Search Results - "Clive, Jordan"

Revisiting the Electrified Pt(111)/Water Interfaces through an Affordable Double-Reference ab-initio Approach by Hinsch, Jack Jon, Bouzid, Assil, Barker, Jordan Clive, White, Jessica Jein, Mortier, Fabien, Zhao, Huijun, Wang, Yun

“…J. Phys. Chem. C. (2023) The electrified solid-liquid interface plays an essential role in many renewable energy-related applications, including hydrogen…”
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FABSA: An aspect-based sentiment analysis dataset of user reviews by Kontonatsios, Georgios, Clive, Jordan, Harrison, Georgia, Metcalfe, Thomas, Sliwiak, Patrycja, Tahir, Hassan, Ghose, Aji

“…Aspect-based sentiment analysis (ABSA) aims at automatically extracting aspects of entities and classifying the polarity of each extracted aspect. The majority…”
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Revisiting the Electrified Pt(111)/Water Interfaces through an Affordable Double-Reference Ab Initio Approach by Hinsch, Jack Jon, Bouzid, Assil, Barker, Jordan Clive, White, Jessica Jein, Mortier, Fabien, Zhao, Huijun, Wang, Yun

“…The electrified solid–liquid interface plays an essential role in many renewable energy-related applications, including hydrogen production and utilization…”
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Control Prefixes for Parameter-Efficient Text Generation by Clive, Jordan, Cao, Kris, Rei, Marek

“…Prefix-tuning is a powerful lightweight technique for adapting a large pre-trained language model to a downstream application. However, it uses the same…”
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Lessons from the Trenches on Reproducible Evaluation of Language Models by Biderman, Stella, Schoelkopf, Hailey, Sutawika, Lintang, Gao, Leo, Tow, Jonathan, Abbasi, Baber, Aji, Alham Fikri, Ammanamanchi, Pawan Sasanka, Black, Sidney, Clive, Jordan, DiPofi, Anthony, Etxaniz, Julen, Fattori, Benjamin, Forde, Jessica Zosa, Foster, Charles, Hsu, Jeffrey, Jaiswal, Mimansa, Lee, Wilson Y, Li, Haonan, Lovering, Charles, Muennighoff, Niklas, Pavlick, Ellie, Phang, Jason, Skowron, Aviya, Tan, Samson, Tang, Xiangru, Wang, Kevin A, Winata, Genta Indra, Yvon, François, Zou, Andy

“…Effective evaluation of language models remains an open challenge in NLP. Researchers and engineers face methodological issues such as the sensitivity of…”
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Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order by Nakamura, Taishi, Mishra, Mayank, Tedeschi, Simone, Chai, Yekun, Stillerman, Jason T, Friedrich, Felix, Yadav, Prateek, Laud, Tanmay, Chien, Vu Minh, Zhuo, Terry Yue, Misra, Diganta, Bogin, Ben, Vu, Xuan-Son, Karpinska, Marzena, Dantuluri, Arnav Varma, Kusa, Wojciech, Furlanello, Tommaso, Yokota, Rio, Muennighoff, Niklas, Pai, Suhas, Adewumi, Tosin, Laippala, Veronika, Yao, Xiaozhe, Junior, Adalberto, Ariyak, Alpay, Drozd, Aleksandr, Clive, Jordan, Gupta, Kshitij, Chen, Liangyu, Sun, Qi, Tsui, Ken, Persaud, Noah, Fahmy, Nour, Chen, Tianlong, Bansal, Mohit, Monti, Nicolo, Dang, Tai, Luo, Ziyang, Bui, Tien-Tung, Navigli, Roberto, Mehta, Virendra, Blumberg, Matthew, May, Victor, Nguyen, Huu, Pyysalo, Sampo

“…Pretrained language models underpin several AI applications, but their high computational cost for training limits accessibility. Initiatives such as BLOOM and…”
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GEMv2: Multilingual NLG Benchmarking in a Single Line of Code by Gehrmann, Sebastian, Bhattacharjee, Abhik, Mahendiran, Abinaya, Wang, Alex, Papangelis, Alexandros, Madaan, Aman, McMillan-Major, Angelina, Shvets, Anna, Upadhyay, Ashish, Yao, Bingsheng, Wilie, Bryan, Bhagavatula, Chandra, You, Chaobin, Thomson, Craig, Garbacea, Cristina, Wang, Dakuo, Deutsch, Daniel, Xiong, Deyi, Jin, Di, Gkatzia, Dimitra, Radev, Dragomir, Clark, Elizabeth, Durmus, Esin, Ladhak, Faisal, Ginter, Filip, Winata, Genta Indra, Strobelt, Hendrik, Hayashi, Hiroaki, Novikova, Jekaterina, Kanerva, Jenna, Chim, Jenny, Zhou, Jiawei, Clive, Jordan, Maynez, Joshua, Sedoc, João, Juraska, Juraj, Dhole, Kaustubh, Chandu, Khyathi Raghavi, Perez-Beltrachini, Laura, Ribeiro, Leonardo F. R, Tunstall, Lewis, Zhang, Li, Pushkarna, Mahima, Creutz, Mathias, White, Michael, Kale, Mihir Sanjay, Eddine, Moussa Kamal, Daheim, Nico, Subramani, Nishant, Dusek, Ondrej, Liang, Paul Pu, Ammanamanchi, Pawan Sasanka, Zhu, Qi, Puduppully, Ratish, Kriz, Reno, Shahriyar, Rifat, Cardenas, Ronald, Mahamood, Saad, Osei, Salomey, Cahyawijaya, Samuel, Štajner, Sanja, Montella, Sebastien, Shailza, Jolly, Shailza, Mille, Simon, Hasan, Tahmid, Shen, Tianhao, Adewumi, Tosin, Raunak, Vikas, Raheja, Vipul, Nikolaev, Vitaly, Tsai, Vivian, Jernite, Yacine, Xu, Ying, Sang, Yisi, Liu, Yixin, Hou, Yufang

“…Evaluation in machine learning is usually informed by past choices, for example which datasets or metrics to use. This standardization enables the comparison…”
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BT plans outsourcing deal with Xansa by Mathieson Jordan, Clive Dearbail

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Taking up cudgels for the needy by RIX, BRIAN, SMART, CAROL, MORLEY, BOB, HEGINBOTHAM, CHRIS, HOODLESS, LIZ, COX, JOHN, SOMMERFELD, PAUL, LIPMAN, VALERIE, JORDAN, CLIVE, WILSON, GEORGE

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