Blockchain-based Federated Recommendation with Incentive Mechanism

no code implementations • 3 Sep 2024 • Jianhai Chen, Yanlin Wu, Dazhong Rong, Guoyao Yu, Lingqi Jiang, Zhenguang Liu, Peng Zhou, Rui Shen

The experimental results show that our proposed incentive mechanism can attract clients with superior training data to engage in the federal recommendation at a lower cost, which can increase the economic benefit of federal recommendation by 54. 9\% while improve the recommendation performance.

Data Poisoning Recommendation Systems

Solving Robotics Problems in Zero-Shot with Vision-Language Models

no code implementations • 26 Jul 2024 • Zidan Wang, Rui Shen, Bradly Stadie

We introduce Wonderful Team, a multi-agent visual LLM (VLLM) framework for solving robotics problems in the zero-shot regime.

Action Generation Visual Reasoning

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models

no code implementations • 29 Sep 2023 • Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan

Recently, large language models (LLMs), especially those that are pretrained on code, have demonstrated strong capabilities in generating programs from natural language inputs in a few-shot or even zero-shot manner.

Code Generation Math +1