---
title: "Who cites Richard S. Zemel — page 6 — 4,143 citing papers"
description: "4,143 papers of the Elamur Research library cite the works of Richard S. Zemel, found in their bibliographies · page 6 of 7 · 501–600; the…"
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---
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# Who cites Richard S. Zemel

4,711 citations of their works from 4,143 papers of our library (of the 149,439 whose bibliographies we read) · 622 with a page here, the most cited first · page 6 of 7 · 501–600 · [← Richard S. Zemel](https://md.research.elamur.ai/free/en/authors/richard-s-zemel/)

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501. **[Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data](https://md.research.elamur.ai/free/en/papers/naous-2021-empathetic-bert2bert-conversational-model-learning/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Tarek Naous, Wissam Antoun, Reem Mahmoud, et al.*2021 · 20 citations*
502. [**Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach**Shafiq Joty, Tasnim Mohiuddin*2018 · 20 citations*](https://md.research.elamur.ai/free/en/papers/joty-2018-modeling-speech-acts-asynchronous-conversations/)
503. [**Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution**Connor Baumler, Rachel Rudinger*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/baumler-2022-recognition-they-them-as-singular/)
504. **[Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/deng-2025-unveiling-language-specific-features-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boyi Deng, Yu Wan, Baosong Yang, et al.*2025 · 18 citations*
505. **[Violet: A Vision-Language Model for Arabic Image Captioning with Gemini Decoder](https://md.research.elamur.ai/free/en/papers/mohamed-2023-violet-vision-language-model-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Abdelrahman Mohamed, Fakhraddin Alwajih, El Moatez Billah Nagoudi, et al.*2023 · 18 citations*
506. **[Comparison of methods for explicit discourse connective identification across various domains](https://md.research.elamur.ai/free/en/papers/scholman-2021-comparison-methods-explicit-discourse-connective/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/)**Merel Scholman, Tianai Dong, Frances Yung, et al.*2021 · 18 citations*
507. **[NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets](https://md.research.elamur.ai/free/en/papers/moller-2020-nlp-north-wnut-2020-task/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Anders Giovanni Møller, Rob van der Goot, Barbara Plank*2020 · 18 citations*
508. **[PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free](https://md.research.elamur.ai/free/en/papers/li-2025-piguard-prompt-injection-guardrail-mitigating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Li, Xiaogeng Liu, Ning Zhang, et al.*2025 · 16 citations*
509. **[Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better](https://md.research.elamur.ai/free/en/papers/liu-2024-does-detectgpt-fully-utilize-perturbation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.*2024 · 16 citations*
510. [**JABER and SABER: Junior and Senior Arabic BERt arXiv:2112.04329**Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2021-jaber-saber-junior-senior-arabic/)
511. **[Automatic Combination of Sample Selection Strategies for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/pecher-2026-automatic-combination-sample-selection-strategies/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Branislav Pecher, Ivan Srba, Maria Bielikova, et al.*2026 · 15 citations*
512. **[Value Profiles for Encoding Human Variation](https://md.research.elamur.ai/free/en/papers/sorensen-2025-value-profiles-encoding-human-variation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Taylor Sorensen, Pushkar Mishra, Roma Patel, et al.*2025 · 15 citations*
513. **[AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters](https://md.research.elamur.ai/free/en/papers/lucy-2024-aboutme-self-descriptions-webpages-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Li Lucy, Suchin Gururangan, Luca Soldaini, et al.*2024 · 15 citations*
514. [**HeRo: RoBERTa and Longformer Hebrew Language Models**Vitaly Shalumov, Harel Haskey*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/shalumov-2023-hero-roberta-longformer-hebrew-language/)
515. [**Zero and Few-shot Semantic Parsing with Ambiguous Inputs arXiv:2306.00824**Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/stengel-eskin-2023-zero-few-shot-semantic-parsing/)
