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details!</p><h2 id=accepted-papers>Accepted Papers</h2><p>We are now happy to announce the list of accepted papers at MLRC 2025 - congratulations to all authors! We will notify you shortly on the camera ready instructions.</p><ul><li><em><a href="https://openreview.net/forum?id=1WqLLYgBNt" target=_blank rel=noopener>Do not trust what you trust: Miscalibration in Semisupervised Learning, Shambhavi Mishra, Balamurali Murugesan</a></em>, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz</li><li><em><a href="https://openreview.net/forum?id=wF3ZtSlOcT" target=_blank rel=noopener>Multivariate Dense Retrieval: A Reproducibility Study under a Memory-limited Setup</a></em>, Georgios Sidiropoulos, Samarth Bhargav, Panagiotis Eustratiadis, Evangelos Kanoulas</li><li><em><a href="https://openreview.net/forum?id=Z0DhgU8fBt" target=_blank rel=noopener>Improving Interpretation Faithfulness for Vision Transformers</a></em>, Izabela Kurek, Wojciech Trejter, Stipe Frkovic, Andro Erdelez</li><li><em><a href="https://openreview.net/forum?id=l5fXUKi8GO" target=_blank rel=noopener>Reassessing Fairness: A Reproducibility Study of NIFA’s Impact on GNN Models</a></em>, Ruben Figge, Sjoerd Gunneweg, Aaron Kuin, Mees Lindeman</li><li><em><a href="https://openreview.net/forum?id=vltzxxhzLU" target=_blank rel=noopener>A reproducibility study of “User-item fairness tradeoffs in recommendations”</a></em>, Sander Honig, Elyanne Oey, Lisanne Wallaard, Sharanda Suttorp, Clara Rus</li><li><em><a href="https://openreview.net/forum?id=VCG6j3tcAA&" target=_blank rel=noopener>Reproducibility study of: &ldquo;Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals&rdquo;</a></em>, Tijs Wiegman, Leyla Perotti, Viktória Pravdová, Ori Brand, Maria Heuss</li><li><em><a href="https://openreview.net/forum?id=15keyzQj9h" target=_blank rel=noopener>On the Generalizability of &ldquo;Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals&rdquo;</a></em>, Asen Dotsinski, Udit Thakur, Marko Ivanov, Mohammad Hafeez Khan, Maria Heuss</li><li><em><a href="https://openreview.net/forum?id=5L90cl0xtf" target=_blank rel=noopener>Revisiting CroPA: A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in Vision-Language Models</a></em>, Atharv Mittal, Agam Pandey, Amritanshu Tiwari, Sukrit Jindal, Swadesh Swain</li><li><em><a href="https://openreview.net/forum?id=MTrhFmkC45" target=_blank rel=noopener>Reproducibility Study of &ldquo;Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation&rdquo;</a></em>, Jose L. García, Karolína Hájková, Maria Marchenko, Carlos Miguel Patiño</li><li><em><a href="https://openreview.net/forum?id=H6DtMcZf5s" target=_blank rel=noopener>Remembering to Be Fair Again: Reproducing Non-Markovian Fairness in Sequential Decision Making</a></em>, Domonkos Nagy, Lohithsai Yadala Chanchu, Krystof Bobek, Xin Zhou, Jacobus Smit</li><li><em><a href="https://openreview.net/forum?id=vKUPXuEzj8" target=_blank rel=noopener>Reproducibility Study of ’SLICE: Stabilized LIME for Consistent Explanations for Image Classification’</a></em>, Aritra Bandyopadhyay, Chiranjeev Bindra, Roan van Blanken, Arijit Ghosh</li><li><em><a href="https://openreview.net/forum?id=kEUvWFHEsn" target=_blank rel=noopener>GNNBoundary: Finding Boundaries and Going Beyond Them</a></em>, Jan Henrik Bertrand, Lukas Bierling, Ina Klaric, Aron Wezenberg</li><li><em><a href="https://openreview.net/forum?id=946cT3Jsq5" target=_blank rel=noopener>Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study</a></em>, Freek Byrman, Emma Kasteleyn, Bart Kuipers, Daniel Uyterlinde</li><li><em><a href="https://openreview.net/forum?id=BVH81SAAh2" target=_blank rel=noopener>Benchmarking LLM Capabilities in Negotiation through Scoreable Games</a></em>, Jorge Carrasco Pollo, Ioannis Kapetangeorgis, Joshua Rosenthal, John Hua Yao</li><li><em><a href="https://openreview.net/forum?id=R20kKdWmVZ" target=_blank rel=noopener>ModernTCN Revisited: A Critical Look at the Experimental Setup in General Time Series Analysis</a></em>, Önder Akacik,Mark Hoogendoorn</li><li><em><a href="https://openreview.net/forum?id=a0rytDAGUD" target=_blank rel=noopener>Reproducibility Study of &ldquo;Improving Interpretation Faithfulness For Vision Transformers&rdquo;</a></em>, Meher Changlani, Benjamin Hucko, Aswin Krishna Mahadevan, Ioannis Kechagias</li><li><em><a href="https://openreview.net/forum?id=5Hwzd48ILf" target=_blank rel=noopener>A Reproducibility Study of Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks</a></em>, Eric Banzuzi, Johanna D&rsquo;ciofalo Khodaverdian, Katharina Deckenbach</li></ul><p>We have sent you an RSVP for attendance and application for travel grant, please check your registered inbox!</p><h2 id=important-dates>Important Dates</h2><ul><li>Submit to TMLR OpenReview: <a href="https://openreview.net/group?id=TMLR" target=_blank rel=noopener>https://openreview.net/group?id=TMLR</a></li><li>Deadline to share your intent to submit a TMLR paper to MLRC: <strong><del>February 21st,
