Md Rizwan Parvez
Short Bio:
I am a Scientist at Qatar Computing Research Institute. I have completeded my Ph.D. from CS@UCLA and was advised by Prof. Kai-Wei Chang. My research interests span the areas of information retrieval, natural and programming language processing (e.g., English, Python). Previously I was a Research Scientist at Bosch Research, Sunnyvale, USA (Aug 2022 to Dec 2023). During my Ph.D., I got the opportunity to work as a research intern at Google Reserach (Summer 2021), Facebook AI Research (Summer 2020), Salesforce Research (Summer 2019), and Microsoft AI & Research (Summer 2018). I have received my Bachelor’s in Computer Science and Engineering from the CSE@BUET, in September 2015.
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KAGNLP Group (see our members)
Selected Recent Papers
- Publications sorted by topics and year
- Google Scholar.
- VideoCon: Robust video-language alignment via contrast captions, Hritik Bansal, Yonatan Bitton, Idan Szpektor, Md. Rizwan Parvez, and Aditya Grover, in CVPR, 2024. Details
- Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models, Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Md. Rizwan Parvez, Ying Nian Wu, Song-Chun Zhu, and Jianfeng Gao, in NeurIPS, 2023. Details
- DesCo: Learning Object Recognition with Rich Language Descriptions, Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, and Md. Rizwan Parvez, in NeurIPS, 2023. Details
- Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation, Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, and Md. Rizwan Parvez, in EMNLP, 2023. Details
- Kelly is a Warm Person, Joseph is a Role Model: Gender Biases in LLM-Generated Reference Letters, Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, and Nanyun Peng, in EMNLP-Findings, 2023. Details
- CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning, Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, and Md. Rizwan Parvez, in ICCV, 2023. Details
- Controllable Text Generation with Neurally-Decomposed Oracle, Tao Meng, Sidi Lu, Nanyun Peng, and Md. Rizwan Parvez, in NeurIPS, 2022. Details
- Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning, Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, and Md. Rizwan Parvez, in EMNLP, 2021. Details
- Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies, Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff Phillips, and Md. Rizwan Parvez, in EMNLP, 2021. Details
- Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints, Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Md. Rizwan Parvez, in EMNLP, 2017. Details
Selected Awards
- Sloan Research Fellowship, 2021
- Sloan Research Fellowship, 2021
- Sloan Research Fellowship, 2021
- Sloan Research Fellowship, 2021
Selected Talks/Tutorials
- Tutorial: Towards Auxiliary Supervision in NLP
- Tutorial: Language Processing with Auxiliary Supervision and World Knowledge
- Tutorial: Recent Advances in Transferable Representation Learning
- Tutorial: Bias and Fairness in Natural Language Processing
- Tutorial: Learning and Inference in Structured Prediction Models
- Tutorial: Hands-on Tutorial: Quantifying and Reducing Gender Stereotypes in Word Embeddings
About Me
Experience (CV)
Teaching
- Special Topic in AI: Fairness, Accountability, and Transparency in Natural Language Processing, UCLA (Winter 2020)
- Special Topic in AI: Fairness, Accountability, and Transparency in Natural Language Processing, UCLA (Winter 2020)
- Special Topic in AI: Fairness, Accountability, and Transparency in Natural Language Processing, UCLA (Winter 2020)
Service
- Area Chair: EMNLP 25
- Area Chair: EMNLP 25
- Area Chair: EMNLP 25