njcx-ai

njcx-ai's Stars

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  12k270109768

• Instruction-Tuning-with-GPT-4/GPT-4-LLM

  Instruction Tuning with GPT-4

  Language:HTML4.2k4334300

• zjunlp/DeepKE

  [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

  Language:Python3.4k43559677

• RayeRen/acad-homepage.github.io

  AcadHomepage: A Modern and Responsive Academic Personal Homepage

  Language:SCSS1.3k3352.5k

• zjunlp/KnowLM

  An Open-sourced Knowledgable Large Language Model Framework.

  Language:Python1.2k11133123

• LIANGKE23/Awesome-Knowledge-Graph-Reasoning

  AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

  1.1k84127

• Alibaba-MIIL/ImageNet21K

  Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

  Language:Python725117171

• zjunlp/PromptKG

  PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

  Language:Python684125173

• EdinburghNLP/awesome-hallucination-detection

  List of papers on hallucination detection in LLMs.

  56927443

• noahshinn/reflexion-draft

  Reflexion: an autonomous agent with dynamic memory and self-reflection

  Language:Python37910241

• showlab/Awesome-MLLM-Hallucination

  📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).

  3786710

• zjunlp/EasyInstruct

  [ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.

  Language:Python35881633

• zjunlp/KnowPrompt

  [WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

  Language:Python19473334

• zjunlp/MKGformer

  [SIGIR 2022] Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

  Language:Python16565027

• zjunlp/DART

  [ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

  Language:Python1276916

• zjunlp/HVPNeT

  [NAACL 2022 Findings] Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction

  Language:Python9762010

• ZJU-Fangyin/KCL

  Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]

  Language:Python8631211

• zjunlp/FactCHD

  [IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection

  Language:Python78423

• seukgcode/MELBench

  Multimodal entity linking (MEL) aims to utilize multimodal information to map mentions to corresponding entities defined in knowledge bases. We release three MEL datasets: Weibo-MEL, Wikidata-MEL and Richpedia-MEL, containing 25,602, 18,880 and 17,806 samples from social media, encyclopedia and multimodal knowledge graphs respectively. A MEL dataset construction approach is proposed, including five stages: multimodal information extraction, mention extraction, entity extraction, triple construction and dataset construction. Experiment results demonstrate the usability of the datasets and the distinguishability between baseline models.

  76464

• OpenKG-ORG/EasyDetect

  An Easy-to-use Hallucination Detection Framework for LLMs.

  Language:Python49423

• zjunlp/KNN-KG

  [NLPCC 2023] Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings with Language Models

  Language:Python496109

• alipay/RJU_Ant_QA

  The RJUA-QA (RenJi hospital department of Urology and Antgroup collaborative Question and Answer dataset) is an innovative medical urology specialty QA inference dataset.

  47120

• zjunlp/LREBench

  [EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

  Language:Python33601

• zjunlp/DiagnoseRE

  [CCKS 2021] On Robustness and Bias Analysis of BERT-based Relation Extraction

  Language:Python27406

• CRIPAC-DIG/LogicCheckGPT

  [ACL 2024] Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. Detect and mitigate object hallucinations in LVLMs by itself through logical closed loops.

  Language:Python16420

• zjunlp/EasyDetect

  [ACL 2024] An Easy-to-use Hallucination Detection Framework for LLMs.

  Language:Python16511

• zjunlp/NLPCC2024_RegulatingLLM

  [NLPCC 2024] Shared Task 10: Regulating Large Language Models

  13402

• seucoin/unKR

  A Python Library for Uncertain Knowledge Graph Reasoning

  Language:Python122

• wutong8023/CoLL

  A continual learning framework for natural language processing.

  Language:Python7202

• njcx-ai/awesome-multimodal-knowledge-graph

  A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.

  Language:TeX1000