We invite submissions for the workshop "Building Trust in LLMs and LLM Applications: From Guardrails to Explainability to Regulation", to be held at ICLR 2025 in Singapore. For topics of interest, please see the workshop objectives.
Important Dates (All deadlines are AoE):
- Submission Deadline: 10 February 2025 (AoE)
- Notification of Acceptance: March 3 2025 (AoE)
- Camera-Ready Submission: April 3 2025 (AoE)
Deadlines are strict and will not be extended under any circumstances. All deadlines follow the
Anywhere on Earth (AoE) timezone.
Submission Information:
Submissions should be made via the OpenReview platform. All submissions will undergo a rigorous peer-review process. All authors must maintain up-to-date OpenReview profiles to ensure proper conflict-of-interest management and paper matching. Incomplete profiles may result in desk rejection.
Papers must be submitted as a single PDF file:
- Long Papers: at most 9 pages (main text)
- Tiny Papers: between 2 and 4 pages (main text)
- References and appendices are not included in the page limit, but the main text must be self-contained. Reviewers are not required to read beyond the main text.
Please use the standard ICLR template for submissions. Submissions exceeding the page limit will be desk rejected.
Anonymity
The workshop follows a
double-blind review process. Submissions must be anonymized by removing author names, affiliations, and acknowledgments. Prior work should be cited in the third person. Identifying information, including in supplementary materials, must be omitted.
Dual Submission and Non-Archival Policy
Submissions under review at other venues will be accepted, provided they do not breach any dual-submission or anonymity policies of those venues. Submissions will not be indexed or have archival proceedings. We welcome ICML 25 or ACL 25 submissions.
Transparency
By submitting to the Building Trust in LLM's Workshop, authors agree that for all accepted papers, the original submission, reviews, and meta-reviews will be made publicly available on OpenReview.