https://github.com/Trusted-AI/adversarial-robustness-toolbox
공식 코드Weakly Supervised Detection of Hallucinations in LLM Activations
Papers with Code 아카이브
Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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
https://github.com/YeLuoSuiYou/openstorypp
공식 코드Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling
https://github.com/Ymm-cll/Typoglycemia
공식 코드Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia
https://github.com/YuanGongND/ltu
공식 코드https://github.com/YuexingHao/In-Basket-Message-Evaluation
공식 코드https://github.com/Yunbo-max/EQ-Negotiator
공식 코드EQ-Negotiator: An Emotion-Reasoning LLM Agent in Credit Dialogues
https://github.com/Yunbo-max/LLM-TabFlow
공식 코드LLM-TabFlow: Synthetic Tabular Data Generation with Inter-column Logical Relationship Preservation
https://github.com/ZGChung/Mix-of-Granularity
공식 코드Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation
https://github.com/ZetangForward/L-CITEEVAL
공식 코드L-CiteEval: Do Long-Context Models Truly Leverage Context for Responding?
https://github.com/ZeyuLing/MotionLLaMA
공식 코드MotionLLaMA: A Unified Framework for Motion Synthesis and Comprehension
https://github.com/Zhihan72/TCELongBench
공식 코드https://github.com/Zi-YuanYang/SCAN-PhysFed
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.