Zobrazeno 1 - 10
of 442
pro vyhledávání: '"Liu, Jialu"'
Autor:
Shen, Jiaming, Liu, Tianqi, Liu, Jialu, Qin, Zhen, Pavagadhi, Jay, Baumgartner, Simon, Bendersky, Michael
The popularity of automated news headline generation has surged with advancements in pre-trained language models. However, these models often suffer from the ``hallucination'' problem, where the generated headline is not fully supported by its source
Externí odkaz:
http://arxiv.org/abs/2407.15975
Autor:
Zhang, Rongzhi, Shen, Jiaming, Liu, Tianqi, Wang, Haorui, Qin, Zhen, Han, Feng, Liu, Jialu, Baumgartner, Simon, Bendersky, Michael, Zhang, Chao
Large Language Models (LLMs) have exhibited impressive capabilities in various tasks, yet their vast parameter sizes restrict their applicability in resource-constrained settings. Knowledge distillation (KD) offers a viable solution by transferring e
Externí odkaz:
http://arxiv.org/abs/2406.02886
Autor:
Liu, Tianqi, Qin, Zhen, Wu, Junru, Shen, Jiaming, Khalman, Misha, Joshi, Rishabh, Zhao, Yao, Saleh, Mohammad, Baumgartner, Simon, Liu, Jialu, Liu, Peter J., Wang, Xuanhui
Aligning language models (LMs) with curated human feedback is critical to control their behaviors in real-world applications. Several recent policy optimization methods, such as DPO and SLiC, serve as promising alternatives to the traditional Reinfor
Externí odkaz:
http://arxiv.org/abs/2402.01878
We study the influence minimization problem: given a graph $G$ and a seed set $S$, blocking at most $b$ nodes or $b$ edges such that the influence spread of the seed set is minimized. This is a pivotal yet underexplored aspect of network analytics, w
Externí odkaz:
http://arxiv.org/abs/2312.17488
Autor:
Yang, Kaiyuan, Musio, Fabio, Ma, Yihui, Juchler, Norman, Paetzold, Johannes C., Al-Maskari, Rami, Höher, Luciano, Li, Hongwei Bran, Hamamci, Ibrahim Ethem, Sekuboyina, Anjany, Shit, Suprosanna, Huang, Houjing, Prabhakar, Chinmay, de la Rosa, Ezequiel, Waldmannstetter, Diana, Kofler, Florian, Navarro, Fernando, Menten, Martin, Ezhov, Ivan, Rueckert, Daniel, Vos, Iris, Ruigrok, Ynte, Velthuis, Birgitta, Kuijf, Hugo, Hämmerli, Julien, Wurster, Catherine, Bijlenga, Philippe, Westphal, Laura, Bisschop, Jeroen, Colombo, Elisa, Baazaoui, Hakim, Makmur, Andrew, Hallinan, James, Wiestler, Bene, Kirschke, Jan S., Wiest, Roland, Montagnon, Emmanuel, Letourneau-Guillon, Laurent, Galdran, Adrian, Galati, Francesco, Falcetta, Daniele, Zuluaga, Maria A., Lin, Chaolong, Zhao, Haoran, Zhang, Zehan, Ra, Sinyoung, Hwang, Jongyun, Park, Hyunjin, Chen, Junqiang, Wodzinski, Marek, Müller, Henning, Shi, Pengcheng, Liu, Wei, Ma, Ting, Yalçin, Cansu, Hamadache, Rachika E., Salvi, Joaquim, Llado, Xavier, Estrada, Uma Maria Lal-Trehan, Abramova, Valeriia, Giancardo, Luca, Oliver, Arnau, Liu, Jialu, Huang, Haibin, Cui, Yue, Lin, Zehang, Liu, Yusheng, Zhu, Shunzhi, Patel, Tatsat R., Tutino, Vincent M., Orouskhani, Maysam, Wang, Huayu, Mossa-Basha, Mahmud, Zhu, Chengcheng, Rokuss, Maximilian R., Kirchhoff, Yannick, Disch, Nico, Holzschuh, Julius, Isensee, Fabian, Maier-Hein, Klaus, Sato, Yuki, Hirsch, Sven, Wegener, Susanne, Menze, Bjoern
The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to affect the risk, severity, and clinical outcome of serious neuro-vascular diseases. However, character
Externí odkaz:
http://arxiv.org/abs/2312.17670
Autor:
Ayyubi, Hammad A., Liu, Tianqi, Nagrani, Arsha, Lin, Xudong, Zhang, Mingda, Arnab, Anurag, Han, Feng, Zhu, Yukun, Liu, Jialu, Chang, Shih-Fu
Existing popular video captioning benchmarks and models deal with generic captions devoid of specific person, place or organization named entities. In contrast, news videos present a challenging setting where the caption requires such named entities
Externí odkaz:
http://arxiv.org/abs/2312.02188
Autor:
Yan, Jing Nathan, Liu, Tianqi, Chiu, Justin T, Shen, Jiaming, Qin, Zhen, Yu, Yue, Zhao, Yao, Lakshmanan, Charu, Kurzion, Yair, Rush, Alexander M., Liu, Jialu, Bendersky, Michael
Comparative reasoning plays a crucial role in text preference prediction; however, large language models (LLMs) often demonstrate inconsistencies in their reasoning. While approaches like Chain-of-Thought improve accuracy in many other settings, they
Externí odkaz:
http://arxiv.org/abs/2311.08390
Autor:
Yu, Yue, Shen, Jiaming, Liu, Tianqi, Qin, Zhen, Yan, Jing Nathan, Liu, Jialu, Zhang, Chao, Bendersky, Michael
Large language models (LLMs) have shown remarkable capabilities in various natural language understanding tasks. With only a few demonstration examples, these LLMs can quickly adapt to target tasks without expensive gradient updates. Common strategie
Externí odkaz:
http://arxiv.org/abs/2311.07099
Autor:
Liu, Meng, Zhang, Mingda, Liu, Jialu, Dai, Hanjun, Yang, Ming-Hsuan, Ji, Shuiwang, Feng, Zheyun, Gong, Boqing
In this paper, we present a novel problem, namely video timeline modeling. Our objective is to create a video-associated timeline from a set of videos related to a specific topic, thereby facilitating the content and structure understanding of the st
Externí odkaz:
http://arxiv.org/abs/2309.13446
Autor:
Liu, Tianqi, Zhao, Yao, Joshi, Rishabh, Khalman, Misha, Saleh, Mohammad, Liu, Peter J., Liu, Jialu
Improving the alignment of language models with human preferences remains an active research challenge. Previous approaches have primarily utilized Reinforcement Learning from Human Feedback (RLHF) via online RL methods such as Proximal Policy Optimi
Externí odkaz:
http://arxiv.org/abs/2309.06657