Tag: causal machine learning
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Mamba-Based Network for Rapid Blast Damage Assessment
Discover a Mamba-based multimodal network for fast, accurate structural damage assessment after blasts, improving disaster response and recovery.
UniToolCall: Standardizing Tool-Use for LLM Agents
UniToolCall unifies tool-use representation, data, and evaluation to boost LLM agents' performance with over 22K tools and diverse interaction patterns.
Activation Steering in AI: From Attribution to Action
Explore how activation steering transforms AI explainability from insight to actionable intervention for better model interpretability and debugging.
Contrastive Reasoning Path Synthesis for Efficient MCTS
Discover how Contrastive Reasoning Path Synthesis (CRPS) improves MCTS by synthesizing insights from diverse search paths, boosting reasoning model efficie...
Efficient Prompt Evaluation Scheduling with Submodular Guarantees
Discover POES: a prompt-aware evaluation scheduling method that boosts accuracy and reduces token use with submodular optimization techniques.