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ORCIDKevin Yang
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2020 – today
- 2024
[c25]Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian:
Learning Personalized Alignment for Evaluating Open-ended Text Generation. EMNLP 2024: 13274-13292- [c24]Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian:
RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment. ICLR 2024 - [i20]Yizhou Chi, Kevin Yang, Dan Klein:
THOUGHTSCULPT: Reasoning with Intermediate Revision and Search. CoRR abs/2404.05966 (2024) - [i19]Zhiheng Lyu, Kevin Yang, Lingpeng Kong, Daniel Klein:
FACTTRACK: Time-Aware World State Tracking in Story Outlines. CoRR abs/2407.16347 (2024) - 2023
- [j7]Megumi Asada
, Ryan C. Chen, Eva Fourakis, Yujin Hong Kim, Andrew Kwon, Jared Duker Lichtman, Blake Mackall, Steven J. Miller, Eric Winsor, Karl Winsor, Jianing Yang, Kevin Yang:
Lower-Order Biases in the Second Moment of Dirichlet Coefficients in Families of L-Functions. Exp. Math. 32(3): 431-456 (2023) - [c23]Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. ACL (2) 2023: 747-761 - [c22]Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian:
DOC: Improving Long Story Coherence With Detailed Outline Control. ACL (1) 2023: 3378-3465 - [c21]Jonathan Pei, Kevin Yang, Dan Klein:
PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. ACL (Findings) 2023: 10018-10037 - [c20]Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein:
Improving Pacing in Long-Form Story Planning. EMNLP (Findings) 2023: 10788-10845 - [i18]Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. CoRR abs/2306.05392 (2023) - [i17]Jonathan Pei, Kevin Yang, Dan Klein:
PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. CoRR abs/2307.03214 (2023) - [i16]Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian:
RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment. CoRR abs/2307.12950 (2023) - [i15]Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian:
Learning Personalized Story Evaluation. CoRR abs/2310.03304 (2023) - [i14]Hanlin Zhu, Andrew Cohen, Danqing Wang, Kevin Yang, Xiaomeng Yang, Jiantao Jiao, Yuandong Tian:
End-to-end Story Plot Generator. CoRR abs/2310.08796 (2023) - [i13]Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein:
Improving Pacing in Long-Form Story Planning. CoRR abs/2311.04459 (2023) - 2022
- [c19]Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew L. Ginsberg, Dan Klein:
Automated Crossword Solving. ACL (1) 2022: 3073-3085 - [c18]Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Benjamin Van Durme:
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. ACL (Findings) 2022: 3685-3695 - [c17]Kevin Yang, Vinod E. Nambudiri:
Clinical Informatics Educational Requirements in United States ACGME-Accredited Residency Programs. AMIA 2022 - [c16]Derrick X. Liu, Danny Viet Lam, Yingyi Gao, Rachel C. LeBlanc, Alyssa A. Usab, Elizabeth S. Fielding, Charlotte L. Brunkalla, Kevin Yang, Andrew J. Shoffstall:
Characterization of a Temporary Peripheral Nerve Stimulation Electrode Utilizing a Bioabsorbable Suture Substrate. EMBC 2022: 5094-5098 - [c15]Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein:
Re3: Generating Longer Stories With Recursive Reprompting and Revision. EMNLP 2022: 4393-4479 - [c14]Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian:
Multi-objective Optimization by Learning Space Partition. ICLR 2022 - [c13]Mingyang Hu, Fajie Yuan, Kevin Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding:
Exploring evolution-aware & -free protein language models as protein function predictors. NeurIPS 2022 - [i12]Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Benjamin Van Durme:
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. CoRR abs/2205.08675 (2022) - [i11]Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew L. Ginsberg, Dan Klein:
Automated Crossword Solving. CoRR abs/2205.09665 (2022) - [i10]Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein:
Re3: Generating Longer Stories With Recursive Reprompting and Revision. CoRR abs/2210.06774 (2022) - [i9]Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian:
DOC: Improving Long Story Coherence With Detailed Outline Control. CoRR abs/2212.10077 (2022) - 2021
- [j6]Kevin Yang, Vinod E. Nambudiri:
Anticipating Ambulatory Automation: Potential Applications of Administrative and Clinical Automation in Outpatient Healthcare Delivery. Appl. Clin. Inform. 12(5): 1157-1160 (2021) - [j5]Hongzhen Zhou, Shuyuan Wang, Tao Zhang, Demei Liu, Kevin Yang:
