https://github.com/luozhongze/ForPKG
공식 코드ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application Analysis
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/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/lxchtan/tegtok
공식 코드TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge
https://github.com/lycheeefish/vhexpansion
공식 코드Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Models
https://github.com/lyyf2002/asgea
공식 코드ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment
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
https://github.com/lzw108/raemollm
공식 코드https://github.com/lzxlin/mclea
공식 코드Multi-modal Contrastive Representation Learning for Entity Alignment
https://github.com/m-hildebrandt/R2D2
공식 코드https://github.com/m3hrdadfi/rag-memory-interplay
공식 코드https://github.com/m3rg-iitd/aila
공식 코드Autonomous Microscopy Experiments through Large Language Model Agents
https://github.com/ma787639046/tdro
공식 코드Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval
https://github.com/maarten-deraedt/idas-intent-discovery-with-abstract-summarization
공식 코드https://github.com/macaronlin/llama3-quantization
공식 코드An empirical study of LLaMA3 quantization: from LLMs to MLLMs
https://github.com/machine-reasoning-ufrgs/spixel-gat
공식 코드Superpixel Image Classification with Graph Attention Networks
https://github.com/machuangtao/kg-rag4sm
공식 코드Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching
https://github.com/machuangtao/llm-kg4qa
공식 코드Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
https://github.com/maclab-hfut/psycollm
공식 코드PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation
https://github.com/magic-research/Sa2VA
공식 코드https://github.com/magkai/CONQUER
공식 코드https://github.com/mainuliitkgp/ar-bert
공식 코드https://github.com/maitrix-org/voila
공식 코드Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play
https://github.com/malek-mechergui/codemdp
공식 코드Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch
https://github.com/mali-git/hyper_relational_ilp
공식 코드Improving Inductive Link Prediction Using Hyper-Relational Facts
https://github.com/malllabiisc/ConfGCN
공식 코드Neural Graph Embedding Methods for Natural Language Processing
https://github.com/malllabiisc/InteractE
공식 코드InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
https://github.com/malllabiisc/cesi
공식 코드CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
https://github.com/mandt-lab/knowledge-graph-tuning
공식 코드https://github.com/mandyyyyii/scibench
공식 코드SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
https://github.com/manestay/borderlines
공식 코드This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models
https://github.com/manestay/bordirlines
공식 코드BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.