516. **[Prompting for explanations improves Adversarial NLI. Is this true? \Yes\ it is \true\ because ıt weakens superficial cues\](https://md.research.elamur.ai/free/en/papers/kavumba-2023-prompting-explanations-improves-adversarial-nli/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pride Kavumba, Ana Brassard, Benjamin Heinzerling, et al.*2023 · 14 citations*
517. **[New Arabic Medical Dataset for Diseases Classification](https://md.research.elamur.ai/free/en/papers/hammoud-2021-new-arabic-medical-dataset-diseases/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Jaafar Hammoud, Aleksandra Vatian, Natalia Dobrenko, et al.*2021 · 14 citations*
518. **[Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to Artifacts](https://md.research.elamur.ai/free/en/papers/chen-2025-safer-or-luckier-llms-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongyu Chen, Seraphina Goldfarb-Tarrant*2025 · 13 citations*
519. **[AequeVox: Automated Fairness Testing of Speech Recognition Systems](https://md.research.elamur.ai/free/en/papers/rajan-2021-aequevox-automated-fairness-testing-speech/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Sai Sathiesh Rajan; Sakshi Udeshi;, Sudipta Chattopadhyay Singapore University of Technology; Design)*2021 · 13 citations*
520. **[Maintaining Common Ground in Dynamic Environments](https://md.research.elamur.ai/free/en/papers/udagawa-2021-maintaining-common-ground-dynamic-environments/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Takuma Udagawa, Akiko Aizawa*2021 · 13 citations*
521. **[NSURL-2019 Task 8: Semantic Question Similarity in Arabic](https://md.research.elamur.ai/free/en/papers/seelawi-2019-nsurl-2019-task-8-semantic/) [International Workshop on NLP Solutions for Under Resourced Languages co-located with ICNLSP - Short Papers](https://md.research.elamur.ai/free/en/venues/nsurl/)**Haitham Seelawi, Ahmad Mustafa, Hesham Al-Bataineh, et al.*2019 · 13 citations*
522. **[Fast and Effective On-Policy Distillation from Reasoning Prefixes](https://md.research.elamur.ai/free/en/papers/zhang-2026-fast-effective-policy-distillation-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dongxu Zhang, Zhichao Yang, Sepehr Janghorbani, et al.*2026 · 12 citations*
523. **[Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation](https://md.research.elamur.ai/free/en/papers/arias-2025-decoding-decoded-understanding-hyperparameter-effects/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Esteban Garces Arias, Meimingwei Li, Christian Heumann, et al.*2025 · 12 citations*
524. **[PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English](https://md.research.elamur.ai/free/en/papers/chi-2023-plue-language-understanding-evaluation-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, et al.*2023 · 12 citations*
525. [**Evaluating Historical Text Normalization Systems: How Well Do They Generalize?**Alexander Robertson, Sharon Goldwater*2018 · 12 citations*](https://md.research.elamur.ai/free/en/papers/robertson-2018-evaluating-historical-text-normalization-systems/)
526. **[Speciesist Language and Nonhuman Animal Bias in English Masked Language Models](https://md.research.elamur.ai/free/en/papers/takeshita-2022-speciesist-language-nonhuman-animal-bias/) [Information Processing & Management](https://md.research.elamur.ai/free/en/venues/information-processing-management/)**Masashi Takeshita, Rafal Rzepka, Kenji Araki*2022 · 11 citations*
527. **[AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition](https://md.research.elamur.ai/free/en/papers/ahamad-2020-accentdb-database-non-native-english/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Afroz Ahamad, Ankit Anand, Pranesh Bhargava*2020 · 11 citations*
528. **[Automated Progressive Red Teaming](https://md.research.elamur.ai/free/en/papers/jiang-2025-automated-progressive-red-teaming/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Bojian Jiang, Yi Jing, Tong Wu, et al.*2025 · 10 citations*
529. **[AlclaM: Arabic Dialect Language Model](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialect-language-model/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 10 citations*
530. [**Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment arXiv:2411.03417**Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2024-usefulness-llms-author-checklist-assistant/)
531. **[BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2025-belle-bi-level-multi-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Taolin Zhang, Dongyang Li, Qizhou Chen, et al.*2025 · 9 citations*
532. **[MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference](https://md.research.elamur.ai/free/en/papers/sadat-2024-mscinli-diverse-benchmark-scientific-natural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mobashir Sadat, Cornelia Caragea*2024 · 9 citations*
