---
title: "Who cites G-Eval: NLG — page 2 — 1,096 citing papers"
description: "1,096 papers of the Elamur Research library cite «G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/liu-2023-g-eval-nlg-evaluation-gpt/cited-by/page/2/"
---
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# Who cites «G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment»

1,096 papers of our library cite it (of the 149,439 whose bibliographies we read) · 243 with a page here, the most cited first · page 2 of 3 · 101–200 · [← back to «G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment»](https://md.research.elamur.ai/free/en/papers/liu-2023-g-eval-nlg-evaluation-gpt/)

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101. **[MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators](https://md.research.elamur.ai/free/en/papers/lu-2025-mqm-ape-high-quality-error/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Qingyu Lu, Liang Ding, Kanjian Zhang, et al.*2025 · 22 citations*
102. [**QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing**Yating Wu, Ritika Mangla, Greg Durrett, et al.*2023 · 22 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-qudeval-evaluation-questions-under-discussion/)
103. **[M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework](https://md.research.elamur.ai/free/en/papers/chia-2025-m-longdoc-benchmark-multimodal-super/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yew Ken Chia, Liying Cheng, Hou Pong Chan, et al.*2025 · 21 citations*
104. **[CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation](https://md.research.elamur.ai/free/en/papers/ziegler-2025-craft-your-dataset-task-specific/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, et al.*2025 · 20 citations*
105. [**MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding arXiv:2407.04903**Zekun Li, Xianjun Yang, Kyuri Choi, et al.*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-mmsci-dataset-graduate-level-multi/)
106. **[Can Unconfident LLM Annotations Be Used for Confident Conclusions?](https://md.research.elamur.ai/free/en/papers/gligoric-2025-can-unconfident-llm-annotations-be/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kristina Gligorić, Tijana Zrnic, Cinoo Lee, et al.*2025 · 19 citations*
107. [**Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation arXiv:2407.08940**Biqing Qi, Kaiyan Zhang, Kai Tian, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/qi-2024-large-language-models-biomedical-hypothesis/)
108. [**FormalAlign: Automated Alignment Evaluation for Autoformalization arXiv:2410.10135**Jianqiao Lu, Yingjia Wan, Yinya Huang, et al.*2024 · 18 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-formalalign-automated-alignment-evaluation-autoformalization/)
109. **[How to Select Datapoints for Efficient Human Evaluation of NLG Models?](https://md.research.elamur.ai/free/en/papers/zouhar-2025-how-select-datapoints-efficient-human/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vilém Zouhar, Peng Cui, Mrinmaya Sachan*2025 · 17 citations*
110. **[Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions](https://md.research.elamur.ai/free/en/papers/zhao-2025-auto-arena-automating-llm-evaluations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, et al.*2025 · 16 citations*
111. **[Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering](https://md.research.elamur.ai/free/en/papers/sui-2025-can-knowledge-graphs-make-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuan Sui, Yufei He, Zifeng Ding, et al.*2025 · 16 citations*
112. **[Evaluating the Consistency of LLM Evaluators](https://md.research.elamur.ai/free/en/papers/lee-2025-evaluating-consistency-llm-evaluators/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Noah Lee, Jiwoo Hong, James Thorne*2025 · 16 citations*
113. [**LitLLMs, LLMs for Literature Review: Are we there yet? arXiv:2412.15249**Shubham Agarwal, Gaurav Sahu, Abhay Puri, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2024-litllms-llms-literature-review-there/)
114. **[MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems](https://md.research.elamur.ai/free/en/papers/thakur-2025-mirage-bench-automatic-multilingual-benchmark/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nandan Thakur, Suleman Kazi, Ge Luo, et al.*2025 · 15 citations*
115. **[Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings](https://md.research.elamur.ai/free/en/papers/xu-2025-does-context-matter-contextualjudgebench-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Austin Xu, Srijan Bansal, Yifei Ming, et al.*2025 · 14 citations*
