論文標題：Direct Preference Optimization: Your Language Model is Secretly a Reward Model論文鏈接...
發(fā)簡信
IP屬地：浙江
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直接偏好優(yōu)化技術(shù)DPO基礎理論及推導
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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 Approach for Rum...
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生成式大模型的RLHF技術(shù)（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(jù)的特征，而這些訓練數(shù)據(jù)通常既包含高質(zhì)量的也包含低質(zhì)量的忆某，因此模型有時會產(chǎn)生不被期望的行為，如編造事實浦箱，生成有偏見...
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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://arxiv.org/abs/2106....
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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 Model Parallel...
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思維樹：大模型的復雜推理技術(shù)論文標題：Tree of Thoughts: Deliberate Problem Solving with Large Language Models論文鏈接：https:...
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LIMA：小規(guī)模監(jiān)督數(shù)據(jù)指令微調(diào)論文標題：LIMA: Less Is More for Alignment論文鏈接：https://arxiv.org/abs/2305.11206[https://arxi...
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語言模型的自洽性思維鏈推理技術(shù)論文標題：Self-Consistency Improves Chain of Thought Reasoning in Language Models論文鏈接：https:...
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GPipe：微批量流水線并行論文標題：GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism論文鏈接：https://arxiv.org/ab...
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InstructGPT：語言模型的人類反饋指令對齊
論文標題：Training language models to follow instructions with human feedback論文鏈接：https://ar...
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高效底座模型LLaMA論文標題：LLaMA: Open and Efficient Foundation Language Models論文鏈接：https://arxiv.org/abs/230...
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TokenGT：Transformer是強大的圖學習器論文標題：Pure Transformers are Powerful Graph Learners論文鏈接：https://arxiv.org/abs/2207.02505...
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思維鏈Prompting促進大型語言模型的推理能力論文標題：Chain-of-Thought Prompting Elicits Reasoning in Large Language Models論文鏈接：https://...
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GPT-3：大語言模型小樣本學習論文標題：Language Models are Few-Shot Learners論文鏈接：https://arxiv.org/abs/2005.14165[https:/...
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GPT-2：無監(jiān)督多任務學習語言模型論文標題：Language Models are Unsupervised Multitask Learners論文鏈接：https://d4mucfpksywv.cloud...
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GPT：通用預訓練語言模型論文標題：Improving Language Understanding by Generative Pre-Training論文鏈接：https://www.cs.ubc...