INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained
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INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback

23 May 2023

Lei Li

Papers citing "INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback"

8 / 8 papers shown

Title
RAGXplain: From Explainable Evaluation to Actionable Guidance of RAG Pipelines Dvir Cohen Lin Burg Gilad Barkan 2 0 0 18 May 2025
Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts Yifei Yu Qian Zhang Lingfeng Qiao Di Yin Fang Li Jie Wang Zheyu Chen Suncong Zheng Xiaolong Liang Xingchen Sun 44 0 0 07 Apr 2025
Self-Taught Self-Correction for Small Language Models Viktor Moskvoretskii Chris Biemann Irina Nikishina LRM 66 0 0 11 Mar 2025
Are AI Detectors Good Enough? A Survey on Quality of Datasets With Machine-Generated Texts German Gritsai Anastasia Voznyuk Andrey Grabovoy Yury Chekhovich DeLMO 80 1 0 18 Oct 2024
JudgeLM: Fine-tuned Large Language Models are Scalable Judges Lianghui Zhu Xinggang Wang Xinlong Wang ELM ALM 64 112 0 26 Oct 2023
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis Wenda Xu Yi-Lin Tuan Yujie Lu Michael Stephen Saxon Lei Li William Yang Wang 49 22 0 10 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 372 12,081 0 04 Mar 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,505 0 23 Jan 2020