Tag: adversarial machine learning
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Strategy-Aware Optimization Modeling with LLMs
Discover how the SAGE framework boosts optimization modeling using strategy-aware reasoning in large language models for better efficiency and accuracy.
Boost AI Safety with Targeted Error Correction Methods
Enhance AI model safety by reducing high-risk errors using a dual-classifier GBDT pipeline for precise, low-latency error correction.
How Graphs Enhance Large Language Models’ Accuracy
Discover how integrating graph structures improves large language models by reducing errors and boosting reasoning and data understanding.
FitText: Advanced AI Tool Retrieval for Dynamic Agents
Discover FitText, an AI framework enhancing dynamic tool retrieval and selection via memetic retrieval, boosting agent performance across vast API ecosyste...
Controllable Process Data Synthesis for Reward Models
Discover a novel framework for controllable, verifiable process data synthesis enhancing process reward models with improved error control and reasoning.