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2020 – today
- 2024
[c50]Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa:
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. ACL (1) 2024: 749-775- [c49]Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao:
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. NAACL-HLT 2024: 1927-1937 - [c48]Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma:
Effective Long-Context Scaling of Foundation Models. NAACL-HLT 2024: 4643-4663 - [i34]Tengyu Xu, Eryk Helenowski, Karthik Abinav Sankararaman, Di Jin, Kaiyan Peng, Eric Han, Shaoliang Nie, Chen Zhu, Hejia Zhang, Wenxuan Zhou, Zhouhao Zeng, Yun He, Karishma Mandyam, Arya Talabzadeh, Madian Khabsa, Gabriel Cohen, Yuandong Tian, Hao Ma, Sinong Wang, Han Fang:
The Perfect Blend: Redefining RLHF with Mixture of Judges. CoRR abs/2409.20370 (2024) - [i33]Chaoqi Wang, Zhuokai Zhao, Chen Zhu, Karthik Abinav Sankararaman, Michal Valko, Xuefei Cao, Zhaorun Chen, Madian Khabsa, Yuxin Chen, Hao Ma, Sinong Wang:
Preference Optimization with Multi-Sample Comparisons. CoRR abs/2410.12138 (2024) - 2023
- [c47]Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias:
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. AAAI 2023: 9837-9845 - [c46]Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu:
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) 2023: 2405-2420 - [c45]Anastasia Razdaibiedina, Yuning Mao, Madian Khabsa, Mike Lewis, Rui Hou, Jimmy Ba, Amjad Almahairi:
Residual Prompt Tuning: improving prompt tuning with residual reparameterization. ACL (Findings) 2023: 6740-6757 - [c44]Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung, Yi-Chia Wang:
Generating Hashtags for Short-form Videos with Guided Signals. ACL (1) 2023: 9482-9495 - [c43]Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu:
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) 2023: 9978-9991 - [c42]Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa:
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) 2023: 3412-3444 - [c41]Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa:
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. EMNLP 2023: 13142-13152 - [c40]Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi:
Progressive Prompts: Continual Learning for Language Models. ICLR 2023 - [i32]Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa:
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. CoRR abs/2301.10472 (2023) - [i31]Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi:
Progressive Prompts: Continual Learning for Language Models. CoRR abs/2301.12314 (2023) - [i30]Chenbin Pan, Rui Hou, Hanchao Yu, Qifan Wang, Senem Velipasalar, Madian Khabsa:
SVT: Supertoken Video Transformer for Efficient Video Understanding. CoRR abs/2304.00325 (2023) - [i29]Yuchen Liu, Natasha Ong, Kaiyan Peng, Bo Xiong, Qifan Wang, Rui Hou, Madian Khabsa, Kaiyue Yang, David Liu, Donald S. Williamson, Hanchao Yu:
MMViT: Multiscale Multiview Vision Transformers. CoRR abs/2305.00104 (2023) - [i28]Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Jimmy Ba, Amjad Almahairi:
Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization. CoRR abs/2305.03937 (2023) - [i27]Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - [i26]Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa:
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. CoRR abs/2308.16884 (2023) - [i25]Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma:
Effective Long-Context Scaling of Foundation Models. CoRR abs/2309.16039 (2023) - [i24]Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu:
On the Equivalence of Graph Convolution and Mixup. CoRR abs/2310.00183 (2023) - [i23]Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao:
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. CoRR abs/2311.07689 (2023) - [i22]Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa:
