{"payload":{"pageCount":8,"repositories":[{"type":"Public","name":"LEGENT","owner":"thunlp","isFork":false,"description":"Open Platform for Embodied Agents","allTopics":["physics-engine","robot-simulator","language-grounding","embodied-ai","large-multimodal-models"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":135,"forksCount":7,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,7,3,3,1,11,10,19,12,10,4],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T06:20:29.473Z"}},{"type":"Public","name":"LAE","owner":"thunlp","isFork":false,"description":"Datasets and code for \"Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training\"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-24T03:14:58.436Z"}},{"type":"Public","name":"hyperbolic_llm","owner":"thunlp","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T05:52:28.597Z"}},{"type":"Public","name":"DebugBench","owner":"thunlp","isFork":false,"description":"The repository for paper \"DebugBench: \"Evaluating Debugging Capability of Large Language Models\".","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":40,"forksCount":1,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-17T03:47:34.875Z"}},{"type":"Public","name":"Prompt-Transferability","owner":"thunlp","isFork":false,"description":"On Transferability of Prompt Tuning for Natural Language Processing","allTopics":["prompt","pytorch","transfer-learning","pretrained-models","pretrained-language-model","pretrained-language-models","prompt-tuning","parameter-efficient-learning","parameter-efficient-tuning","nlp"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":3,"issueCount":2,"starsCount":89,"forksCount":11,"license":"MIT License","participation":[0,0,0,3,36,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,4,0,1,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,3,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-03T20:05:02.281Z"}},{"type":"Public","name":"GEAR","owner":"thunlp","isFork":false,"description":"Source code for ACL 2019 paper \"GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":5,"starsCount":98,"forksCount":25,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-03T19:44:04.356Z"}},{"type":"Public","name":"InfLLM","owner":"thunlp","isFork":false,"description":"The code of our paper \"InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory\"","allTopics":["large-language-models","llm","long-context","training-free"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":7,"starsCount":213,"forksCount":19,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,11,9,14,0,1,3,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-20T06:34:12.778Z"}},{"type":"Public","name":"ChatEval","owner":"thunlp","isFork":false,"description":"Codes for our paper \"ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":8,"starsCount":203,"forksCount":12,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-15T12:24:45.433Z"}},{"type":"Public","name":"LLaVA-UHD","owner":"thunlp","isFork":false,"description":"LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":20,"starsCount":216,"forksCount":10,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15,0,0,0,1,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-14T16:13:38.587Z"}},{"type":"Public","name":"TAADpapers","owner":"thunlp","isFork":false,"description":"Must-read Papers on Textual Adversarial Attack and Defense","allTopics":["adversarial-learning","paper-list","adversarial-defense","nlp","natural-language-processing","adversarial-attacks"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":1464,"forksCount":193,"license":"MIT License","participation":[0,0,0,0,4,0,0,0,4,0,0,3,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,3,0,0,0,0,4,0,0,0,0,0,0,4,0,0,0,3,2,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-12T05:20:53.795Z"}},{"type":"Public","name":"Knowledge-Plugin","owner":"thunlp","isFork":false,"description":"Repo for ACL2023 paper \"Plug-and-Play Knowledge Injection for Pre-trained Language Models\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":51,"forksCount":3,"license":"MIT License","participation":[2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-01T14:34:13.179Z"}},{"type":"Public","name":"AutoForm","owner":"thunlp","isFork":false,"description":"Code for paper \"Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":1,"starsCount":10,"forksCount":2,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-30T11:59:36.283Z"}},{"type":"Public","name":"EREN","owner":"thunlp","isFork":false,"description":"Official codes for COLING 2024 paper \"Robust and Scalable Model Editing for Large Language Models\": <a href=\"https://arxiv.org/abs/2403.17431v1\" rel=\"nofollow\">https://arxiv.org/abs/2403.17431v1</a>","allTopics":["llm","model-editing","knowledge-editing"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":9,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-27T05:52:48.098Z"}},{"type":"Public","name":"MatPlotAgent","owner":"thunlp","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":35,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-18T09:24:10.466Z"}},{"type":"Public","name":"UltraChat","owner":"thunlp","isFork":false,"description":"Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)","allTopics":["deep-learning","chatbot","large-language-models","chatgpt"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":20,"starsCount":2131,"forksCount":112,"license":"MIT