The Future of Machine Learning Data Practices and Repositories at ICLR 2025

Accepted papers (12)

Fetched from OpenReview (v2) on 2026-06-10.

1. ☆A Guide to Misinformation Detection Data and Evaluation

   Camille Thibault, Jacob-Junqi Tian, Gabrielle Péloquin-Skulski, Taylor Lynn Curtis, Florence Laflamme, James Zhou, Yuxiang Guan, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine

2. ☆AutoML Benchmark with shorter time constraints and early stopping

   Israel Campero Jurado, Pieter Gijsbers, Joaquin Vanschoren

3. ☆Data Curation for Pluralistic Alignment

   Dalia Ali, Aysenur Kocak, Dora Zhao, Allison Koenecke, Orestis Papakyriakopoulos

4. ☆DRUPI: Dataset Reduction Using Privileged Information

   Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang

5. ☆Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluation

   Yucheng Li

6. ☆Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data

   Henrik Nolte, Michèle Finck, Kristof Meding

7. ☆Rethinking Dataset Pruning From A Generalization Perspective

   Furui Xu, Shaobo Wang, Luo Zhongwei, Linfeng Zhang

8. ☆Revisiting Multi-Modal LLM Evaluation

   Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Singh Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan

9. ☆The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications

   Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad Kording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar

10. ☆Towards Operationalizing Right to Data Protection

    Simra Shahid, Abhinav Java, Chirag Agarwal

11. ☆Tracing Scientific Evolution: A 30-Year Cross-disciplinary Analysis

    Yiqiao Jin, Yijia Xiao, Yiyang Wang, Jindong Wang

12. ☆Unreflected Use of Tabular Data Repositories Can Undermine Research Quality

    Andrej Tschalzev, Lennart Purucker, Stefan Lüdtke, Frank Hutter, Christian Bartelt, Heiner Stuckenschmidt