Zobrazeno 1 - 10
of 294
pro vyhledávání: '"Chen, Changyou"'
Large multimodal language models have demonstrated impressive capabilities in understanding and manipulating images. However, many of these models struggle with comprehending intensive textual contents embedded within the images, primarily due to the
Externí odkaz:
http://arxiv.org/abs/2407.19185
Autor:
Chen, Changyou, Ding, Han, Sisman, Bunyamin, Xu, Yi, Xie, Ouye, Yao, Benjamin Z., Tran, Son Dinh, Zeng, Belinda
Diffusion-based generative modeling has been achieving state-of-the-art results on various generation tasks. Most diffusion models, however, are limited to a single-generation modeling. Can we generalize diffusion models with the ability of multi-mod
Externí odkaz:
http://arxiv.org/abs/2407.17571
Prompt Tuning has emerged as a prominent research paradigm for adapting vision-language models to various downstream tasks. However, recent research indicates that prompt tuning methods often lead to overfitting due to limited training samples. In th
Externí odkaz:
http://arxiv.org/abs/2407.15894
Autor:
Zhang, Ruiyi, Zhang, Yanzhe, Chen, Jian, Zhou, Yufan, Gu, Jiuxiang, Chen, Changyou, Sun, Tong
Large multimodal language models have shown remarkable proficiency in understanding and editing images. However, a majority of these visually-tuned models struggle to comprehend the textual content embedded in images, primarily due to the limitation
Externí odkaz:
http://arxiv.org/abs/2406.06730
Autor:
Singh, Somesh, S I, Harini, Singla, Yaman K, Baths, Veeky, Shah, Rajiv Ratn, Chen, Changyou, Krishnamurthy, Balaji
Communication is defined as "Who says what to whom with what effect." A message from a communicator generates downstream receiver effects, also known as behavior. Receiver behavior, being a downstream effect of the message, carries rich signals about
Externí odkaz:
http://arxiv.org/abs/2405.00942
We introduce a novel machine unlearning framework founded upon the established principles of the min-max optimization paradigm. We capitalize on the capabilities of strong Membership Inference Attacks (MIA) to facilitate the unlearning of specific sa
Externí odkaz:
http://arxiv.org/abs/2402.06864
Autor:
Chen, Jian, Zhang, Ruiyi, Zhou, Yufan, Jain, Rajiv, Xu, Zhiqiang, Rossi, Ryan, Chen, Changyou
Controllable layout generation refers to the process of creating a plausible visual arrangement of elements within a graphic design (e.g., document and web designs) with constraints representing design intentions. Although recent diffusion-based mode
Externí odkaz:
http://arxiv.org/abs/2402.04754
Autor:
Khurana, Varun, Singla, Yaman K, Subramanian, Jayakumar, Shah, Rajiv Ratn, Chen, Changyou, Xu, Zhiqiang, Krishnamurthy, Balaji
The last few years have witnessed great success on image generation, which has crossed the acceptance thresholds of aesthetics, making it directly applicable to personal and commercial applications. However, images, especially in marketing and advert
Externí odkaz:
http://arxiv.org/abs/2311.10995
Named entity recognition (NER), a task that identifies and categorizes named entities such as persons or organizations from text, is traditionally framed as a multi-class classification problem. However, this approach often overlooks the issues of im
Externí odkaz:
http://arxiv.org/abs/2311.04918
Autor:
S I, Harini, Singh, Somesh, Singla, Yaman K, Bhattacharyya, Aanisha, Baths, Veeky, Chen, Changyou, Shah, Rajiv Ratn, Krishnamurthy, Balaji
Marketers spend billions of dollars on advertisements, but to what end? At purchase time, if customers cannot recognize the brand for which they saw an ad, the money spent on the ad is essentially wasted. Despite its importance in marketing, until no
Externí odkaz:
http://arxiv.org/abs/2309.00378