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2020 – today
- 2024
[c9]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: 15623-15636- [c8]Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky:
Multilingual Fine-Grained News Headline Hallucination Detection. EMNLP (Findings) 2024: 7862-7875 - [i9]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 abs/2402.01878 (2024) - [i8]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 abs/2406.02886 (2024) - [i7]Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky:
Multilingual Fine-Grained News Headline Hallucination Detection. CoRR abs/2407.15975 (2024) - [i6]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 abs/2407.16008 (2024) - 2023
- [c7]Vasilisa Bashlovkina
, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky:
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. KDD 2023: 3737-3749 - [c6]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: 107-110 - [c5]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: 1014-1019 - [i5]Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky:
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. CoRR abs/2307.00135 (2023) - [i4]Vasilisa Bashlovkina, Zhaobin Kuang, Riley Matthews, Edward Clifford, Yennie Jun, William W. Cohen, Simon Baumgartner:
Trusted Source Alignment in Large Language Models. CoRR abs/2311.06697 (2023) - 2022
- [c4]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 - [i3]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 abs/2212.11311 (2022) - 2021
- [i2]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 abs/2106.12672 (2021) - 2020
- [c3]Anjalie Field, Sascha Rothe, Simon Baumgartner, Cong Yu, Abe Ittycheriah:
A Generative Approach to Titling and Clustering Wikipedia Sections. NGT@ACL 2020: 79-87 - [c2]Shan Jiang, Simon Baumgartner, Abe Ittycheriah, Cong Yu:
Factoring Fact-Checks: Structured Information Extraction from Fact-Checking Articles. WWW 2020: 1592-1603 - [i1]Anjalie Field, Sascha Rothe, Simon Baumgartner, Cong Yu, Abe Ittycheriah:
A Generative Approach to Titling and Clustering Wikipedia Sections. CoRR abs/2005.11216 (2020)
2010 – 2019
- 2018
- [c1]Xuezhi Wang, Cong Yu, Simon Baumgartner, Flip Korn:
Relevant Document Discovery for Fact-Checking Articles. WWW (Companion Volume) 2018: 525-533
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