ModeX selects the modal semantic output from multiple LLM generations via a similarity graph and recursive spectral clustering without needing reward models or evaluators.
Self-refine: Iterative refinement with self-feedback
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
PoC-Adapt improves automated PoC exploit generation reliability by 25% and lowers cost using semantic state validation and RL adaptive policies, verifying 12 PoCs from 80 recent CVE attempts at $0.42 each.
citing papers explorer
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ModeX: Evaluator-Free Best-of-N Selection for Open-Ended Generation
ModeX selects the modal semantic output from multiple LLM generations via a similarity graph and recursive spectral clustering without needing reward models or evaluators.
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PoC-Adapt: Semantic-Aware Automated Vulnerability Reproduction with LLM Multi-Agents and Reinforcement Learning-Driven Adaptive Policy
PoC-Adapt improves automated PoC exploit generation reliability by 25% and lowers cost using semantic state validation and RL adaptive policies, verifying 12 PoCs from 80 recent CVE attempts at $0.42 each.