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Found 19 papers, 5 papers with code
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant
Large language models (LLMs) have demonstrated impressive generalization capabilities on specific tasks with human-written instruction data.
Quantized Embedding Vectors for Controllable Diffusion Language Models
To further enhance their portability of independent deployment as well as improve their stability evaluated by language perplexity, we propose a novel approach called the Quantized Embedding Controllable Diffusion Language Model (QE-CDLM).
Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction
However, in the Chinese Spelling Correction (CSC) task, we observe a discrepancy: while ChatGPT performs well under human evaluation, it scores poorly according to traditional metrics.
CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME
In fact, most of Chinese input is based on pinyin input method, so the study of spelling errors in this process is more practical and valuable.
giMLPs: Gate with Inhibition Mechanism in MLPs
As for the gate with inhibition MLPs on DeBERTa (giDeBERTa) fine-tuning, we find it can achieve appealing results on most parts of NLU tasks without any extra pretraining again.
Dynamic optical contrast imaging for real-time delineation of tumor resection margins using head and neck cancer as a model
Complete surgical resection of the tumor for Head and neck squamous cell carcinoma (HNSCC) remains challenging, given the devastating side effects of aggressive surgery and the anatomic proximity to vital structures.
Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN
In this work, a novel Multidirectional Perception Generative Adversarial Network (MP-GAN) is proposed to visualize the morphological features indicating the severity of AD for patients of different stages.
Topological photonics on superconducting quantum circuits with parametric couplings
Topological phases of matter is an exotic phenomena in modern condense matter physics, which has attracted much attention due to the unique boundary states and transport properties.
Quantum Physics Strongly Correlated Electrons
Origin of the Electronic Structure in Single-Layer FeSe/SrTiO3 Films
These observations not only show the first direct evidence that the electronic structure of single-layer FeSe/SrTiO3 films originates from bulk FeSe through a combined effect of an electronic phase transition and an interfacial charge transfer, but also provide a quantitative basis for theoretical models in describing the electronic structure and understanding the superconducting mechanism in single-layer FeSe/SrTiO3 films.
Band Gap
Superconductivity
Strongly Correlated Electrons
Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo
Therefore, in this paper, we release Weibo-COV, a first large-scale COVID-19 social media dataset from Weibo, covering more than 30 million tweets from 1 November 2019 to 30 April 2020.
Social and Information Networks
Multi-task Learning for Low-resource Second Language Acquisition Modeling
Second language acquisition (SLA) modeling is to predict whether second language learners could correctly answer the questions according to what they have learned.
Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning
Specifically, by an iterative optimization algorithm, DCHUC jointly learns unified hash codes for image-text pairs in a database and a pair of hash functions for unseen query image-text pairs.
Principal Model Analysis Based on Partial Least Squares
Motivated by the Bagging Partial Least Squares (PLS) and Principal Component Analysis (PCA) algorithms, we propose a Principal Model Analysis (PMA) method in this paper.
A DEMATEL-Based Completion Method for Incomplete Pairwise Comparison Matrix in AHP
However, in many cases, the pairwise comparison matrix is difficult to complete, which obstructs the subsequent operations of the clas- sical AHP.
Parameter estimation based on interval-valued belief structures
Parameter estimation based on uncertain data represented as belief structures is one of the latest problems in the Dempster-Shafer theory.
A Visibility Graph Averaging Aggregation Operator
The problem of aggregation is considerable importance in many disciplines.
An Adaptive Amoeba Algorithm for Shortest Path Tree Computation in Dynamic Graphs
When the edge weight changes, the proposed algorithm can recognize the affected vertices and reconstruct them spontaneously.
Ranking basic belief assignments in decision making under uncertain environment
Dempster-Shafer theory (D-S theory) is widely used in decision making under the uncertain environment.
