activity
20192026
most citedSolving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

17 citations · 55 across the 28 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.SE2023★ 3 cited

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Yuxuan Jiang, Chaoyun Zhang, Shilin He +8

Large-scale cloud systems play a pivotal role in modern IT infrastructure. However, incidents occurring within these systems can lead to service disruptions and adversely affect us…

cs.LG2023★ 2 cited

Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System

Xiangguo Sun, Hong Cheng, Hang Dong +3

Scoring systems are commonly seen for platforms in the era of big data. From credit scoring systems in financial services to membership scores in E-commerce shopping platforms, pla…

cs.AI2023★ 6 cited

TaskWeaver: A Code-First Agent Framework

Bo Qiao, Liqun Li, Xu Zhang +16

Large Language Models (LLMs) have shown impressive abilities in natural language understanding and generation, leading to their widespread use in applications such as chatbots and…

cs.AI2023★ 1 cited

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

Ruomeng Ding, Chaoyun Zhang, Lu Wang +7

Recent advancements in Large Language Models (LLMs) have revolutionized decision-making by breaking down complex problems into more manageable language sequences referred to as "th…

cs.AI2023★ 6 cited

Introspective Tips: Large Language Model for In-Context Decision Making

Liting Chen, Lu Wang, Hang Dong +9

The emergence of large language models (LLMs) has substantially influenced natural language processing, demonstrating exceptional results across various tasks. In this study, we em…