WhaVax is a new expert-annotated dataset of WhatsApp vaccine messages with benchmarks showing competitive performance from embeddings and LLMs for misinformation detection under data scarcity.
and Ugarte, Arjuna and Matsubara, Yoshitomo and Young, Sean and Singh, Sameer
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
CRAFT is a Pareto-front prompt optimizer that allocates scarce LLM validation calls to candidates near the current front using accuracy- and cost-oriented generators plus NSGA-II retention.
Fairness mitigation in personalized text generation is objective-dependent with methods occupying different regions of the fairness-personalization Pareto frontier rather than any single strategy dominating all objectives.
citing papers explorer
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WhatsApp Vaccine Discourse (WhaVax): An Expert-Annotated Dataset and Benchmark for Health Misinformation Detection
WhaVax is a new expert-annotated dataset of WhatsApp vaccine messages with benchmarks showing competitive performance from embeddings and LLMs for misinformation detection under data scarcity.
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CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts
CRAFT is a Pareto-front prompt optimizer that allocates scarce LLM validation calls to candidates near the current front using accuracy- and cost-oriented generators plus NSGA-II retention.
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Pareto-Guided Teacher Alignment for Fair Personalized Text Generation
Fairness mitigation in personalized text generation is objective-dependent with methods occupying different regions of the fairness-personalization Pareto frontier rather than any single strategy dominating all objectives.