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Evaluation Agent slashes evaluation time to 10% of traditional methods while providing detailed, user-tailored analyses of visual generative models.
TDHD boosts surgical manipulation success rates by up to 25% by intelligently adapting action execution based on real-time reliability assessments.
Rule-Aware FinBERT boosts financial sentiment classification accuracy by over 6% while adding only 1,024 trainable weights, showcasing the power of integrating rule-derived features with contextual embeddings.
FirmPilot doubles the web-service reachability of firmware rehosting, transforming how we analyze IoT devices in emulated environments.
SEED transforms past experiences into actionable skills, allowing reinforcement learning policies to evolve and improve in real-time.
Hidden Decoding achieves unprecedented performance improvements in large language models by scaling computation along the sequence length without modifying the Transformer architecture.
Self-distillation in a verifiable environment enables web agents to achieve competitive performance without reliance on external teacher models.
LLMs can navigate massive chemical spaces and enforce toxicity filters in drug discovery, but only if you constrain them with a dual-layer architecture that combines free-form reasoning with structured execution.
