activity
20232026
most citedIntelligent Virtual Assistants with LLM-based Process Automation

2 citations · 6 across the 31 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CL2024

CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation

Hongxuan Zhang, Yao Zhao, Jiaqi Zheng +3

The emergence of long-context text applications utilizing large language models (LLMs) has presented significant scalability challenges, particularly in memory footprint. The linea…

cs.CL2024

Explainable Behavior Cloning: Teaching Large Language Model Agents through Learning by Demonstration

Yanchu Guan, Dong Wang, Yan Wang +5

Autonomous mobile app interaction has become increasingly important with growing complexity of mobile applications. Developing intelligent agents that can effectively navigate and…

cs.CV2024

CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution

Qingguo Liu, Chenyi Zhuang, Pan Gao +1

Existing Blind image Super-Resolution (BSR) methods focus on estimating either kernel or degradation information, but have long overlooked the essential content details. In this pa…

cs.IR2024

Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction

Yao Zhao, Zhining Liu, Tianchi Cai +3

Position bias, i.e., users' preference of an item is affected by its placing position, is well studied in the recommender system literature. However, most existing methods ignore t…

cs.CY2024★ 1 cited

Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education

Pengyang Shao, Yonghui Yang, Chen Gao +6

Graph-based Cognitive Diagnosis (CD) has attracted much research interest due to its strong ability on inferring students' proficiency levels on knowledge concepts. While graph-bas…

cs.IR2024

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems

Sheng Zhang, Maolin Wang, Yao Zhao +6

In the era of data proliferation, efficiently sifting through vast information to extract meaningful insights has become increasingly crucial. This paper addresses the computationa…

cs.LG2024

MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts

Zhitian Xie, Yinger Zhang, Chenyi Zhuang +4

The application of mixture-of-experts (MoE) is gaining popularity due to its ability to improve model's performance. In an MoE structure, the gate layer plays a significant role in…

cs.CL2024★ 1 cited

CharPoet: A Chinese Classical Poetry Generation System Based on Token-free LLM

Chengyue Yu, Lei Zang, Jiaotuan Wang +2

Automatic Chinese classical poetry generation has attracted much research interest, but achieving effective control over format and content simultaneously remains challenging. Trad…