FeedEval: Pedagogically Aligned Evaluation of LLM-Generated Essay Feedback (2026.findings-acl)
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| Challenge: | Recent research emphasizes the generation of high-quality feedback that provides justification and actionable guidance. |
| Approach: | They propose an LLM-based framework for evaluating LLM feedback along three dimensions: specificity, helpfulness, and validity. |
| Outcome: | The proposed framework evaluates LLM-generated feedback along three dimensions: specificity, helpfulness, and validity. |
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| Challenge: | Existing work on automated essay scoring has focused on holistic scoring, but there is limited annotated corpus of essays with thesis strength scores. |
| Approach: | They propose a scoring rubric for persuasive essay quality and annotate corpus of essays with thesis strength scores. |
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| Challenge: | Existing evaluation protocols for text generation suffer from rating inconsistencies . lexical overlap-based metrics align poorly with human judgments . |
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Learning to Summarize from LLM-generated Feedback (2025.naacl-long)
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| Challenge: | Developing effective text summarizers remains a challenge due to issues like unfaithful statements, key information omissions, and verbosity. |
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LLMs can Perform Multi-Dimensional Analytic Writing Assessments: A Case Study of L2 Graduate-Level Academic English Writing (2025.acl-long)
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| Challenge: | a growing number of studies have indicated the general usefulness of LLMs for automated writing assessments. |
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CEAES: Bidirectional Reinforcement Learning Optimization for Consistent and Explainable Essay Assessment (2025.acl-long)
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| Challenge: | Current automated essay quality assessment systems treat score prediction and feedback generation as separate tasks. |
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RepEval: Effective Text Evaluation with LLM Representation (2024.emnlp-main)
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Shuqian Sheng, Yi Xu, Tianhang Zhang, Zanwei Shen, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xiaoying Gan, Xinbing Wang, Chenghu Zhou
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HoWToBench: Holistic Evaluation for LLM’s Capability in Human-level Writing using Tree of Writing (2026.acl-long)
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Andrew Zhuoer Feng, Cunxiang Wang, Yu Luo, Lin Fan, Irene Zhou, Zikang Wang, Xiaotao Gu, Jie Tang, Hongning Wang, Minlie Huang
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Help Me Write a Story: Evaluating LLMs’ Ability to Generate Writing Feedback (2025.acl-long)
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ReviewEval: An Evaluation Framework for AI-Generated Reviews (2025.findings-emnlp)
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| Challenge: | escalating volume of academic research necessitates innovative approaches to peer review . authors propose reviewEval, ReviewAgent and ReviewEval to improve on existing reviews . |
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Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews (2025.emnlp-main)
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Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, Nayoung Kim, Hyunseung Lim, Ji Yong Cho, Hwajung Hong, Moontae Lee, Juho Kim
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