Tag: Large Language Model
All the articles with the tag "Large Language Model".
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AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models
Published: at 11:25 AM
85.93 🤔本文提出 AutoL2S 框架，通过标注长短推理路径和 <EASY> 标记训练 LLMs，使其根据问题复杂性动态选择推理长度，实验显示推理长度压缩高达57%，性能基本保持。
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AI in Money Matters
Published: at 11:03 AM 99.13 🤔This paper investigates the cautious adoption of Large Language Models like ChatGPT in the Fintech industry through qualitative interviews, highlighting professionals' optimism for routine task automation, concerns over regulatory inadequacies, and interest in bespoke models to ensure compliance and data control.
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Revisiting Overthinking in Long Chain-of-Thought from the Perspective of Self-Doubt
Published: at 11:28 AM 85.64 🤔本文从自我怀疑视角量化分析长链式思维中的过度思考问题，并提出一种简单提示方法，通过评估输入有效性减少令牌消耗和自我怀疑，在数学推理任务中显著提升效率并维持准确率。
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1bit-Merging: Dynamic Quantized Merging for Large Language Models
Published: at 11:52 AM 92.20 🤔1bit-Merging提出了一种动态模型合并框架，通过1位量化任务向量和任务特定路由，在保持94.53%性能的同时将存储需求降至55.02%，在通用知识、数学推理和代码生成任务上优于传统和动态合并方法。
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Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs
Published: at 11:26 AM 85.53 🤔本文提出DCoT方法，通过在单次推理步骤内生成多个多样化推理链并进行自我改进，显著提升了大型语言模型在复杂推理任务上的性能，尤其在结果空间较大的任务中效果突出。