Papers with multi-turn pipelines

1 papers
Assertion-Conditioned Compliance: A Provenance-Aware Vulnerability in Multi-Turn Tool-Calling Agents (2026.eacl-industry)

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Challenge: Multi-turn tool-calling models have emerged as a key feature in modern AI assistants, but their success in safety-critical industries remains constrained by concerns about transparency and model resilience.
Approach: They propose a new evaluation paradigm for multi-turn function-calling LLMs that provides holistic metrics that evaluate a model’s behavior when confronted with misleading assertions.
Outcome: The proposed evaluation paradigm evaluates a model's behavior when confronted with misleading assertions originating from two distinct vectors: (1) user-sourced assertions (USAs) and (2) function-sourced assertions (FSAs).

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