A Unified Framework to Elicit Structured Feedback for Interpretable Multi-Trait Essay Scoring
Paper recorded by Signals 4 on 2026-08-28 in cs.CL. Abstract reproduced from arXiv; link to the original below.
Published 2026-08-28 on arXiv · recorded by Signals 4 on 2026-08-31
Category: cs.CL · 自然语言处理 · first seen 2026-08-31
Abstract
Multi-trait Automated Essay Scoring (AES) requires rubric-grounded reasoning across interdependent traits, rather than isolated score prediction. Existing feedback-enhanced methods often decouple feedback from scoring or assess traits independently, weakening score--feedback consistency and rubric alignment. We propose HiFTS, a unified autoregressive framework that generates hierarchical CoT feedb
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Cite this page: A Unified Framework to Elicit Structured Feedback for Interpretable Multi-Trait Essay Scoring: the #179 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-unified-framework-to-elicit-structured-feedback-for-interpretable-multi-trait-.html
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