Aleksandar Shtedritski

22 papers A* 4Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dynamic Classifier-Free Diffusion Guidance via Online Feedback.
CoRR
Pinelopi Papalampidi, Olivia Wiles, Ira Ktena, Aleksandar Shtedritski, Emanuele Bugliarello, Ivana Kajic, Isabela Albuquerque, Aida Nematzadeh
2025 J jnl
SynCity: Training-Free Generation of 3D Worlds.
CoRR
Paul Engstler, Aleksandar Shtedritski, Iro Laina, Christian Rupprecht, Andrea Vedaldi
2024 J jnl
HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits.
CoRR
Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
2024 — conf
HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits.
ACL (Findings)
Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, João F. Henriques, Jakob N. Foerster
2024 — conf
SHIC: Shape-Image Correspondences with No Keypoint Supervision.
ECCV (37)
Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
2024 J jnl
SHIC: Shape-Image Correspondences with no Keypoint Supervision.
CoRR
Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
2024 J jnl
What an Elegant Bridge: Multilingual LLMs are Biased Similarly in Different Languages.
CoRR
Viktor Mihaylov, Aleksandar Shtedritski
2023 J jnl
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets.
CoRR
Brandon Smith, Miguel Farinha, Siobhan Mackenzie Hall, Hannah Rose Kirk, Aleksandar Shtedritski, Max Bain
2023 A* conf
BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology.
EMNLP
Odhran O'Donoghue, Aleksandar Shtedritski, John Ginger, Ralph Abboud, Ali Essa Ghareeb, Samuel G. Rodriques
2023 J jnl
BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology.
CoRR
Odhran O'Donoghue, Aleksandar Shtedritski, John Ginger, Ralph Abboud, Ali Essa Ghareeb, Justin Booth, Samuel G. Rodriques
2023 — conf
Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation.
ICCV (Workshops)
Aleksandar Shtedritski, Andrea Vedaldi, Christian Rupprecht
2023 J jnl
PaperQA: Retrieval-Augmented Generative Agent for Scientific Research.
CoRR
Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski, Sam Cox, Samuel G. Rodriques, Andrew D. White
2023 A* conf
VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution.
NeurIPS
Siobhan Mackenzie Hall, Fernanda Gonçalves Abrantes, Hanwen Zhu, Grace Sodunke, Aleksandar Shtedritski, Hannah Rose Kirk
2023 J jnl
VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution.
CoRR
Siobhan Mackenzie Hall, Fernanda Gonçalves Abrantes, Hanwen Zhu, Grace Sodunke, Aleksandar Shtedritski, Hannah Rose Kirk
2023 A* conf
What does CLIP know about a red circle? Visual prompt engineering for VLMs.
ICCV
Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
2023 J jnl
What does CLIP know about a red circle? Visual prompt engineering for VLMs.
CoRR
Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
2022 — conf
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning.
AACL/IJCNLP (1)
Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Hannah Kirk, Aleksandar Shtedritski, Max Bain
2022 J jnl
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning.
CoRR
Hugo Berg, Siobhan Mackenzie Hall, Yash Bhalgat, Wonsuk Yang, Hannah Rose Kirk, Aleksandar Shtedritski, Max Bain
2021 A* conf
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models.
NeurIPS
Hannah Rose Kirk, Yennie Jun, Filippo Volpin, Haider Iqbal, Elias Benussi, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki M. Asano
2021 J jnl
How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases.
CoRR
Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki Markus Asano
2021 J jnl
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset.
CoRR
Hannah Rose Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, Yuki Markus Asano
2021 J jnl
Privacy-preserving Object Detection.
CoRR
Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, Yuki Markus Asano