User Simulation
16 papers with code • 0 benchmarks • 0 datasets
Simulation of user interacting with a dialog system
Benchmarks
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Most implemented papers
Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems
User simulation has been a cost-effective technique for evaluating conversational recommender systems.
BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems
BotSIM adopts a layered design comprising the infrastructure layer, the adaptor layer and the application layer.
UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems
We present an extensible user simulation toolkit to facilitate automatic evaluation of conversational recommender systems.
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
verena-hallitschke/pet-ct-annotate
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Recently, deep learning enabled the accurate segmentation of various diseases in medical imaging.
User Behavior Simulation with Large Language Model based Agents
Simulating high quality user behavior data has always been a fundamental problem in human-centered applications, where the major difficulty originates from the intricate mechanism of human decision process.
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study
diligentspring/investigating-the-robustness-of-counterfactual-learning-to-rank-models
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Counterfactual learning to rank (CLTR) has attracted extensive attention in the IR community for its ability to leverage massive logged user interaction data to train ranking models.
Identifying Breakdowns in Conversational Recommender Systems using User Simulation
We present a methodology to systematically test conversational recommender systems with regards to conversational breakdowns.
