Nianlong Gu

According to our database, Nianlong Gu authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Large language models surpass human experts in predicting neuroscience results.

Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love

CoRR, 2024

Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts.

Yingqiang Gao, Nianlong Gu, Jessica Lam, James Henderson, Richard H. R. Hahnloser

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Paper Retrieval, Summarization and Citation Generation.

Nianlong Gu

PhD thesis, 2023

MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question Answering.

Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser

CoRR, 2023

Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information.

Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser

CoRR, 2023

Legal Extractive Summarization of U.S. Court Opinions.

Emmanuel Bauer, Dominik Stammbach, Nianlong Gu, Elliott Ash

Proceedings of the 1st Legal Information Retrieval meets Artificial Intelligence Workshop LIRAI 2023 co-located with the 34th ACM Hypertext Conference HT 2023, 2023

GreedyCAS: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information.

Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation.

Nianlong Gu, Richard H. R. Hahnloser

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Papierabruf, Zusammenfassung und Zitaterzeugung.

Nianlong Gu

Ausgezeichnete Informatikdissertationen, 2022

Controllable Citation Text Generation.

Nianlong Gu, Richard H. R. Hahnloser

CoRR, 2022

Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-Based Reranking.

Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser

Proceedings of the Advances in Information Retrieval, 2022

Do Discourse Indicators Reflect the Main Arguments in Scientific Papers?

Yingqiang Gao, Nianlong Gu, Jessica Lam, Richard H. R. Hahnloser

Proceedings of the 9th Workshop on Argument Mining, 2022

MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes.

Nianlong Gu, Elliott Ash, Richard H. R. Hahnloser

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020

Reverse Variational Autoencoder for Visual Attribute Manipulation and Anomaly Detection.

Lydia Gauerhof, Nianlong Gu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Embedding-based Scientific Literature Discovery in a Text Editor Application.

Onur Gökçe, Jonathan Prada, Nikola I. Nikolov, Nianlong Gu, Richard H. R. Hahnloser

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020