A masked-token hit-rate comparison method detects pretraining data membership in black-box LLMs with performance comparable to white-box approaches.
A preliminary evalu- ation of chatgpt for zero-shot dialogue understanding,
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VLK-RL verifies LLM-derived constraints and maps them into structured state representations to improve RL performance on long-horizon cross-domain dialogue tasks.
citing papers explorer
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MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models
A masked-token hit-rate comparison method detects pretraining data membership in black-box LLMs with performance comparable to white-box approaches.
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Bridging Reasoning and Action: Hybrid LLM-RL Framework for Efficient Cross-Domain Task-Oriented Dialogue
VLK-RL verifies LLM-derived constraints and maps them into structured state representations to improve RL performance on long-horizon cross-domain dialogue tasks.