License","participation":[0,0,0,6,4,0,1,1,0,1,1,0,0,0,0,0,3,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-13T02:49:52.211Z"}},{"type":"Public","name":"Ouroboros","owner":"thunlp","isFork":false,"description":"Ouroboros: Speculative Decoding with Large Model Enhanced Drafting","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":54,"forksCount":8,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11,3,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-23T03:53:33.921Z"}},{"type":"Public","name":"MoEfication","owner":"thunlp","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":91,"forksCount":8,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-22T05:48:09.819Z"}},{"type":"Public","name":"Muffin","owner":"thunlp","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":41,"forksCount":2,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,0,0,0,0,9,2,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-05T14:15:19.696Z"}},{"type":"Public","name":"OpenPrompt","owner":"thunlp","isFork":false,"description":"An Open-Source Framework for Prompt-Learning.","allTopics":["ai","deep-learning","prompt","pytorch","transformer","prompt-toolkit","nlp-library","nlp-machine-learning","prompts","natural-language-understanding","pre-trained-model","pre-trained-language-models","prompt-based-tuning","prompt-learning","nlp","natural-language-processing"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":11,"issueCount":79,"starsCount":4195,"forksCount":433,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-16T13:26:41.531Z"}},{"type":"Public","name":"ERNIE","owner":"thunlp","isFork":false,"description":"Source code and dataset for ACL 2019 paper \"ERNIE: Enhanced Language Representation with Informative Entities\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":1404,"forksCount":271,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-10T11:53:50.244Z"}},{"type":"Public","name":"OpenNE","owner":"thunlp","isFork":false,"description":"An Open-Source Package for Network Embedding (NE)","allTopics":["network-embedding"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":5,"issueCount":5,"starsCount":1679,"forksCount":488,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-10T11:53:25.071Z"}},{"type":"Public","name":"OpenNRE","owner":"thunlp","isFork":false,"description":" An Open-Source Package for Neural Relation Extraction (NRE)","allTopics":["relation-extraction"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":3,"issueCount":14,"starsCount":4265,"forksCount":1056,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-10T11:52:49.648Z"}},{"type":"Public","name":"OpenKE","owner":"thunlp","isFork":false,"description":"An Open-Source Package for Knowledge Embedding (KE)","allTopics":["knowledge-embedding"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":5,"issueCount":24,"starsCount":3734,"forksCount":984,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,15,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-10T11:51:05.769Z"}},{"type":"Public","name":"Moderate-fitting","owner":"thunlp","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":0,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-27T06:12:55.575Z"}},{"type":"Public","name":"RECIPE","owner":"thunlp","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-27T05:45:51.055Z"}},{"type":"Public","name":"GNNPapers","owner":"thunlp","isFork":false,"description":"Must-read papers on graph neural networks (GNN)","allTopics":["paper-list","gnn"],"primaryLanguage":null,"pullRequestCount":5,"issueCount":8,"starsCount":15629,"forksCount":2978,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-20T03:33:14.872Z"}},{"type":"Public","name":"UnifiedInstructionTuning","owner":"thunlp","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-15T08:31:12.099Z"}},{"type":"Public","name":"EmbodiedAIxLLMPapers","owner":"thunlp","isFork":false,"description":"Papers on integrating large language models with embodied AI","allTopics":["embodied","embodied-ai","large-language-models","llm","fundation-models"],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":11,"forksCount":2,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-11T12:55:43.995Z"}},{"type":"Public","name":"WebCPM","owner":"thunlp","isFork":false,"description":"Official codes for ACL 2023 paper \"WebCPM: Interactive Web Search for Chinese Long-form Question Answering\"","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":2,"starsCount":956,"forksCount":80,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-25T06:13:41.331Z"}},{"type":"Public","name":"DeepTHULAC","owner":"thunlp","isFork":false,"description":"A High-Performance Lexical Analyzer for Chinese","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":18,"forksCount":2,"license":"MIT License","participation":[0,0,2,0,1,0,0,0,0,0,0,0,0,2,0,0,1,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-16T10:28:53.722Z"}}],"repositoryCount":218,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}