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2020 – today
- 2024
[j6]Xabi Azagirre, Akshay Balwally, Guillaume Candeli, Nicholas Chamandy, Benjamin Han, Alona King, Hyungjun Lee, Martin Loncaric, Sébastien Martin
, Vijay Narasiman, Zhiwei (Tony) Qin, Baptiste Richard, Sara Smoot, Sean Taylor, Garrett J. van Ryzin, Di Wu, Fei Yu, Alex Zamoshchin:
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft. INFORMS J. Appl. Anal. 54(1): 71-83 (2024)- [c14]Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li:
Time Sensitive Knowledge Editing through Efficient Finetuning. ACL (Short Papers) 2024: 583-593 - [c13]Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Joshua M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly:
Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. LREC/COLING 2024: 3782-3803 - [c12]Yifu Qiu, Varun Embar, Shay B. Cohen, Benjamin Han:
Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation. NAACL-HLT (Findings) 2024: 1628-1644 - [i9]Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li:
Time Sensitive Knowledge Editing through Efficient Finetuning. CoRR abs/2406.04496 (2024) - 2023
- [c11]Farima Fatahi Bayat, Kun Qian, Benjamin Han, Yisi Sang, Anton Belyi, Samira Khorshidi, Fei Wu, Ihab F. Ilyas, Yunyao Li:
FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge. EMNLP (Demos) 2023: 124-130 - [i8]Lesly Miculicich, Benjamin Han:
Document Summarization with Text Segmentation. CoRR abs/2301.08817 (2023) - [i7]Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Josh M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly:
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. CoRR abs/2309.11669 (2023) - [i6]Xabi Azagirre, Akshay Balwally, Guillaume Candeli, Nicholas Chamandy, Benjamin Han, Alona King, Hyungjun Lee, Martin Loncaric, Sébastien Martin, Vijay Narasiman, Zhiwei (Tony) Qin, Baptiste Richard, Sara Smoot, Sean Taylor, Garrett J. van Ryzin, Di Wu, Fei Yu, Alex Zamoshchin:
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft. CoRR abs/2310.13810 (2023) - [i5]Farima Fatahi Bayat, Kun Qian, Benjamin Han, Yisi Sang, Anton Belyi, Samira Khorshidi, Fei Wu, Ihab F. Ilyas, Yunyao Li:
FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge. CoRR abs/2310.17119 (2023) - [i4]Yifu Qiu, Varun Embar, Shay B. Cohen, Benjamin Han:
Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation. CoRR abs/2311.09467 (2023) - 2022
- [c10]Benjamin Han, Hyungjun Lee, Sébastien Martin:
Real-Time Rideshare Driver Supply Values Using Online Reinforcement Learning. KDD 2022: 2968-2976 - [c9]Ani Nenkova, Douglas Burdick, Benjamin Han, Dave Lewis, Sandeep Tata, Dan Tecuci:
DI-2022: The Third Document Intelligence Workshop. KDD 2022: 4890-4891 - 2021
- [c8]Benjamin Han, Carl Arndt:
Budget Allocation as a Multi-Agent System of Contextual & Continuous Bandits. KDD 2021: 2937-2945 - [c7]Benjamin Han, Douglas Burdick, Dave Lewis, Yijuan Lu, Hamid Motahari, Sandeep Tata:
DI-2021: The Second Document Intelligence Workshop. KDD 2021: 4127-4128 - [i3]Amit Gupte, Alexey Romanov, Sahitya Mantravadi, Dalitso Banda, Jianjie Liu, Raza Khan, Lakshmanan Ramu Meenal, Benjamin Han, Soundar Srinivasan:
Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents. CoRR abs/2108.02899 (2021) - [i2]Samyadeep Basu, Karine lp Kiun Chong, Amr Sharaf, Alex Fischer, Vishal Rohra, Michael Amoake, Hazem El-Hammamy, Ehi Nosakhare, Vijay Ramani, Benjamin Han:
Semi-Supervised Few-Shot Intent Classification and Slot Filling. CoRR abs/2109.08754 (2021)
2000 – 2009
- 2006
- [c6]Benjamin Han, Donna Gates, Lori S. Levin:
Understanding Temporal Expressions in Emails. HLT-NAACL 2006 - [c5]Benjamin Han, Donna Gates, Lori S. Levin:
From Language to Time: A Temporal Expression Anchorer. TIME 2006: 196-203 - 2005
- [i1]Benjamin Han, Donna Gates, Lori S. Levin:
Anchoring Temporal Expressions in Scheduling-related Emails. Annotating, Extracting and Reasoning about Time and Events 2005 - 2004
- [j5]Benjamin Han, Alon Lavie:
A framework for resolution of time in natural language. ACM Trans. Asian Lang. Inf. Process. 3(1): 11-32 (2004) - 2001
- [c4]Alon Lavie, Lori S. Levin, Tanja Schultz, Chad Langley, Benjamin Han, Alicia Tribble, Donna Gates, Dorcas Wallace, Kay Peterson:
Domain Portability in Speech-to-Speech Translation. HLT 2001 - 2000
- [c3]Rohini K. Srihari, Aibing Rao, Benjamin Han, Srikanth Munirathnam, Xiaoyun Wu:
A Model for Multimodal Information Retrieval. IEEE International Conference on Multimedia and Expo (II) 2000: 701-704
1990 – 1999
- 1999
- [j4]Benjamin Han, Shie-Jue Lee, Hsin-Tai Yang:
A Model-Based Diagnosis System for Identifying Faulty Components in Digital Circuits. Appl. Intell. 10(1): 37-52 (1999) - [j3]Benjamin Han, Shie-Jue Lee:
A Genetic Algorithm Approach to Measurement Prescription in Fault Diagnosis. Inf. Sci. 120(1-4): 223-237 (1999) - [j2]Benjamin Han, Shie-Jue Lee, Hsin-Tai Yang:
Comments on the Theory of Measurement in Diagnosis from First Principles. Inf. Sci. 121(3-4): 349-365 (1999) - [j1]Benjamin Han, Shie-Jue Lee:
Deriving minimal conflict sets by CS-trees with mark set in diagnosis from first principles. IEEE Trans. Syst. Man Cybern. Part B 29(2): 281-286 (1999) - [c2]Benjamin Han, Ramya Nagarajan, Rohini K. Srihari, Srikanth Munirathnam:
TREC-8 Experiments at SUNY Buffalo. TREC 1999 - 1995
- [c1]Benjamin Han, Hsin-Tai Yang, Shie-Jue Lee:
A Hybrid Diagnosis System for Digital Circuits. IEA/AIE 1995: 315-324
Coauthor Index
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