Tag: causal machine learning
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COvolve: LLM-Driven Adversarial Co-Evolution Framework
Discover COvolve, a framework using LLMs for adversarial co-evolution of policies and environments via zero-sum games to boost AI learning and adaptability...
Collaborative Entropy for Uncertainty in Multi-LLM Systems
Discover Collaborative Entropy (CoE), a novel metric improving uncertainty quantification in multi-LLM systems for enhanced AI collaboration and confidence...
CoT2-Meta: Efficient Metacognitive Control for Test-Time Reasoning
Discover CoT2-Meta, a novel metacognitive framework enhancing test-time reasoning with budgeted control for improved accuracy and efficiency.
Understanding Reward Hacking in AI under Finite Evaluation
Explore how reward hacking forms a structural equilibrium in AI systems under finite evaluation, impacting alignment and optimization strategies.
SCICON: Contrastive Decoding for Scientific Figure QA
Discover SCICON, a novel contrastive decoding method that reduces bias in scientific figure multiple-choice QA by prioritizing visual evidence over text.