, Diane, Marge, Matthew, Matuszek, Cynthia, Mead, Ross, Mohan, Shiwali, Mooney, Raymond, Parde, Natalie, Sinapov, Jivko, Stewart, Angela, Stone, Matthew, Tellex, Stefanie, Williams, Tom
The ability to interact with machines using natural human language is becoming not just commonplace, but expected. The next step is not just text interfaces, but speech interfaces and not just with computers, but with all machines including robots. I
Externí odkaz:
http://arxiv.org/abs/2404.01158