116. **[RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/dong-2025-rag-critic-leveraging-automated-critic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanting Dong, Jiajie Jin, Xiaoxi Li, et al.*2025 · 14 citations*
117. **[LaMP-QA: A Benchmark for Personalized Long-form Question Answering](https://md.research.elamur.ai/free/en/papers/salemi-2025-lamp-qa-benchmark-personalized-long/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alireza Salemi, Hamed Zamani*2025 · 12 citations*
118. **[Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas](https://md.research.elamur.ai/free/en/papers/balepur-2025-whose-boat-does-it-float/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nishant Balepur, Vishakh Padmakumar, Fumeng Yang, et al.*2025 · 12 citations*
119. **[JEEM: Vision-Language Understanding in Four Arabic Dialects](https://md.research.elamur.ai/free/en/papers/kadaoui-2026-jeem-vision-language-understanding-four/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Karima Kadaoui, Hanin Atwany, Hamdan Al-Ali, et al.*2026 · 11 citations*
120. **[Understanding LLM Reasoning for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/yuan-2026-understanding-llm-reasoning-abstractive-summarization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haohan Yuan, Haopeng Zhang*2026 · 11 citations*
121. **[ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary](https://md.research.elamur.ai/free/en/papers/li-2025-chatcite-llm-agent-human-workflow/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yutong Li, Lu Chen, Aiwei Liu, et al.*2025 · 11 citations*
122. **[Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs](https://md.research.elamur.ai/free/en/papers/doddapaneni-2025-cross-lingual-auto-evaluation-assessing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Dilip Venkatesh, et al.*2025 · 11 citations*
123. **[MDCure: A Scalable Pipeline for Multi-Document Instruction-Following](https://md.research.elamur.ai/free/en/papers/liu-2025-mdcure-scalable-pipeline-multi-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, et al.*2025 · 11 citations*
124. [**E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models arXiv:2401.15927**Jinchang Hou, Chang Ao, Haihong Wu, et al.*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/hou-2024-e-eval-comprehensive-chinese/)
125. **[Factual Dialogue Summarization via Learning from Large Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2025-factual-dialogue-summarization-learning-large/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Rongxin Zhu, Jey Han Lau, Jianzhong Qi*2025 · 10 citations*
126. **[Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards](https://md.research.elamur.ai/free/en/papers/wei-2025-igniting-creative-writing-small-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaolong Wei, Bo Lu, Xingyu Zhang, et al.*2025 · 10 citations*
127. **[FaithLM: Towards Faithful Explanations for Large Language Models](https://md.research.elamur.ai/free/en/papers/chuang-2026-faithlm-faithful-explanations-large-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, et al.*2026 · 9 citations*
128. **[Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference](https://md.research.elamur.ai/free/en/papers/wang-2025-sibyl-empowering-empathetic-dialogue-generation/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Lanrui Wang, Jiangnan Li, Chenxu Yang, et al.*2025 · 9 citations*
129. **[StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMs](https://md.research.elamur.ai/free/en/papers/yuan-2025-strucsum-graph-structured-reasoning-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haohan Yuan, Sukhwa Hong, Haopeng Zhang*2025 · 9 citations*
130. [**MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences arXiv:2410.02381**Genta Indra Winata, David Anugraha, Lucky Susanto, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/winata-2024-metametrics-calibrating-metrics-generation-tasks/)
131. **[Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions](https://md.research.elamur.ai/free/en/papers/atif-2025-sacred-synthetic-evaluating-llm-reliability/) [Proceedings of the AAAI/ACM Conference on AI Ethics and Society](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/)**Farah Atif, Nursultan Askarbekuly, Kareem Darwish, et al.*2025 · 8 citations*
