Lion Code Sampling Layers
![[PDF] A Survey on Code Generation with LLM-based Agents | Semantic Scholar](https://figures.semanticscholar.org/e61c7d1d89c5c696a3c80112caae210ea9169854/12-Figure5-1.png "Lion Code Sampling Layers")
![[PDF] A Survey on Code Generation with LLM-based Agents | Semantic Scholar](https://figures.semanticscholar.org/e61c7d1d89c5c696a3c80112caae210ea9169854/16-Table1-1.png "Lion Code Sampling Layers")
![[PDF] A Survey on Code Generation with LLM-based Agents | Semantic Scholar](https://figures.semanticscholar.org/e61c7d1d89c5c696a3c80112caae210ea9169854/7-Figure3-1.png "Lion Code Sampling Layers")
![[PDF] A Survey on Code Generation with LLM-based Agents | Semantic Scholar](https://figures.semanticscholar.org/e61c7d1d89c5c696a3c80112caae210ea9169854/250px/5-Figure2-1.png "Lion Code Sampling Layers")
![[PDF] A Survey on Code Generation with LLM-based Agents | Semantic Scholar](https://figures.semanticscholar.org/e61c7d1d89c5c696a3c80112caae210ea9169854/500px/9-Figure4-1.png "Lion Code Sampling Layers")
![[2311.11860] LION : Empowering Multimodal Large Language Model with ...](https://ar5iv.labs.arxiv.org/html/2311.11860/assets/x2.png "Lion Code Sampling Layers")
![[2309.14021] LoRD: Low Rank Decomposition of monolingual code LLMs for ...](https://ar5iv.labs.arxiv.org/html/2309.14021/assets/plot_layerwise_codegen.png "Lion Code Sampling Layers")
![[论文评述] LLM-Based Detection of Tangled Code Changes for Higher-Quality ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/llm-based-detection-of-tangled-code-changes-for-higher-quality-method-level-bug-datasets-3.png "Lion Code Sampling Layers")
![[PDF] A Survey on Code Generation with LLM-based Agents | Semantic Scholar](https://figures.semanticscholar.org/e61c7d1d89c5c696a3c80112caae210ea9169854/250px/4-Figure1-1.png "Lion Code Sampling Layers")
![[2409.03810] How Do Your Code LLMs Perform? Empowering Code Instruction ...](https://ar5iv.labs.arxiv.org/html/2409.03810/assets/x2.png "Lion Code Sampling Layers")
![[1907.10514] (py)LIon: a package for simulating trapped ion trajectories](https://ar5iv.labs.arxiv.org/html/1907.10514/assets/x1.png "Lion Code Sampling Layers")
/filters:no_upscale()/articles/ing-open-sources-lion-web-component/en/resources/1ING-Open-Sources-Lion-Its-White-Label-Web-Component-Library-1-1584346213171.jpg "Lion Code Sampling Layers")
![GitHub - YJiangcm/Lion: [EMNLP 2023] Lion: Adversarial Distillation of ...](https://github.com/YJiangcm/Lion/raw/master/pics/reasoning.png "Lion Code Sampling Layers")
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