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Found 5 papers, 3 papers with code
How Susceptible are Large Language Models to Ideological Manipulation?
Large Language Models (LLMs) possess the potential to exert substantial influence on public perceptions and interactions with information.
Can Language Model Moderators Improve the Health of Online Discourse?
Human moderation of online conversation is essential to maintaining civility and focus in a dialogue, but is challenging to scale and harmful to moderators.
Safer-Instruct: Aligning Language Models with Automated Preference Data
To verify the effectiveness of Safer-Instruct, we apply the pipeline to construct a safety preference dataset as a case study.
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
Annotated data plays a critical role in Natural Language Processing (NLP) in training models and evaluating their performance.
Neural Story Planning
Traditional symbolic planners plan a story from a goal state and guarantee logical causal plot coherence but rely on a library of hand-crafted actions with their preconditions and effects.
