https://github.com/hkust-knowcomp/nrn
공식 코드Knowledge Graph Reasoning over Entities and Numerical Values
Papers with Code 아카이브
Large Language Model
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hkust-knowcomp/pipenet
공식 코드PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs
https://github.com/hkust-knowcomp/privatengdb
공식 코드https://github.com/hkust-knowcomp/query2particles
공식 코드Query2Particles: Knowledge Graph Reasoning with Particle Embeddings
https://github.com/hkust-knowcomp/sessioncqa
공식 코드Understanding Inter-Session Intentions via Complex Logical Reasoning
https://github.com/hkust-knowcomp/sqe
공식 코드Sequential Query Encoding For Complex Query Answering on Knowledge Graphs
https://github.com/hkust-knowcomp/vd-pcr
공식 코드VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution
https://github.com/hkust-knowcomp/wfre
공식 코드https://github.com/hkust-nlp/pem_composition
공식 코드Composing Parameter-Efficient Modules with Arithmetic Operations
https://github.com/hkust-zhiyao/rtllm
공식 코드RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model
https://github.com/hliulab/tcrlm
공식 코드https://github.com/hmchuong/CoLLM
공식 코드https://github.com/hmthanh/GCAT
공식 코드Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
https://github.com/hmuus01/educational_qg
공식 코드Scalable Educational Question Generation with Pre-trained Language Models
https://github.com/hmxiong/3ur-llm
공식 코드3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding
https://github.com/holarissun/Data-Centric-OPE
공식 코드https://github.com/holarissun/rewardmodelingbeyondbradleyterry
공식 코드https://github.com/holistic-ai/THaMES
공식 코드THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models
https://github.com/holmeswww/spring
공식 코드https://github.com/homan-lab/noise-audit-dataset
공식 코드https://github.com/homan-lab/voiced
공식 코드https://github.com/honee-w/u-sam
공식 코드U-SAM: An audio language Model for Unified Speech, Audio, and Music Understanding
https://github.com/hongwang600/flair
공식 코드Bot or Human? Detecting ChatGPT Imposters with A Single Question
https://github.com/hongzhiq/finegrainedsuicidedetection
공식 코드SOS-1K: A Fine-grained Suicide Risk Classification Dataset for Chinese Social Media Analysis
https://github.com/hoon-ock/catalystaigent
공식 코드https://github.com/hoorangyee/lrage
공식 코드https://github.com/hornhehhf/rr
공식 코드Rethinking with Retrieval: Faithful Large Language Model Inference
https://github.com/hotbento/kg4receval
공식 코드KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
https://github.com/hou27/recdap-fkgc
공식 코드https://github.com/houcharlie/pre-text
공식 코드PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
https://github.com/howardli0816/dual-fusion-diffusion
공식 코드https://github.com/hpcaitech/colossalai
공식 코드https://github.com/hpcaitech/elixir
공식 코드https://github.com/hplt-project/monolingual-multilingual-instruction-tuning
공식 코드Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
https://github.com/hrishikeshrt/sangrahaka
공식 코드Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs
https://github.com/hritikbansal/videocon
공식 코드VideoCon: Robust Video-Language Alignment via Contrast Captions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.