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Found 15 papers, 4 papers with code
GCPG: A General Framework for Controllable Paraphrase Generation
Under GCPG, we reconstruct commonly adopted lexical condition (i. e., Keywords) and syntactical conditions (i. e., Part-Of-Speech sequence, Constituent Tree, Masked Template and Sentential Exemplar) and study the combination of the two types.
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting
A channel identifier, a global mixing module and a self-contextual attention module are devised in InjectTST.
OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models
Furthermore, we assemble three test sets for comprehensive evaluation, an occu-test set covering 25 occupational categories, an estate set focusing on real estate, and an occu-quora set containing real-world questions from Quora.
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting
To capture the intrinsic patterns of time series, we propose a novel deep learning network architecture, named Multi-resolution Periodic Pattern Network (MPPN), for long-term series forecasting.
Interactive Natural Language Processing
Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence.
Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction
First, we apply adaptive hybrid graph learning to learn the compound spatial correlations among cell towers.
Joint Beamforming Coordination and User Selection for CoMP Enabled NR-U Networks
In this work, we introduce a CoMP based NR-U network, particularly for 6G enabled massive IoT scenarios.
Draft, Command, and Edit: Controllable Text Editing in E-Commerce
To address this challenge, we explore a new draft-command-edit manner in description generation, leading to the proposed new task-controllable text editing in E-commerce.
Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation
We experimentally find that these prompts can be simply concatenated as a whole to multi-attribute CTG without any re-training, yet raises problems of fluency decrease and position sensitivity.
Emergence of Theory of Mind Collaboration in Multiagent Systems
Currently, in the study of multiagent systems, the intentions of agents are usually ignored.
POS-Constrained Parallel Decoding for Non-autoregressive Generation
However, in this work, we experimentally reveal that this assumption does not always hold for the text generation tasks like text summarization and story ending generation.
Polar magneto-optical Kerr effect in antiferromagnetic M$_2$As (M=Cr, Mn, Fe) under an external magnetic field
Hence, in this work we combine first-principles simulations with measurements of the polar magneto-optical Kerr effect under external magnetic fields, to study magneto-optical response of antiferromagnetic M$_2$As (M=Cr, Mn, and Fe).
Materials Science
AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation
Previous studies usually use the supervised models which deeply rely on parallel data.
Cultural Vocal Bursts Intensity Prediction
Language Modelling
+1
Applying Rhetorical Structure Theory to Student Essays for Providing Automated Writing Feedback
We present a package of annotation resources, including annotation guideline, flowchart, and an Intelligent Tutoring System for training human annotators.
Ancient-Modern Chinese Translation with a Large Training Dataset
Ancient Chinese brings the wisdom and spirit culture of the Chinese nation.
Cultural Vocal Bursts Intensity Prediction
Machine Translation
+2
