Hugging Face Trending Papers July 13, 2026

MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment

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Modern large language models (LLMs) operate in interactive multi-turn settings, making multi-turn jailbreaking a realistic threat model and an important setting for automated red teaming. A core challenge in learning multi-turn jailbreak attackers is credit assignment: different turns contribute differently to the final outcome, yet existing learning signals are often too coarse to identify their individual contributions.

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Related stories

TRACE: Trajectory Aware Reasoning for Multi-Turn Adversarial Conversation Evaluation

THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models

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D-Judge: Disrupting Multi-Turn Jailbreaks using Semantics-Preserving Output Rewriting

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