https://github.com/lmmapplication/rakg
공식 코드RAKG:Document-level Retrieval Augmented Knowledge Graph Construction
Papers with Code 아카이브
Large Language Model
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lmmlzn/awesome-llms-datasets
공식 코드https://github.com/lmous/openai-gpt4-coding-assistant
공식 코드https://github.com/logintelligence/log-analytics-chatgpt
공식 코드https://github.com/longhao-chen/aicas2024
공식 코드https://github.com/longmalongma/desa2va
공식 코드Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder
https://github.com/longquanjiang/ontoscprompt
공식 코드Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering
https://github.com/lorenzflow/robust-moa
공식 코드This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMs
https://github.com/louiskwoklf/llms-cultural-adaptability
공식 코드Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personas
https://github.com/lrudl/sad
공식 코드Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs
https://github.com/ls1rius/wsi_five
공식 코드Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
https://github.com/lucas-ty/llm_implicit_reference
공식 코드You Know What I'm Saying: Jailbreak Attack via Implicit Reference
https://github.com/lucas-ventura/CoVR
공식 코드CoVR-2: Automatic Data Construction for Composed Video Retrieval
https://github.com/luchang1113/hep-llm-play-starcraftii
공식 코드https://github.com/luchris429/DiscoPOP
공식 코드Discovering Preference Optimization Algorithms with and for Large Language Models
https://github.com/luciferkonn/dt_mem
공식 코드Think Before You Act: Decision Transformers with Working Memory
https://github.com/luckybian/isy5001
공식 코드https://github.com/ludc506/InternVL-X
공식 코드InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression
https://github.com/luffycodes/tutorbot-spock-phys
공식 코드Code Soliloquies for Accurate Calculations in Large Language Models
https://github.com/luka-group/FaviComp
공식 코드Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
https://github.com/luka-group/mDPO
공식 코드mDPO: Conditional Preference Optimization for Multimodal Large Language Models
https://github.com/lukasbahr/kg-rag-fmea
공식 코드Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis
https://github.com/lukeforeveryoung/ureader
공식 코드https://github.com/lukeming-tsinghua/instruction-tuning-for-open-world-ie
공식 코드PIVOINE: Instruction Tuning for Open-world Information Extraction
https://github.com/lukeyoffe/debunc
공식 코드DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics
https://github.com/lululu008/waterdrum
공식 코드https://github.com/luo-junyu/awesome-agent-papers
공식 코드Large Language Model Agent: A Survey on Methodology, Applications and Challenges
https://github.com/luomingshuang/m3gpt
공식 코드M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
https://github.com/lupantech/promptpg
공식 코드RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning
https://github.com/lvxianwei/DeepMerge
공식 코드DeepMerge: Deep-Learning-Based Region-Merging for Image Segmentation
https://github.com/lycheeefish/vhexpansion
공식 코드Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Models
https://github.com/lzhang90/prompt/blob/main/prompts
공식 코드https://github.com/lzw-lzw/groundinggpt
공식 코드https://github.com/lzw-lzw/lego
공식 코드https://github.com/lzw-lzw/unifiedmllm
공식 코드UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model
https://github.com/lzw108/conspemollm
공식 코드ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.