Search Results for author: Tian Yu

Found 8 papers, 3 papers with code

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

1 code implementation29 Nov 2024 Tian Yu, Shaolei Zhang, Yang Feng

Iterative retrieval refers to the process in which the model continuously queries the retriever during generation to enhance the relevance of the retrieved knowledge, thereby improving the performance of Retrieval-Augmented Generation (RAG).

Decision Making RAG +1

Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI

no code implementations27 Mar 2024 Tian Yu, Yunhe Li, Michael E. Kim, Chenyu Gao, Qi Yang, Leon Y. Cai, Susane M. Resnick, Lori L. Beason-Held, Daniel C. Moyer, Kurt G. Schilling, Bennett A. Landman

Diffusion MRI (dMRI) streamline tractography, the gold standard for in vivo estimation of brain white matter (WM) pathways, has long been considered indicative of macroscopic relationships with WM microstructure.

Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts

1 code implementation12 Mar 2024 Tian Yu, Shaolei Zhang, Yang Feng

Although Large Language Models (LLMs) have demonstrated impressive text generation capabilities, they are easily misled by untruthful contexts provided by users or knowledge augmentation tools, leading to hallucinations.

Text Generation

TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space

1 code implementation27 Feb 2024 Shaolei Zhang, Tian Yu, Yang Feng

In this paper, we propose TruthX, an inference-time intervention method to activate the truthfulness of LLM by identifying and editing the features within LLM's internal representations that govern the truthfulness.

Contrastive Learning Hallucination +6

ConFL: Constraint-guided Fuzzing for Machine Learning Framework

no code implementations11 Jul 2023 Zhao Liu, Quanchen Zou, Tian Yu, Xuan Wang, Guozhu Meng, Kai Chen, Deyue Zhang

Guided by the constraints, ConFL is able to generate valid inputs that can pass the verification and explore deeper paths of kernel codes.

Decision Making valid

Edge Deep Learning Enabled Freezing of Gait Detection in Parkinson's Patients

no code implementations27 Nov 2022 Ourong Lin, Tian Yu, Yuhan Hou, Yi Zhu, Xilin Liu

In a validation using a public dataset, the prototype developed achieved a FoG detection sensitivity of 88. 8% and an F1 score of 85. 34%, using less than 20 k trainable parameters per sensor node.

Deep Learning

Reinforcement Learning Based User-Guided Motion Planning for Human-Robot Collaboration

no code implementations1 Jul 2022 Tian Yu, Qing Chang

Therefore, it is highly desirable to have a flexible motion planning method, with which robots can adapt to specific task changes in unstructured environments, such as production systems or warehouses, with little or no intervention from non-expert personnel.

Motion Planning reinforcement-learning +1

Wetting equilibrium in a rectangular channel

no code implementations3 Dec 2020 Tian Yu, Qicheng Sun, Chen Zhao, Jiajia Zhou, Masao Doi

When a capillary channel with corners is wetted by a fluid, there are regions where the fluid fills the whole cross-section and regions where only the corners are filled by the fluid.

Soft Condensed Matter

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