---
title: "Who cites Kilian Q. Weinberger — page 2"
description: "4,122 papers of the Elamur Research library cite the works of Kilian Q."
canonical: "https://research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Kilian Q. Weinberger](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/) / [cited by](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/) / page 2

# Who cites Kilian Q. Weinberger

4,126 citations of their works from 4,122 papers of our library (of the 140,884 whose bibliographies we read) · 284 with a page here, the most cited first · page 2 of 3 · 101–200 · [← Kilian Q. Weinberger](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/)

[← prev](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/) **2** [3](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/page/3/) [next →](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/page/3/)

101. [**PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization**Yidong Wang, Zhuohao Yu, Zhengran Zeng, et al.*2023 · 189 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-pandalm-automatic-evaluation-benchmark-llm/)
102. [**Gradient-based Adversarial Attacks against Text Transformers**Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, et al.*2021 · 187 citations*](https://md.research.elamur.ai/free/en/papers/guo-2021-gradient-based-adversarial-attacks-against/)
103. [**Eliciting Latent Predictions from Transformers with the Tuned Lens**Nora Belrose, Igor Ostrovsky, Lev McKinney, et al.*2023 · 179 citations*](https://md.research.elamur.ai/free/en/papers/belrose-2023-eliciting-latent-predictions-transformers-tuned/)
104. [**Findings of the IWSLT 2022 Evaluation Campaign**Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.*2022 · 177 citations*](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2022-findings-iwslt-2022-evaluation-campaign/)
105. [**Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 174 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/)
106. [**Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity**Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.*2023 · 169 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-factuality-large-language-models/)
107. [**Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-results-wmt21-metrics-shared-task/)
108. [**Neural Syntactic Preordering for Controlled Paraphrase Generation**Tanya Goyal, Greg Durrett*2020 · 167 citations*](https://md.research.elamur.ai/free/en/papers/goyal-2020-neural-syntactic-preordering-controlled-paraphrase/)
109. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 166 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
110. [**Large Language Model Unlearning**Yuanshun Yao, Xiaojun Xu, Yang Liu*2023 · 165 citations*](https://md.research.elamur.ai/free/en/papers/yao-2023-large-language-model-unlearning/)
111. [**Controllable Text Simplification with Explicit Paraphrasing**Mounica Maddela, Fernando Alva-Manchego, Wei Xu*2021 · 164 citations*](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/)
112. [**The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)**Thiago Castro Ferreira, Claire Gardent, Nikolai Ilinykh, et al.*2020 · 163 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2020-2020-bilingual-bi-directional-webnlg/)
113. [**ChatGPT as a Factual Inconsistency Evaluator for Text Summarization**Zheheng Luo, Qianqian Xie, Sophia Ananiadou*2023 · 160 citations*](https://md.research.elamur.ai/free/en/papers/luo-2023-chatgpt-factual-inconsistency-evaluator-text/)
114. [**Findings of the WMT 2020 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2020 · 160 citations*](https://md.research.elamur.ai/free/en/papers/specia-2020-findings-wmt-2020-shared-task-2020-wmt-1-79/)
115. [**Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist**Marzena Karpinska, Mohit Iyyer*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/karpinska-2023-large-language-models-effectively-leverage/)
116. [**The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification**Fernando Alva-Manchego, Carolina Scarton, Lucia Specia*2021 · 156 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2021-un-suitability-automatic-evaluation-metrics/)
117. [**LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding**Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, et al.*2024 · 155 citations*](https://md.research.elamur.ai/free/en/papers/elhoushi-2024-layerskip-enabling-early-exit-inference/)
118. [**Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/)
119. [**ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs**Justin Chen, Swarnadeep Saha, Mohit Bansal*2024 · 154 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-reconcile-round-table-conference-improves/)
