Zobrazeno 1 - 10
of 5 830
pro vyhledávání: '"SUN, Feng"'
Autor:
Muhtar, Dilxat, Shen, Yelong, Yang, Yaming, Liu, Xiaodong, Lu, Yadong, Liu, Jianfeng, Zhan, Yuefeng, Sun, Hao, Deng, Weiwei, Sun, Feng, Zhang, Xueliang, Gao, Jianfeng, Chen, Weizhu, Zhang, Qi
In-context learning (ICL) allows large language models (LLMs) to adapt to new tasks directly from the given demonstrations without requiring gradient updates. While recent advances have expanded context windows to accommodate more demonstrations, thi
Externí odkaz:
http://arxiv.org/abs/2411.09289
Autor:
Ouyang, Yichen, Wang, Lu, Yang, Fangkai, Zhao, Pu, Huang, Chenghua, Liu, Jianfeng, Pang, Bochen, Yang, Yaming, Zhan, Yuefeng, Sun, Hao, Lin, Qingwei, Rajmohan, Saravan, Deng, Weiwei, Zhang, Dongmei, Sun, Feng, Zhang, Qi
Query generation is a critical task for web search engines (e.g. Google, Bing) and recommendation systems. Recently, state-of-the-art query generation methods leverage Large Language Models (LLMs) for their strong capabilities in context understandin
Externí odkaz:
http://arxiv.org/abs/2411.00722
Autor:
Yang, Yaming, Muhtar, Dilxat, Shen, Yelong, Zhan, Yuefeng, Liu, Jianfeng, Wang, Yujing, Sun, Hao, Deng, Denvy, Sun, Feng, Zhang, Qi, Chen, Weizhu, Tong, Yunhai
Parameter-efficient fine-tuning (PEFT) has been widely employed for domain adaptation, with LoRA being one of the most prominent methods due to its simplicity and effectiveness. However, in multi-task learning (MTL) scenarios, LoRA tends to obscure t
Externí odkaz:
http://arxiv.org/abs/2410.09437
Autor:
Yan, Hao, Li, Chaozhuo, Yu, Zhigang, Yin, Jun, Liu, Ruochen, Zhang, Peiyan, Han, Weihao, Li, Mingzheng, Zeng, Zhengxin, Sun, Hao, Deng, Weiwei, Sun, Feng, Zhang, Qi, Wang, Senzhang
Multimodal attributed graphs (MAGs) are prevalent in various real-world scenarios and generally contain two kinds of knowledge: (a) Attribute knowledge is mainly supported by the attributes of different modalities contained in nodes (entities) themse
Externí odkaz:
http://arxiv.org/abs/2410.09132
Autor:
Yin, Jun, Zeng, Zhengxin, Li, Mingzheng, Yan, Hao, Li, Chaozhuo, Han, Weihao, Zhang, Jianjin, Liu, Ruochen, Sun, Allen, Deng, Denvy, Sun, Feng, Zhang, Qi, Pan, Shirui, Wang, Senzhang
Owing to the unprecedented capability in semantic understanding and logical reasoning, the pre-trained large language models (LLMs) have shown fantastic potential in developing the next-generation recommender systems (RSs). However, the static index
Externí odkaz:
http://arxiv.org/abs/2409.09253
Neural networks have emerged as a promising paradigm for quantum information processing, yet they confront the challenge of generating training datasets with sufficient size and rich diversity, which is particularly acute when dealing with multiparti
Externí odkaz:
http://arxiv.org/abs/2409.07909
Multipartite entanglement is an essential resource for quantum information tasks, but characterizing entanglement structures in continuous variable systems remains challenging, especially in multimode non-Gaussian scenarios. In this work, we introduc
Externí odkaz:
http://arxiv.org/abs/2408.12554
Autor:
Jiang, Ting, Song, Minghui, Zhang, Zihan, Huang, Haizhen, Deng, Weiwei, Sun, Feng, Zhang, Qi, Wang, Deqing, Zhuang, Fuzhen
Multimodal large language models (MLLMs) have shown promising advancements in general visual and language understanding. However, the representation of multimodal information using MLLMs remains largely unexplored. In this work, we introduce a new fr
Externí odkaz:
http://arxiv.org/abs/2407.12580
We propose a quantum Rabi square model where both the nearest-neighbor and the next-nearest-neighbor photon hopping are allowed among four quantum Rabi systems located at the vertices of a square. By tuning the next-nearest hopping strength, we reali
Externí odkaz:
http://arxiv.org/abs/2407.03612
The exotic phase transitions and multistabilities in atom-cavity coupled systems have attracted tremendous interests recently. In this work, we investigate the effect of photon hopping between two Dicke cavities, which induces rich quantum phases for
Externí odkaz:
http://arxiv.org/abs/2405.19633