Xudong Lin
Xudong Lin has 2 papers in our library, in 2024, most of them on Language models & pretraining, Information retrieval & search, Vision & language; often with Anthony Chen, Dan Roth, Devendra Sachan.
OpenAlex · ORCID · h-index 34 · 156 works · 3,409 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 307 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #5902
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 1 workInformation retrieval & search · 1 work
Works by year
2020s
Papers
- BLINK: Multimodal Large Language Models Can See but Not Perceive (2024 · 206 citations)
Popular multimodal benchmarks such as MMBench mostly test object recognition and language-side knowledge. They say little about whether models actually perceive visual structure. The authors present Blink, a benchmark built from 14 classic computer vision problems, including relative depth, visual and semantic… - Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? (2024 · 53 citations)
Long-context language models (LCLMs) can now read inputs of up to a million tokens. This raises the question of whether they could replace separate tools such as retrievers, RAG pipelines and SQL engines. Existing long-context tests are either synthetic, like needle-in-a-haystack, or fixed in length, so they cannot…
All works
- BLINK: Multimodal Large Language Models Can See but Not PerceiveLecture notes in computer scienceXingyu Fu, Yushi Hu, Bangzheng Li, et al.2024 · 206 citations
- All in One: Exploring Unified Video-Language Pre-Training ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJinpeng Wang et al.2023 · 180 citations
- RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations · no summary yetHaoyang Wen et al.2021 · 83 citations
- Object-aware Video-language Pre-training for Retrieval ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAlex Jinpeng Wang et al.2022 · 73 citations
- VX2TEXT: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXudong Lin et al.2021 · 64 citations
- Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?arXiv:2406.13121Jinhyuk Lee, Anthony Chen, Zhuyun Dai, et al.2024 · 53 citations
- RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations · no summary yetXinya Du et al.2022 · 38 citations
- MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetRevanth Gangi Reddy et al.2022 · 32 citations
- Non-Sequential Graph Script Induction via Multimedia Grounding ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYu Zhou et al.2023 · 12 citations
- Training-free Deep Concept Injection Enables Language Models for Video Question Answering ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetXudong Lin et al.2024 · 2 citations
Co-authors here
- Anthony Chen
- Dan Roth
- Devendra Sachan
- Dheeru Dua
- Haoyu Wang
- Hexiang Hu
- Jinhyuk Lee
- Michael Boratko
- Noah A. Smith
- Ranjay Krishna
- Siddharth Dalmia
- Vincent Perot
Venues
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×3
- Lecture notes in computer science: Lecture notes in computer science 2024
- Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations
- Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Proceedings of the AAAI Conference on Artificial Intelligence
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