Madian Khabsa

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 66

Top Topics

Reading Comprehension

Question Answer

Natural Language Interfaces

Top Venues

Publications

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)
Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Jimmy Ba, Amjad Almahairi
Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization. CoRR (2023)
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 (2023)
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)
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)
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 (2023)
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 (2023)
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)
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 (2023)
Chenbin Pan, Rui Hou, Hanchao Yu, Qifan Wang, Senem Velipasalar, Madian Khabsa
SVT: Supertoken Video Transformer for Efficient Video Understanding. CoRR (2023)
Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi
Progressive Prompts: Continual Learning for Language Models. ICLR (2023)
Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi
Progressive Prompts: Continual Learning for Language Models. CoRR (2023)
Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. AAAI (2023)
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 (2023)
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 (2023)
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)
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)
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 (2023)
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 (2023)
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 (2023)
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)
Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. CoRR (2022)
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)
Siddharth Verma, Yuchen Lu, Rui Hou, Hanchao Yu, Nicolas Ballas, Madian Khabsa, Amjad Almahairi
Uniform Masking Prevails in Vision-Language Pretraining. CoRR (2022)
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)
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)
Nayeon Lee, Yejin Bang, Andrea Madotto, Madian Khabsa, Pascale Fung
Towards Few-Shot Fact-Checking via Perplexity. CoRR (2021)
Sinong Wang, Han Fang, Madian Khabsa, Hanzi Mao, Hao Ma
Entailment as Few-Shot Learner. CoRR (2021)
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 (2021)
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)
Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa
On Unifying Misinformation Detection. CoRR (2021)
Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa
On Unifying Misinformation Detection. NAACL-HLT (2021)
Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma
CLEAR: Contrastive Learning for Sentence Representation. CoRR (2020)
Sinong Wang, Madian Khabsa, Hao Ma
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks. ACL (2020)
Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa
Language Models as Fact Checkers? CoRR (2020)
Sinong Wang, Madian Khabsa, Hao Ma
To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks. CoRR (2020)
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 (2020)
Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, Hao Ma
Linformer: Self-Attention with Linear Complexity. CoRR (2020)
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)
Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder. ACL (1) (2019)
Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism. CoRR (2019)
Xiao Yang, Miaosen Wang, Wei Wang, Madian Khabsa, Ahmed Hassan Awadallah
Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching. CoRR (2018)
Xiao Yang, Ahmed Hassan Awadallah, Madian Khabsa, Wei Wang, Miaosen Wang
Characterizing and Supporting Question Answering in Human-to-Human Communication. SIGIR (2018)
Madian Khabsa, Ahmed El Kholy, Ahmed Hassan Awadallah, Imed Zitouni, Milad Shokouhi
Identifying Task Boundaries in Digital Assistants. WWW (Companion Volume) (2018)
Rishabh Mehrotra, Imed Zitouni, Ahmed Hassan Awadallah, Ahmed El Kholy, Madian Khabsa
User Interaction Sequences for Search Satisfaction Prediction. SIGIR (2017)
Yu Su, Ahmed Hassan Awadallah, Madian Khabsa, Patrick Pantel, Michael Gamon, Mark J. Encarnación
Building Natural Language Interfaces to Web APIs. CIKM (2017)
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)
Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Madian Khabsa, Ahmed Hassan Awadallah, Patrick Pantel
Actionable Email Intent Modeling with Reparametrized RNNs. CoRR (2017)
Madian Khabsa, Zhaohui Wu, C. Lee Giles
Towards Better Understanding of Academic Search. JCDL (2016)
Kunho Kim, Madian Khabsa, C. Lee Giles
Random Forest DBSCAN for USPTO Inventor Name Disambiguation. CoRR (2016)
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)
Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa
Detecting Good Abandonment in Mobile Search. WWW (2016)
Kunho Kim, Madian Khabsa, C. Lee Giles
Inventor Name Disambiguation for a Patent Database Using a Random Forest and DBSCAN. JCDL (2016)
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)
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) (2016)
Ellery Wulczyn, Madian Khabsa, Vrushank Vora, Matthew Heston, Joe Walsh, Christopher Berry, Rayid Ghani
Identifying Earmarks in Congressional Bills. KDD (2016)
Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles
Online Person Name Disambiguation with Constraints. JCDL (2015)
Madian Khabsa, C. Lee Giles
Chemical entity extraction using CRF and an ensemble of extractors. J. Cheminformatics 7 (S-1) (2015)
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) (2015)
Pucktada Treeratpituk, Madian Khabsa, C. Lee Giles
Automatically Generating a Concept Hierarchy with Graphs. JCDL (2015)
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)
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) (2015)
Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles
Large scale author name disambiguation in digital libraries. IEEE BigData (2014)
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)
Jian Wu, Kyle 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)
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)
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)
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)
Kyle Williams, Jian Wu, Sagnik Ray Choudhury, Madian Khabsa, C. Lee Giles
digital library. ICDE Workshops (2014)
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)
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)
Pucktada Treeratpituk, Madian Khabsa, C. Lee Giles
Graph-based Approach to Automatic Taxonomy Generation (GraBTax). CoRR (2013)
Madian Khabsa, Stephen Carman, Sagnik Ray Choudhury, C. Lee Giles
A Framework for Bridging the Gap Between Open Source Search Tools. OSIR@SIGIR (2012)
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)
Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles
AckSeer: a repository and search engine for automatically extracted acknowledgments from digital libraries. JCDL (2012)
Madian Khabsa, Sharon Koppman, C. Lee Giles
Towards Building and Analyzing a Social Network of Acknowledgments in Scientific and Academic Documents. SBP (2012)
Sumit Bhatia, Cornelia Caragea, Hung-Hsuan Chen, Jian Wu, Pucktada Treeratpituk, Zhaohui Wu, Madian Khabsa, Prasenjit Mitra, C. Lee Giles
Digital Library. D Lib Mag. 18 (7/8) (2012)
Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles
Entity resolution using search engine results. CIKM (2012)
Pradeep B. Teregowda, Madian Khabsa, Clyde Lee Giles
A system for indexing tables, algorithms and figures. JCDL (2012)
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)