Simon Baumgartner

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Financial Markets

Structured Document Retrieval

Top Venues

WWW (Companion Volume)

Publications

Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky
Multilingual Fine-Grained News Headline Hallucination Detection. CoRR (2024)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. CoRR (2024)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. ACL (Findings) (2024)
Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky
Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. CoRR (2024)
Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang
LiPO: Listwise Preference Optimization through Learning-to-Rank. CoRR (2024)
Vasilisa Bashlovkina, Zhaobin Kuang, Riley Matthews, Edward Clifford, Yennie Jun, William W. Cohen, Simon Baumgartner
Trusted Source Alignment in Large Language Models. CoRR (2023)
Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. CoRR (2023)
Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky
LLMs to the Moon? Reddit Market Sentiment Analysis with Large Language Models. WWW (Companion Volume) (2023)
Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. KDD (2023)
Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis. WWW (Companion Volume) (2023)
Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. ICLR (2022)
Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis. CoRR (2022)
Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. CoRR (2021)
Anjalie Field, Sascha Rothe, Simon Baumgartner, Cong Yu, Abe Ittycheriah
A Generative Approach to Titling and Clustering Wikipedia Sections. CoRR (2020)
Shan Jiang, Simon Baumgartner, Abe Ittycheriah, Cong Yu
Factoring Fact-Checks: Structured Information Extraction from Fact-Checking Articles. WWW (2020)
Anjalie Field, Sascha Rothe, Simon Baumgartner, Cong Yu, Abe Ittycheriah
A Generative Approach to Titling and Clustering Wikipedia Sections. NGT@ACL (2020)
Xuezhi Wang, Cong Yu, Simon Baumgartner, Flip Korn
Relevant Document Discovery for Fact-Checking Articles. WWW (Companion Volume) (2018)