Anthropogenic Regional Adaptation in Vision-Language Models
Discover how Anthropogenic Regional Adaptation and GG-EZ enhance vision-language models for regional relevance without losing global accuracy.
Polynomial-Time Complexity in Discussion-Based Argumentation
Explore the polynomial-time decidability of argument strength in discussion-based semantics using graph and automata theory approaches.
OOM-RL: Market-Driven Reinforcement Learning for Multi-Agent LLMs
Discover OOM-RL, a market-driven reinforcement learning method aligning LLM-based multi-agent systems with real-world financial penalties for robust AI.
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.
Boost Small AI Agents Performance with Role Orchestration
Discover how role orchestration at inference time doubles small AI agents' task success, closing the gap with larger models on modest hardware.