Tag: Human-AI Interaction
All the articles with the tag "Human-AI Interaction".
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Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
本文提出PaperCoder框架,通过多代理LLM的多阶段管道自动从机器学习论文生成高质量代码仓库,提升了研究的可复现性,并在基准测试中显著优于现有方法。
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Improving Reasoning Performance in Large Language Models via Representation Engineering
本文通过表示工程方法,利用控制向量干预大型语言模型的残差流,成功提升了Pythia和Mistral模型在归纳、演绎和数学推理任务上的表现,表明推理能力可通过调整内部表示进行调控。
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Codenames as a Benchmark for Large Language Models
本论文提出使用Codenames游戏作为LLMs推理能力的基准,通过实验评估不同LLMs在语言理解、战略推理和合作方面的表现,展示了它们的独特行为和泛化潜力。
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Humanity's Last Exam
本文引入HUMANITY'S LAST EXAM基准测试,通过专家创建的挑战性多模态问题,解决现有LLM基准饱和问题,评估模型在封闭式学术任务中的能力。
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Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Insight-V introduces a scalable data generation pipeline and a multi-agent system with iterative DPO training to significantly enhance long-chain visual reasoning in MLLMs, achieving up to 7.0% performance gains on challenging benchmarks while maintaining perception capabilities.