Computer Science
Large Language Model
100%
Language Modeling
66%
Experimental Result
63%
Scientific Paper
57%
Data Augmentation
38%
Attention (Machine Learning)
38%
Contrastive Learning
32%
Extractive Summarization
28%
Abstractive Summarization
28%
Word Embedding
28%
Case Study
28%
Summarization System
28%
Side Information
28%
Granularity
28%
Decoding Process
28%
Optimisation Objective
28%
Mutual Information
28%
Chronological Order
28%
ChatGPT
28%
Document Representation
28%
Artificial Intelligence
28%
Diffusion Model
28%
Image Captioning
28%
Research Question
28%
Convolutional Neural Network
23%
Desired Property
19%
Generative Pre-Trained Transformer 4
17%
Graph Information
14%
Link Prediction
14%
Multiple Domain
14%
Collected Data
14%
Substantial Amount
14%
Imbalanced Data
14%
Unlabeled Data
14%
Data Distribution
14%
Response Generation
11%
Keyphrases
Character Component
28%
Summarization Tool
28%
Chinese Word Embedding
28%
Extractive Summarization
28%
Timeline Summarization
28%
Target-aware
28%
Related Work Generation
28%
Margin Loss
28%
Parameter Efficiency
28%
Social Text
28%
Summarization Tool
28%
Out-of-domain
28%
Update Summarization
28%
Document Representation
28%
Neural Text Generation
28%
Story Generation
28%
Large Language Models
28%
Language Model Evaluation
28%
Dermatological Disease Diagnosis
28%
Chat Generative Pre-trained Transformer (ChatGPT)
28%
Bias in AI
28%
Power of Language
28%
Mitigating Bias
28%
Event-level
19%
Summarizer
19%
Local Attention
19%
Unsupervised Summarization
17%
Multi-granularity
17%
Neutral Term
14%
Neural Abstractive Summarization
14%
Unfaithfulness
14%
Max-margin
14%
Few-shot
14%
Mixture-of-experts
14%
In-domain
14%
Parameter Scaling
14%
Zero-shot
14%
Visual Evidence
14%
Single Model
14%
Task Requirements
14%
Multiple Domains
14%
Unseen
14%
Motivation
14%
QA Tool
14%
Paper Titles
14%
QA Dataset
14%
