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 (WebApps, 2010)

Entity resolution using search engine results. - Madian Khabsa; Pucktada Treeratpituk; C. Lee Giles (CIKM, 2012)

AckSeer: a repository and search engine for automatically extracted acknowledgments from digital libraries. - Madian Khabsa; Pucktada Treeratpituk; C. Lee Giles (JCDL, 2012)

A system for indexing tables, algorithms and figures. - Pradeep B. Teregowda; Madian Khabsa; Clyde Lee Giles (JCDL, 2012)

Towards Building and Analyzing a Social Network of Acknowledgments in Scientific and Academic Documents. - Madian Khabsa; Sharon Koppman; C. Lee Giles (SBP, 2012)

A Framework for Bridging the Gap Between Open Source Search Tools. - Madian Khabsa; Stephen Carman; Sagnik Ray Choudhury; C. Lee Giles (OSIR@SIGIR, 2012)

Web crawler middleware for search engine digital libraries: a case study for citeseerX. - Jian Wu 006; Pradeep B. Teregowda; Madian Khabsa; Stephen Carman; Douglas Jordan; Jose San Pedro Wandelmer; Xin Lu; Prasenjit Mitra; C. Lee Giles (WIDM, 2012)

Specialized Research Datasets in the CiteSeerx Digital Library. - Sumit Bhatia; Cornelia Caragea; Hung-Hsuan Chen; Jian Wu 006; Pucktada Treeratpituk; Zhaohui Wu 002; Madian Khabsa; Prasenjit Mitra; C. Lee Giles (D Lib Mag., 2012)

Graph-based Approach to Automatic Taxonomy Generation (GraBTax). - Pucktada Treeratpituk; Madian Khabsa; C. Lee Giles (CoRR, 2013)

CiteSeerX: AI in a Digital Library Search Engine. - Jian Wu 006; Kyle Mark Williams; Hung-Hsuan Chen; Madian Khabsa; Cornelia Caragea; Alexander Ororbia; Douglas Jordan; C. Lee Giles (AAAI, 2014)

Large scale author name disambiguation in digital libraries. - Madian Khabsa; Pucktada Treeratpituk; C. Lee Giles (IEEE BigData, 2014)

The impact of user corrections on a crawl-based digital library: A CiteSeerX perspective. - Jian Wu 006; Kyle Williams 001; Madian Khabsa; C. Lee Giles (CollaborateCom, 2014)

Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX. - Jian Wu 006; Alexander Ororbia; Kyle Williams 001; Madian Khabsa; Zhaohui Wu 002; C. Lee Giles (Feedback Computing, 2014)

Migrating a Digital Library to a Private Cloud. - Jian Wu 006; Pradeep B. Teregowda; Kyle Williams 001; Madian Khabsa; Douglas Jordan; Eric Treece; Zhaohui Wu 002; C. Lee Giles (IC2E, 2014)

Scholarly big data information extraction and integration in the CiteSeerχ digital library. - Kyle Williams 001; Jian Wu 006; Sagnik Ray Choudhury; Madian Khabsa; C. Lee Giles (ICDE Workshops, 2014)

A Web Service for Scholarly Big Data Information Extraction. - Kyle Williams 001; Lichi Li; Madian Khabsa; Jian Wu 006; Patrick C. Shih; C. Lee Giles (ICWS, 2014)

The feasibility of investing in manual correction of metadata for a large-scale digital library. - Hung-Hsuan Chen; Madian Khabsa; C. Lee Giles (JCDL, 2014)

Towards building a scholarly big data platform: Challenges, lessons and opportunities. - Zhaohui Wu 002; Jian Wu 006; Madian Khabsa; Kyle Williams 001; Hung-Hsuan Chen; Wenyi Huang; Suppawong Tuarob; Sagnik Ray Choudhury; Alexander Ororbia; Prasenjit Mitra; C. Lee Giles (JCDL, 2014)

Online Person Name Disambiguation with Constraints. - Madian Khabsa; Pucktada Treeratpituk; C. Lee Giles (JCDL, 2015)

