Papers with Code 아카이브
Large Language Model
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hkuds/autoagent
공식 코드AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents
https://github.com/hkuds/diffkg
공식 코드https://github.com/hkuds/lightrag
공식 코드https://github.com/hkuds/minirag
공식 코드MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation
https://github.com/hkuds/opengraph
공식 코드https://github.com/hkuds/videorag
공식 코드VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos
https://github.com/hkunlp/batch-prompting
공식 코드Batch Prompting: Efficient Inference with Large Language Model APIs
https://github.com/hkust-knowcomp/abductivekgr
공식 코드Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
https://github.com/hkust-knowcomp/atomic-conceptualization
공식 코드Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization
https://github.com/hkust-knowcomp/autoschemakg
공식 코드https://github.com/hkust-knowcomp/ceqa
공식 코드Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
https://github.com/hkust-knowcomp/co2lm
공식 코드CoCoLM: COmplex COmmonsense Enhanced Language Model with Discourse Relations
https://github.com/hkust-knowcomp/complexhyperbolickge
공식 코드Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
https://github.com/hkust-knowcomp/efo-1-qa-benchmark
공식 코드Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs
https://github.com/hkust-knowcomp/efok-cqa
공식 코드$\text{EFO}_{k}$-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation
https://github.com/hkust-knowcomp/eventground
공식 코드EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs
https://github.com/hkust-knowcomp/fit
공식 코드Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
https://github.com/hkust-knowcomp/gold
공식 코드Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection
https://github.com/hkust-knowcomp/lmpnn
공식 코드Logical Message Passing Networks with One-hop Inference on Atomic Formulas
https://github.com/hkust-knowcomp/mico
공식 코드MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation
https://github.com/hkust-knowcomp/nrn
공식 코드Knowledge Graph Reasoning over Entities and Numerical Values
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.