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