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2025</del></strong></li><li>This form requires that you provide a link to your TMLR submission. Once it
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gets accepted (if it isn’t already), you should then update the same form with
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your paper camera ready details.</li><li>Cutoff deadline for receiving TMLR decisions: <strong><del>June 20th, 2025</del></strong></li><li>Deadline for announcing accepted papers: <strong><del>June 27th, 2025</del></strong></li><li>Conference day: <strong>August 21st, 2025</strong> at Princeton University, NJ, USA</li></ul><h2 id=keynote-speakers>Keynote Speakers</h2><ul><li><a href=https://www.cs.princeton.edu/~arvindn/ target=_blank rel=noopener>Arvind Narayan</a>, Professor of Computer Science at Princeton University & Director of the Center for Information Technology Policy</li><li><a href=https://soumith.ch/ target=_blank rel=noopener>Soumith Chintala</a>, Founder of Pytorch, Research Engineering Lead at Meta</li><li><a href=http://www.jfrankle.com/ target=_blank rel=noopener>Jonathan Frankle</a>, Chief AI Scientist at Databricks</li><li><a href="https://scholar.google.com/citations?user=bO7H0DAAAAAJ&amp;hl=en" target=_blank rel=noopener>Stella Biderman</a>, Executive Director, Eleuther AI</li></ul><h2 id=organizer>Organizer</h2><ul><li><a href=https://ai.princeton.edu/ai-lab target=_blank rel=noopener>The Princeton Laboratory for Artificial Intelligence</a></li></ul><h3 id=co-organizers>Co-Organizers</h3><h4 id=general-chair>General Chair</h4><ul><li><a href=https://koustuvsinha.com target=_blank rel=noopener>Koustuv Sinha</a>, Meta</li></ul><h4 id=program-chairs>Program Chairs</h4><ul><li><a href=https://jzf2101.github.io/ target=_blank rel=noopener>Jessica Forde</a>, Brown University</li><li><a href=https://ai.meta.com/people/1396973444287406/adina-williams/ target=_blank rel=noopener>Adina Williams</a>,
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your paper camera ready details.</li><li>Cutoff deadline for receiving TMLR decisions: <strong><del>June 20th, 2025</del></strong></li><li>Deadline for announcing accepted papers: <strong><del>June 27th, 2025</del></strong></li><li>Conference day: <strong>August 21st, 2025</strong> at Princeton University, NJ, USA</li></ul><h2 id=keynote-speakers>Keynote Speakers</h2><ul><li><a href=https://www.cs.princeton.edu/~arvindn/ target=_blank rel=noopener>Arvind Narayan</a>, Professor of Computer Science at Princeton University & Director of the Center for Information Technology Policy</li><li><a href=https://soumith.ch/ target=_blank rel=noopener>Soumith Chintala</a>, Founder of Pytorch, Research Engineering Lead at Meta</li><li><a href=http://www.jfrankle.com/ target=_blank rel=noopener>Jonathan Frankle</a>, Chief AI Scientist at Databricks</li><li><a href="https://scholar.google.com/citations?user=bO7H0DAAAAAJ&amp;hl=en" target=_blank rel=noopener>Stella Biderman</a>, Executive Director, Eleuther AI</li></ul><h2 id=panel-moderator>Panel Moderator</h2><ul><li><a href=https://www.cs.princeton.edu/~sayashk/ target=_blank rel=noopener>Sayash Kapoor</a></li></ul><h2 id=organizer>Organizer</h2><ul><li><a href=https://ai.princeton.edu/ai-lab target=_blank rel=noopener>The Princeton Laboratory for Artificial Intelligence</a></li></ul><h3 id=co-organizers>Co-Organizers</h3><h4 id=general-chair>General Chair</h4><ul><li><a href=https://koustuvsinha.com target=_blank rel=noopener>Koustuv Sinha</a>, Meta</li></ul><h4 id=program-chairs>Program Chairs</h4><ul><li><a href=https://jzf2101.github.io/ target=_blank rel=noopener>Jessica Forde</a>, Brown University</li><li><a href=https://ai.meta.com/people/1396973444287406/adina-williams/ target=_blank rel=noopener>Adina Williams</a>,
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Meta</li><li><a href=https://ai.meta.com/people/423869000175606/angela-fan/ target=_blank rel=noopener>Angela Fan</a>, Meta</li><li><a href=https://ai.meta.com/people/1148536089838617/michael-rabbat/ target=_blank rel=noopener>Mike Rabbat</a>,
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Meta</li><li><a href="https://scholar.google.fr/citations?user=suSmYHoAAAAJ&amp;hl=en" target=_blank rel=noopener>Naila Murray</a>,
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Meta</li></ul><h4 id=local-chairs>Local Chairs</h4><ul><li><a href=https://www.cs.princeton.edu/~arvindn/ target=_blank rel=noopener>Arvind Narayanan</a>, Princeton

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