Feng Nan

49 papers A* 3A 1B 4Misc 1Journal 26Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Authentic news detection technology based on artificial intelligence technology.
Discov. Artif. Intell.
Hui Wang, Feng Nan
2025 — conf
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.
NAACL (Findings)
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
2025 J jnl
SO-Bench: A Structural Output Evaluation of Multimodal LLMs.
CoRR
Di Feng, Kaixin Ma, Feng Nan, Haofeng Chen, Bohan Zhai, David Griffiths, Mingfei Gao, Zhe Gan, Eshan Verma, Yinfei Yang, Zhifeng Chen, Afshin Dehghan
2025 — conf
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities.
NAACL (Findings)
Jiarui Lu, Thomas Holleis, Yizhe Zhang, Bernhard Aumayer, Feng Nan, Haoping Bai, Shuang Ma, Shen Ma, Mengyu Li, Guoli Yin, Zirui Wang, Ruoming Pang
2024 J jnl
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.
CoRR
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
2024 J jnl
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities.
CoRR
Jiarui Lu, Thomas Holleis, Yizhe Zhang, Bernhard Aumayer, Feng Nan, Felix Bai, Shuang Ma, Shen Ma, Mengyu Li, Guoli Yin, Zirui Wang, Ruoming Pang
2023 — conf
ContraCLM: Contrastive Learning For Causal Language Model.
ACL (1)
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
2023 — conf
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization.
EACL (Findings)
Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
2023 — conf
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization.
EACL (Findings)
Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown
2023 J jnl
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization.
CoRR
Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown
2023 J jnl
Validation and Evaluation of GRACE-FO Estimates with In Situ Bottom Pressure Array Measurements in the South China Sea.
Remote. Sens.
Xuecheng Wang, Hua Zheng, Xiao-Hua Zhu, Ruixiang Zhao, Min Wang, Juntian Chen, Yunlong Ma, Feng Nan, Fei Yu
2022 J jnl
ContraGen: Effective Contrastive Learning For Causal Language Model.
CoRR
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
2022 A* conf
Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering.
AAAI
Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang
2022 B conf
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation.
COLING
Fei-Tzin Lee, Miguel Ballesteros, Feng Nan, Kathleen R. McKeown
2021 J jnl
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints.
CoRR
Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
2021 — conf
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction.
ACL/IJCNLP (1)
Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021 A conf
Entity-level Factual Consistency of Abstractive Text Summarization.
EACL
Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang
2021 J jnl
Entity-level Factual Consistency of Abstractive Text Summarization.
CoRR
Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen R. McKeown, Bing Xiang
2021 — conf
Improving Factual Consistency of Abstractive Summarization via Question Answering.
ACL/IJCNLP (1)
Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang
2021 J jnl
Improving Factual Consistency of Abstractive Summarization via Question Answering.
CoRR
Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang
2021 — conf
Supporting Clustering with Contrastive Learning.
NAACL-HLT
Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021 J jnl
Supporting Clustering with Contrastive Learning.
CoRR
Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021 J jnl
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes.
CoRR
Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas W. Oard, Parminder Bhatia
2020 J jnl
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction.
CoRR
Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2020 B conf
Application of Improved BP Algorithm in Prediction of Axial Tension Performance and Crack Width Control Ability of UHPC.
IWCMC
Xuxiang Tan, Huadong Sun, Feng Nan
2020 B conf
Back Analysis of Concrete Temperature Field and Simulation of Temperature Control Measures Based on Simulated Annealing Algorithm.
IWCMC
Xuxiang Tan, Huadong Sun, Feng Nan
2020 — conf
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
EMNLP (1)
Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2020 J jnl
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
CoRR
Siamak Shakeri, Cícero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2020 — conf
Unsupervised Domain Adaptation for Cross-lingual Text Labeling.
EMNLP (Findings)
Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang
2020 A* conf
Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer.
AAAI
Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2019 — conf
Topic Modeling with Wasserstein Autoencoders.
ACL (1)
Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang
2019 J jnl
Topic Modeling with Wasserstein Autoencoders.
CoRR
Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang
2019 J jnl
Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer.
CoRR
Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2018 J jnl
Real-Time Monitoring of Smart Campus and Construction of Weibo Public Opinion Platform.
IEEE Access
Feng Nan, Yina Suo, XueYong Jia, Yuying Wu, Shuaijie Shan
2017 — conf
Adaptive Classification for Prediction Under a Budget.
NIPS
Feng Nan, Venkatesh Saligrama
2017 J jnl
Adaptive Classification for Prediction Under a Budget.
CoRR
Feng Nan, Venkatesh Saligrama
2017 J jnl
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
Feng Nan, Venkatesh Saligrama
2017 J jnl
Comments on the proof of adaptive submodular function minimization.
CoRR
Feng Nan, Venkatesh Saligrama
2017 J jnl
Dynamic Model Selection for Prediction Under a Budget.
CoRR
Feng Nan, Venkatesh Saligrama
2017 J jnl
Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget.
CoRR
Henghui Zhu, Feng Nan, Ioannis Ch. Paschalidis, Venkatesh Saligrama
2016 J jnl
Optimally Pruning Decision Tree Ensembles With Feature Cost.
CoRR
Feng Nan, Joseph Wang, Venkatesh Saligrama
2016 — conf
Pruning Random Forests for Prediction on a Budget.
NIPS
Feng Nan, Joseph Wang, Venkatesh Saligrama
2016 J jnl
Pruning Random Forests for Prediction on a Budget.
CoRR
Feng Nan, Joseph Wang, Venkatesh Saligrama
2015 A* conf
Feature-Budgeted Random Forest.
ICML
Feng Nan, Joseph Wang, Venkatesh Saligrama
2015 J jnl
Feature-Budgeted Random Forest.
CoRR
Feng Nan, Joseph Wang, Venkatesh Saligrama
2015 J jnl
Max-Cost Discrete Function Evaluation Problem under a Budget.
CoRR
Feng Nan, Joseph Wang, Venkatesh Saligrama
2014 — conf
A Subspace Semi-Definite programming-based Underestimation (SSDU) method for stochastic global optimization in protein docking.
CDC
Feng Nan, Mohammad Moghadasi, Pirooz Vakili, Sandor Vajda, Dima Kozakov, Ioannis Ch. Paschalidis
2014 Misc conf
Fast margin-based cost-sensitive classification.
ICASSP
Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2008 B conf
Particle filter for target tracking in multi-modality wireless sensor networks.
SMC
Wendong Xiao, Feng Nan, Sen Zhang, Chen-Khong Tham, Marcelo H. Ang, Jit Biswas