Madian Khabsa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
12
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models. | Hoang Phan, Xianjun Yang, Yuanshun Yao, Jingyu Zhang, Shengjie Bi, Xiaocheng Tang, Madian Khabsa, Lijuan Liu, Deren Lei |
| 2024 | ACL | 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 |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2023 | AAAI | Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. | Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias |
| 2023 | ACL | Residual Prompt Tuning: improving prompt tuning with residual reparameterization. | Anastasia Razdaibiedina, Yuning Mao, Madian Khabsa, Mike Lewis, Rui Hou, Jimmy Ba, Amjad Almahairi |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | ICLR | Progressive Prompts: Continual Learning for Language Models. | Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi |
| 2022 | ACL | 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 |
| 2022 | EMNLP | 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 |
| 2022 | NAACL | 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 |
| 2022 | NAACL | Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. | Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech |
| 2021 | EMNLP | 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 |
| 2021 | NAACL | On Unifying Misinformation Detection. | Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa |
| 2020 | ACL | To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks. | Sinong Wang, Madian Khabsa, Hao Ma |
| 2019 | AAAI | 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 |
| 2019 | ACL | Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder. | Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko |
| 2018 | WWW | Identifying Task Boundaries in Digital Assistants. | Madian Khabsa, Ahmed El Kholy, Ahmed Hassan Awadallah, Imed Zitouni, Milad Shokouhi |
| 2018 | SIGIR | Characterizing and Supporting Question Answering in Human-to-Human Communication. | Xiao Yang, Ahmed Hassan Awadallah, Madian Khabsa, Wei Wang, Miaosen Wang |
| 2017 | CIKM | Deep Sequential Models for Task Satisfaction Prediction. | Rishabh Mehrotra, Ahmed Hassan Awadallah, Milad Shokouhi, Emine Yilmaz, Imed Zitouni, Ahmed El Kholy, Madian Khabsa |
| 2017 | CIKM | Building Natural Language Interfaces to Web APIs. | Yu Su, Ahmed Hassan Awadallah, Madian Khabsa, Patrick Pantel, Michael Gamon, Mark J. Encarnacin |
| 2017 | SIGIR | User Interaction Sequences for Search Satisfaction Prediction. | Rishabh Mehrotra, Imed Zitouni, Ahmed Hassan Awadallah, Ahmed El Kholy, Madian Khabsa |
| 2016 | CIKM | Learning to Account for Good Abandonment in Search Success Metrics. | Madian Khabsa, Aidan C. Crook, Ahmed Hassan Awadallah, Imed Zitouni, Tasos Anastasakos, Kyle Williams |
| 2016 | KDD | Identifying Earmarks in Congressional Bills. | Ellery Wulczyn, Madian Khabsa, Vrushank Vora, Matthew Heston, Joe Walsh, Christopher Berry, Rayid Ghani |
| 2016 | WWW | Detecting Good Abandonment in Mobile Search. | Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa |
| 2016 | SIGIR | 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 |
| 2015 | WWW | Big Scholarly Data in CiteSeerX: Information Extraction from the Web. | Alexander G. Ororbia II, Jian Wu, Madian Khabsa, Kyle Williams, Clyde Lee Giles |
| 2014 | AAAI | 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 |
| 2014 | IC2E | 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 |
| 2014 | ICDE | Scholarly big data information extraction and integration in the CiteSeer | Kyle Williams, Jian Wu, Sagnik Ray Choudhury, Madian Khabsa, C. Lee Giles |
| 2014 | ICWS | A Web Service for Scholarly Big Data Information Extraction. | Kyle Williams, Lichi Li, Madian Khabsa, Jian Wu, Patrick C. Shih, C. Lee Giles |
| 2012 | CIKM | Entity resolution using search engine results. | Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles |
| 2012 | SIGIR | A Framework for Bridging the Gap Between Open Source Search Tools. | Madian Khabsa, Stephen Carman, Sagnik Ray Choudhury, C. Lee Giles |