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paperarXivTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue

Large language models used in task-oriented dialogue often produce fluent but unsafe responses when backend database calls fail, return empty results, or surface mismatched information, inventing venues, confirmations, or booking details not grounded in the database. We study a lightweight prompting-based recovery approach that improves robustness without retraining or additional model calls. We compare three response strategies, including a guided recovery prompt conditioned on structured database status, across six open-weight model families (DeepSeek-R1, Gemma-2, Llama-3, Mistral, Phi-3, an

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LinkedLinked via unknownEvaluating long-term memory limits in stateless LLM chatbots — feedback needed [D] →
LinkedLinked via unknownPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers →
LinkedLinked via unknownIEEE Rolls Out Large Language Models Virtual Training Course →
LinkedLinked via unknownA system-level approach to prompt injection: separating instruction and data channels in LLM agents [P] →
PossiblePossibly related (embedding) · 53%KennispuntTwente/tidyprompt →

Covers

newsEvaluating long-term memory limits in stateless LLM chatbots — feedback needed [D]newsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers newsIEEE Rolls Out Large Language Models Virtual Training Course

Covers (incoming)

newsA system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]

Implements (incoming)

repoKennispuntTwente/tidyprompt

Related across the graph

newsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers newsEvaluating long-term memory limits in stateless LLM chatbots — feedback needed [D]repoKennispuntTwente/tidyprompt newsIEEE Rolls Out Large Language Models Virtual Training Course newsA system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]

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