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Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

J. Jang, S. Kim, B. Lin, Y. Wang, J. Hessel, L. Zettlemoyer, H. Hajishirzi, Y. Choi, and P. Ammanabrolu. CoRR, (2023)

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Andreas Heßelmann

Peter Heßelmann

Benjamin Heßeler

Dominic Heßel

Michael Andreas Heßelmann

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Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity.J. Hessel, L. Lee, and D. Mimno. WWW, page 927-936. ACM, (2017)UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations.W. Zhao, J. Chiu, J. Hwang, F. Brahman, J. Hessel, S. Choudhury, Y. Choi, X. Li, and A. Suhr. CoRR, (2023)CLIPScore: A Reference-free Evaluation Metric for Image Captioning.J. Hessel, A. Holtzman, M. Forbes, R. Bras, and Y. Choi. EMNLP (1), page 7514-7528. Association for Computational Linguistics, (2021)How effective is BERT without word ordering? Implications for language understanding and data privacy.J. Hessel, and A. Schofield. ACL/IJCNLP (2), page 204-211. Association for Computational Linguistics, (2021)Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness.K. Chandu, L. Li, A. Awadalla, X. Lu, J. Park, J. Hessel, L. Wang, and Y. Choi. CoRR, (2024)OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.A. Awadalla, I. Gao, J. Gardner, J. Hessel, Y. Hanafy, W. Zhu, K. Marathe, Y. Bitton, S. Gadre, S. Sagawa and 6 other author(s). CoRR, (2023)UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations.W. Zhao, J. Chiu, J. Hwang, F. Brahman, J. Hessel, S. Choudhury, Y. Choi, X. Li, and A. Suhr. NAACL-HLT, page 8487-8505. Association for Computational Linguistics, (2024)Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!J. Hessel, and L. Lee. EMNLP (1), page 861-877. Association for Computational Linguistics, (2020)VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models.Y. Bitton, H. Bansal, J. Hessel, R. Shao, W. Zhu, A. Awadalla, J. Gardner, R. Taori, and L. Schmidt. NeurIPS, (2023)Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models.O. Weller, B. Durme, D. Lawrie, A. Paranjape, Y. Zhang, and J. Hessel. ICLR, OpenReview.net, (2025)

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Disambiguation of "Hessel, Jack"

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Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

Please choose a person to relate this publication to

Andreas Heßelmann

Peter Heßelmann

Benjamin Heßeler

Dominic Heßel

Michael Andreas Heßelmann

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hessel, Jack"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

Please choose a person to relate this publication to

Andreas Heßelmann

Peter Heßelmann

Benjamin Heßeler

Dominic Heßel

Michael Andreas Heßelmann

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.