Language Generation
Language generation research focuses on creating systems that produce human-quality text, addressing challenges like factual accuracy, style control, and bias mitigation. Current efforts concentrate on improving large language models (LLMs) through techniques such as fine-tuning with various loss functions, efficient parameter-efficient fine-tuning methods, and integrating external knowledge sources. This field is crucial for advancing natural language processing and has significant implications for applications ranging from automated report generation to improved human-computer interaction.
402papers
Papers - Page 7
May 29, 2024
WRDScore: New Metric for Evaluation of Natural Language Generation Models
Ravil MussabayevLanguage Generation with Strictly Proper Scoring Rules
Chenze Shao, Fandong Meng, Yijin Liu, Jie ZhouCan GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension
Shubham Vatsal, Ayush Singh
May 27, 2024
A Library for Automatic Natural Language Generation of Spanish Texts
Silvia García-Méndez, Milagros Fernández-Gavilanes, Enrique Costa-Montenegro, Jonathan Juncal-Martínez, F. Javier González-CastañoBWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation
Chengxing Jia, Pengyuan Wang, Ziniu Li, Yi-Chen Li, Zhilong Zhang, Nan Tang, Yang YuGlauber Generative Model: Discrete Diffusion Models via Binary Classification
Harshit Varma, Dheeraj Nagaraj, Karthikeyan Shanmugam
May 26, 2024
Automatic Jailbreaking of the Text-to-Image Generative AI Systems
Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju HwangM-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
Zheng Wang, Shu Xian Teo, Jieer Ouyang, Yongjun Xu, Wei Shi
May 24, 2024
Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing
Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth GargLinearly Controlled Language Generation with Performative Guarantees
Emily Cheng, Marco Baroni, Carmen Amo Alonso
May 17, 2024
Generative Artificial Intelligence: A Systematic Review and Applications
Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar, Fiona CarrollAssessing Political Bias in Large Language Models
Luca Rettenberger, Markus Reischl, Mark SchuteraLanguage Models can Evaluate Themselves via Probability Discrepancy
Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou
May 16, 2024