120. [**DART: Open-Domain Structured Data Record to Text Generation**Linyong Nan, Dragomir Radev, Rui Zhang, et al.*2020 · 154 citations*](https://md.research.elamur.ai/free/en/papers/nan-2020-dart-open-domain-structured-data/)
121. [**The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models**Junyi Li, Jie Chen, Ruiyang Ren, et al.*2024 · 150 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-dawn-after-dark-empirical-study/)
122. [**Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation**Niels Mundler, Jingxuan He, Slobodan Jenko, et al.*2023 · 150 citations*](https://md.research.elamur.ai/free/en/papers/mundler-2023-self-contradictory-hallucinations-large-language/)
123. [**ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning**Olga Golovneva, Moya Chen, Spencer Poff, et al.*2022 · 149 citations*](https://md.research.elamur.ai/free/en/papers/golovneva-2022-roscoe-suite-metrics-scoring-step/)
124. [**Investigating Pretrained Language Models for Graph-to-Text Generation**Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2021-investigating-pretrained-language-models-graph/)
125. [**Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation**Nuno M. Guerreiro, Elena Voita, André Martins*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-looking-needle-haystack-comprehensive-study/)
126. [**Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification**Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.*2017 · 144 citations*](https://md.research.elamur.ai/free/en/papers/qin-2017-adversarial-connective-exploiting-networks-implicit/)
127. [**Quality-Aware Decoding for Neural Machine Translation**Patrick Fernandes, António Farinhas, Ricardo Rei, et al.*2022 · 143 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/)
128. [**Rethinking embedding coupling in pre-trained language models**Hyung Won Chung, Thibault Févry, Henry Tsai, et al.*2020 · 142 citations*](https://md.research.elamur.ai/free/en/papers/chung-2020-rethinking-embedding-coupling-pre-trained/)
129. [**JudgeLM: Fine-tuned Large Language Models are Scalable Judges**Lianghui Zhu, Xinggang Wang, Xinlong Wang*2023 · 141 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-judgelm-fine-tuned-large-language/)
130. [**On The Evaluation of Machine Translation Systems Trained With Back-Translation**Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.*2020 · 139 citations*](https://md.research.elamur.ai/free/en/papers/edunov-2020-evaluation-machine-translation-systems-trained/)
131. [**Affective and Contextual Embedding for Sarcasm Detection**Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.*2020 · 135 citations*](https://md.research.elamur.ai/free/en/papers/babanejad-2020-affective-contextual-embedding-sarcasm-detection/)
132. [**Few-Shot Self-Rationalization with Natural Language Prompts**Ana Marasovic, Iz Beltagy, Doug Downey, et al.*2022 · 134 citations*](https://md.research.elamur.ai/free/en/papers/marasovic-2022-few-shot-self-rationalization-natural/)
133. [**FLUTE: Figurative Language Understanding through Textual Explanations**Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.*2022 · 131 citations*](https://md.research.elamur.ai/free/en/papers/chakrabarty-2022-flute-figurative-language-understanding-through/)
134. [**MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems**Jakub Macina, Nico Daheim, Sankalan Chowdhury, et al.*2023 · 130 citations*](https://md.research.elamur.ai/free/en/papers/macina-2023-mathdial-dialogue-tutoring-dataset-rich/)
135. [**Learning Compact Metrics for MT**Amy Pu, Hyung Won Chung, Ankur Parikh, et al.*2021 · 130 citations*](https://md.research.elamur.ai/free/en/papers/pu-2021-learning-compact-metrics-mt/)
136. [**Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors**Liyan Tang, Tanya Goyal, Alex Fabbri, et al.*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/tang-2023-understanding-factual-errors-summarization-errors/)
137. [**Generative Judge for Evaluating Alignment**Junlong Li, Shichao Sun, Weizhe Yuan, et al.*2023 · 121 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-generative-judge-evaluating-alignment/)
138. [**Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation**Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.*2022 · 116 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-revisiting-gold-standard-grounding-summarization/)
139. [**LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization**Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.*2023 · 112 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2023-longeval-guidelines-human-evaluation-faithfulness/)
