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Found 6 papers, 4 papers with code
Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation
Recent advances in Large Language Models (LLMs) have spurred interest in designing LLM-based agents for tasks that involve interaction with human and artificial agents.
MeeQA: Natural Questions in Meeting Transcripts
We present MeeQA, a dataset for natural-language question answering over meeting transcripts.
Designing an Automatic Agent for Repeated Language based Persuasion Games
Persuasion games are fundamental in economics and AI research and serve as the basis for important applications.
Predicting Decisions in Language Based Persuasion Games
Our results demonstrate that given a prefix of the interaction sequence, our models can predict the future decisions of the decision-maker, particularly when a sequential modeling approach and hand-crafted textual features are applied.
Predicting human decisions with behavioral theories and machine learning
Behavioral decision theories aim to explain human behavior.
Characterizing Efficient Referrals in Social Networks
Users of social networks often focus on specific areas of that network, leading to the well-known "filter bubble" effect.
Social and Information Networks
