Tag: frontier large language models
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Consistency-Guided Decoding for Logical QA Accuracy
Improve three-way logical question answering with CGD-PD, boosting accuracy by 16% and reducing Unknown predictions in LLMs.
Stepwise Informativeness Assumption in LLMs: Entropy & Reasoning
Explore how the Stepwise Informativeness Assumption links entropy dynamics to reasoning accuracy in large language models (LLMs) across key benchmarks.
AI-Sinkhole: AI-Driven DNS Blocking of LLMs in Exams
Discover AI-Sinkhole, an AI-powered DNS blocking system that prevents LLM use during student exams, ensuring academic integrity and fairness.
Generating Knowledge Graphs from Cultural Heritage Texts
Discover ATR4CH, a method using LLMs and ontologies to convert cultural heritage texts into structured knowledge graphs for scholarly debates.
How Much LLM Power Does a Self-Revising Agent Need?
Explore how much large language model (LLM) capacity self-revising agents require for optimal planning, reflection, and decision-making in AI systems.