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Found 17 papers, 10 papers with code
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models
PEMA integrates with context representations from test data during inference to perform downstream tasks.
From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models
Being able to predict people's opinions on issues and behaviors in realistic scenarios can be helpful in various domains, such as politics and marketing.
Diversity Enhanced Narrative Question Generation for Storybooks
To validate the answerability of the generated questions, we employ a SQuAD2. 0 fine-tuned question answering model, classifying the questions as answerable or not.
Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
Transformer-based models still face the structural limitation of fixed context length in processing long sequence input despite their effectiveness in various fields.
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea
Historical records in Korea before the 20th century were primarily written in Hanja, an extinct language based on Chinese characters and not understood by modern Korean or Chinese speakers.
Translating Hanja Historical Documents to Contemporary Korean and English
Built on top of multilingual neural machine translation, H2KE learns to translate a historical document written in Hanja, from both a full dataset of outdated Korean translation and a small dataset of more recently translated contemporary Korean and English.
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation
Finding counterevidence to statements is key to many tasks, including counterargument generation.
Controlled Molecule Generator for Optimizing Multiple Chemical Properties
Generating a novel and optimized molecule with desired chemical properties is an essential part of the drug discovery process.
Speaker Sensitive Response Evaluation Model
We provide our code and the learned parameters so that they can be used for automatic evaluation of dialogue response generation models.
Variational Hierarchical User-based Conversation Model
To overcome this limitation, we propose a new model with a stochastic variable designed to capture the speaker information and deliver it to the conversational context.
Conversational Decision-Making Model for Predicting the King's Decision in the Annals of the Joseon Dynasty
Styles of leaders when they make decisions in groups vary, and the different styles affect the performance of the group.
Rotated Word Vector Representations and their Interpretability
We apply several rotation algorithms to the vector representation of words to improve the interpretability.
