Tag: Human-AI Interaction
All the articles with the tag "Human-AI Interaction".
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Reverse Preference Optimization for Complex Instruction Following
本文提出逆向偏好优化(RPO)方法,通过动态反转指令中未满足的约束消除偏好对噪声,在多轮复杂指令跟随任务上显著优于DPO基线,并在70B模型上超越GPT-4o。
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Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
This paper introduces a recursive summarization method to enhance long-term dialogue memory in LLMs, achieving marginal quantitative improvements and notable qualitative gains in consistency and coherence across multiple models and datasets.
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DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs
本文提出DialogueReason,一种基于对话的推理模式,通过PPO和规则奖励函数训练大型语言模型,以提升复杂复合问答任务中的推理多样性和连贯性,并在MATH、AIME和GPQA数据集上展现出比单论式推理更强的鲁棒性。
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Efficient Reasoning for LLMs through Speculative Chain-of-Thought
本文提出了推测思维链(SCoT)框架,通过轻量级草稿模型并行生成多个思维链草稿,并由微调后的目标大模型选择最佳草稿或决定重新思考,从而在保持接近大模型准确率的同时,显著降低了大型语言模型的推理延迟。
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Toward Efficient Exploration by Large Language Model Agents
本文通过使用 LLMs 显式实现后验采样 RL 算法,显著提高了 LLMs 代理在自然语言环境中的探索效率,同时保留了经典算法的统计性能优势。