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Found 13 papers, 4 papers with code
基于篇章结构攻击的阅读理解任务探究(Analysis of Reading Comprehension Tasks based on passage structure attacks)
“本文实验发现, 段落顺序会影响人类阅读理解效果;而打乱段落或句子顺序, 对BERT、ALBERT和RoBERTa三种人工神经网络模型的阅读理解答题几乎没有影响。打乱词序后, 人的阅读理解水平低于三个模型, 但人和模型的答题情况高于随机水平, 这说明人比人工神经网络对词序更敏感, 但人与模型可以在单词乱序的情况下答题。综上, 人与人工神经网络在正常阅读的情况下回答阅读理解问题的正确率相当, 但两者对篇章结构及语序的依赖程度不同。”
Probing the Creativity of Large Language Models: Can models produce divergent semantic association?
Large language models possess remarkable capacity for processing language, but it remains unclear whether these models can further generate creative content.
Holistic Dynamic Frequency Transformer for Image Fusion and Exposure Correction
The correction of exposure-related issues is a pivotal component in enhancing the quality of images, offering substantial implications for various computer vision tasks.
CTP:A Causal Interpretable Model for Non-Communicable Disease Progression Prediction
The CTP model combines trajectory prediction and causal discovery to enable accurate prediction of disease progression trajectories and uncover causal relationships between features.
Replicating Complex Dialogue Policy of Humans via Offline Imitation Learning with Supervised Regularization
Policy learning (PL) is a module of a task-oriented dialogue system that trains an agent to make actions in each dialogue turn.
Complex Mapping between Neural Response Frequency and Linguistic Units in Natural Speech
When listening to connected speech, human brain can extract multiple levels of linguistic units, such as syllables, words, and sentences.
Language Cognition and Language Computation -- Human and Machine Language Understanding
Language understanding is a key scientific issue in the fields of cognitive and computer science.
Interpretation and Analysis of the Steady-State Neural Response to Complex Sequential Structures: a Methodological Note
Frequency tagging is a powerful approach to investigate the neural processing of sensory features, and is recently adapted to study the neural correlates of superordinate structures, i. e., chunks, in complex sequences such as speech and music.
The Neural Correlates of Linguistic Structure Building: Comments on Kazanina & Tavano (2022)
A recent perspective paper by Kazanina & Tavano (referred to as the KT perspective in the following) argues how neural oscillations cannot provide a potential neural correlate for syntactic structure building.
On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools
The MSP is a slot-specific memory that records all mentioned slot values that may be inherited, and our model updates slot values according to the MSP and the dialogue context.
Human Attention during Goal-directed Reading Comprehension Relies on Task Optimization
Furthermore, when readers scan a passage without a question in mind, their reading time is predicted by DNNs optimized for a word prediction task.
PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales
Each passage was read by at least 26 human readers, who labeled their rationales to answer the question.
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
We apply the method to the RACE dataset, for which the answer to each MRC question is selected from 4 options.
