Tag: causal machine learning
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Regime-Sensitive Warm Starts for Dense LM Width Growth
Explore regime-sensitive warm start strategies to optimize dense language model width growth beyond simple preservation techniques.
InferenceEvolve: Automated AI for Causal Effect Estimation
Discover InferenceEvolve, a self-evolving AI framework that automates and outperforms traditional causal effect estimators using large language models.
Combee: Scalable Prompt Learning for AI Language Agents
Discover Combee, a framework that scales parallel prompt learning for self-improving language model agents with up to 17x speedup and high accuracy.
LLM Adaptation Challenges in Non-Stationary Reversal Learning
Study reveals large language models struggle with flexible adaptation in changing environments using comparative reversal learning tasks.
CoALFake: Advanced Cross-Domain Fake News Detection
Discover CoALFake, a novel human-LLM co-annotation method boosting cross-domain fake news detection with active learning and domain-aware sampling.