Our team at Tongyi Lab is dedicated to pioneer advancements in AI search technologies.
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Alibaba-NLP는 Tongyi Lab, Alibaba Group의 조직으로, GitHub에서 다양한 오픈 소스 프로젝트를 통해 AI 검색 기술의 발전을 선도하고 있습니다. 주요 언어로는 Python을 사용하며, DeepResearch, ZeroSearch, VRAG와 같은 여러 유명한 리포지토리를 보유하고 있습니다.
Tongyi Deep Research, the Leading Open-source Deep Research Agent
ZeroSearch: Incentivize the Search Capability of LLMs without Searching
Multimodal Retrieval-augmented Generation Framework Built by Tongyi Lab, Alibaba Group.
[EMNLP 2025] ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
Repo for Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction
Repo for NAACL 2025 Paper "Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization"
An Instruction-tuned Large Language Model for E-commerce
qqr is an RL training framework for open-ended agents.
Hierarchy-Aware Global Model for Hierarchical Text Classification
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding
[SIGIR 2022] Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval
Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.
Repo for "MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability"
[ACL-IJCNLP 2021] Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
[ACL 2020] Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
The code for LaRA Benchmark
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code for paper 《RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement》
Code for 'Prototypical Representation Learning for Relation Extraction'.
[EMNLP 2021] MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations
[ICASSP 2022] AISHELL-NER: Named Entity Recognition from Chinese Speech
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
[ACL 2023] MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition
Hybrid List Aware Transformer Reranking
Code for our EMNLP 2020 Paper "AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network"
CDQA: Chinese Dynamic Question Answering Benchmark
Codes for the EMNLP'2020 paper "Predicting Clinical Trial Results by Implicit Evidence Integration".
[ACL-IJCNLP 2021] Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor
A new evaluation paradigm for deep search that identifies specific LLM failure sources, introduces challenging hint-free datasets with holistic evaluation, and offers a strong baseline incorporating memory and verification.
Source code of paper Improving "Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
This is the official repository for the IBKD knowledge distillation method, as described in the paper .
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[EMNLP 2025] Code for "Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference"
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Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs
Implementation of AAAI 21 paper: Nested Named Entity Recognition with Partially Observed TreeCRFs
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[ACL 2022 Findings] Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition
[ACL 2022] Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding
Codes and data for Alibaba's winning systems at the TREC Precision Medicine Track 2020.
Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces
Alibaba-NLP는 AI 검색 기술과 관련된 다양한 오픈 소스 프로젝트를 개발합니다. 주요 리포지토리에는 DeepResearch, ZeroSearch, VRAG 등이 있으며, 이러한 프로젝트는 AI 연구와 개발에 기여하고 있습니다.
Alibaba-NLP는 주로 Python을 사용하여 개발합니다. Python은 AI 및 머신 러닝 분야에서 널리 사용되는 언어로, 다양한 프로젝트를 구현하는 데 적합합니다.
네, Alibaba-NLP의 리포지토리는 모두 공개입니다. 이를 통해 개발자들은 프로젝트에 참여하고, 코드를 검토하며, 협업할 수 있는 기회를 제공합니다.
Tongyi Lab, Alibaba Group을 RepoGuard로 모니터링하고 새로운 공개 저장소가 나타나는 순간 알림을 받으세요.
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