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cs.CL2026
DUALVIEW: Leveraging Broad and Output-Specific Evidence for LLM-based Multi-Output Text Regression
Yiheng Su, Junyi Jessy Li, Matthew Lease
While work on LLM-based regression has largely focused on scalar prediction, multi-output text regression remains less explored. We present DualView, a parameter-efficient approach…
cs.CL2026
RELISH: LLM REgression with a Latent Iterative State Head
Yiheng Su, Matthew Lease
We present RELISH (REgression with a Latent Iterative State Head), a novel, lightweight architecture designed for text regression with large language models. Rather than decoding n…
cs.CL2025
PIE: Performance Interval Estimation for Free-Form Generation Tasks
Chi-Yang Hsu, Alexander Braylan, Yiheng Su +2
Confidence estimation infers a probability for whether each model output is correct or not. While predicting such binary correctness is sensible for tasks with exact answers, free-…