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2020 – today
- 2023
[i10]Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren:
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales. CoRR abs/2305.07095 (2023)- 2022
- [c8]Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz:
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. ACL (Findings) 2022: 1972-1983 - [c7]Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren:
ER-Test: Evaluating Explanation Regularization Methods for Language Models. EMNLP (Findings) 2022: 3315-3336 - [c6]Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz:
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. ICML 2022: 2867-2889 - [c5]Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie:
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning. NeurIPS 2022 - [i9]Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré:
BARACK: Partially Supervised Group Robustness With Guarantees. CoRR abs/2201.00072 (2022) - [i8]Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz:
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. CoRR abs/2204.05990 (2022) - [i7]Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren:
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models. CoRR abs/2205.12542 (2022) - [i6]Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren:
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. CoRR abs/2207.00779 (2022) - [i5]Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie:
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning. CoRR abs/2210.05883 (2022) - [i4]Nan Wang, Shaoliang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang:
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. CoRR abs/2210.15500 (2022) - 2021
- [j1]Christopher G. Healey
, Gowtham Dinakaran, Kalpesh Padia, Shaoliang Nie, J. Riley Benson, Dave Caira, Dean Shaw, Gary Catalfu, Ravi Devarajan:
Visual Analytics of Text Conversation Sentiment and Semantics. Comput. Graph. Forum 40(6): 484-499 (2021) - [c4]Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz:
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding. EMNLP (Findings) 2021: 3557-3569 - [i3]Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz:
Modality-specific Distillation. CoRR abs/2101.01881 (2021) - [i2]Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz:
UniREx: A Unified Learning Framework for Language Model Rationale Extraction. CoRR abs/2112.08802 (2021)
2010 – 2019
- 2019
- [c3]Xiuyan Ni, Yang Yu, Peng Wu, Youlin Li, Shaoliang Nie, Qichao Que, Chao Chen:
Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm. CIKM 2019: 2085-2088 - [c2]Shaoliang Nie, Christopher G. Healey, Rada Y. Chirkova, Juan L. Reutter:
Rapid Sequence Matching for Visualization Recommender Systems. Graphics Interface 2019: 5:1-5:8 - 2018
- [c1]Shaoliang Nie, Christopher G. Healey, Kalpesh Padia, Samuel P. Leeman-Munk, Jordan Benson, Dave Caira, Saratendu Sethi, Ravi Devarajan:
Visualizing Deep Neural Networks for Text Analytics. PacificVis 2018: 180-189 - [i1]Zeyuan Chen, Shaoliang Nie, Tianfu Wu, Christopher G. Healey:
High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks. CoRR abs/1801.07632 (2018)
Coauthor Index
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last updated on 2023-05-18 23:07 CEST by the dblp team
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