Madian Khabsa - RankMe

95 papers A* 11A 5B 1C 1Journal 44Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models. CoRR Hoang Phan, Xianjun Yang, Kevin Yao, Jingyu Zhang, Shengjie Bi, Xiaocheng Tang, Madian Khabsa, Lijuan Liu, Deren Lei
2025	J	`jnl`	Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder. CoRR Xianjun Yang, Shaoliang Nie, Lijuan Liu, Suchin Gururangan, Ujjwal Karn, Rui Hou, Madian Khabsa, Yuning Mao
2025	J	`jnl`	High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning. CoRR Tim Franzmeyer, Archie Sravankumar, Lijuan Liu, Yuning Mao, Rui Hou, Sinong Wang, Jakob N. Foerster, Luke Zettlemoyer, Madian Khabsa
2025	J	`jnl`	Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. CoRR Zhiyang Xu, Jiuhai Chen, Zhaojiang Lin, Xichen Pan, Lifu Huang, Tianyi Zhou, Madian Khabsa, Qifan Wang, Di Jin, Michihiro Yasunaga, Lili Yu, Xi Victoria Lin, Shaoliang Nie
2024	—	`conf`	Effective Long-Context Scaling of Foundation Models. NAACL-HLT 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
2024	—	`conf`	MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. NAACL-HLT Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
2024	J	`jnl`	On the Equivalence of Graph Convolution and Mixup. Trans. Mach. Learn. Res. 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
2024	J	`jnl`	Preference Optimization with Multi-Sample Comparisons. CoRR Chaoqi Wang, Zhuokai Zhao, Chen Zhu, Karthik Abinav Sankararaman, Michal Valko, Xuefei Cao, Zhaorun Chen, Madian Khabsa, Yuxin Chen, Hao Ma, Sinong Wang
2024	—	`conf`	The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. ACL (1) Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
2024	J	`jnl`	The Perfect Blend: Redefining RLHF with Mixture of Judges. CoRR 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
2023	J	`jnl`	Effective Long-Context Scaling of Foundation Models. CoRR 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
2023	—	`conf`	Generating Hashtags for Short-form Videos with Guided Signals. ACL (1) Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung, Yi-Chia Wang
2023	J	`jnl`	Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR 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
2023	J	`jnl`	Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations. CoRR Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, Madian Khabsa
2023	A*	`conf`	Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. AAAI Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias
2023	J	`jnl`	MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. CoRR Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
2023	J	`jnl`	MMViT: Multiscale Multiview Vision Transformers. CoRR Yuchen Liu, Natasha Ong, Kaiyan Peng, Bo Xiong, Qifan Wang, Rui Hou, Madian Khabsa, Kaiyue Yang, David Liu, Donald S. Williamson, Hanchao Yu
2023	—	`conf`	MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
2023	—	`conf`	MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu
2023	J	`jnl`	On the Equivalence of Graph Convolution and Mixup. CoRR 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
2023	A*	`conf`	Progressive Prompts: Continual Learning for Language Models. ICLR Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi
2023	J	`jnl`	Progressive Prompts: Continual Learning for Language Models. CoRR Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi
2023	J	`jnl`	Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization. CoRR Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Jimmy Ba, Amjad Almahairi
2023	—	`conf`	Residual Prompt Tuning: improving prompt tuning with residual reparameterization. ACL (Findings) Anastasia Razdaibiedina, Yuning Mao, Madian Khabsa, Mike Lewis, Rui Hou, Jimmy Ba, Amjad Almahairi
2023	—	`conf`	RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
2023	J	`jnl`	RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. CoRR Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
2023	J	`jnl`	SVT: Supertoken Video Transformer for Efficient Video Understanding. CoRR Chenbin Pan, Rui Hou, Hanchao Yu, Qifan Wang, Senem Velipasalar, Madian Khabsa
2023	J	`jnl`	The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. CoRR Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
2023	A*	`conf`	XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. EMNLP Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa
2023	J	`jnl`	XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. CoRR Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa
2022	J	`jnl`	Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. CoRR Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias
2022	—	`conf`	Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. NAACL-HLT Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas
2022	—	`conf`	SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. EMNLP (Findings) Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma
2022	—	`conf`	Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. NAACL-HLT Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
2022	—	`conf`	UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. ACL (1) Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa
2022	J	`jnl`	Uniform Masking Prevails in Vision-Language Pretraining. CoRR Siddharth Verma, Yuchen Lu, Rui Hou, Hanchao Yu, Nicolas Ballas, Madian Khabsa, Amjad Almahairi
2021	J	`jnl`	A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz
2021	J	`jnl`	Entailment as Few-Shot Learner. CoRR Sinong Wang, Han Fang, Madian Khabsa, Hanzi Mao, Hao Ma
2021	—	`conf`	On Unifying Misinformation Detection. NAACL-HLT Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa
2021	J	`jnl`	On Unifying Misinformation Detection. CoRR Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa
2021	—	`conf`	On the Influence of Masking Policies in Intermediate Pre-training. EMNLP (1) Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2021	J	`jnl`	On the Influence of Masking Policies in Intermediate Pre-training. CoRR Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2021	J	`jnl`	Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. CoRR Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas
2021	J	`jnl`	Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. CoRR Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
2021	J	`jnl`	Towards Few-Shot Fact-Checking via Perplexity. CoRR Nayeon Lee, Yejin Bang, Andrea Madotto, Madian Khabsa, Pascale Fung
2021	J	`jnl`	UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. CoRR Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa
2020	J	`jnl`	CLEAR: Contrastive Learning for Sentence Representation. CoRR Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma
2020	J	`jnl`	Language Models as Fact Checkers? CoRR Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa
2020	J	`jnl`	Linformer: Self-Attention with Linear Complexity. CoRR Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, Hao Ma
2020	J	`jnl`	Studying Strategically: Learning to Mask for Closed-book QA. CoRR Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2020	J	`jnl`	To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks. CoRR Sinong Wang, Madian Khabsa, Hao Ma
2020	A*	`conf`	To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks. ACL Sinong Wang, Madian Khabsa, Hao Ma
2019	A*	`conf`	Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching. AAAI Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles
2019	—	`conf`	Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder. ACL (1) Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko
2019	J	`jnl`	Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism. CoRR Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko
2018	J	`jnl`	Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching. CoRR Xiao Yang, Miaosen Wang, Wei Wang, Madian Khabsa, Ahmed Hassan Awadallah
2018	A*	`conf`	Characterizing and Supporting Question Answering in Human-to-Human Communication. SIGIR Xiao Yang, Ahmed Hassan Awadallah, Madian Khabsa, Wei Wang, Miaosen Wang
2018	—	`conf`	Identifying Task Boundaries in Digital Assistants. WWW (Companion Volume) Madian Khabsa, Ahmed El Kholy, Ahmed Hassan Awadallah, Imed Zitouni, Milad Shokouhi
2017	J	`jnl`	Actionable Email Intent Modeling with Reparametrized RNNs. CoRR Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Madian Khabsa, Ahmed Hassan Awadallah, Patrick Pantel
2017	A	`conf`	Building Natural Language Interfaces to Web APIs. CIKM Yu Su, Ahmed Hassan Awadallah, Madian Khabsa, Patrick Pantel, Michael Gamon, Mark J. Encarnación
2017	A	`conf`	Deep Sequential Models for Task Satisfaction Prediction. CIKM Rishabh Mehrotra, Ahmed Hassan Awadallah, Milad Shokouhi, Emine Yilmaz, Imed Zitouni, Ahmed El Kholy, Madian Khabsa
2017	A*	`conf`	User Interaction Sequences for Search Satisfaction Prediction. SIGIR Rishabh Mehrotra, Imed Zitouni, Ahmed Hassan Awadallah, Ahmed El Kholy, Madian Khabsa
2016	A*	`conf`	Detecting Good Abandonment in Mobile Search. WWW Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa
2016	A*	`conf`	Identifying Earmarks in Congressional Bills. KDD Ellery Wulczyn, Madian Khabsa, Vrushank Vora, Matthew Heston, Joe Walsh, Christopher Berry, Rayid Ghani
2016	—	`conf`	Inventor Name Disambiguation for a Patent Database Using a Random Forest and DBSCAN. JCDL Kunho Kim, Madian Khabsa, C. Lee Giles
2016	A*	`conf`	Is This Your Final Answer?: Evaluating the Effect of Answers on Good Abandonment in Mobile Search. SIGIR Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa
2016	A	`conf`	Learning to Account for Good Abandonment in Search Success Metrics. CIKM Madian Khabsa, Aidan C. Crook, Ahmed Hassan Awadallah, Imed Zitouni, Tasos Anastasakos, Kyle Williams
2016	J	`jnl`	Learning to identify relevant studies for systematic reviews using random forest and external information. Mach. Learn. Madian Khabsa, Ahmed K. Elmagarmid, Ihab F. Ilyas, Hossam Hammady, Mourad Ouzzani
2016	J	`jnl`	Random Forest DBSCAN for USPTO Inventor Name Disambiguation. CoRR Kunho Kim, Madian Khabsa, C. Lee Giles
2016	—	`ed.`	Scholarly Big Data: AI Perspectives, Challenges, and Ideas, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016. AAAI Workshop: Scholarly Big Data Madian Khabsa, C. Lee Giles, Alex D. Wade
2016	—	`conf`	Towards Better Understanding of Academic Search. JCDL Madian Khabsa, Zhaohui Wu, C. Lee Giles
2015	—	`conf`	Automatically Generating a Concept Hierarchy with Graphs. JCDL Pucktada Treeratpituk, Madian Khabsa, C. Lee Giles
2015	—	`conf`	Big Scholarly Data in CiteSeerX: Information Extraction from the Web. WWW (Companion Volume) Alexander G. Ororbia II, Jian Wu, Madian Khabsa, Kyle Williams, Clyde Lee Giles
2015	J	`jnl`	Chemical entity extraction using CRF and an ensemble of extractors. J. Cheminformatics Madian Khabsa, C. Lee Giles
2015	J	`jnl`	CiteSeerX: AI in a Digital Library Search Engine. AI Mag. Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Suppawong Tuarob, Alexander Ororbia, Douglas Jordan, Prasenjit Mitra, C. Lee Giles
2015	—	`conf`	Online Person Name Disambiguation with Constraints. JCDL Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles
2015	J	`jnl`	The CHEMDNER corpus of chemicals and drugs and its annotation principles. J. Cheminformatics 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
2014	A	`conf`	A Web Service for Scholarly Big Data Information Extraction. ICWS Kyle Williams, Lichi Li, Madian Khabsa, Jian Wu, Patrick C. Shih, C. Lee Giles
2014	A*	`conf`	CiteSeerX: AI in a Digital Library Search Engine. AAAI Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles
2014	—	`conf`	Large scale author name disambiguation in digital libraries. IEEE BigData Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles
2014	B	`conf`	Migrating a Digital Library to a Private Cloud. IC2E Jian Wu, Pradeep B. Teregowda, Kyle Williams, Madian Khabsa, Douglas Jordan, Eric Treece, Zhaohui Wu, C. Lee Giles
2014	—	`conf`	Scholarly big data information extraction and integration in the CiteSeer ICDE Workshops Kyle Williams, Jian Wu, Sagnik Ray Choudhury, Madian Khabsa, C. Lee Giles
2014	—	`conf`	The feasibility of investing in manual correction of metadata for a large-scale digital library. JCDL Hung-Hsuan Chen, Madian Khabsa, C. Lee Giles
2014	C	`conf`	The impact of user corrections on a crawl-based digital library: A CiteSeerX perspective. CollaborateCom Jian Wu, Kyle Williams, Madian Khabsa, C. Lee Giles
2014	—	`conf`	Towards building a scholarly big data platform: Challenges, lessons and opportunities. JCDL 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
2014	—	`conf`	Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX. Feedback Computing Jian Wu, Alexander Ororbia, Kyle Williams, Madian Khabsa, Zhaohui Wu, C. Lee Giles
2013	J	`jnl`	Graph-based Approach to Automatic Taxonomy Generation (GraBTax). CoRR Pucktada Treeratpituk, Madian Khabsa, C. Lee Giles
2012	—	`conf`	A Framework for Bridging the Gap Between Open Source Search Tools. OSIR@SIGIR Madian Khabsa, Stephen Carman, Sagnik Ray Choudhury, C. Lee Giles
2012	—	`conf`	A system for indexing tables, algorithms and figures. JCDL Pradeep B. Teregowda, Madian Khabsa, Clyde Lee Giles
2012	—	`conf`	AckSeer: a repository and search engine for automatically extracted acknowledgments from digital libraries. JCDL Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles
2012	A	`conf`	Entity resolution using search engine results. CIKM Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles
2012	J	`jnl`	Specialized Research Datasets in the CiteSeer D Lib Mag. Sumit Bhatia, Cornelia Caragea, Hung-Hsuan Chen, Jian Wu, Pucktada Treeratpituk, Zhaohui Wu, Madian Khabsa, Prasenjit Mitra, C. Lee Giles
2012	—	`conf`	Towards Building and Analyzing a Social Network of Acknowledgments in Scientific and Academic Documents. SBP Madian Khabsa, Sharon Koppman, C. Lee Giles
2012	—	`conf`	Web crawler middleware for search engine digital libraries: a case study for citeseerX. WIDM Jian Wu, Pradeep B. Teregowda, Madian Khabsa, Stephen Carman, Douglas Jordan, Jose San Pedro Wandelmer, Xin Lu, Prasenjit Mitra, C. Lee Giles
2010	—	`conf`	SeerSuite: Developing a Scalable and Reliable Application Framework for Building Digital Libraries by Crawling the Web. WebApps Pradeep B. Teregowda, Isaac G. Councill, Juan Pablo Fernández Ramírez, Madian Khabsa, Shuyi Zheng, C. Lee Giles