132. **[DebateQA: Evaluating Question Answering on Debatable Knowledge](https://md.research.elamur.ai/free/en/papers/xu-2026-debateqa-evaluating-question-answering-debatable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rongwu Xu, Xuan Qi, Zehan Qi, et al.*2026 · 7 citations*
133. **[SWE-QA: Can Language Models Answer Repository-level Code Questions?](https://md.research.elamur.ai/free/en/papers/peng-2026-swe-qa-can-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weihan Peng, Yuling Shi, Yuhang Wang, et al.*2026 · 7 citations*
134. **[Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks](https://md.research.elamur.ai/free/en/papers/li-2025-exploring-reliability-large-language-models/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Qintong Li, Leyang Cui, Lingpeng Kong, et al.*2025 · 7 citations*
135. **[Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation](https://md.research.elamur.ai/free/en/papers/moon-2026-don-t-judge-code-its/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiwon Moon, Yerin Hwang, Dongryeol Lee, et al.*2026 · 5 citations*
136. **[Learning to Judge: LLMs Designing and Applying Evaluation Rubrics](https://md.research.elamur.ai/free/en/papers/siro-2026-learning-judge-llms-designing-applying/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Clemencia Siro, Pourya Aliannejadi, Mohammad Aliannejadi*2026 · 5 citations*
137. **[From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations](https://md.research.elamur.ai/free/en/papers/wang-2025-scores-steps-diagnosing-improving-llm/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Benlu Wang, Iris Xia, Yifan Zhang, et al.*2025 · 5 citations*
138. [**mR3: Multilingual Rubric-Agnostic Reward Reasoning Models arXiv:2510.01146**David Anugraha, Shou-Yi Hung, Zilu Tang, et al.*2025 · 5 citations*](https://md.research.elamur.ai/free/en/papers/anugraha-2025-mr3-multilingual-rubric-agnostic-reward/)
139. [**ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity arXiv:2404.12010**Lasal Jayawardena, Prasan Yapa*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/jayawardena-2024-parafusion-large-scale-llm-driven/)
140. **[Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy](https://md.research.elamur.ai/free/en/papers/na-2026-multi-session-client-centered-treatment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hongbin Na, Tao Shen, Shumao Yu, et al.*2026 · 4 citations*
141. **[Can ChatGPT Really Understand Modern Chinese Poetry?](https://md.research.elamur.ai/free/en/papers/wang-2026-can-chatgpt-really-understand-modern/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shanshan Wang, Derek F. Wong, Jingming Yao, et al.*2026 · 3 citations*
142. **[How Long Reasoning Chains Influence LLMs' Judgment of Answer Factuality](https://md.research.elamur.ai/free/en/papers/tu-2026-how-long-reasoning-chains-influence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minzhu Tu, Shiyu Ni, Keping Bi*2026 · 3 citations*
143. **[LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient](https://md.research.elamur.ai/free/en/papers/yuan-2026-llm-powered-benchmark-factory-reliable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peiwen Yuan, Shaoxiong Feng, Yiwei Li, et al.*2026 · 3 citations*
144. **[LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-llmeval-fair-large-scale-longitudinal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ming Zhang, Yujiong Shen, Jingyi Deng, et al.*2026 · 3 citations*
145. **[Stress Testing Factual Consistency Metrics for Long-Document Summarization](https://md.research.elamur.ai/free/en/papers/mujahid-2026-stress-testing-factual-consistency-metrics/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zain Muhammad Mujahid, Dustin Wright, Isabelle Augenstein*2026 · 3 citations*
146. **[Task Matters: Knowledge Requirements Shape LLM Responses to Context–Memory Conflict](https://md.research.elamur.ai/free/en/papers/sun-2026-task-matters-knowledge-requirements-shape/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaiser Sun, Fan Bai, Mark Dredze*2026 · 3 citations*
147. **[Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations](https://md.research.elamur.ai/free/en/papers/zhou-2025-graders-should-cheat-privileged-information/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jin Peng Zhou, Séb Arnold, Nan Ding, et al.*2025 · 3 citations*
