Greedy Optimization with LLM Agents Boosts Accuracy
Discover how greedy hill climbing with LLM agents outperforms traditional optimization in tasks like cancer classification and hyperparameter tuning.
Bayesian Networks vs Probabilistic Structural Causal Models
Explore how Bayesian networks relate to probabilistic structural causal models using linear algebra and programming for improved causal inference.
Heterogeneous Debate Engine for Ethical LLM Tutoring
Discover the Heterogeneous Debate Engine combining ID-RAG and Theory of Mind for resilient, high-fidelity ethical tutoring with LLMs.
DEFEND: AI-Powered Automated Peer Review Rebuttals
DEFEND improves peer review rebuttals with AI, enabling minimal author input while ensuring factual accuracy and strong refutations.
LLM Readiness Harness: Evaluation & CI Gates for AI Apps
Discover the LLM Readiness Harness for evaluating, monitoring, and deploying LLM/RAG models with automated benchmarks and CI quality gates.