https://github.com/renqibing/CodeAttack
공식 코드CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/rosaliatufano/impact_pre-training
공식 코드Automating Code-Related Tasks Through Transformers: The Impact of Pre-training
https://github.com/rucaibox/bamboo
공식 코드https://github.com/sail-sg/longspec
공식 코드LongSpec: Long-Context Speculative Decoding with Efficient Drafting and Verification
https://github.com/sailresearch/awesome-foundation-model-leaderboards
공식 코드https://github.com/salesforce/codet5
공식 코드CodeT5+: Open Code Large Language Models for Code Understanding and Generation
https://github.com/saltudelft/codefill
공식 코드CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences
https://github.com/scientific-computing-lab-nrcn/mpi-rical
공식 코드MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers
https://github.com/scientific-computing-lab-nrcn/tokompiler
공식 코드https://github.com/sensente/security-attacks-on-lccts
공식 코드https://github.com/tech-srl/slm-code-generation
공식 코드https://github.com/thudm/longbench
공식 코드LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
https://github.com/tuhh-softsec/llmseceval
공식 코드LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations
https://github.com/v587su/frugalcoder
공식 코드https://github.com/v587su/sec
공식 코드https://github.com/wangitu/ada-instruct
공식 코드Ada-Instruct: Adapting Instruction Generators for Complex Reasoning
https://github.com/weiguopian/metatptrans
공식 코드MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning
https://github.com/wunderalbert/prod-neural-materials
공식 코드https://github.com/wutong8023/versicode
공식 코드https://github.com/yaxirhuxxain/Source-Code-Suggestion
공식 코드CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling
https://github.com/zhimin-z/Foundation-Model-Leaderboard-Survey
공식 코드https://github.com/zjunlp/DeepKE/tree/main/example/llm
공식 코드CodeKGC: Code Language Model for Generative Knowledge Graph Construction
https://github.com/zjunlp/deepke
공식 코드CodeKGC: Code Language Model for Generative Knowledge Graph Construction
https://github.com/8023looker/med-rr
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning
https://github.com/8023looker/versatune
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning
https://github.com/Avmb/semantic_neq_game
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
https://github.com/MS-P3/code5/tree/main/starcoder
https://github.com/Microsoft/graph-based-code-modelling
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
https://github.com/ai45lab/codeattack
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
https://github.com/allen-li1231/refiner-rag
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
https://github.com/amazon-science/cceval
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
https://github.com/amazon-science/mxeval
https://github.com/ana-oprescu/greenllms
https://github.com/bigcode-project/starcoder2
https://github.com/deeplearnxmu/unigencoder
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
https://github.com/eth-sri/robust-code
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.