Excited to share that I’ll be presenting SAFER at
#ICLR2026 🇧🇷 🎊
✨ SAFER is a two-stage risk control framework for open-ended QA with LLMs.
Our goal is to move beyond heuristic uncertainty estimates toward statistically rigorous trustworthiness guarantees.
Specifically, we introduce:
• Abstention-aware Sampling, which calibrates the minimum sampling budget needed to satisfy a user-specified risk level.
• Conformalized Filtering, which removes unreliable candidates while preserving coverage guarantees.
Together, SAFER provides controllable miscoverage risk in open-ended generation and takes a step toward more trustworthy LLM deployment.
📌 Poster Session: April 24, 2026 | 3:15–5:45 PM BRT
📍 Pavilion 3, Poster P3-#1806
Authors:
@Ceeqnn @YFan_UCSC @xwang_lk
I’ll be presenting the poster — feel free to stop by and chat if you’re around.
Looking forward to discussions at ICLR!