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- title: OpenMatch | ||
subtitle: | ||
subtitle: SIGIR 2023 | ||
image: images/projects/openmatch.png | ||
link: https://github.com/OpenMatch/OpenMatch | ||
description: An Open-Source Package for Information Retrieval | ||
repo: OpenMatch/OpenMatch | ||
group: SIGIR | ||
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||
- title: ActiveRAG | ||
subtitle: | ||
image: images/projects/activerag.png | ||
link: https://github.com/OpenMatch/ActiveRAG | ||
description: This is the code repo for our paper "Revealing the Treasures of Knowledge via Active Learning". | ||
description: Revealing the Treasures of Knowledge via Active Learning | ||
repo: OpenMatch/NeuScraper | ||
|
||
- title: MARVEL | ||
subtitle: ACL 2024 | ||
subtitle: ACL 2024 (<span style="color:red">oral</span>) | ||
image: images/projects/marvel.png | ||
link: https://github.com/OpenMatch/MARVEL | ||
description: 'This is the code repo for our ACL’24 paper "MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin".' | ||
description: 'MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin' | ||
repo: OpenMatch/MARVEL | ||
group: featured | ||
group: ACL | ||
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||
- title: NeuScraper | ||
subtitle: ACL 2024 | ||
subtitle: ACL 2024 (<span style="color:red">oral</span>) | ||
image: images/projects/neuscraper.png | ||
link: https://github.com/OpenMatch/NeuScraper | ||
description: This is the code repo for our ACL’24 paper "Cleaner Pretraining Corpus Curation with Neural Web Scraping". | ||
description: Cleaner Pretraining Corpus Curation with Neural Web Scraping | ||
repo: OpenMatch/NeuScraper | ||
group: featured | ||
group: ACL | ||
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||
- title: INTERVENOR | ||
subtitle: ACL 2024 | ||
image: images/projects/intervenor.png | ||
link: https://github.com/NEUIR/INTERVENOR | ||
description: 'INTERVENOR: Prompt the Coding Ability of Large Language Models with the Interactive Chain of Repairing' | ||
repo: NEUIR/INTERVENOR | ||
group: ACL | ||
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||
- title: P3Ranker | ||
subtitle: SIGIR 2022 | ||
image: images/projects/p3ranker.png | ||
link: https://github.com/NEUIR/P3Ranker | ||
description: 'P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning' | ||
repo: NEUIR/P3Ranker | ||
group: SIGIR | ||
|
||
- title: ConAE | ||
subtitle: EMNLP 2022 | ||
image: images/projects/conae.png | ||
link: https://github.com/NEUIR/ConAE | ||
description: Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder | ||
repo: NEUIR/ConAE | ||
group: EMNLP | ||
|
||
- title: Self-Guide | ||
subtitle: CCL 2024 | ||
image: images/projects/selfguide.png | ||
link: https://github.com/NEUIR/Self-Guide | ||
description: 'Self-Guide: A LLM Reasoning Enhancement Method Based on Self-Guided Planning' | ||
repo: NEUIR/Self-Guide | ||
group: CCL | ||
|
||
- title: CO-GAT | ||
subtitle: TBD 2024 | ||
image: images/projects/cogat.png | ||
link: https://github.com/NEUIR/CO-GAT | ||
description: Multi-Evidence based Fact Verification via A Confidential Graph Neural Network | ||
repo: NEUIR/CO-GAT | ||
group: TBD | ||
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||
- title: DebugEval | ||
subtitle: | ||
image: images/projects/debugeval.png | ||
link: https://github.com/NEUIR/DebugEval | ||
description: Enhancing the Code Debugging Ability of LLMs via Communicative Agent Based Data Refinement | ||
repo: NEUIR/DebugEval | ||
|
||
- title: UniVL-DR | ||
subtitle: ICLR 2023 | ||
image: images/projects/univldr.png | ||
link: https://github.com/OpenMatch/UniVL-DR | ||
description: 'Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval' | ||
repo: OpenMatch/UniVL-DR | ||
group: ICLR | ||
|
||
- title: SANTA | ||
subtitle: ACL 2023 | ||
image: images/projects/santa.png | ||
link: https://github.com/OpenMatch/SANTA | ||
description: Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data | ||
repo: OpenMatch/SANTA | ||
group: ACL | ||
|
||
- title: TASTE | ||
subtitle: CIKM 2023 | ||
image: images/projects/taste.png | ||
link: https://github.com/OpenMatch/TASTE | ||
description: Text Matching Improves Sequential Recommendation by Reducing Popularity Biases | ||
repo: OpenMatch/TASTE | ||
group: CIKM | ||
|
||
- title: FiT5 | ||
subtitle: COLING 2024 | ||
image: images/projects/fit5.png | ||
link: https://github.com/OpenMatch/FiT5 | ||
description: 'Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion' | ||
repo: OpenMatch/FiT5 | ||
group: COLING | ||
|
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