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. CoRR abs/2312.04032 (2023) - [i21]Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, Madian Khabsa:
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations. CoRR abs/2312.06674 (2023) - 2022
- [c39]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. ACL (1) 2022: 6253-6264 - [c38]Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma:
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. EMNLP (Findings) 2022: 263-276 - [c37]Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech:
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. NAACL-HLT 2022: 2361-2375 - [c36]Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas:
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. NAACL-HLT 2022: 4696-4715 - [i20]Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias:
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. CoRR abs/2205.12469 (2022) - [i19]Siddharth Verma, Yuchen Lu, Rui Hou, Hanchao Yu, Nicolas Ballas, Madian Khabsa, Amjad Almahairi:
Uniform Masking Prevails in Vision-Language Pretraining. CoRR abs/2212.05195 (2022) - 2021
- [c35]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
On the Influence of Masking Policies in Intermediate Pre-training. EMNLP (1) 2021: 7190-7202 - [c34]Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa:
On Unifying Misinformation Detection. NAACL-HLT 2021: 5479-5485 - [i18]Nayeon Lee, Yejin Bang, Andrea Madotto, Madian Khabsa, Pascale Fung:
Towards Few-Shot Fact-Checking via Perplexity. CoRR abs/2103.09535 (2021) - [i17]Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa:
On Unifying Misinformation Detection. CoRR abs/2104.05243 (2021) - [i16]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
On the Influence of Masking Policies in Intermediate Pre-training. CoRR abs/2104.08840 (2021) - [i15]Sinong Wang, Han Fang, Madian Khabsa, Hanzi Mao, Hao Ma:
Entailment as Few-Shot Learner. CoRR abs/2104.14690 (2021) - [i14]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. CoRR abs/2110.07577 (2021) - [i13]Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech:
Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. CoRR abs/2110.08536 (2021) - [i12]Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas:
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. CoRR abs/2112.03204 (2021) - [i11]Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz:
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR abs/2112.13884 (2021) - 2020
- [c33]Sinong Wang, Madian Khabsa, Hao Ma:
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks. ACL 2020: 2209-2213 - [i10]Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa:
Language Models as Fact Checkers? CoRR abs/2006.04102 (2020) - [i9]Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, Hao Ma:
Linformer: Self-Attention with Linear Complexity. CoRR abs/2006.04768 (2020) - [i8]Sinong Wang, Madian Khabsa, Hao Ma:
To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks. CoRR abs/2006.08671 (2020) - [i7]Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma:
CLEAR: Contrastive Learning for Sentence Representation. CoRR abs/2012.15466 (2020) - [i6]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
Studying Strategically: Learning to Mask for Closed-book QA. CoRR abs/2012.15856 (2020)
2010 – 2019
- 2019
- [c32]Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles
:
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching. AAAI 2019: 395-402 - [c31]Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko:
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder. ACL (1) 2019: 4157-4167 - [i5]Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko:
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism. CoRR abs/1906.05275 (2019) - 2018
- [c30]Xiao Yang, Ahmed Hassan Awadallah, Madian Khabsa, Wei Wang, Miaosen Wang:
Characterizing and Supporting Question Answering in Human-to-Human Communication. SIGIR 2018: 345-354 - [c29]Madian Khabsa, Ahmed El Kholy, Ahmed Hassan Awadallah, Imed Zitouni, Milad Shokouhi:
Identifying Task Boundaries in Digital Assistants. WWW (Companion Volume) 2018: 107-108 - [i4]Xiao Yang, Miaosen Wang, Wei Wang, Madian Khabsa, Ahmed Hassan Awadallah:
Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching. CoRR abs/1804.08058 (2018) - 2017
- [c28]Yu Su, Ahmed Hassan Awadallah, Madian Khabsa, Patrick Pantel, Michael Gamon, Mark J. Encarnación:
Building Natural Language Interfaces to Web APIs. CIKM 2017: 177-186 - [c27]Rishabh Mehrotra, Ahmed Hassan Awadallah, Milad Shokouhi, Emine Yilmaz, Imed Zitouni, Ahmed El Kholy, Madian Khabsa:
Deep Sequential Models for Task Satisfaction Prediction. CIKM 2017: 737-746 - [c26]Rishabh Mehrotra, Imed Zitouni, Ahmed Hassan Awadallah, Ahmed El Kholy, Madian Khabsa:
User Interaction Sequences for Search Satisfaction Prediction. SIGIR 2017: 165-174 - [i3]Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Madian Khabsa, Ahmed Hassan Awadallah, Patrick Pantel:
Actionable Email Intent Modeling with Reparametrized RNNs. CoRR abs/1712.09185 (2017) - 2016
- [j5]Madian Khabsa, Ahmed K. Elmagarmid, Ihab F. Ilyas, Hossam Hammady, Mourad Ouzzani:
Learning to identify relevant studies for systematic reviews using random forest and external information. Mach. Learn. 102(3): 465-482 (2016) - [c25]Madian Khabsa, Aidan C. Crook, Ahmed Hassan Awadallah, Imed Zitouni, Tasos Anastasakos, Kyle Williams:
Learning to Account for Good Abandonment in Search Success Metrics. CIKM 2016: 1893-1896 - [c24]Madian Khabsa, Zhaohui Wu, C. Lee Giles:
Towards Better Understanding of Academic Search. JCDL 2016: 111-114 - [c23]Kunho Kim, Madian Khabsa, C. Lee Giles:
Inventor Name Disambiguation for a Patent Database Using a Random Forest and DBSCAN. JCDL 2016: 269-270 - [c22]Ellery Wulczyn, Madian Khabsa, Vrushank Vora, Matthew Heston, Joe Walsh, Christopher Berry, Rayid Ghani:
Identifying Earmarks in Congressional Bills. KDD 2016: 303-311 - [c21]Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa:
Is This Your Final Answer?: Evaluating the Effect of Answers on Good Abandonment in Mobile Search. SIGIR 2016: 889-892 - [c20]Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa:
Detecting Good Abandonment in Mobile Search. WWW 2016: 495-505 - [e1]Madian Khabsa, C. Lee Giles, Alex D. Wade:
Scholarly Big Data: AI Perspectives, Challenges, and Ideas, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016. AAAI Technical Report WS-16-13, AAAI Press 2016 [contents] - [i2]Kunho Kim, Madian Khabsa, C. Lee Giles:
Random Forest DBSCAN for USPTO Inventor Name Disambiguation. CoRR abs/1602.01792 (2016) - 2015
- [j4]Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Suppawong Tuarob, Alexander Ororbia, Douglas Jordan, Prasenjit Mitra, C. Lee Giles:
CiteSeerX: AI in a Digital Library Search Engine. AI Mag. 36(3): 35-48 (2015) - [j3]Madian Khabsa, C. Lee Giles:
Chemical entity extraction using CRF and an ensemble of extractors. J. Cheminformatics 7(S-1): S12 (2015) - [j2]Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M. Lowe, Roger A. Sayle, Riza Theresa Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rocktäschel, Sérgio Matos, David Campos, Buzhou Tang, Hua Xu, Tsendsuren Munkhdalai, Keun Ho Ryu, S. V. Ramanan, P. Senthil Nathan, Slavko Zitnik, Marko Bajec, Lutz Weber, Matthias Irmer, Saber A. Akhondi, Jan A. Kors, Shuo Xu, Xin An, Utpal Kumar Sikdar, Asif Ekbal, Masaharu Yoshioka, Thaer M. Dieb, Miji Choi, Karin Verspoor, Madian Khabsa, C. Lee Giles, Hongfang Liu, Ravikumar Komandur Elayavilli, Andre Lamurias, Francisco M. Couto, Hong-Jie Dai, Richard Tzong-Han Tsai, Caglar Ata, Tolga Can, Anabel Usie, Rui Alves, Isabel Segura-Bedmar, Paloma Martínez, Julen Oyarzabal, Alfonso Valencia:
The CHEMDNER corpus of chemicals and drugs and its annotation principles. J. Cheminformatics 7(S-1): S2 (2015) - [c19]Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles:
Online Person Name Disambiguation with Constraints. JCDL 2015: 37-46 - [c18]Pucktada Treeratpituk, Madian Khabsa, C. Lee Giles:
Automatically Generating a Concept Hierarchy with Graphs. JCDL 2015: 265-266 - [c17]Alexander G. Ororbia II, Jian Wu, Madian Khabsa, Kyle Williams, Clyde Lee Giles:
Big Scholarly Data in CiteSeerX: Information Extraction from the Web. WWW (Companion Volume) 2015: 597-602 - 2014
- [c16]Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles:
CiteSeerX: AI in a Digital Library Search Engine. AAAI 2014: 2930-2937 - [c15]Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles:
Large scale author name disambiguation in digital libraries. IEEE BigData 2014: 41-42 - [c14]Jian Wu, Kyle Williams, Madian Khabsa, C. Lee Giles:
The impact of user corrections on a crawl-based digital library: A CiteSeerX perspective. CollaborateCom 2014: 171-176 - [c13]Jian Wu, Alexander Ororbia, Kyle Williams, Madian Khabsa, Zhaohui Wu, C. Lee Giles:
Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX. Feedback Computing 2014 - [c12]Jian Wu, Pradeep B. Teregowda, Kyle Williams, Madian Khabsa, Douglas Jordan, Eric Treece, Zhaohui Wu, C. Lee Giles:
Migrating a Digital Library to a Private Cloud. IC2E 2014: 97-106 - [c11]Kyle Williams, Jian Wu, Sagnik Ray Choudhury, Madian Khabsa, C. Lee Giles:
Scholarly big data information extraction and integration in the CiteSeerχ digital library. ICDE Workshops 2014: 68-73 - [c10]Kyle Williams, Lichi Li, Madian Khabsa, Jian Wu, Patrick C. Shih, C. Lee Giles:
A Web Service for Scholarly Big Data Information Extraction. ICWS 2014: 105-112 - [c9]Zhaohui Wu, Jian Wu, Madian Khabsa, Kyle Williams, Hung-Hsuan Chen, Wenyi Huang, Suppawong Tuarob, Sagnik Ray Choudhury, Alexander Ororbia, Prasenjit Mitra, C. Lee Giles:
Towards building a scholarly big data platform: Challenges, lessons and opportunities. JCDL 2014: 117-126 - [c8]Hung-Hsuan Chen, Madian Khabsa, C. Lee Giles:
The feasibility of investing in manual correction of metadata for a large-scale digital library. JCDL 2014: 225-228 - 2013
- [i1]Pucktada Treeratpituk, Madian Khabsa, C. Lee Giles:
Graph-based Approach to Automatic Taxonomy Generation (GraBTax). CoRR abs/1307.1718 (2013) - 2012
- [j1]Sumit Bhatia, Cornelia Caragea, Hung-Hsuan Chen, Jian Wu, Pucktada Treeratpituk, Zhaohui Wu, Madian Khabsa, Prasenjit Mitra, C. Lee Giles:
Specialized Research Datasets in the CiteSeerx Digital Library. D Lib Mag. 18(7/8) (2012) - [c7]Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles:
Entity resolution using search engine results. CIKM 2012: 2363-2366 - [c6]Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles:
AckSeer: a repository and search engine for automatically extracted acknowledgments from digital libraries. JCDL 2012: 185-194 - [c5]Pradeep B. Teregowda, Madian Khabsa, Clyde Lee Giles:
A system for indexing tables, algorithms and figures. JCDL 2012: 343-344 - [c4]Madian Khabsa, Sharon Koppman, C. Lee Giles:
Towards Building and Analyzing a Social Network of Acknowledgments in Scientific and Academic Documents. SBP 2012: 357-364 - [c3]Madian Khabsa, Stephen Carman, Sagnik Ray Choudhury, C. Lee Giles:
A Framework for Bridging the Gap Between Open Source Search Tools. OSIR@SIGIR 2012: 32-39 - [c2]Jian Wu, Pradeep B. Teregowda, Madian Khabsa, Stephen Carman, Douglas Jordan, Jose San Pedro Wandelmer, Xin Lu, Prasenjit Mitra, C. Lee Giles:
Web crawler middleware for search engine digital libraries: a case study for citeseerX. WIDM 2012: 57-64 - 2010
- [c1]Pradeep B. Teregowda, Isaac G. Councill, Juan Pablo Fernández Ramírez, Madian Khabsa, Shuyi Zheng, C. Lee Giles:
SeerSuite: Developing a Scalable and Reliable Application Framework for Building Digital Libraries by Crawling the Web. WebApps 2010
Coauthor Index
Ahmed Awadallah 0001
aka: Ahmed Hassan Awadallah
aka: Ahmed Hassan Awadallah
C. Lee Giles
aka: Clyde Lee Giles
aka: Clyde Lee Giles
Kyle Williams 0001
aka: Kyle Mark Williams
aka: Kyle Mark Williams
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