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Found 8 papers, 0 papers with code
Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement
Few-shot prompting elicits the remarkable abilities of large language models by equipping them with a few demonstration examples in the input.
Is ChatGPT a Good Personality Recognizer? A Preliminary Study
Concretely, we employ a variety of prompting strategies to explore ChatGPT's ability in recognizing personality from given text, especially the level-oriented prompting strategy we designed for guiding ChatGPT in analyzing given text at a specified level.
DMF-Net: Dual-Branch Multi-Scale Feature Fusion Network for copy forgery identification of anti-counterfeiting QR code
We first analyze the production principle of anti-counterfeiting QR code, and convert the identification of copy forgery to device category forensics, and then a Dual-Branch Multi-Scale Feature Fusion network is proposed.
GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series
The main novelty of the model is the integration of time series of four different time granularities: the original time series, together with hourly, daily, and weekly time series.
Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition
In this paper, we propose a Cost-Quality Adaptive Active Learning (CQAAL) approach for CNER in Chinese EHRs, which maintains a balance between the annotation quality, labeling costs, and the informativeness of selected instances.
NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs
Meanwhile, to minimize the computational cost of learning, we propose a joint model including a word segmenter and a loss prediction model.
From the Periphery to the Center: Information Brokerage in an Evolving Network
We model integration as the interplay between the newcomer and the dynamics network and capture information brokerage using a process of relationship building.
A Comparative Study of Object Trackers for Infrared Flying Bird Tracking
Bird strikes present a huge risk for aircraft, especially since traditional airport bird surveillance is mainly dependent on inefficient human observation.
