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Disambiguation of "Bansal, Mohit"

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Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks.

, , and . ICLR, OpenReview.net, (2024)

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Vikas Bansal

Mohit Sethi

Hossein Mohit

Tripti Shekhar Mohite

Mohit Chamania

 

Other publications of authors with the same name

Evaluation and Ranking of E-Government Websites Using Weighted-Combinative Distance-Based Assessment Approach., and . Int. J. Softw. Innov., 10 (1): 1-15 (2022)ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models., , and . CoRR, (2023)CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation., , , , , and . CoRR, (2023)VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning., , , and . CoRR, (2021)Branch-Solve-Merge Improves Large Language Model Evaluation and Generation., , , , , and . CoRR, (2023)Fine-grained Image Captioning with CLIP Reward., , , , , and . NAACL-HLT (Findings), page 517-527. Association for Computational Linguistics, (2022)Punny Captions: Witty Wordplay in Image Descriptions., , and . NAACL-HLT (2), page 770-775. Association for Computational Linguistics, (2018)Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout., , and . NAACL-HLT (1), page 2610-2621. Association for Computational Linguistics, (2019)Interactive Query-Assisted Summarization via Deep Reinforcement Learning., , , , and . NAACL-HLT, page 2551-2568. Association for Computational Linguistics, (2022)FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization., and . NAACL-HLT, page 1010-1028. Association for Computational Linguistics, (2022)