https://github.com/TeaPearce/Counter-Strike_Behavioural_Cloning
공식 코드Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
Papers with Code 아카이브
Knowledge Graph Completion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 7
- 보존된 평가 기록
- 17
Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/TechnicolorGUO/InteractiveSurvey
공식 코드InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
https://github.com/TemporalKGTeam/DyERNIE
공식 코드DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
https://github.com/Tencent/TStarBots
공식 코드TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
https://github.com/TengShi-RUC/CFRAG
공식 코드Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
https://github.com/Thesys-lab/Helix-ASPLOS25
공식 코드Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow
https://github.com/TimDettmers/ConvE
공식 코드https://github.com/TmacMai/CoMPILE_Inductive_Knowledge_Graph
공식 코드Communicative Message Passing for Inductive Relation Reasoning
https://github.com/TongLiu-github/TemperatureSaling4RTs
공식 코드https://github.com/TonyLianLong/LLM-groundedDiffusion
공식 코드https://github.com/TrustAIRLab/VoiceJailbreakAttack
공식 코드https://github.com/Trusted-AI/adversarial-robustness-toolbox
공식 코드Weakly Supervised Detection of Hallucinations in LLM Activations
https://github.com/Twilight92z/Role-of-LLM
공식 코드Understanding the Role of LLMs in Multimodal Evaluation Benchmarks
https://github.com/UMass-Foundation-Model/VisualCoT
공식 코드https://github.com/VARGPT-family/VARGPT
공식 코드https://github.com/VDIGPKU/OpenAD
공식 코드OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
https://github.com/VITA-MLLM/VITA
공식 코드https://github.com/Valdecy/pyDecision
공식 코드https://github.com/Vision-CAIR/MiniGPT4-video
공식 코드https://github.com/VulScribeR/VulScribeR
공식 코드VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
https://github.com/WPENGxs/X-WebAgentBench
공식 코드X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System
https://github.com/WangCan1178/Plug-and-Play-Estimation
공식 코드Plug-and-Play Performance Estimation for LLM Services without Relying on Labeled Data
https://github.com/WangHanLinHenry/STeCa
공식 코드STeCa: Step-level Trajectory Calibration for LLM Agent Learning
https://github.com/Weixin-Liang/Mapping-the-Increasing-Use-of-LLMs-in-Scientific-Papers
공식 코드https://github.com/Whalefishin/LLM_animation
공식 코드Real-time Animation Generation and Control on Rigged Models via Large Language Models
https://github.com/WisdomShell/RewardAnything
공식 코드RewardAnything: Generalizable Principle-Following Reward Models
https://github.com/X-LANCE/SLAM-LLM
공식 코드DRCap: Decoding CLAP Latents with Retrieval-Augmented Generation for Zero-shot Audio Captioning
https://github.com/X-PLUG/mPLUG-Owl/tree/main/mPLUG-Owl2
공식 코드mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
https://github.com/X1AOX1A/UniPoll
공식 코드UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization
https://github.com/XGenerationLab/XiYan-SQL
공식 코드A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL
https://github.com/XHMY/LLM-RankFusion
공식 코드LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking
https://github.com/XiaoduoAILab/XmodelLM-1.5
공식 코드https://github.com/XinyuZhou2000/Spoken_Dialogue
공식 코드Towards Joint Modeling of Dialogue Response and Speech Synthesis based on Large Language Model
https://github.com/YZ-Cai/SimGRAG
공식 코드SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation
https://github.com/YannisZa/GeNSIT
공식 코드Generating Origin-Destination Matrices in Neural Spatial Interaction Models
https://github.com/YaoJiayi/CacheBlend
공식 코드CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.