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Fereshte Khani

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2020 – today

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2024
[c9]
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Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani:
Prompt Engineering a Prompt Engineer. ACL (Findings) 2024: 355-385
2023
[c8]
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Zexue He, Marco Túlio Ribeiro, Fereshte Khani:
Targeted Data Generation: Finding and Fixing Model Weaknesses. ACL (1) 2023: 8506-8520
[c7]
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Fereshte Khani, Marco Túlio Ribeiro:
Collaborative Alignment of NLP Models. NeurIPS 2023
[i12]
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  - journals/corr/abs-2305-12219
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Fereshte Khani, Marco Túlio Ribeiro:
Collaborative Development of NLP models. CoRR abs/2305.12219 (2023)
[i11]
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Zexue He, Marco Túlio Ribeiro, Fereshte Khani:
Targeted Data Generation: Finding and Fixing Model Weaknesses. CoRR abs/2305.17804 (2023)
[i10]
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Qinyuan Ye, Maxamed Axmed, Reid Pryzant, Fereshte Khani:
Prompt Engineering a Prompt Engineer. CoRR abs/2311.05661 (2023)
2022
[c6]
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Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh:
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. NeurIPS 2022
[i9]
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  - journals/corr/abs-2207-01548
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Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani:
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. CoRR abs/2207.01548 (2022)
[i8]
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  - journals/corr/abs-2210-00055
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Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh:
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. CoRR abs/2210.00055 (2022)
2021
[b1]
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Fereshte Khani:
Causes, measurement, and mitigation of loss discrepancy. Stanford University, USA, 2021
[c5]
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Fereshte Khani, Percy Liang:
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately. FAccT 2021: 196-205
[c4]
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Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang:
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. ICLR 2021
[i7]
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  - journals/corr/abs-2108-07258
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Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021)
2020
[c3]
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Fereshte Khani, Percy Liang:
Feature Noise Induces Loss Discrepancy Across Groups. ICML 2020: 5209-5219
[i6]
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  - journals/corr/abs-2012-04104
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Fereshte Khani, Percy Liang:
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately. CoRR abs/2012.04104 (2020)
[i5]
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Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang:
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. CoRR abs/2012.04550 (2020)

2010 – 2019

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2019
[i4]
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  - journals/corr/abs-1906-03518
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Fereshte Khani, Aditi Raghunathan, Percy Liang:
Maximum Weighted Loss Discrepancy. CoRR abs/1906.03518 (2019)
[i3]
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  - journals/corr/abs-1911-09876
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Fereshte Khani, Percy Liang:
Noise Induces Loss Discrepancy Across Groups for Linear Regression. CoRR abs/1911.09876 (2019)
2018
[j1]
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Fereshte Khani, Noah D. Goodman, Percy Liang:
Planning, Inference, and Pragmatics in Sequential Language Games. Trans. Assoc. Comput. Linguistics 6: 543-555 (2018)
[i2]
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  - journals/corr/abs-1805-11774
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Fereshte Khani, Noah D. Goodman, Percy Liang:
Planning, Inference and Pragmatics in Sequential Language Games. CoRR abs/1805.11774 (2018)
2016
[c2]
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Fereshte Khani, Martin C. Rinard, Percy Liang:
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings. ACL (1) 2016
[i1]
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Fereshte Khani, Martin C. Rinard, Percy Liang:
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings. CoRR abs/1606.06368 (2016)
2013
[c1]
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  - conf/sac/KhaniHAB13
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Fereshte Khani, Mohammad Javad Hosseini, Ahmad Ali Abin, Hamid Beigy:
An algorithm for discovering clusters of different densities or shapes in noisy data sets. SAC 2013: 144-149

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