Automatically Generating a Concept Hierarchy with Graphs. - Pucktada Treeratpituk; Madian Khabsa; C. Lee Giles (JCDL, 2015)

Big Scholarly Data in CiteSeerX: Information Extraction from the Web. - Alexander G. Ororbia II; Jian Wu 006; Madian Khabsa; Kyle Williams 001; Clyde Lee Giles (WWW (Companion Volume), 2015)

CiteSeerX: AI in a Digital Library Search Engine. - Jian Wu 006; Kyle Mark Williams; Hung-Hsuan Chen; Madian Khabsa; Cornelia Caragea; Suppawong Tuarob; Alexander Ororbia; Douglas Jordan; Prasenjit Mitra; C. Lee Giles (AI Mag., 2015)

Chemical entity extraction using CRF and an ensemble of extractors. - Madian Khabsa; C. Lee Giles (J. Cheminformatics, 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; et al. (J. Cheminformatics, 2015)

Learning to Account for Good Abandonment in Search Success Metrics. - Madian Khabsa; Aidan C. Crook; Ahmed Hassan Awadallah; Imed Zitouni; Tasos Anastasakos; Kyle Williams 001 (CIKM, 2016)

Towards Better Understanding of Academic Search. - Madian Khabsa; Zhaohui Wu 002; C. Lee Giles (JCDL, 2016)

Inventor Name Disambiguation for a Patent Database Using a Random Forest and DBSCAN. - Kunho Kim; Madian Khabsa; C. Lee Giles (JCDL, 2016)

Identifying Earmarks in Congressional Bills. - Ellery Wulczyn; Madian Khabsa; Vrushank Vora; Matthew Heston; Joe Walsh; Christopher Berry; Rayid Ghani (KDD, 2016)

Is This Your Final Answer?: Evaluating the Effect of Answers on Good Abandonment in Mobile Search. - Kyle Williams 001; Julia Kiseleva; Aidan C. Crook; Imed Zitouni; Ahmed Hassan Awadallah; Madian Khabsa (SIGIR, 2016)

Detecting Good Abandonment in Mobile Search. - Kyle Williams 001; Julia Kiseleva; Aidan C. Crook; Imed Zitouni; Ahmed Hassan Awadallah; Madian Khabsa (WWW, 2016)

Random Forest DBSCAN for USPTO Inventor Name Disambiguation. - Kunho Kim; Madian Khabsa; C. Lee Giles (CoRR, 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)

Deep Sequential Models for Task Satisfaction Prediction. - Rishabh Mehrotra; Ahmed Hassan Awadallah; Milad Shokouhi; Emine Yilmaz; Imed Zitouni; Ahmed El Kholy; Madian Khabsa (CIKM, 2017)

Building Natural Language Interfaces to Web APIs. - Yu Su 001; Ahmed Hassan Awadallah; Madian Khabsa; Patrick Pantel; Michael Gamon; Mark J. Encarnación (CIKM, 2017)

User Interaction Sequences for Search Satisfaction Prediction. - Rishabh Mehrotra; Imed Zitouni; Ahmed Hassan Awadallah; Ahmed El Kholy; Madian Khabsa (SIGIR, 2017)

Actionable Email Intent Modeling with Reparametrized RNNs. - Chu-Cheng Lin; Dongyeop Kang; Michael Gamon; Madian Khabsa; Ahmed Hassan Awadallah; Patrick Pantel (CoRR, 2017)

Characterizing and Supporting Question Answering in Human-to-Human Communication. - Xiao Yang 004; Ahmed Hassan Awadallah; Madian Khabsa; Wei Wang 238; Miaosen Wang (SIGIR, 2018)

Identifying Task Boundaries in Digital Assistants. - Madian Khabsa; Ahmed El Kholy; Ahmed Hassan Awadallah; Imed Zitouni; Milad Shokouhi (WWW (Companion Volume), 2018)

Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching. - Xiao Yang 004; Miaosen Wang; Wei Wang 238; Madian Khabsa; Ahmed Hassan Awadallah (CoRR, 2018)

Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching. - Xiao Yang 004; Madian Khabsa; Miaosen Wang; Wei Wang 238; Ahmed Hassan Awadallah; Daniel Kifer; C. Lee Giles (AAAI, 2019)

Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder. - Ryan Y. Benmalek; Madian Khabsa; Suma Desu; Claire Cardie; Michele Banko (ACL (1), 2019)

Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism. - Ryan Y. Benmalek; Madian Khabsa; Suma Desu; Claire Cardie; Michele Banko (CoRR, 2019)

To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks. - Sinong Wang; Madian Khabsa; Hao Ma 001 (ACL, 2020)

Language Models as Fact Checkers? - Nayeon Lee; Belinda Z. Li; Sinong Wang; Wen-tau Yih; Hao Ma 001; Madian Khabsa (CoRR, 2020)

Linformer: Self-Attention with Linear Complexity. - Sinong Wang; Belinda Z. Li; Madian Khabsa; Han Fang; Hao Ma 001 (CoRR, 2020)

To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks. - Sinong Wang; Madian Khabsa; Hao Ma 001 (CoRR, 2020)

CLEAR: Contrastive Learning for Sentence Representation. - Zhuofeng Wu 001; Sinong Wang; Jiatao Gu; Madian Khabsa; Fei Sun; Hao Ma 001 (CoRR, 2020)

Studying Strategically: Learning to Mask for Closed-book QA. - Qinyuan Ye; Belinda Z. Li; Sinong Wang; Benjamin Bolte; Hao Ma 001; Wen-tau Yih; Xiang Ren 001; Madian Khabsa (CoRR, 2020)

On the Influence of Masking Policies in Intermediate Pre-training. - Qinyuan Ye; Belinda Z. Li; Sinong Wang; Benjamin Bolte; Hao Ma 001; Wen-tau Yih; Xiang Ren 001; Madian Khabsa (EMNLP (1), 2021)

On Unifying Misinformation Detection. - Nayeon Lee; Belinda Z. Li; Sinong Wang; Pascale Fung; Hao Ma 001; Wen-tau Yih; Madian Khabsa (NAACL-HLT, 2021)

Towards Few-Shot Fact-Checking via Perplexity. - Nayeon Lee; Yejin Bang; Andrea Madotto; Madian Khabsa; Pascale Fung (CoRR, 2021)

Entailment as Few-Shot Learner. - Sinong Wang; Han Fang; Madian Khabsa; Hanzi Mao; Hao Ma 001 (CoRR, 2021)

Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. - Qinyuan Ye; Madian Khabsa; Mike Lewis; Sinong Wang; Xiang Ren 001; Aaron Jaech (CoRR, 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)

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. - Yuning Mao; Lambert Mathias; Rui Hou; Amjad Almahairi; Hao Ma 001; Jiawei Han 001; Scott Yih; Madian Khabsa (ACL (1), 2022)

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. - Qifan Wang 001; Li Yang; Jingang Wang; Jitin Krishnan; Bo Dai 001; Sinong Wang; Zenglin Xu; Madian Khabsa; Hao Ma 001 (EMNLP (Findings), 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 (NAACL-HLT, 2022)

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. - Qinyuan Ye; Madian Khabsa; Mike Lewis; Sinong Wang; Xiang Ren 001; Aaron Jaech (NAACL-HLT, 2022)

Uniform Masking Prevails in Vision-Language Pretraining. - Siddharth Verma; Yuchen Lu; Rui Hou; Hanchao Yu; Nicolas Ballas; Madian Khabsa; Amjad Almahairi (CoRR, 2022)

Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. - Suzanna Sia; Anton Belyy; Amjad Almahairi; Madian Khabsa; Luke Zettlemoyer; Lambert Mathias (AAAI, 2023)

