Madian Khabsa
Madian Khabsa
GenAI, Meta
Verified email at - Homepage
Cited by
Cited by
Llama 2: Open foundation and fine-tuned chat models
H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ...
arXiv preprint arXiv:2307.09288, 2023
Linformer: Self-attention with linear complexity
S Wang, BZ Li, M Khabsa, H Fang, H Ma
arXiv preprint arXiv:2006.04768, 2020
The number of scholarly documents on the public web
M Khabsa, CL Giles
PloS one 9 (5), e93949, 2014
The CHEMDNER corpus of chemicals and drugs and its annotation principles
M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ...
Journal of cheminformatics 7, 1-17, 2015
Clear: Contrastive learning for sentence representation
Z Wu, S Wang, J Gu, M Khabsa, F Sun, H Ma
arXiv preprint arXiv:2012.15466, 2020
Entailment as few-shot learner
S Wang, H Fang, M Khabsa, H Mao, H Ma
arXiv preprint arXiv:2104.14690, 2021
Citeseerx: Ai in a digital library search engine
J Wu, KM Williams, HH Chen, M Khabsa, C Caragea, S Tuarob, ...
AI Magazine 36 (3), 35-48, 2015
Unipelt: A unified framework for parameter-efficient language model tuning
Y Mao, L Mathias, R Hou, A Almahairi, H Ma, J Han, W Yih, M Khabsa
arXiv preprint arXiv:2110.07577, 2021
Rayyan: a systematic reviews web app for exploring and filtering searches for eligible studies for Cochrane Reviews
A Elmagarmid, Z Fedorowicz, H Hammady, I Ilyas, M Khabsa, M Ouzzani
Evidence-informed public health: opportunities and challenges. Abstracts of …, 2014
Llama guard: Llm-based input-output safeguard for human-ai conversations
H Inan, K Upasani, J Chi, R Rungta, K Iyer, Y Mao, M Tontchev, Q Hu, ...
arXiv preprint arXiv:2312.06674, 2023
Learning to identify relevant studies for systematic reviews using random forest and external information
M Khabsa, A Elmagarmid, I Ilyas, H Hammady, M Ouzzani
Machine Learning 102, 465-482, 2016
Effective long-context scaling of foundation models
W Xiong, J Liu, I Molybog, H Zhang, P Bhargava, R Hou, L Martin, ...
arXiv preprint arXiv:2309.16039, 2023
Language models as fact checkers?
N Lee, BZ Li, S Wang, W Yih, H Ma, M Khabsa
arXiv preprint arXiv:2006.04102, 2020
Progressive prompts: Continual learning for language models
A Razdaibiedina, Y Mao, R Hou, M Khabsa, M Lewis, A Almahairi
arXiv preprint arXiv:2301.12314, 2023
Building natural language interfaces to web apis
Y Su, AH Awadallah, M Khabsa, P Pantel, M Gamon, M Encarnacion
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Towards building a scholarly big data platform: Challenges, lessons and opportunities
Z Wu, J Wu, M Khabsa, K Williams, HH Chen, W Huang, S Tuarob, ...
IEEE/ACM Joint Conference on Digital Libraries, 117-126, 2014
Scholarly big data information extraction and integration in the CiteSeerχ digital library
K Williams, J Wu, SR Choudhury, M Khabsa, CL Giles
2014 IEEE 30th international conference on data engineering workshops, 68-73, 2014
Towards few-shot fact-checking via perplexity
N Lee, Y Bang, A Madotto, M Khabsa, P Fung
arXiv preprint arXiv:2103.09535, 2021
Detecting good abandonment in mobile search
K Williams, J Kiseleva, AC Crook, I Zitouni, AH Awadallah, M Khabsa
Proceedings of the 25th International Conference on World Wide Web, 495-505, 2016
Ackseer: a repository and search engine for automatically extracted acknowledgments from digital libraries
M Khabsa, P Treeratpituk, CL Giles
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries …, 2012
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