140. [**LENS: A Learnable Evaluation Metric for Text Simplification**Mounica Maddela, Yao Dou, David Heineman, et al.*2023 · 103 citations*](https://md.research.elamur.ai/free/en/papers/maddela-2023-lens-learnable-evaluation-metric-text/)
141. [**UniTE: Unified Translation Evaluation**Yu Wan, Dayiheng Liu, Baosong Yang, et al.*2022 · 100 citations*](https://md.research.elamur.ai/free/en/papers/wan-2022-unite-unified-translation-evaluation/)
142. [**Unbabel's Participation in the WMT20 Metrics Shared Task**Ricardo Rei, Craig Stewart, Ana C Farinha, et al.*2020 · 98 citations*](https://md.research.elamur.ai/free/en/papers/rei-2020-unbabel-s-participation-wmt20-metrics/)
143. [**Generationary or «How We Went beyond Word Sense Inventories and Learned to Gloss»**Michele Bevilacqua, Marco Maru, Roberto Navigli*2020 · 90 citations*](https://md.research.elamur.ai/free/en/papers/bevilacqua-2020-generationary/)
144. [**Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task**Ricardo Rei, Ana C Farinha, Chrysoula Zerva, et al.*2021 · 85 citations*](https://md.research.elamur.ai/free/en/papers/rei-2021-are-references-really-needed-unbabel/)
145. [**Chain-of-Dictionary Prompting Elicits Translation in Large Language Models**Hongyuan Lu, Haoran Yang, Haoyang Huang, et al.*2024 · 81 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-chain-dictionary-prompting-elicits-translation/)
146. [**Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric**Giorgos Vernikos, Brian Thompson, Prashant Mathur, et al.*2022 · 68 citations*](https://md.research.elamur.ai/free/en/papers/vernikos-2022-embarrassingly-easy-document-level-mt/)
147. [**A Fine-Grained Analysis of BERTScore**Michael Hanna, Ondřej Bojar*2021 · 62 citations*](https://md.research.elamur.ai/free/en/papers/hanna-2021-fine-grained-analysis-bertscore/)
148. [**LegalAgentBench: Evaluating LLM Agents in Legal Domain**Haitao Li, Junjie Chen, Jingli Yang, et al.*2025 · 60 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-legalagentbench-evaluating-llm-agents-legal/)
149. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 60 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/)
150. [**Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task**Thibault Sellam, Amy Pu, Hyung Won Chung, et al.*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/sellam-2020-learning-evaluate-translation-beyond-english/)
151. [**DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence**Wei Zhao, Michael Strube, Steffen Eger*2023 · 53 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-discoscore-evaluating-text-generation-bert/)
152. [**TellMeWhy: A Dataset for Answering Why-Questions in Narratives**Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, et al.*2021 · 53 citations*](https://md.research.elamur.ai/free/en/papers/lal-2021-tellmewhy-dataset-answering-why-questions/)
153. [**When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues**Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar, et al.*2022 · 51 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2022-when-did-you-become-so/)
154. [**Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR**Juri Opitz, Anette Frank*2021 · 50 citations*](https://md.research.elamur.ai/free/en/papers/opitz-2021-decomposable-metric-explainable-evaluation-text/)
155. [**Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer**Eleftheria Briakou, Sweta Agrawal, Joel Tetreault, et al.*2021 · 49 citations*](https://md.research.elamur.ai/free/en/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/)
156. [**Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling**Nasser Zalmout, Nizar Habash*2019 · 37 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2019-adversarial-multitask-learning-joint-multi/)
157. [**Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs**Nicolas Boizard, Kevin El Haddad, Celine Hudelot, et al.*2024 · 34 citations*](https://md.research.elamur.ai/free/en/papers/boizard-2024-towards-cross-tokenizer-distillation-universal/)
158. [**Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing**Jaehun Jung, Peter West, Liwei Jiang, et al.*2023 · 33 citations*](https://md.research.elamur.ai/free/en/papers/jung-2023-impossible-distillation-low-quality-model/)
159. [**DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models**Shansan Gong, Mukai Li, Jiangtao Feng, et al.*2023 · 32 citations*](https://md.research.elamur.ai/free/en/papers/gong-2023-diffuseq-v2-bridging-discrete-continuous/)
160. [**ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics**Chantal Amrhein, Nikita Moghe, Liane Guillou*2022 · 29 citations*](https://md.research.elamur.ai/free/en/papers/amrhein-2022-aces-translation-accuracy-challenge-sets/)