Ultrasound image analysis technology under deep belief networks in evaluation on the effects of diagnosis and chemotherapy of cervical cancer. J. Supercomput. 77(4): 4151-4171 (2021) - [c12]Kevin Yang, Dan Klein:
FUDGE: Controlled Text Generation With Future Discriminators. NAACL-HLT 2021: 3511-3535 - [c11]Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian:
Learning Space Partitions for Path Planning. NeurIPS 2021: 378-391 - [c10]Vraj Shah, Jonathan Lacanlale, Premanand Kumar, Kevin Yang, Arun Kumar:
Towards Benchmarking Feature Type Inference for AutoML Platforms. SIGMOD Conference 2021: 1584-1596 - [i8]Kevin Yang, Dan Klein:
FUDGE: Controlled Text Generation With Future Discriminators. CoRR abs/2104.05218 (2021) - [i7]Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian:
Learning Space Partitions for Path Planning. CoRR abs/2106.10544 (2021) - [i6]Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian:
Multi-objective Optimization by Learning Space Partitions. CoRR abs/2110.03173 (2021) - 2020
- [j4]Ruoqian Wang, Yingjie Hu, Zikai Zhou, Kevin Yang:
Tracking Flooding Phase Transitions and Establishing a Passive Hotline With AI-Enabled Social Media Data. IEEE Access 8: 103395-103404 (2020) - [j3]Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley:
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction. J. Chem. Inf. Model. 60(8): 3770-3780 (2020) - [c9]Kevin Yang, Violet Yao, John DeNero, Dan Klein:
A Streaming Approach For Efficient Batched Beam Search. EMNLP (1) 2020: 4526-4535 - [c8]Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola:
Improving Molecular Design by Stochastic Iterative Target Augmentation. ICML 2020: 10716-10726 - [i5]Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola:
Improving Molecular Design by Stochastic Iterative Target Augmentation. CoRR abs/2002.04720 (2020) - [i4]Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley:
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction. CoRR abs/2005.10036 (2020) - [i3]Kevin Yang, Violet Yao, John DeNero, Dan Klein:
A Streaming Approach For Efficient Batched Beam Search. CoRR abs/2010.02164 (2020)
2010 – 2019
- 2019
- [j2]Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay:
Analyzing Learned Molecular Representations for Property Prediction. J. Chem. Inf. Model. 59(8): 3370-3388 (2019) - [j1]Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay:
Correction to Analyzing Learned Molecular Representations for Property Prediction. J. Chem. Inf. Model. 59(12): 5304-5305 (2019) - [c7]Wengong Jin, Kevin Yang, Regina Barzilay, Tommi S. Jaakkola:
Learning Multimodal Graph-to-Graph Translation for Molecule Optimization. ICLR (Poster) 2019 - [c6]Vraj Shah, Side Li, Kevin Yang, Arun Kumar, Lawrence K. Saul:
Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data. SIGMOD Conference 2019: 2001-2004 - [i2]Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay:
Are Learned Molecular Representations Ready For Prime Time? CoRR abs/1904.01561 (2019) - 2018
- [c5]M. Reza Peyghami, Kevin Yang, Shengyuan Chen, Zijiang Yang, Masoud Ataei:
Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization. Canadian AI 2018: 231-238 - [i1]Wengong Jin, Kevin Yang, Regina Barzilay, Tommi S. Jaakkola:
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization. CoRR abs/1812.01070 (2018)
2000 – 2009
- 2009
- [c4]Kevin Yang, Krishna M. Sivalingam:
Routing in SONET/VCAT based optical WDM networks (Invited Paper). BROADNETS 2009: 1-8 - 2008
- [c3]Mark E. Frisse, Janet K. King, Will B. Rice, Lianhong Tang, Jameson P. Porter, Timothy A. Coffman, Michael Assink, Kevin Yang, Monroe Wesley, Rodney L. Holmes, Cynthia S. Gadd, Kevin B. Johnson, Vicki Y. Estrin:
A Regional Health Information Exchange: Architecture and Implementation. AMIA 2008 - [c2]Kevin B. Johnson, Cynthia S. Gadd, Dominik Aronsky, Kevin Yang, Lianhong Tang, Vicki Y. Estrin, Janet K. King, Mark E. Frisse:
The MidSouth eHealth Alliance: Use and Impact in the First Year. AMIA 2008 - 2007
- [c1]Kevin Yang, Jiann-Shiou Yang:
Newspaper Circulation Volume Modeling and Prediction via Time Series Analysis: A Case Study. MSV 2007: 11-17
Coauthor Index
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last updated on 2024-12-16 23:22 CET by the dblp team
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