Search Results for author:
Found 14 papers, 2 papers with code
ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary
In this work, we firstly focus on the independent literature summarization step and introduce ChatCite, an LLM agent with human workflow guidance for comparative literature summary.
System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models
The Neural Network (NN), as a black-box function approximator, has been considered in many control and robotics applications.
UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding
Training data is collected via a human-centric process with offline and online stages.
Scheduling Dosage of Proton Pump Inhibitors Using Constrained Optimization With Gastric Acid Secretion Model
Dosage schedule of the Proton Pump Inhibitors (PPIs) is critical for gastric acid disorder treatment.
GarmentTracking: Category-Level Garment Pose Tracking
In this work, we present a complete package to address the category-level garment pose tracking task: (1) A recording system VR-Garment, with which users can manipulate virtual garment models in simulation through a VR interface.
ClothPose: A Real-world Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution
In this work, we propose a recording system, GarmentTwin, which can track garment poses in dynamic settings such as manipulation.
Evaluating Psychological Safety of Large Language Models
Despite being instruction fine-tuned with safety metrics to reduce toxicity, InstructGPT, GPT-3. 5, and GPT-4 still showed dark personality patterns; these models scored higher than self-supervised GPT-3 on the Machiavellianism and narcissism traits on SD-3.
Safe Control and Learning Using Generalized Action Governor
This paper introduces the Generalized Action Governor, which is a supervisory scheme for augmenting a nominal closed-loop system with the capability of strictly handling constraints.
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature Denoiser
Due to the development of deep learning-based denoisers, the plug-and-play strategy has achieved great success in image restoration problems.
Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning
The action governor is an add-on scheme to a nominal control loop that monitors and adjusts the control actions to enforce safety specifications expressed as pointwise-in-time state and control constraints.
Maps Search Misspelling Detection Leveraging Domain-Augmented Contextual Representations
Building an independent misspelling detector and serve it before correction can bring multiple benefits to speller and other search components, which is particularly true for the most commonly deployed noisy-channel based speller systems.
Dermoscopic Image Classification with Neural Style Transfer
We represent each dermoscopic image as the style image and transfer the style of the lesion onto a homogeneous content image.
Safe Reinforcement Learning Using Robust Action Governor
Reinforcement Learning (RL) is essentially a trial-and-error learning procedure which may cause unsafe behavior during the exploration-and-exploitation process.
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions
The growing number of biomedical publications is a challenge for human researchers, who invest considerable effort to search for relevant documents and pinpointed answers.