161. [**Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets**Nikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.*2025 · 28 citations*](https://md.research.elamur.ai/free/en/papers/moghe-2025-machine-translation-meta-evaluation-through/)
162. [**Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation**Liqiang Jing, Xuemeng Song, Kun Ouyang, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/jing-2023-multi-source-semantic-graph-based/)
163. [**M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation**Zhaopeng Feng, Jiayuan Su, Jiamei Zheng, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/feng-2025-m-mad-multidimensional-multi-agent/)
164. [**A Human Evaluation of AMR-to-English Generation Systems**Emma Manning, Shira Wein, Nathan Schneider*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/manning-2020-human-evaluation-amr-english-generation/)
165. [**Modeling Cross-Cultural Pragmatic Inference with Codenames Duet**Omar Shaikh, Caleb Ziems, William Held, et al.*2023 · 23 citations*](https://md.research.elamur.ai/free/en/papers/shaikh-2023-modeling-cross-cultural-pragmatic-inference/)
166. [**MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks**Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.*2025 · 22 citations*](https://md.research.elamur.ai/free/en/papers/daoud-2025-medarabiq-benchmarking-large-language-models/)
167. [**QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing**Yating Wu, Ritika Mangla, Greg Durrett, et al.*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-qudeval-evaluation-questions-under-discussion/)
168. [**Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !**Zecheng Tang, Pinzheng Wang, Keyan Zhou, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/tang-2023-can-diffusion-model-achieve-better/)
169. [**Elaborative Simplification as Implicit Questions Under Discussion**Yating Wu, William Sheffield, Kyle Mahowald, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-elaborative-simplification-as-implicit-questions/)
170. [**The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results**Simon Mille, Anya Belz, Bernd Bohnet, et al.*2020 · 18 citations*](https://md.research.elamur.ai/free/en/papers/mille-2020-third-multilingual-surface-realisation-shared/)
171. [**Assessing the Cross-linguistic Utility of Abstract Meaning Representation**Shira Wein, Nathan Schneider*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/wein-2024-assessing-cross-linguistic-utility-abstract/)
172. [**Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval**Tianyi Hu, Maria Maistro, Daniel Hershcovich*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-bridging-cultures-kitchen-framework-benchmark/)
173. [**Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation**Shira Wein, Nathan Schneider*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/wein-2024-lost-translationese-reducing-translation-effect/)
174. [**Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics**Stefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/perrella-2024-beyond-correlation-interpretable-evaluation-machine/)
175. [**TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla**Nishat Raihan, Antonios Anastasopoulos, Marcos Zampieri*2026 · 13 citations*](https://md.research.elamur.ai/free/en/papers/raihan-2026-tigercoder-novel-suite-llms-code/)
176. [**SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages?**Senyu Li, Jiayi Wang, Felermino D. M. A. Ali, et al.*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-ssa-comet-do-llms-outperform/)
177. [**Sentiment Analysis for Arabic in Social Media Network: A Systematic Mapping Study**Mohamed Elhag M. Abo, Ram Gopal Raj, Atika Qazi, et al.*2019 · 13 citations*](https://md.research.elamur.ai/free/en/papers/abo-2019-sentiment-analysis-arabic-social-media/)
178. [**A Multi-Task Dataset for Assessing Discourse Coherence in Chinese Essays: Structure, Theme, and Logic Analysis**Hongyi Wu, Xinshu Shen, Man Lan, et al.*2023 · 12 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-multi-task-dataset-assessing-discourse/)
179. [**MORQA: Benchmarking Evaluation Metrics for Medical Open-Ended Question Answering**Wen-wai Yim, Asma Ben Abacha, Zixuan Yu, et al.*2026 · 11 citations*](https://md.research.elamur.ai/free/en/papers/yim-2026-morqa-benchmarking-evaluation-metrics-medical/)
180. [**DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation**Federico Martelli, Stefano Perrella, Niccolò Campolungo, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/martelli-2025-dibimt-gold-evaluation-benchmark-studying/)
