Tag: auditory large language models
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Optimizing LLM Tool Calls: A Decision Framework
Discover a framework to assess and optimize large language model tool calls, improving AI decision-making and task performance effectively.
AEM: Boost Multi-Turn RL Agents with Adaptive Entropy
Discover AEM, a supervision-free method enhancing multi-turn RL agents by optimizing exploration-exploitation and improving training efficiency.
ARMOR 2025: Benchmarking Military Safety for Large Language Models
Discover ARMOR 2025, a benchmark designed to evaluate large language models' safety and compliance with military legal and ethical standards.
TUR-DPO: Enhanced Preference Optimization for AI Models
Discover TUR-DPO, a topology- and uncertainty-aware method that improves AI preference optimization with better reasoning and calibration.
Understanding the Tool-Use Tax in LLM Agents
Explore the tool-use tax in LLM agents and how G-STEP improves tool-augmented reasoning by reducing performance losses in AI models.