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ICML 2026 Position Paper Track Submissions

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Position: Interestingness is an Inductive Heuristic for Future Compression Progress
Vincent Herrmann, Jürgen Schmidhuber
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Privacy Is a Claim, Not a Property of Synthetic Data
Jiachen Zhao, Antonia Januszewicz, Taeho Jung
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Current Model Cards Are Insufficient for Downstream Governance of Open-Weight Foundation Models
Sungwon Chae, Keonwoo Kim, Hoki Kim, Jaeyeon Ju, Sangchul Park
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Improved Documentation is Necessary for Benchmarking AI Systems in Geometry
Anna Genevaux, Simon Frieder
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Reliable Reward Design Needs Both Humans and Foundation Models
Nils Malte Kiele, Nana Yaw Owusu Ofori-Ampofo, Yingyue Cao, Joseph Davis Thekinen, Matthew E. Taylor, Samira Ebrahimi Kahou
- 28 Jan 2026 (modified: 24 Jun 2026)
- Submitted to ICML 2026 Position Paper Track
- Readers: Everyone
Position: Carbon Footprint Reporting Should Be Routine in Machine Learning Research
Guan-Ming Chiu
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Machine Learning Research Should Be Guided by Explicit, Pluralistic Models of Human Purpose
Utsav Gupta
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: From Crowdsourcing to Crowd-LLM-Sourcing and LLM-Sourcing
Jiyi Li
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential
Hachem Kadri, Joachim Tomasi, Yuka Hashimoto, Sandrine Anthoine
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: AI Leaderboards Are Underserving the Global South: A Case Study from India
Sourav Banerjee, Saikat Saha
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: If Open Source Is to Win, It Must Go Public
Joshua Z Tan, Nicholas Vincent, Katherine Elkins, Magnus Sahlgren, Joseph Low, David Huu Pham, Sampo Pyysalo, Jenia Jitsev
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track spotlight
- Readers: Everyone
Position: Fairness Failure in Generative Models is an Evaluation Problem
Mariia Vladimirova, Jean-Yves Franceschi, Thibaut Issenhuth
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: ICML Should Treat Hosted LLM APIs as Versioned Dependencies and Require Drift-Audit Artifacts
Utsav Gupta
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Safe AI Should be Resistant and Resilient in an Evolving World
Youbang Sun, Xiang Wang, Jie Fu, Chaochao Lu, Bowen Zhou
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Stop Using Culturally Biased Human Cognitive Benchmarks to Evaluate LLMs
Carla R. Troper
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Towards Responsible Evaluation for Text-to-Speech
Yifan Yang, Hui Wang, Bing Han, Shujie LIU, Jinyu Li, Yong Qin, Xie Chen
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Treat LLM Agents as Programmable Subjects
Gaurav Koley
- 24 Jan 2026 (modified: 24 Jun 2026)
- Submitted to ICML 2026 Position Paper Track
- Readers: Everyone
Position: 'AI Alignment' Encompasses Competing Technical Priorities
Tushita Jha, Rory Švarc, Mateusz Bagiński
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Don't Just "Fix it in Post'': A Science of AI Must Study Learning Dynamics
Stella Biderman, Mohammad Aflah Khan, Niloofar Mireshghallah, Catherine Arnett, Fazl Barez, Naomi Saphra
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track spotlight
- Readers: Everyone
Position: The Age of AI Agents Demands A New Scientific Paradigm To Sustain Trustworthy Science
Belinda Mo
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems
Rishi Sharma, Martijn de Vos, Pradyumna Chari, Ramesh Raskar, Anne-Marie Kermarrec
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Benchmarks Cannot Establish Deployment Readiness of Clinical AI
Haoran Zhang, Hyewon Jeong, Olawale Elijah Salaudeen, Walter Gerych, Nigam Shah, Marzyeh Ghassemi
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Safety Must Precede the Deployment of Open-Ended AI Agents
Ivaxi Sheth, Jan Wehner, Sahar Abdelnabi, Ruta Binkyte, Mario Fritz
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Generative Distributional Integrity against Backdoor Attacks
Shuaibiao Han, Ruiyang Ni, Zhiguo Yang, Changlong Li, Perley Xu, Wenjie Ruan
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track regular
- Readers: Everyone
Position: Stop Automating Peer Review Without Rigorous Evaluation
Joachim Baumann, Jiaxin Pei, Sanmi Koyejo, Dirk Hovy
- Published: 30 Apr 2026, Last Modified: 24 Jun 2026
- ICML 2026 Position Paper Track spotlight
- Readers: Everyone

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