181. [**IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions**Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2023-iekg-commonsense-knowledge-graph-idiomatic/)
182. [**Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews**Nils Dycke, Ilia Kuznetsov, Iryna Gurevych*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/dycke-2023-overview-pragtag-2023-low-resource/)
183. [**Edition 2.0 of the PARSEME shared task on multilingual identification and paraphrasing of multiword expressions**Manon Scholivet, Agata Savary, Carlos Ramisch, et al.*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/scholivet-2026-edition-2-0-parseme-shared/)
184. [**Tibyan Corpus: Balanced and Comprehensive Error Coverage Corpus Using ChatGPT for Arabic Grammatical Error Correction**Ahlam Alrehili, Areej Alhothali*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/alrehili-2024-tibyan-corpus-balanced-comprehensive-error/)
185. [**Referenceless Parsing-Based Evaluation of AMR-to-English Generation**Emma Manning, Nathan Schneider*2021 · 9 citations*](https://md.research.elamur.ai/free/en/papers/manning-2021-referenceless-parsing-based-evaluation-amr/)
186. [**Advancing Dialectal Arabic to Modern Standard Arabic Machine Translation**Abdullah Alabdullah, Lifeng Han, Chenghua Lin*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/alabdullah-2025-advancing-dialectal-arabic-modern-standard/)
187. [**Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions**Farah Atif, Nursultan Askarbekuly, Kareem Darwish, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/atif-2025-sacred-synthetic-evaluating-llm-reliability/)
188. [**Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?**Sweta Agrawal, Amin Farajian, Patrick Fernandes, et al.*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/agrawal-2024-assessing-role-context-chat-translation/)
189. [**GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres**Jessica Lin, Amir Zeldes*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-gumsley-evaluating-entity-salience-summarization/)
190. [**The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text**Maged S. Al-Shaibani, Moataz Ahmed*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2025-arabic-ai-fingerprint-stylometric-analysis/)
191. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2024-hesum-novel-dataset-abstractive-text/)
192. [**RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework**Yifan Wang, Vera Demberg*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-rsa-control-pragmatics-grounded-lightweight/)
193. [**OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA**Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/alam-2025-oasis-multilingual-multimodal-dataset-culturally/)
194. [**Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act**Bao Chen, Yuanjie Wang, Zeming Liu, et al.*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-automatic-evaluate-dialogue-appropriateness-dialogue/)
195. [**Stanceosaurus: Classifying Stance Towards Multilingual Misinformation**Jonathan Zheng; Ashutosh Baheti; Tarek Naous; Wei Xu;, Alan Ritter*2022 · 5 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-stanceosaurus-classifying-stance-towards-multilingual/)
196. [**Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation**Shira Wein, Zhuxin Wang, Nathan Schneider*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/wein-2023-measuring-fine-grained-semantic-equivalence/)
197. [**A Human-in/on-the-Loop Framework for Accessible Text Generation**Lourdes Moreno, Paloma Martínez*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/moreno-2026-human-loop-framework-accessible-text/)
198. [**ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark**Sara Ghaboura, Shubham Patle, Ketan More, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/ghaboura-2026-arb-comprehensive-arabic-multimodal-reasoning/)
199. [**Beyond MCQ: An Open-Ended Arabic Cultural QA Benchmark with Dialect Variants**Hunzalah Hassan Bhatti, Firoj Alam*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/bhatti-2026-beyond-mcq-open-ended-arabic/)
200. [**Let's Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence Simplification**Jingshen Zhang, Xin Ying Qiu, Lifang Lu, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2026-let-s-simplify-step-step/)

[← prev](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/) **2** [3](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/page/3/) [next →](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/page/3/)

- [← back to](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/) — Kilian Q. Weinberger