Madian Khabsa

According to our database, Madian Khabsa authored at least 77 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Preference Optimization with Multi-Sample Comparisons.

Chaoqi Wang, Zhuokai Zhao, Chen Zhu, Karthik Abinav Sankararaman, Michal Valko, Xuefei Cao, Zhaorun Chen, Madian Khabsa, Yuxin Chen, Hao Ma, Sinong Wang

CoRR, 2024

The Perfect Blend: Redefining RLHF with Mixture of Judges.

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

CoRR, 2024

Effective Long-Context Scaling of Foundation Models.

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.

Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants.

Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, Madian Khabsa

CoRR, 2023

On the Equivalence of Graph Convolution and Mixup.

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

CoRR, 2023

Llama 2: Open Foundation and Fine-Tuned Chat Models.

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

CoRR, 2023

MMViT: Multiscale Multiview Vision Transformers.

Yuchen Liu, Natasha Ong, Kaiyan Peng, Bo Xiong, Qifan Wang, Rui Hou, Madian Khabsa, Kaiyue Yang, David Liu, Donald S. Williamson, Hanchao Yu

CoRR, 2023

SVT: Supertoken Video Transformer for Efficient Video Understanding.

Chenbin Pan, Rui Hou, Hanchao Yu, Qifan Wang, Senem Velipasalar, Madian Khabsa

CoRR, 2023

Progressive Prompts: Continual Learning for Language Models.

Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models.

Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.

Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generating Hashtags for Short-form Videos with Guided Signals.

Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung, Yi-Chia Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.

Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.

Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Residual Prompt Tuning: improving prompt tuning with residual reparameterization.

Anastasia Razdaibiedina, Yuning Mao, Madian Khabsa, Mike Lewis, Rui Hou, Jimmy Ba, Amjad Almahairi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI.

Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Uniform Masking Prevails in Vision-Language Pretraining.

Siddharth Verma, Yuchen Lu, Rui Hou, Hanchao Yu, Nicolas Ballas, Madian Khabsa, Amjad Almahairi

CoRR, 2022

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models.

Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Quantifying Adaptability in Pre-trained Language Models with 500 Tasks.

Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.

Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning.

Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision.

Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz

CoRR, 2021

Sparse Distillation: Speeding Up Text Classification by Using Bigger Models.

Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech

CoRR, 2021

Entailment as Few-Shot Learner.

Sinong Wang, Han Fang, Madian Khabsa, Hanzi Mao, Hao Ma

CoRR, 2021

Towards Few-Shot Fact-Checking via Perplexity.

Nayeon Lee, Yejin Bang, Andrea Madotto, Madian Khabsa, Pascale Fung

CoRR, 2021

On Unifying Misinformation Detection.

Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

On the Influence of Masking Policies in Intermediate Pre-training.

Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Studying Strategically: Learning to Mask for Closed-book QA.

Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa

CoRR, 2020

CLEAR: Contrastive Learning for Sentence Representation.

Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma

CoRR, 2020

To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks.

Sinong Wang, Madian Khabsa, Hao Ma

CoRR, 2020

Linformer: Self-Attention with Linear Complexity.

Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, Hao Ma

CoRR, 2020

Language Models as Fact Checkers?

Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa

CoRR, 2020

To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks.

Sinong Wang, Madian Khabsa, Hao Ma

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism.

Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko

CoRR, 2019

Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder.

Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching.

Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching.

Xiao Yang, Miaosen Wang, Wei Wang, Madian Khabsa, Ahmed Hassan Awadallah

CoRR, 2018

Identifying Task Boundaries in Digital Assistants.

Madian Khabsa, Ahmed El Kholy, Ahmed Hassan Awadallah, Imed Zitouni, Milad Shokouhi

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Characterizing and Supporting Question Answering in Human-to-Human Communication.

Xiao Yang, Ahmed Hassan Awadallah, Madian Khabsa, Wei Wang, Miaosen Wang

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017

Actionable Email Intent Modeling with Reparametrized RNNs.

Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Madian Khabsa, Ahmed Hassan Awadallah, Patrick Pantel

CoRR, 2017

User Interaction Sequences for Search Satisfaction Prediction.

Rishabh Mehrotra, Imed Zitouni, Ahmed Hassan Awadallah, Ahmed El Kholy, Madian Khabsa

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Building Natural Language Interfaces to Web APIs.

Yu Su, Ahmed Hassan Awadallah, Madian Khabsa, Patrick Pantel, Michael Gamon, Mark J. Encarnación

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Deep Sequential Models for Task Satisfaction Prediction.

Rishabh Mehrotra, Ahmed Hassan Awadallah, Milad Shokouhi, Emine Yilmaz, Imed Zitouni, Ahmed El Kholy, Madian Khabsa

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Learning to identify relevant studies for systematic reviews using random forest and external information.

Madian Khabsa, Ahmed K. Elmagarmid, Ihab F. Ilyas, Hossam Hammady, Mourad Ouzzani

Mach. Learn., 2016

Random Forest DBSCAN for USPTO Inventor Name Disambiguation.

Kunho Kim, Madian Khabsa, C. Lee Giles

CoRR, 2016

Detecting Good Abandonment in Mobile Search.

Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa

Proceedings of the 25th International Conference on World Wide Web, 2016

Is This Your Final Answer?: Evaluating the Effect of Answers on Good Abandonment in Mobile Search.

Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Identifying Earmarks in Congressional Bills.

Ellery Wulczyn, Madian Khabsa, Vrushank Vora, Matthew Heston, Joe Walsh, Christopher Berry, Rayid Ghani

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Inventor Name Disambiguation for a Patent Database Using a Random Forest and DBSCAN.

Kunho Kim, Madian Khabsa, C. Lee Giles

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016

Towards Better Understanding of Academic Search.

Madian Khabsa, Zhaohui Wu, C. Lee Giles

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016

Learning to Account for Good Abandonment in Search Success Metrics.

Madian Khabsa, Aidan C. Crook, Ahmed Hassan Awadallah, Imed Zitouni, Tasos Anastasakos, Kyle Williams

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

The CHEMDNER corpus of chemicals and drugs and its annotation principles.

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

J. Cheminformatics, 2015

Chemical entity extraction using CRF and an ensemble of extractors.

Madian Khabsa, C. Lee Giles

J. Cheminformatics, 2015

CiteSeerX: AI in a Digital Library Search Engine.

Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Suppawong Tuarob, Alexander Ororbia, Douglas Jordan, Prasenjit Mitra, C. Lee Giles

AI Mag., 2015

Big Scholarly Data in CiteSeerX: Information Extraction from the Web.

Alexander G. Ororbia II, Jian Wu, Madian Khabsa, Kyle Williams, Clyde Lee Giles

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Automatically Generating a Concept Hierarchy with Graphs.

Pucktada Treeratpituk, Madian Khabsa, C. Lee Giles

Proceedings of the 15th ACM/IEEE-CE Joint Conference on Digital Libraries, 2015

Online Person Name Disambiguation with Constraints.

Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles

Proceedings of the 15th ACM/IEEE-CE Joint Conference on Digital Libraries, 2015

2014

Towards building a scholarly big data platform: Challenges, lessons and opportunities.

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

Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014

The feasibility of investing in manual correction of metadata for a large-scale digital library.

Hung-Hsuan Chen, Madian Khabsa, C. Lee Giles

Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014

A Web Service for Scholarly Big Data Information Extraction.

Kyle Williams, Lichi Li, Madian Khabsa, Jian Wu, Patrick C. Shih, C. Lee Giles

Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Scholarly big data information extraction and integration in the CiteSeer^χ digital library.

Kyle Williams, Jian Wu, Sagnik Ray Choudhury, Madian Khabsa, C. Lee Giles

Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014

Migrating a Digital Library to a Private Cloud.

Jian Wu, Pradeep B. Teregowda, Kyle Williams, Madian Khabsa, Douglas Jordan, Eric Treece, Zhaohui Wu, C. Lee Giles

Proceedings of the 2014 IEEE International Conference on Cloud Engineering, 2014

Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX.

Jian Wu, Alexander Ororbia, Kyle Williams, Madian Khabsa, Zhaohui Wu, C. Lee Giles

Proceedings of the 9th International Workshop on Feedback Computing, 2014

The impact of user corrections on a crawl-based digital library: A CiteSeerX perspective.

Jian Wu, Kyle Williams, Madian Khabsa, C. Lee Giles

Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, 2014

Large scale author name disambiguation in digital libraries.

Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

CiteSeerX: AI in a Digital Library Search Engine.

Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Graph-based Approach to Automatic Taxonomy Generation (GraBTax).

Pucktada Treeratpituk, Madian Khabsa, C. Lee Giles

CoRR, 2013

2012

Specialized Research Datasets in the CiteSeer^x Digital Library.

Sumit Bhatia, Cornelia Caragea, Hung-Hsuan Chen, Jian Wu, Pucktada Treeratpituk, Zhaohui Wu, Madian Khabsa, Prasenjit Mitra, C. Lee Giles

D Lib Mag., 2012

Web crawler middleware for search engine digital libraries: a case study for citeseerX.

Jian Wu, Pradeep B. Teregowda, Madian Khabsa, Stephen Carman, Douglas Jordan, Jose San Pedro Wandelmer, Xin Lu, Prasenjit Mitra, C. Lee Giles

Proceedings of the Twelfth International Workshop on Web Information and Data Management, 2012

A Framework for Bridging the Gap Between Open Source Search Tools.

Madian Khabsa, Stephen Carman, Sagnik Ray Choudhury, C. Lee Giles

Proceedings of the SIGIR 2012 Workshop on Open Source Information Retrieval, 2012

Towards Building and Analyzing a Social Network of Acknowledgments in Scientific and Academic Documents.

Madian Khabsa, Sharon Koppman, C. Lee Giles

Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012

A system for indexing tables, algorithms and figures.

Pradeep B. Teregowda, Madian Khabsa, Clyde Lee Giles

Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

AckSeer: a repository and search engine for automatically extracted acknowledgments from digital libraries.

Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles

Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

Entity resolution using search engine results.

Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010

SeerSuite: Developing a Scalable and Reliable Application Framework for Building Digital Libraries by Crawling the Web.

Pradeep B. Teregowda, Isaac G. Councill, Juan Pablo Fernández Ramírez, Madian Khabsa, Shuyi Zheng, C. Lee Giles

Proceedings of the USENIX Conference on Web Application Development, 2010