533. **[An Empirical Study of Synthetic Data Generation for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/omura-2024-empirical-study-synthetic-data-generation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kazumasa Omura, Fei Cheng, Sadao Kurohashi*2024 · 8 citations*
534. **[Learning From Arabic Corpora But Not Always From Arabic Speakers: A Case Study of the Arabic Wikipedia Editions](https://md.research.elamur.ai/free/en/papers/alshahrani-2022-learning-arabic-corpora-but-not/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Saied Alshahrani, Esma Wali, Jeanna Matthews*2022 · 8 citations*
535. **[An Evaluation Dataset for Identifying Communicative Functions of Sentences in English Scholarly Papers](https://md.research.elamur.ai/free/en/papers/iwatsuki-2020-evaluation-dataset-identifying-communicative-functions/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kenichi Iwatsuki, Florian Boudin, Akiko Aizawa*2020 · 8 citations*
536. **[Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide](https://md.research.elamur.ai/free/en/papers/szep-2026-fine-tuning-large-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.*2026 · 7 citations*
537. **[The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations](https://md.research.elamur.ai/free/en/papers/soler-2024-impact-word-splitting-semantic-content/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Aina Garí Soler, Matthieu Labeau, Chloé Clavel*2024 · 7 citations*
538. **[Towards more Human-like Language Models based on Contextualizer Pretraining Strategy](https://md.research.elamur.ai/free/en/papers/xiao-2023-more-human-like-language-models/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Chenghao Xiao, G Thomas Hudson, Noura Al Moubayed*2023 · 7 citations*
539. [**Penn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and Analysis**Seth Kulick, Neville Ryant, Beatrice Santorini*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/kulick-2022-penn-helsinki-parsed-corpus-early/)
540. **[A Pragmatics-Centered Evaluation Framework for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/sileo-2022-pragmatics-centered-evaluation-framework-natural/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Damien Sileo, Philippe Muller, Tim Van de Cruys, et al.*2022 · 6 citations*
541. [**Explicit Pairwise Word Interaction Modeling Improves Pretrained Transformers for English Semantic Similarity Tasks arXiv:1911.02847**Yinan Zhang, Raphael Tang, Jimmy Lin*2019 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-explicit-pairwise-word-interaction-modeling/)
542. [**NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic arXiv:1909.09691**Haitham Seelawi, Ahmad Mustafa, Hesham Al-Bataineh, et al.*2019 · 6 citations*](https://md.research.elamur.ai/free/en/papers/seelawi-2019-nsurl-2019-shared-task-8/)
543. **[Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations](https://md.research.elamur.ai/free/en/papers/alsudais-2018-image-classification-arabic-assessing-accuracy/) [IEEE Access](https://md.research.elamur.ai/free/en/venues/ieee-access/)**Abdulkareem Alsudais*2018 · 6 citations*
544. [**HATFormer: Historic Handwritten Arabic Text Recognition with Transformers arXiv:2410.02179**Adrian Chan, Anupam Mijar, Mehreen Saeed, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/chan-2024-hatformer-historic-handwritten-arabic-text/)
545. **[Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns](https://md.research.elamur.ai/free/en/papers/xie-2023-counter-gap-counterfactual-bias-evaluation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, et al.*2023 · 5 citations*
546. **[Measuring the ‘I don't know' Problem through the Lens of Gricean Quantity](https://md.research.elamur.ai/free/en/papers/khayrallah-2021-measuring-i-don-t-know/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Huda Khayrallah, João Sedoc*2021 · 5 citations*
547. **[Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities](https://md.research.elamur.ai/free/en/papers/oh-2026-uncertainty-quantification-llm-agents-foundations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changdae Oh, Seongheon Park, To Eun Kim, et al.*2026 · 4 citations*
548. [**Parsing Early Modern English for Linguistic Search**Seth Kulick, Neville Ryant, Beatrice Santorini*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/kulick-2022-parsing-early-modern-english-linguistic/)
549. **[FANCY: A Diagnostic Data-Set for NLI Models](https://md.research.elamur.ai/free/en/papers/rocchietti-2021-fancy-diagnostic-data-set-nli/) [Italian Conference on Computational Linguistics](https://md.research.elamur.ai/free/en/venues/clicit/)**Guido Rocchietti, Flavia Achena, Giuseppe Marziano, et al.*2021 · 4 citations*
