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# Works of Findings of the Association for Computational Linguistics

233 works · page 3 of 3 · the most cited first · [← Findings of the Association for Computational…](https://md.research.elamur.ai/free/en/venues/findings/)

[← prev](https://md.research.elamur.ai/free/en/venues/findings/works/page/2/) [1](https://md.research.elamur.ai/free/en/venues/findings/works/) [2](https://md.research.elamur.ai/free/en/venues/findings/works/page/2/) **3**

201. [**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/)
202. [**Speech Act Patterns for Improving Generalizability of Explainable Politeness Detection Models**Ahmad Aljanaideh*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/aljanaideh-2025-speech-act-patterns-improving-generalizability/)
203. [**Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers**Niv Fono, Harel Moshayof, Eldar Karol, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/fono-2024-embible-reconstruction-ancient-hebrew-aramaic/)
204. [**Do UD Trees Match Mention Spans in Coreference Annotations?**Martin Popel, Zdeněk Žabokrtský, Anna Nedoluzhko, et al.*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/popel-2021-do-ud-trees-match-mention/)
205. [**UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu**Farah Adeeba, Brian Dillon, Hassan Sajjad, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/adeeba-2026-urblimp-benchmark-evaluating-linguistic-competence/)
206. [**Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains**Finn Schmidt, Jan Philip Wahle, Terry Ruas, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/schmidt-2026-who-watches-watchmen-humans-disagree/)
207. [**Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations**Shaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/tan-2026-remedy-r-generative-reasoning-machine/)
208. [**Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants**Raphael Rubino, Johanna Gerlach, Jonathan Mutal, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/)
209. [**Temporal Relation Classification in Hebrew**Guy Yanko, Shahaf Pariente, Kfir Bar*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/yanko-2023-temporal-relation-classification-hebrew/)
210. [**Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages**Israel Abebe Azime, Tadesse Destaw Belay, Dietrich Klakow, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/azime-2026-bridging-culture-gap-framework-llm/)
211. [**XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics**Jingxuan Liu, Zhi Qu, Jin Tei, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/liu-2026-xq-meval-dataset-cross-lingual/)
212. [**Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens**Hellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nigatu-2026-evaluating-machine-translation-datasets-low/)
213. [**Uncertainty Quantification for Evaluating Gender Bias in Machine Translation**Ieva Staliunaite, Julius Cheng, Andreas Vlachos*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/staliunaite-2026-uncertainty-quantification-evaluating-gender-bias/)
214. [**Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets**Hanna Yukhymenko, Anton Alexandrov, Martin Vechev*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yukhymenko-2026-recovered-translation-efficient-pipeline-automated/)
215. [**HeBID: Detecting Social Identities in Hebrew-language Political Text**Guy Mor-Lan, Naama Rivlin-Angert, Yael R. Kaplan, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/lan-2025-hebid-detecting-social-identities-hebrew/)
216. [**LCHAIM - Investigating Long Context Reasoning in Hebrew**Ehud Malul, Oriel Perets, Ziv Mor, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/malul-2025-lchaim-investigating-long-context-reasoning/)
217. [**A Classifier of Word-Level Variants in Witnesses of Biblical Hebrew Manuscripts**Iglika Nikolova-Stoupak, Maxime Amblard, Sophie Robert-Hayek, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/stoupak-2025-classifier-word-level-variants-witnesses/)
218. [**Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages**Noam Dahan, Omer Kidron, Gabriel Stanovsky*2026*](https://md.research.elamur.ai/free/en/papers/dahan-2026-leveraging-digitized-newspapers-collect-summarization/)
219. [**Corpora Generation for Urdu Grammatical Error Correction**Syed Ahad, Burhanuddin Aliasghar Ezzi, Muhammad Arsalan Hussain, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ahad-2026-corpora-generation-urdu-grammatical-error/)
220. [**Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMs**Arnav Attri, Anuj Attri*2026*](https://md.research.elamur.ai/free/en/papers/attri-2026-bridging-cognition-affect-emotion-aware/)
221. [**NITI: Neural Plan Concretization for Incremental Execution, Bridging and Trigger Inference from Underspecified Human Policies**Ayan Banerjee, Shomrik Barua Banerjee, Sandeep Gupta*2026*](https://md.research.elamur.ai/free/en/papers/banerjee-2026-niti-neural-plan-concretization-incremental/)
222. [**JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew**Itay Razumenko, Arnon Sturm, Nir Grinberg*2026*](https://md.research.elamur.ai/free/en/papers/razumenko-2026-judgemenot-personalizing-large-language-models/)
223. [**ID10M-JAM: Stress-Testing Idiom Identification Under Challenging Context**Kai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hashiloni-2026-id10m-jam-stress-testing-idiom/)
224. [**MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues**Yaning Pan, Qianqian Xie, Guohui Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pan-2026-mt-video-bench-holistic-video/)
225. [**Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation**Seok Hwan Song, Azher Ahmed Efat, Wallapak Tavanapong*2026*](https://md.research.elamur.ai/free/en/papers/song-2026-assessing-y-axis-influence-bias/)
226. [**On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation**Weichuan Wang, Mingyang Liu, Chen Ma, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/)
227. [**Time-for-Accuracy: Formalizing Chain-of-Thought as an Expansion of Logical Depth**Yue Wang, Zhi Zhang, Wang Xi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-time-accuracy-formalizing-chain-thought/)
228. [**Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies**Qianen Zhang, Zeyu Yang, Satoshi Nakamura*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-redefining-machine-simultaneous-interpretation-incremental/)
229. [**The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks**Yusheng Zhao, Jian Zhao, Tianle Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhao-2026-mark-fades-adaptive-evolutionary-paraphrase/)
230. [**ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech Recognition**Jiaming Zhou, Yujie Guo, Shiwan Zhao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-childtalk-multi-dialect-chinese-child/)
231. [**Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text Simplification**Peng Zhou, Guangxin Li, Xiaoying Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-simplify-pro-two-level-progressive/)
232. [**Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs**William Sheffield, Kanishka Misra, Valentina Pyatkin, et al.*2025*](https://md.research.elamur.ai/free/en/papers/sheffield-2025-is-it-textit-just-semantics/)
233. [**The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment**Ben Hagag, Reut Tsarfaty*2023*](https://md.research.elamur.ai/free/en/papers/hagag-2023-truth-whole-truth-nothing-but/)

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