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Found 7 papers, 2 papers with code
Large Language Models Meet User Interfaces: The Case of Provisioning Feedback
Incorporating Generative AI (GenAI) and Large Language Models (LLMs) in education can enhance teaching efficiency and enrich student learning.
Poisoning Attacks against Recommender Systems: A Survey
This survey paper provides a systematic and up-to-date review of the research landscape on Poisoning Attacks against Recommendation (PAR).
Identification of Regulatory Requirements Relevant to Business Processes: A Comparative Study on Generative AI, Embedding-based Ranking, Crowd and Expert-driven Methods
Organizations face the challenge of ensuring compliance with an increasing amount of requirements from various regulatory documents.
Poisoning Attacks Against Contrastive Recommender Systems
Contrastive learning (CL) has recently gained significant popularity in the field of recommendation.
Leveraging Artificial Intelligence Technology for Mapping Research to Sustainable Development Goals: A Case Study
We utilized a similarity measure to map these publications onto Sustainable Development Goals (SDGs).
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data
Due to the imbalanced nature of networked observational data, the causal effect predictions for some individuals can severely violate the positivity/overlap assumption, rendering unreliable estimations.
Variational Counterfactual Prediction under Runtime Domain Corruption
We term the co-occurrence of domain shift and inaccessible variables runtime domain corruption, which seriously impairs the generalizability of a trained counterfactual predictor.
