Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhenchenwan/ted-viton
공식 코드TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
https://github.com/zhenjia2017/exaqt
공식 코드https://github.com/zhentingqi/rag-privacy
공식 코드https://github.com/zhenxianglance/medagent-cdr-agent
공식 코드https://github.com/zhenxiong-dl/icassp2025-rcac
공식 코드https://github.com/zhenxuan-zhang/gema_score
공식 코드GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report Evaluation
https://github.com/zhenzhiwang/intercontrol
공식 코드InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint
https://github.com/zhi-xuan-chen/reg2rg
공식 코드Large Language Model with Region-guided Referring and Grounding for CT Report Generation
https://github.com/zhi520/nc-kge
공식 코드Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction
https://github.com/zhichaoxu-shufe/constrained-qfs
공식 코드A Lightweight Constrained Generation Alternative for Query-focused Summarization
https://github.com/zhichaoxu-shufe/context-aware-decoding-qfs
공식 코드Context-aware Decoding Reduces Hallucination in Query-focused Summarization
https://github.com/zhilingluo/theorem_prover
공식 코드https://github.com/zhilingyan/gpt4v-medical-report
공식 코드Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V
https://github.com/zhiqix/nl2gql
공식 코드$R^3$-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
https://github.com/zhiweihu1103/et-mclet
공식 코드Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs
https://github.com/zhiweihu1103/et-tet
공식 코드https://github.com/zhiweihu1103/hkgc-hyperformer
공식 코드https://github.com/zhiweihu1103/qe-temp
공식 코드Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs
https://github.com/zhixiangsu/apst
공식 코드Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
https://github.com/zhixiangsu/krst
공식 코드Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer
https://github.com/zhiyuanhubj/ugro-cimk23
공식 코드https://github.com/zhiyuanpeng/eloq
공식 코드ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions
https://github.com/zhoukanglei/cofinal_aqa
공식 코드CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment
https://github.com/zhouzihao501/nlpcc2023-shared-task3-chinesemwp
공식 코드https://github.com/zhrli324/argus
공식 코드Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems
https://github.com/zhrli324/corba
공식 코드CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models
https://github.com/zhuangshaobin/vlogger
공식 코드https://github.com/zhudotexe/redel
공식 코드ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems
https://github.com/zhuole1025/LyricWhiz
공식 코드LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
https://github.com/zhuqianglu/b-vllm
공식 코드B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens
https://github.com/zhurboo/RAGA
공식 코드RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment
https://github.com/zhw12/BERTRL
공식 코드https://github.com/zhzihao/wikigenbench
공식 코드WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World Scenario
https://github.com/zhziszz/weak-to-strong-search
공식 코드Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
https://github.com/zibinpan/mollm
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.