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# Works of Annual Meeting of the Association for Computational Linguistics (ACL)

1,021 works · page 11 of 11 · the most cited first · [← Annual Meeting of the Association for…](https://md.research.elamur.ai/free/en/venues/acl/)

[← prev](https://md.research.elamur.ai/free/en/venues/acl/works/page/10/) [1](https://md.research.elamur.ai/free/en/venues/acl/works/) … [10](https://md.research.elamur.ai/free/en/venues/acl/works/page/10/) **11**

1001. [**PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine Translation**Lorenzo Proietti, Roman Grundkiewicz, Matt Post*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/proietti-2026-pear-pairwise-evaluation-automatic-relative/)
1002. [**Probing for Reading Times**Eleftheria Tsipidi, Samuel Kiegeland, Francesco Ignazio Re, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tsipidi-2026-probing-reading-times/)
1003. [**Rhetorical Questions in LLM Representations: A Linear Probing Study**Louie Hong Yao, Vishesh Anand, Yuan Zhuang, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yao-2026-rhetorical-questions-llm-representations-linear/)
1004. [**Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages**Amir Hossein Yari, Kalmit Kulkarni, Ahmad Raza Khan, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yari-2026-revisiting-metric-reliability-fine-grained/)
1005. [**An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal**Ryo Yoshida, Shinnosuke Isono, Taiga Someya, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yoshida-2026-existence-proof-neural-language-models/)
1006. [**DRInQ: Evaluating Conversational Implicature with Controlled Context Variation**Hirona Jacqueline Arai, Xiang Ren*2026*](https://md.research.elamur.ai/free/en/papers/arai-2026-drinq-evaluating-conversational-implicature-controlled/)
1007. [**Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models**Arash Asgari, Huan Wu, Amirreza Naziri, et al.*2026*](https://md.research.elamur.ai/free/en/papers/asgari-2026-quantifying-metric-model-agreement-bias/)
1008. [**Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text**Refael Shaked Greenfeld, Reut Tsarfaty*2026*](https://md.research.elamur.ai/free/en/papers/greenfeld-2026-beyond-word-boundaries-hebrew-coreference/)
1009. [**Diff4TST: Masked Diffusion Language Model for Text Style Transfer**Xinchen Ma, Gaole He, Yunshi Lan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-diff4tst-masked-diffusion-language-model/)
1010. [**Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning**Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mi-2026-rethinking-idiomaticity-decomposability-hypothesis-evidence/)
1011. [**EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressions**Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.*2026*](https://md.research.elamur.ai/free/en/papers/noel-2026-eiffel-novel-benchmark-measure-bias/)
1012. [**MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation**Parker Riley, Daniel Deutsch, Mara Finkelstein, et al.*2026*](https://md.research.elamur.ai/free/en/papers/riley-2026-mqm-re-annotation-technique-collaborative/)
1013. [**Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation**Klaudia Thellmann, Bernhard Stadler, Michael Färber, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thellmann-2026-quantifying-impact-translation-errors-multilingual/)
1014. [**Diagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine Translation**Ji Hun Wang, Siyu Wu*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-diagnose-then-repair-two-stage/)
1015. [**Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement**Ziyue Yan, Hongying Zan, Xinglin Lyu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-paraphrasing-as-zero-shot-translation/)
1016. [**SWAN: Semantic Watermarking with Abstract Meaning Representation**Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-swan-semantic-watermarking-abstract-meaning/)
1017. [**From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs**Kamyar Zeinalipour, Silvia Severini, Alessia Borghini, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeinalipour-2026-graph-text-back-semantic-fidelity/)
1018. [**Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation**Luke Zhang, Justin Vasselli, Aditya Khan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-dynamic-meta-metrics-source-sentence/)
1019. [**The UD-NewsCrawl Treebank: Reflections and Challenges from a Large-scale Tagalog Syntactic Annotation Project**Angelina Aspra Aquino, Lester James Validad Miranda, Elsie Marie T. Or*2025*](https://md.research.elamur.ai/free/en/papers/aquino-2025-ud-newscrawl-treebank-reflections-challenges/)
1020. [**Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction**Tianze Shi, Lillian Lee*2021*](https://md.research.elamur.ai/free/en/papers/shi-2021-transition-based-bubble-parsing-improvements/)
1021. [**Fluid Construction Grammar for Historical and Evolutionary Linguistics**Pieter Wellens, Remi van Trijp, Katrien Beuls, et al.*2013*](https://md.research.elamur.ai/free/en/papers/wellens-2013-fluid-construction-grammar-historical-evolutionary/)

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