550. **[IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets](https://md.research.elamur.ai/free/en/papers/ohashi-2020-idsou-wnut-2020-task-2/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Sora Ohashi, Tomoyuki Kajiwara, Chenhui Chu, et al.*2020 · 4 citations*
551. **[How Quantization Shapes Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/marcuzzi-2026-how-quantization-shapes-bias-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Federico Marcuzzi, Xuefei Ning, Roy Schwartz, et al.*2026 · 3 citations*
552. **[Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models](https://md.research.elamur.ai/free/en/papers/wang-2026-outcome-accuracy-is-not-enough/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Binghai Wang, Yantao Liu, Yuxuan Liu, et al.*2026 · 3 citations*
553. **[Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context](https://md.research.elamur.ai/free/en/papers/bartl-2025-adapting-psycholinguistic-research-llms-gender/) [Workshop on Gender Bias in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/gebnlp/)**Marion Bartl, Thomas Brendan Murphy, Susan Leavy*2025 · 3 citations*
554. **[Averroes at ImageEval 2025 Shared Task: Advancing Arabic Image Captioning with Augmentation and Two-Stage Generation](https://md.research.elamur.ai/free/en/papers/saeed-2025-averroes-imageeval-2025-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mariam Saeed, Sarah Elshabrawy, Abdelrahman Hagrass, et al.*2025 · 3 citations*
555. [**Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model arXiv:2502.05312**Ahlam Alrehili, Areej Alhothali*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-towards-development-balanced-synthetic-data/)
556. [**From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey arXiv:2108.11451**Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/marra-2021-statistical-relational-neurosymbolic-artificial/)
557. **[Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts](https://md.research.elamur.ai/free/en/papers/ziakas-2026-red-bandit-test-time-adaptation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Christos Ziakas, Nicholas Loo, Nishita Jain, et al.*2026 · 2 citations*
558. **[When Do “More Contexts” Help with Sarcasm Recognition?](https://md.research.elamur.ai/free/en/papers/nimase-2024-when-do-more-contexts-help/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ojas Nimase, Sanghyun Hong*2024 · 2 citations*
559. **[R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasm](https://md.research.elamur.ai/free/en/papers/sharma-2022-r2d2-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mayukh Sharma, Ilanthenral Kandasamy, Vasantha W B*2022 · 2 citations*
560. [**Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns arXiv:2201.07614**Reto Gubelmann, Siegfried Handschuh*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/gubelmann-2022-uncovering-more-shallow-heuristics-probing/)
561. **[Similarity or deeper understanding? Analyzing the TED-Q dataset of evoked questions](https://md.research.elamur.ai/free/en/papers/westera-2020-similarity-or-deeper-understanding-analyzing/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Matthijs Westera, Jacopo Amidei, Laia Mayol*2020 · 2 citations*
562. **[Farhan Nafis Rayhan at SemEval-2026 Task 13: Supervised Contrastive Learning Approach with Gated Multiclass Decomposition Ensemble Architecture for Code Authorship Identification](https://md.research.elamur.ai/free/en/papers/rayhan-2026-farhan-nafis-rayhan-semeval-2026/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Farhan Rayhan, Fariska Ruskanda*2026 · 1 citation*
563. **[Hi-SEMFLOW: Lie Algebra–Based Semantic Flow for Span-Level Informal Language Identification in Hindi](https://md.research.elamur.ai/free/en/papers/ravikiran-2026-hi-semflow-lie-algebra-based/) [workshop on Challenges in Processing South Asian Languages](https://md.research.elamur.ai/free/en/venues/chipsal/)**Manikandan Ravikiran, Tanmay Tiwari, Vibhu Gupta, et al.*2026 · 1 citation*
564. **[Logic Haystacks: Probing LLMs' Long-Context Logical Reasoning (Without Easily Identifiable Unrelated Padding)](https://md.research.elamur.ai/free/en/papers/sileo-2026-logic-haystacks-probing-llms-long/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Damien Sileo*2026 · 1 citation*
565. **[NCL&HKU-NarrSim at SemEval-2026 Task 4: Aspect-Based Agents and Supervised Contrastive Embeddings for Narrative Similarity](https://md.research.elamur.ai/free/en/papers/xu-2026-ncl-hku-narrsim-semeval-2026/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jianfei Xu, Ting Zhu, Mingyang Chen, et al.*2026 · 1 citation*
