https://github.com/christianyang37/chiwun
How to Protect Copyright Data in Optimization of Large Language Models?
Papers with Code 아카이브
Inductive knowledge graph completion
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/circlemind-ai/fast-graphrag
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
https://github.com/clabrugere/wukong-recommendation
Wukong: Towards a Scaling Law for Large-Scale Recommendation
https://github.com/cmu-l3/llmlean
Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning
https://github.com/cmu-l3/ntp-toolkit
https://github.com/codelion/adaptive-classifier
LettuceDetect: A Hallucination Detection Framework for RAG Applications
https://github.com/codelion/adaptive-classifier/blob/main/src/adaptive_classifier/memory.py
https://github.com/codelion/optillm
Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing
https://github.com/codelion/optillm/blob/main/optillm/moa.py
Mixture-of-Agents Enhances Large Language Model Capabilities
https://github.com/codelion/optillm/blob/main/optillm/plugins/memory_plugin.py
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
https://github.com/codelion/optillm/blob/main/scripts/eval_frames_benchmark.py
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
https://github.com/col14m/cadrille
cadrille: Multi-modal CAD Reconstruction with Online Reinforcement Learning
https://github.com/coldmist-lu/mqm_ape
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
https://github.com/conceptofmind/palm
https://github.com/cui0523/Code6/tree/main/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/cure-lab/mma-diffusion
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
https://github.com/cwida/pdx
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information Retrieval
https://github.com/cybermetric/cybermetric
https://github.com/czy1999/MultiTQ
https://github.com/czy1999/SubGTR
https://github.com/daiquocnguyen/ConvKB
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
https://github.com/dair-iitd/kbc-baseline
https://github.com/danny911kr/REALTALK
Evaluating Very Long-Term Conversational Memory of LLM Agents
https://github.com/dao-ailab/flash-attention
Efficient Memory Management for Large Language Model Serving with PagedAttention
https://github.com/data-prep-kit/data-prep-kit
Data-Prep-Kit: getting your data ready for LLM application development
https://github.com/datphamvn/hsevo
https://github.com/datquocnguyen/STransE
A survey of embedding models of entities and relationships for knowledge graph completion
https://github.com/davendw49/gakg
https://github.com/davidnvq/lwit-alfred
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks
https://github.com/dayeonki/rewrite_mt
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
https://github.com/deep-agent/r1-v
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
https://github.com/deepset-ai/haystack
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/dellixx/TransERR
TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation
https://github.com/destwang/InterHT
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/dglai/wsdm2022-challenge
https://github.com/dice-group/KG-NMT
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.