Residual Prompt Tuning: improving prompt tuning with residual reparameterization. - Anastasia Razdaibiedina; Yuning Mao; Madian Khabsa; Mike Lewis; Rui Hou; Jimmy Ba; Amjad Almahairi (ACL (Findings), 2023)

MUSTIE: Multimodal Structural Transformer for Web Information Extraction. - Qifan Wang 001; Jingang Wang; Xiaojun Quan; Fuli Feng; Zenglin Xu; Shaoliang Nie; Sinong Wang; Madian Khabsa; Hamed Firooz; Dongfang Liu (ACL (1), 2023)

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. - Li Yang; Qifan Wang 001; Jingang Wang; Xiaojun Quan; Fuli Feng; Yu Chen 022; Madian Khabsa; Sinong Wang; Zenglin Xu; Dongfang Liu (ACL (Findings), 2023)

Generating Hashtags for Short-form Videos with Guided Signals. - Tiezheng Yu; Hanchao Yu; Davis Liang; Yuning Mao; Shaoliang Nie; Po-Yao Huang 001; Madian Khabsa; Pascale Fung; Yi-Chia Wang (ACL (1), 2023)

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. - Jaehyung Kim 001; Yuning Mao; Rui Hou; Hanchao Yu; Davis Liang; Pascale Fung; Qifan Wang 001; Fuli Feng; Lifu Huang; Madian Khabsa (EMNLP (Findings), 2023)

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. - Davis Liang; Hila Gonen; Yuning Mao; Rui Hou; Naman Goyal 001; Marjan Ghazvininejad; Luke Zettlemoyer; Madian Khabsa (EMNLP, 2023)

Progressive Prompts: Continual Learning for Language Models. - Anastasia Razdaibiedina; Yuning Mao; Rui Hou; Madian Khabsa; Mike Lewis; Amjad Almahairi (ICLR, 2023)

SVT: Supertoken Video Transformer for Efficient Video Understanding. - Chenbin Pan; Rui Hou; Hanchao Yu; Qifan Wang 001; Senem Velipasalar; Madian Khabsa (CoRR, 2023)

MMViT: Multiscale Multiview Vision Transformers. - Yuchen Liu; Natasha Ong; Kaiyan Peng; Bo Xiong; Qifan Wang 001; Rui Hou; Madian Khabsa; Kaiyue Yang; David Liu; Donald S. Williamson; Hanchao Yu (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; et al. (CoRR, 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)

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 001; Abhinandan Krishnan; Luke Zettlemoyer; Madian Khabsa (ACL (1), 2024)

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. - Suyu Ge; Chunting Zhou; Rui Hou; Madian Khabsa; Yi-Chia Wang; Qifan Wang 001; Jiawei Han 001; Yuning Mao (NAACL-HLT, 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; et al. (NAACL-HLT, 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; et al. (CoRR, 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 001; Sinong Wang (CoRR, 2024)

On the Equivalence of Graph Convolution and Mixup. - Xiaotian Han; Hanqing Zeng; Yu Chen 022; Shaoliang Nie; Jingzhou Liu; Kanika Narang; Zahra Shakeri; Karthik Abinav Sankararaman; Song Jiang 002; Madian Khabsa; Qifan Wang 001; Xia Hu 001 (Trans. Mach. Learn. Res., 2024)

Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder. - Xianjun Yang; Shaoliang Nie; Lijuan Liu; Suchin Gururangan; Ujjwal Karn; Rui Hou; Madian Khabsa; Yuning Mao (CoRR, 2025)

High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning. - Tim Franzmeyer; Archie Sravankumar; Lijuan Liu; Yuning Mao; Rui Hou; Sinong Wang; Jakob N. Foerster; Luke Zettlemoyer; Madian Khabsa (CoRR, 2025)

Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. - Zhiyang Xu; Jiuhai Chen; Zhaojiang Lin; Xichen Pan; Lifu Huang; Tianyi Zhou 001; Madian Khabsa; Qifan Wang 001; Di Jin; Michihiro Yasunaga; Lili Yu; Xi Victoria Lin; et al. (CoRR, 2025)