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Black-Box Forensics for Conversational LLM Agents
对话LLM黑盒取证新方法，揭秘模型内部行为无需访问模型参数。
arXiv:2606.22698v1 Announce Type: cross Abstract: As LLM-powered scams proliferate, black-box forensics for conversational LLM agents offers a path to…
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G-Long: Graph-Enhanced Memory Management for Efficient Long-Term Dialogue Agents
用图结构优化大模型长期对话记忆，效率与连贯性双提升的学术新突破
arXiv:2606.13115v1 Announce Type: cross Abstract: While Large Language Models (LLMs) have advanced open-domain dialogue systems, maintaining long-term…
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Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems
提出目标导向推理框架，增强对话式LLM代理的RAG记忆机制，提升长程对话连贯性。
arXiv:2605.12213v2 Announce Type: replace Abstract: LLM-based conversational AI agents struggle to maintain coherent behavior over long horizons due t…
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ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents
提出SOP引导的MCTS规划框架，让LLM对话代理在复杂任务中更可控、更高效。
arXiv:2407.03884v4 Announce Type: replace-cross Abstract: Dialogue agents powered by Large Language Models (LLMs) show superior performance in various…
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MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents
最新论文提出MemORAI方法，用自适应图智能优化LLM对话代理的记忆组织与检索，提升长期对话能力。
arXiv:2605.01386v2 Announce Type: replace Abstract: Large Language Models (LLMs) lack persistent memory for long-term personalized conversations. Exis…
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MGRetrieval: Memory-Guided Reflective Retrieval for Long-Term Dialogue Agents
提出记忆引导的反思检索方法，专为长期对话代理设计，提升信息召回的精准与连续性。
arXiv:2605.27437v1 Announce Type: cross Abstract: Large Language Models (LLMs) have made significant progress in dialogue, yet redundant memory contex…
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MirrorBench: A Benchmark to Evaluate Conversational User-Proxy Agents for Human-Likeness
KDD 2026发布最新基准MirrorBench，重新定义对话代理拟人化评估标准，推动人机交互研究新高度
arXiv:2601.08118v3 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used as human simulators, both for evaluating …