566. **[RATE: Reviewer Profiling and Annotation-free Training for Expertise Ranking in Peer Review Systems](https://md.research.elamur.ai/free/en/papers/liu-2026-rate-reviewer-profiling-annotation-free/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weicong Liu, Zixuan Yang, Yibo Zhao, et al.*2026 · 1 citation*
567. **[Reference-Free Evaluation of Taxonomies](https://md.research.elamur.ai/free/en/papers/wullschleger-2026-reference-free-evaluation-taxonomies/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pascal Wullschleger, Majid Zarharan, Donnacha Daly, et al.*2026 · 1 citation*
568. **[Specializing Large Models for Oracle Bone Script Interpretation via Component-Grounded Multimodal Knowledge Augmentation](https://md.research.elamur.ai/free/en/papers/zhang-2026-specializing-large-models-oracle-bone/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianing Zhang, Runan Li, Honglin Pang, et al.*2026 · 1 citation*
569. **[Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/oh-2026-template-assisted-contrastive-learning-task/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minsik Oh, Jiwei Li, Guoyin Wang*2026 · 1 citation*
570. **[Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's Capabilities](https://md.research.elamur.ai/free/en/papers/liu-2026-think-sentences-explicit-sentence-boundaries/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhichen Liu, Yongyuan Li, Yang Xu*2026 · 1 citation*
571. **[VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2026-visret-visualization-improves-knowledge-intensive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Di Wu, Yixin Wan, Kai-Wei Chang*2026 · 1 citation*
572. **[ArGAN: Arabic Gender, Ability, and Nationality Dataset for Evaluating Biases in Large Language Models](https://md.research.elamur.ai/free/en/papers/aly-2025-argan-arabic-gender-ability-nationality/) [Workshop on Gender Bias in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/gebnlp/)**Ranwa Aly, Yara Allam, Rana Gaber, et al.*2025 · 1 citation*
573. [**AlcLaM: Arabic Dialectal Language Model arXiv:2407.13097**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
574. **[A Novel Synthetic Dataset for Few-Shot Legal Relation Extraction in German](https://md.research.elamur.ai/free/en/papers/nouri-2026-novel-synthetic-dataset-few-shot/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shiva Banasaz Nouri, Elena Leitner, Julian Moreno-Schneider, et al.*2026*
575. **[Adaptive Instruction Composition for Automated LLM Red-Teaming](https://md.research.elamur.ai/free/en/papers/zymet-2026-adaptive-instruction-composition-automated-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jesse Zymet, Andy Luo, Swapnil Shinde, et al.*2026*
576. **[AGIC: Attention-Guided Image Captioning to Improve Caption Relevance](https://md.research.elamur.ai/free/en/papers/teja-2026-agic-attention-guided-image-captioning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**L. D. M. S. Sai Teja, Ashok Urlana, Pruthwik Mishra*2026*
577. **[Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin Tone](https://md.research.elamur.ai/free/en/papers/malik-2026-ask-me-again-differently-gras/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shaivi Malik, Hasnat Md Abdullah, Sriparna Saha, et al.*2026*
578. **[Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation?](https://md.research.elamur.ai/free/en/papers/wi-2026-can-spectral-clipping-enable-better/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hyowon Wi, Noseong Park*2026*
579. **[COMPEL: Compensated Mixture-of-Experts Pruning with Expert-Layer distribution](https://md.research.elamur.ai/free/en/papers/yoon-2026-compel-compensated-mixture-experts-pruning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seohee Yoon, Yong Suk Choi*2026*
580. **[Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences](https://md.research.elamur.ai/free/en/papers/ramirez-2026-controlling-what-you-share-assessing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guillem Ramírez, Alexandra Birch, Ivan Titov*2026*
581. **[Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards](https://md.research.elamur.ai/free/en/papers/yuan-2026-curing-miracle-steps-llm-mathematical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.*2026*
582. **[Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models](https://md.research.elamur.ai/free/en/papers/vetcha-2026-decoupling-generalization-adaptation-meta-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nitin Vetcha, Binqian Xu, Dianbo Liu*2026*
583. **[Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting Circuits](https://md.research.elamur.ai/free/en/papers/zhao-2026-do-transformers-grok-succinct-algorithms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yizheng Zhao*2026*
