Tag: causal machine learning
Browse our exclusive articles!
Auto-FP: Automated Feature Preprocessing for Tabular Data
Explore Auto-FP, an automated feature preprocessing method for tabular data that enhances machine learning model performance via HPO and NAS techniques.
TRIM: Efficient Hybrid Inference for Multi-Step Reasoning
Discover TRIM, a hybrid inference method that boosts efficiency by targeting critical steps in multi-step reasoning tasks with advanced model routing.
RL-PLUS: Enhancing LLMs in Reinforcement Learning
Discover RL-PLUS, a hybrid-policy optimization method that overcomes capability boundary collapse in LLMs, boosting reasoning and problem-solving skills.
Enhancing LLM Reasoning with Reinforcement Learning in Pre-train Space
Discover how PreRL and Dual Space RL improve large language model reasoning by optimizing marginal distributions and pruning errors effectively.
Detecting Rhetorical Questions in LLMs: A Linear Probing Study
Explore how large language models represent rhetorical questions using linear probing across social media datasets, revealing distinct linguistic cues.