Feng Nan

According to our database1, Feng Nan authored at least 36 papers between 2008 and 2024.

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Bibliography

2024
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities.
CoRR, 2024

Apple Intelligence Foundation Language Models.
CoRR, 2024

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.
CoRR, 2024

2023
Validation and Evaluation of GRACE-FO Estimates with In Situ Bottom Pressure Array Measurements in the South China Sea.
Remote. Sens., 2023

SWING: Balancing Coverage and Faithfulness for Dialogue Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

ContraCLM: Contrastive Learning For Causal Language Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
ContraGen: Effective Contrastive Learning For Causal Language Model.
CoRR, 2022

Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints.
CoRR, 2021

Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes.
CoRR, 2021

Supporting Clustering with Contrastive Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Entity-level Factual Consistency of Abstractive Text Summarization.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Improving Factual Consistency of Abstractive Summarization via Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
CoRR, 2020

Application of Improved BP Algorithm in Prediction of Axial Tension Performance and Crack Width Control Ability of UHPC.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Back Analysis of Concrete Temperature Field and Simulation of Temperature Control Measures Based on Simulated Annealing Algorithm.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Unsupervised Domain Adaptation for Cross-lingual Text Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Topic Modeling with Wasserstein Autoencoders.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Real-Time Monitoring of Smart Campus and Construction of Weibo Public Opinion Platform.
IEEE Access, 2018

2017
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, 2017

Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget.
CoRR, 2017

Comments on the proof of adaptive submodular function minimization.
CoRR, 2017

Dynamic Model Selection for Prediction Under a Budget.
CoRR, 2017

Adaptive Classification for Prediction Under a Budget.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Optimally Pruning Decision Tree Ensembles With Feature Cost.
CoRR, 2016

Pruning Random Forests for Prediction on a Budget.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Max-Cost Discrete Function Evaluation Problem under a Budget.
CoRR, 2015

Feature-Budgeted Random Forest.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Fast margin-based cost-sensitive classification.
Proceedings of the IEEE International Conference on Acoustics, 2014

A Subspace Semi-Definite programming-based Underestimation (SSDU) method for stochastic global optimization in protein docking.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2008
Particle filter for target tracking in multi-modality wireless sensor networks.
Proceedings of the IEEE International Conference on Systems, 2008


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