584. **[Dual-Axis Compositional Contrastive Few-Shot Learning using Prototypes Across Linguistic and Semantic Dimensions for Indic Low-Resource Multilingual NLU](https://md.research.elamur.ai/free/en/papers/mitra-2026-dual-axis-compositional-contrastive-few/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**Kathakali Mitra, Sakshi Singh, Sree Nithish Reddy Gunapati, et al.*2026*
585. **[Effects of Adaptive Pretraining in Specialized Domains for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/lynam-2026-effects-adaptive-pretraining-specialized-domains/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Jack Lynam, Sam Henry*2026*
586. **[Entropy-aware Masking for Masked Language Modeling](https://md.research.elamur.ai/free/en/papers/srinivasagan-2026-entropy-aware-masking-masked-language/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Gokul Srinivasagan, Kai Hartung, Munir Georges*2026*
587. **[Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI](https://md.research.elamur.ai/free/en/papers/man-2026-explainable-disentangled-representation-learning-generalizable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hieu Man, Van-Cuong Pham, Nghia Trung Ngo, et al.*2026*
588. **[FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation](https://md.research.elamur.ai/free/en/papers/shan-2026-factverse-benchmark-factual-consistency-interleaved/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yubo Shan, Kun Zhang, Qiming Xu, et al.*2026*
589. **[FedPAGR: Federated Prototype Alignment via Geometric Refinement for Heterogeneous Architectures](https://md.research.elamur.ai/free/en/papers/prasad-2026-fedpagr-federated-prototype-alignment-geometric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kris Prasad, Md Abdullah Al Hafiz Khan*2026*
590. **[Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge](https://md.research.elamur.ai/free/en/papers/yang-2026-fine-tuning-vs-rag-multi/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Zhuoyi Yang, Yurun Song, Kyler G. Harris, et al.*2026*
591. **[From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Nakanyseth Vuth, Gilles Sérasset, Didier Schwab*2026*
592. **[From Narrow Unlearning to Emergent Misalignment in LLMs](https://md.research.elamur.ai/free/en/papers/mushtaq-2026-narrow-unlearning-emergent-misalignment-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, et al.*2026*
593. **[Graph-Based Alternatives to LLMs for Human Simulation](https://md.research.elamur.ai/free/en/papers/suh-2026-graph-based-alternatives-llms-human/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joseph Suh, Suhong Moon, Serina Chang*2026*
594. **[GSI:detect - A Perspectivist Approach to Gender Stereotypes Identification in Italian](https://md.research.elamur.ai/free/en/papers/testa-2026-gsi-detect-perspectivist-approach-gender/) [edition of NLPerspectives](https://md.research.elamur.ai/free/en/venues/nlperspectives/)**Davide Testa, Sofia Brenna, Manuela Speranza, et al.*2026*
595. **[HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/proskurina-2026-hateprototypes-interpretable-transferable-representations-implicit/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Irina Proskurina, Marc-Antoine Carpentier, Julien Velcin*2026*
596. **[How Do Inpainting Artifacts Propagate to Language?](https://md.research.elamur.ai/free/en/papers/yashwante-2026-how-do-inpainting-artifacts-propagate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pratham Yashwante, Davit Abrahamyan, Shresth Grover, et al.*2026*
597. [**How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline arXiv:2604.04204**Mir Tafseer Nayeem, Davood Rafiei*2026*](https://md.research.elamur.ai/free/en/papers/nayeem-2026-english-us-become-default-triangulating/)
598. **[How to Make LMs Strong Node Classifiers?](https://md.research.elamur.ai/free/en/papers/xu-2026-how-make-lms-strong-node/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhe Xu, Kaveh Hassani, Si Zhang, et al.*2026*
599. **[HyperparameterOmens at SemEval-2026 Task 13: Various approaches to detecting machine- generated code](https://md.research.elamur.ai/free/en/papers/sukhotin-2026-hyperparameteromens-semeval-2026-task-13/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Dmitry Sukhotin, How Yu*2026*
600. **[Leveraging Unannotated Sign Language Data via a Robust Data Augmentation Method for Contrastive Representation Learning](https://md.research.elamur.ai/free/en/papers/madjoukeng-2026-leveraging-unannotated-sign-language-data/) [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/)**Ariel Basso Madjoukeng, Pierre Poitier, Belise Edith Kenmogne, et al.*2026*

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