148. [**LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For Luxembourgish arXiv:2510.07074**Fred Philippy, Laura Bernardy, Siwen Guo, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/philippy-2025-luxinstruct-cross-lingual-instruction-tuning/)
149. **[A Critical Study of Automatic Evaluation in Sign Language Translation](https://md.research.elamur.ai/free/en/papers/yazdani-2026-critical-study-automatic-evaluation-sign/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shakib Yazdani, Yasser HAMIDULLAH, Cristina España-Bonet, et al.*2026 · 2 citations*
150. **[ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMs](https://md.research.elamur.ai/free/en/papers/vieira-2026-alba-european-portuguese-benchmark-evaluating/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Inês Vieira, Inês Calvo, Iago Paulo, et al.*2026 · 2 citations*
151. **[From Fact to Judgment: Investigating the Impact of Task Framing on LLM Conviction in Dialogue Systems](https://md.research.elamur.ai/free/en/papers/rabbani-2026-fact-judgment-investigating-impact-task/) [International Workshop on Spoken Dialogue System Technology](https://md.research.elamur.ai/free/en/venues/iwsds/)**Parisa Rabbani, Nimet Beyza Bozdag, Dilek Hakkani-Tur*2026 · 2 citations*
152. **[InsightEval: An Expert-Curated Benchmark for Assessing Insight Discovery in LLM-Driven Data Agents](https://md.research.elamur.ai/free/en/papers/zhu-2026-insighteval-expert-curated-benchmark-assessing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghao Zhu, Yuanfeng Song, Xing Chen, et al.*2026 · 2 citations*
153. **[LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization](https://md.research.elamur.ai/free/en/papers/wu-2026-llm-prompt-duel-optimizer-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuanchen Wu, Saurabh Verma, Justin Lee, et al.*2026 · 2 citations*
154. **[NSF-SciFy: Mining the NSF Awards Database for Scientific Claims](https://md.research.elamur.ai/free/en/papers/rao-2026-nsf-scify-mining-nsf-awards/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Delip Rao, Weiqiu You, Eric Wong, et al.*2026 · 2 citations*
155. **[OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-opengenalign-preference-dataset-benchmark-trustworthy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanning Zhang, Juntong Song, Juno Zhu, et al.*2026 · 2 citations*
156. **[When and What to Ask: AskBench and Rubric-Guided RLVR for LLM Clarification](https://md.research.elamur.ai/free/en/papers/zhao-2026-when-what-ask-askbench-rubric/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiale Zhao, Ke Fang, Lu Cheng*2026 · 2 citations*
157. [**AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data arXiv:2507.18442**Rana Alshaikh, Israa Alghanmi, Shelan Jeawak*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alshaikh-2025-aratable-benchmarking-llms-reasoning-understanding/)
158. **[End-to-End Automated Item Generation and Scoring for Adaptive English Writing Assessment with Large Language Models](https://md.research.elamur.ai/free/en/papers/nebhi-2025-end-end-automated-item-generation/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Kamel Nebhi, Amrita Panesar, Hans Bantilan*2025 · 2 citations*
159. **[Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/schreieder-2026-attribution-citation-quotation-survey-evidence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tobias Schreieder, Tim Schopf, Michael Färber*2026 · 1 citation*
160. **[Automated Creativity Evaluation of Language Models Across Open-Ended Tasks](https://md.research.elamur.ai/free/en/papers/sen-2026-automated-creativity-evaluation-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tan Min Sen, Zachary Choy Kit Chun, Syed Ali Redha Alsagoff, et al.*2026 · 1 citation*
161. **[BDI at MEDIQA-EVAL 2026: A ReAct-Style Multimodal Agent for Fine-Grained Medical Response Assessment](https://md.research.elamur.ai/free/en/papers/xu-2026-bdi-mediqa-eval-2026-react/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Justin Xu, Zizheng Zhang, Augustine Luk, et al.*2026 · 1 citation*
162. **[EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-evolvr-self-evolving-pairwise-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.*2026 · 1 citation*
163. **[FaithLens: Detecting and Explaining Faithfulness Hallucination](https://md.research.elamur.ai/free/en/papers/si-2026-faithlens-detecting-explaining-faithfulness-hallucination/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuzheng Si, Qingyi Wang, Haozhe Zhao, et al.*2026 · 1 citation*
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