GeezerVison is showing responsible-fm.github.io — ResponsibleFM @ NeurIPS 2025 — Workshop on Socially Responsible and Trustworthy Foundation Models
NeurIPS 2025 Workshop on Socially Responsible and Trustworthy Foundation Models (ResponsibleFM)
Hilton Mexico City Reforma · Mexico City · NeurIPS 2025
About ResponsibleFM
The ResponsibleFM Workshop is an interdisciplinary forum focused on advancing ethical, inclusive, and socially responsible
research in foundation models (language and multimodal). With growing societal impact, we address fairness, accountability,
transparency, and safety throughout model development and deployment—proactively tackling ethical and social risks.
We bring together researchers, practitioners, ethicists, policy-makers, and affected communities to catalyze methods and
best practices ensuring foundation model research serves the common good.
Where
Hilton Mexico City Reforma, Mexico City
(Room: Don Alberto 1)
When
NeurIPS 2025 (Sun 30 Nov 1 p.m. — 8 p.m. CST)
Overview
Key themes and questions we will explore at ResponsibleFM.
Topics
Defining & Measuring Trustworthiness
Rigorous definitions across fairness, safety, truthfulness, privacy, explainability, robustness, and cultural awareness.
Standardized, reproducible evaluation protocols and best practices.
Techniques to Enhance Trustworthiness
Bias mitigation and fairness methods (pre-training & fine-tuning).
Knowledge editing, continual learning, and machine unlearning.
Watermarking and provenance tracking for accountability.
Defenses against adversarial attacks and jailbreaking; safety layers and red teaming.
Deployment & Social Good
Case studies in healthcare, education, public policy, social welfare, environment.
Managing risks in high-stakes applications and maximizing positive impact.
Datasets & Benchmarks
Diverse, inclusive, and ethically curated datasets; consent and representation.
Comprehensive benchmarks for fairness, robustness, privacy, and more.
Format: Single PDF; up to 9 pages main text (references/appendix excluded). The main text must be self-contained.
Style: Use the NeurIPS 2025 LaTeX style file. Include references and supplementary in the same PDF.
Interdisciplinary: Cross-disciplinary submissions (non-CS) are welcome if related to foundation models.
Dual-submission / Non-archival: Ongoing/unpublished work and under-review manuscripts are allowed (respect venue policies). The workshop is non-archival.
Visibility: Submissions and reviews are not public. Only accepted papers will be made public.
Double-blind: Anonymize all materials (including linked code/data). No acknowledgements at submission time.
Awards: We will select one Best Paper and one Outstanding Paper.
We are pleased to announce the accepted papers for the ResponsibleFM workshop. You can view the full list of accepted papers on OpenReview and their posters here.
Copyright Under Fire: The Ethical and Legal Perils of LL Memorization
Event Schedule (CST)
Keynote — Diyi Yang
Keynote — Yoshua Bengio
Keynote — Sanmi Koyejo
Keynote — Rada Mihalcea & Joan Nwatu
Keynote — Denghui Zhang
Oral Presentations
SVIP: Towards Verifiable Inference of Open-source Large Language Models Yifan Sun, Yuhang Li, Yue Zhang, Yuchen Jin, Huan Zhang
MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering Yuexing Hao, Kumail Alhamoud, Haoran Zhang, Hyewon Jeong, Isha Puri, Grace Yan, Philip Torr, Mike Schaekermann, Ariel Dora Stern, Marzyeh Ghassemi
Benchmarking Large Language Models on Safety Risks in Scientific Labs Yujun Zhou, Jingdong Yang, Yue Huang, Kehan Guo, Zoe Emory, Bikram Ghosh, Amita Bedar, Sujay Shekar, Zhenwen Liang, Pinyu chen, Tian Gao, Werner Geyer, Nitesh V Chawla, Xiangliang Zhang
Completion ≠ Collaboration: Scaling Collaborative Effort with Agents🏆 Best Paper Award Shannon Zejiang Shen, Valerie Chen, Ken Gu, Alexis Ross, Zixian Ma, Jillian Ross, Alex Gu, Chenglei Si, Wayne Chi, Andi Peng, Jocelyn J Shen, Ameet Talwalkar, Tongshuang Wu, David Sontag
ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks Zhaorun Chen, Xun Liu, Mintong Kang, Jiawei Zhang, Minzhou Pan, Shuang Yang, Bo Li
Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services Guoheng Sun, Ziyao Wang, Xuandong Zhao, Bowei Tian, Zheyu Shen, Yexiao He, Jinming Xing, Ang Li
LUMINA: Detecting Hallucinations in RAG System with Context–Knowledge Signals Samuel Yeh, Sharon Li, Tanwi Mallick
General Exploratory Bonus for Optimistic Exploration in RLHF Wendi Li, Changdae Oh, Sharon Li
Does higher interpretability imply better utility? A Pairwise Analysis on Sparse Autoencoders🏆 Outstanding Paper Award Xu Wang, Yan Hu, Benyou Wang, Difan Zou
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