論文標題：Memory-R1: Enhancing Large Language Model Agents to Manage and Util...
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Memory-R1：用強化學習讓大模型智能體學會管理長期記憶 -
Reflexion：讓語言智能體通過語言反饋自我強化論文標題：Reflexion: Language Agents with Verbal Reinforcement Learning論文鏈接：h...
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ACL 2025 - 基于片段監(jiān)督偏好優(yōu)化的字幕翻譯時延對齊論文標題：Fine-grained Video Dubbing Duration Alignment with Segment Supervis...
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直接偏好優(yōu)化技術DPO基礎理論及推導
論文標題：Direct Preference Optimization: Your Language Model is Secretly a R...
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自適應視圖增強的謠言檢測圖對比學習方法論文標題：Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning A...
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生成式大模型的RLHF技術（一）：基礎一、概述 大語言模型（LLMs）在預訓練的過程中通常會捕捉數(shù)據的特征，而這些訓練數(shù)據通常既包含高質量的也包含低質量的，因此模型有時會產生不被期望...
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LoRA：大模型下游任務的低秩適應論文標題：LoRA: Low-Rank Adaptation of Large Language Models論文鏈接：https://arxi...
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Megatron-LM：Transformer模型專用分布式張量模型并行方法論文標題：Megatron-LM: Training Multi-Billion Parameter Language Models Using...
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思維樹：大模型的復雜推理技術論文標題：Tree of Thoughts: Deliberate Problem Solving with Large Language Mo...
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LIMA：小規(guī)模監(jiān)督數(shù)據指令微調論文標題：LIMA: Less Is More for Alignment論文鏈接：https://arxiv.org/abs/2305.112...
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