Tag: zero-shot learning
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Zero-Shot Confidence Estimation for Small LLMs Explained
Discover how zero-shot confidence estimation outperforms supervised baselines in small LLMs, boosting accuracy and reducing latency without extra training.
CP-SynC: Multi-Agent Zero-Shot Constraint Modeling in MiniZinc
Discover CP-SynC, a multi-agent system enhancing zero-shot constraint modeling in MiniZinc for accurate, automated combinatorial problem-solving.
Zero-Shot STL Planning with Dynamic Semantic Maps
Discover zero-shot STL planning using map-conditioned transformers and heuristic methods for robust, real-time control in dynamic semantic maps.
Zero-Shot Geospatial Reasoning Using Indirect Rewards
Discover how indirect rewards enable zero-shot geospatial reasoning, boosting AI performance in rare domains without extensive labeled data.
Auto-Relational Reasoning: Boosting AI Problem Solving
Discover how Auto-Relational Reasoning enhances machine learning with superior reasoning and problem-solving capabilities in AI models.