RISC reformulates self-consistency answer selection as a ranking task solved by a lightweight LambdaRank model with five hand-designed features, yielding better accuracy-efficiency trade-offs than majority voting on QA benchmarks.
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A resource-aware pipeline generates BPMN collaboration diagrams with pools and lanes from natural language descriptions using LLMs and a compact intermediate language.
The paper surveys hallucination in LLMs with an innovative taxonomy, factors, detection methods, benchmarks, mitigation strategies, and open research directions.
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Boosting Self-Consistency with Ranking
RISC reformulates self-consistency answer selection as a ranking task solved by a lightweight LambdaRank model with five hand-designed features, yielding better accuracy-efficiency trade-offs than majority voting on QA benchmarks.
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Beyond Control-Flow: Integrating the Resource Perspective into Multi-Collaborative Process Modeling from Text
A resource-aware pipeline generates BPMN collaboration diagrams with pools and lanes from natural language descriptions using LLMs and a compact intermediate language.
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A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
The paper surveys hallucination in LLMs with an innovative taxonomy, factors, detection methods, benchmarks, mitigation strategies, and open research directions.