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2020 – today
- 2024
[i22]Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe Zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang:
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. CoRR abs/2407.18961 (2024)- [i21]Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (2024) - [i20]Jiarui Lu, Thomas Holleis, Yizhe Zhang, Bernhard Aumayer, Feng Nan, Felix Bai, Shuang Ma, Shen Ma, Mengyu Li, Guoli Yin, Zirui Wang, Ruoming Pang:
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities. CoRR abs/2408.04682 (2024) - 2023
- [j3]Xuecheng Wang, Hua Zheng
, Xiao-Hua Zhu, Ruixiang Zhao, Min Wang, Juntian Chen, Yunlong Ma, Feng Nan, Fei Yu:
Validation and Evaluation of GRACE-FO Estimates with In Situ Bottom Pressure Array Measurements in the South China Sea. Remote. Sens. 15(11): 2804 (2023) - [c21]Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang:
ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) 2023: 6436-6459 - [c20]Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown:
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. EACL (Findings) 2023: 512-525 - [c19]Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi:
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. EACL (Findings) 2023: 2044-2060 - [i19]Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown:
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. CoRR abs/2301.10483 (2023) - 2022
- [c18]Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang:
Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering. AAAI 2022: 11312-11320 - [c17]Fei-Tzin Lee, Miguel Ballesteros, Feng Nan, Kathleen R. McKeown:
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation. COLING 2022: 5882-5895 - [i18]Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang:
ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR abs/2210.01185 (2022) - 2021
- [c16]Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. ACL/IJCNLP (1) 2021: 3263-3276 - [c15]Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang:
Improving Factual Consistency of Abstractive Summarization via Question Answering. ACL/IJCNLP (1) 2021: 6881-6894 - [c14]Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang:
Entity-level Factual Consistency of Abstractive Text Summarization. EACL 2021: 2727-2733 - [c13]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. NAACL-HLT 2021: 5419-5430 - [i17]Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen R. McKeown, Bing Xiang:
Entity-level Factual Consistency of Abstractive Text Summarization. CoRR abs/2102.09130 (2021) - [i16]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. CoRR abs/2103.12953 (2021) - [i15]Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas W. Oard, Parminder Bhatia:
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes. CoRR abs/2104.13498 (2021) - [i14]Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang:
Improving Factual Consistency of Abstractive Summarization via Question Answering. CoRR abs/2105.04623 (2021) - [i13]Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi:
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints. CoRR abs/2108.02859 (2021) - 2020
- [c12]Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. AAAI 2020: 9741-9748 - [c11]Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang:
Unsupervised Domain Adaptation for Cross-lingual Text Labeling. EMNLP (Findings) 2020: 3527-3536 - [c10]Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. EMNLP (1) 2020: 5445-5460 - [c9]Xuxiang Tan, Huadong Sun, Feng Nan:
Back Analysis of Concrete Temperature Field and Simulation of Temperature Control Measures Based on Simulated Annealing Algorithm. IWCMC 2020: 1422-1426 - [c8]Xuxiang Tan, Huadong Sun, Feng Nan:
Application of Improved BP Algorithm in Prediction of Axial Tension Performance and Crack Width Control Ability of UHPC. IWCMC 2020: 1972-1976 - [i12]Siamak Shakeri, Cícero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. CoRR abs/2010.06028 (2020) - [i11]Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. CoRR abs/2011.13137 (2020)
2010 – 2019
- 2019
- [c7]Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang:
Topic Modeling with Wasserstein Autoencoders. ACL (1) 2019: 6345-6381 - [i10]Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang:
Topic Modeling with Wasserstein Autoencoders. CoRR abs/1907.12374 (2019) - [i9]Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer. CoRR abs/1911.10666 (2019) - 2018
- [j2]Feng Nan, Yina Suo, Xueyong Jia, Yuying Wu, Shuaijie Shan:
Real-Time Monitoring of Smart Campus and Construction of Weibo Public Opinion Platform. IEEE Access 6: 76502-76515 (2018) - 2017
- [j1]Feng Nan, Venkatesh Saligrama:
Comments on the Proof of Adaptive Stochastic Set Cover Based on Adaptive Submodularity and Its Implications for the Group Identification Problem in "Group-Based Active Query Selection for Rapid Diagnosis in Time-Critical Situations". IEEE Trans. Inf. Theory 63(11): 7612-7614 (2017) - [c6]Feng Nan, Venkatesh Saligrama:
Adaptive Classification for Prediction Under a Budget. NIPS 2017: 4727-4737 - [i8]Feng Nan, Venkatesh Saligrama:
Dynamic Model Selection for Prediction Under a Budget. CoRR abs/1704.07505 (2017) - [i7]Feng Nan, Venkatesh Saligrama:
Comments on the proof of adaptive submodular function minimization. CoRR abs/1705.03771 (2017) - [i6]Feng Nan, Venkatesh Saligrama:
Adaptive Classification for Prediction Under a Budget. CoRR abs/1705.10194 (2017) - [i5]Henghui Zhu, Feng Nan, Ioannis Ch. Paschalidis, Venkatesh Saligrama:
Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget. CoRR abs/1705.10924 (2017) - 2016
- [c5]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Pruning Random Forests for Prediction on a Budget. NIPS 2016: 2334-2342 - [i4]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Optimally Pruning Decision Tree Ensembles With Feature Cost. CoRR abs/1601.00955 (2016) - [i3]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Pruning Random Forests for Prediction on a Budget. CoRR abs/1606.05060 (2016) - 2015
- [c4]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Feature-Budgeted Random Forest. ICML 2015: 1983-1991 - [i2]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Max-Cost Discrete Function Evaluation Problem under a Budget. CoRR abs/1501.02702 (2015) - [i1]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Feature-Budgeted Random Forest. CoRR abs/1502.05925 (2015) - 2014
- [c3]Feng Nan, Mohammad Moghadasi, Pirooz Vakili, Sandor Vajda, Dima Kozakov, Ioannis Ch. Paschalidis:
A Subspace Semi-Definite programming-based Underestimation (SSDU) method for stochastic global optimization in protein docking. CDC 2014: 4623-4628 - [c2]Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
Fast margin-based cost-sensitive classification. ICASSP 2014: 2952-2956
2000 – 2009
- 2008
- [c1]Wendong Xiao, Feng Nan, Sen Zhang, Chen-Khong Tham, Marcelo H. Ang, Jit Biswas:
Particle filter for target tracking in multi-modality wireless sensor networks. SMC 2008: 2927-2931
Coauthor Index
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