Aleksandar Shtedritski

According to our database, Aleksandar Shtedritski authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SHIC: Shape-Image Correspondences with no Keypoint Supervision.

Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi

CoRR, 2024

What an Elegant Bridge: Multilingual LLMs are Biased Similarly in Different Languages.

Viktor Mihaylov, Aleksandar Shtedritski

CoRR, 2024

HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits.

Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster

CoRR, 2024

HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits.

Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

PaperQA: Retrieval-Augmented Generative Agent for Scientific Research.

Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski, Sam Cox, Samuel G. Rodriques, Andrew D. White

CoRR, 2023

BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology.

Odhran O'Donoghue, Aleksandar Shtedritski, John Ginger, Ralph Abboud, Ali Essa Ghareeb, Justin Booth, Samuel G. Rodriques

CoRR, 2023

Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets.

Brandon Smith, Miguel Farinha, Siobhan Mackenzie Hall, Hannah Rose Kirk, Aleksandar Shtedritski, Max Bain

CoRR, 2023

VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution.

Siobhan Mackenzie Hall, Fernanda Gonçalves Abrantes, Hanwen Zhu, Grace Sodunke, Aleksandar Shtedritski, Hannah Rose Kirk

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation.

Aleksandar Shtedritski, Andrea Vedaldi, Christian Rupprecht

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

What does CLIP know about a red circle? Visual prompt engineering for VLMs.

Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology.

Odhran O'Donoghue, Aleksandar Shtedritski, John Ginger, Ralph Abboud, Ali Essa Ghareeb, Samuel G. Rodriques

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning.

Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Wonsuk Yang, Hannah Rose Kirk, Aleksandar Shtedritski, Max Bain

CoRR, 2022

A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning.

Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Hannah Kirk, Aleksandar Shtedritski, Max Bain

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021

Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset.

Hannah Rose Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, Yuki Markus Asano

CoRR, 2021

Privacy-preserving Object Detection.

Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, Yuki Markus Asano

CoRR, 2021

How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases.

Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki Markus Asano

CoRR, 2021

Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models.

Hannah Rose Kirk, Yennie Jun, Filippo Volpin, Haider Iqbal, Elias Benussi, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki M. Asano

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021