---
title: "Who cites Ion Gabriel Stoica — page 9 — 5,830 citing papers"
description: "5,830 papers of the Elamur Research library cite the works of Ion Gabriel Stoica, found in their bibliographies · page 9 of 9 · 801–859; the…"
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---
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# Who cites Ion Gabriel Stoica

8,499 citations of their works from 5,830 papers of our library (of the 149,439 whose bibliographies we read) · 859 with a page here, the most cited first · page 9 of 9 · 801–859 · [← Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/)

[← prev](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/cited-by/page/8/) [1](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/cited-by/) … [8](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/cited-by/page/8/) **9**

801. **[Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration](https://md.research.elamur.ai/free/en/papers/sun-2026-rethinking-text-sql-dynamic-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Linzhuang Sun, Tianyu Guo, Hao Liang, et al.*2026*
802. **[Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-revisiting-pain-neck-semantic-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Liu, Hongming Li, Melissa Xiaohui Qin, et al.*2026*
803. **[Reward Modeling for Scientific Writing Evaluation](https://md.research.elamur.ai/free/en/papers/sahinuc-2026-reward-modeling-scientific-writing-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych*2026*
804. **[RoBSA: RoPE-based Blockwise Sparse Multi-head Latent Attention](https://md.research.elamur.ai/free/en/papers/shi-2026-robsa-rope-based-blockwise-sparse/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Shi, Kairong Luo, Zhen Zheng, et al.*2026*
805. **[RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams](https://md.research.elamur.ai/free/en/papers/man-2026-rod-tal-benchmark-answering-questions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Andrei Vlad Man, Răzvan-Alexandru Smădu, Cristian-George Craciun, et al.*2026*
806. **[Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization](https://md.research.elamur.ai/free/en/papers/tang-2026-route-rome-attack-directing-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haochun Tang, Yuliang Yan, Jiahua Lu, et al.*2026*
807. **[RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment](https://md.research.elamur.ai/free/en/papers/luo-2026-routelmt-learned-sample-routing-hybrid/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yingfeng Luo, Hongyu Liu, DingYang Lin, et al.*2026*
808. **[RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-routemoa-dynamic-routing-without-pre/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jize Wang, Han Wu, Zhiyuan You, et al.*2026*
809. **[Router-Suggest: Dynamic Routing for Multimodal Auto-Completion in Visually-Grounded Dialogs](https://md.research.elamur.ai/free/en/papers/mishra-2026-router-suggest-dynamic-routing-multimodal/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sandeep Mishra, Devichand Budagam, Anubhab Mandal, et al.*2026*
810. **[RRAtention: Dynamic Block Sparse Attention via Per-Head Round-Robin Shifts for Long-Context Inference](https://md.research.elamur.ai/free/en/papers/liu-2026-rratention-dynamic-block-sparse-attention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siran Liu, Guoxia Wang, Sa Wang, et al.*2026*
811. **[Russian Generative Spelling, Punctuation and Capitalization Correction](https://md.research.elamur.ai/free/en/papers/martynov-2026-russian-generative-spelling-punctuation-capitalization/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.*2026*
812. **[Safe-FedLLM: Delving into the Safety of Federated Large Language Models](https://md.research.elamur.ai/free/en/papers/tao-2026-safe-fedllm-delving-into-safety/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingxiang Tao, Yu Tian, Wenxuan Tu, et al.*2026*
813. **[SafetyMem: Adaptive Jailbreak Defense via Dual-Component Safety Memory](https://md.research.elamur.ai/free/en/papers/wang-2026-safetymem-adaptive-jailbreak-defense-dual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Wang, Ziyi Ni, Huacan Wang, et al.*2026*
814. **[SEA-SafeguardBench: Culturally Grounded Safety Benchmark for Southeast Asian Languages](https://md.research.elamur.ai/free/en/papers/tasawong-2026-sea-safeguardbench-culturally-grounded-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, et al.*2026*
815. **[Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM Reasoning](https://md.research.elamur.ai/free/en/papers/saparkhan-2026-self-consistency-only-two-samples/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Raman Saparkhan, Majd Hawasly, Md Rizwan Parvez, et al.*2026*
816. **[Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-self-guided-alignment-adaptive-preference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Wang, Zhanyang Liu, Taotao Zhou, et al.*2026*
817. **[SEMIROUTER: Sparse-Data Enhanced Routing for Adaptive Multi-LLM System](https://md.research.elamur.ai/free/en/papers/wang-2026-semirouter-sparse-data-enhanced-routing/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zijie Wang, Xinyu Yan, Che Wang, et al.*2026*
818. **[Sense and Sensitivity: Examining the Influence of Semantic Recall on Long Context Code Understanding](https://md.research.elamur.ai/free/en/papers/storek-2026-sense-sensitivity-examining-influence-semantic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Adam Štorek, Mukur Gupta, Samira Hajizadeh, et al.*2026*
819. **[Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text Simplification](https://md.research.elamur.ai/free/en/papers/zhou-2026-simplify-pro-two-level-progressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peng Zhou, Guangxin Li, Xiaoying Huang, et al.*2026*
820. **[Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity Detection](https://md.research.elamur.ai/free/en/papers/phelps-2026-stands-reason-investigating-effect-reasoning/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith, et al.*2026*
821. **[Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/so-2026-superficial-success-vs-internal-breakdown/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Namyeong So, Seokgyu Jang, Taeuk Kim*2026*
822. **[Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/schaffelder-2026-synthetic-eggs-many-baskets-impact/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Max Schaffelder, Albert Gatt*2026*
823. **[Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-Tuning](https://md.research.elamur.ai/free/en/papers/stenlund-2026-synthetic-instruction-generation-low-resource/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.*2026*
824. **[Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale](https://md.research.elamur.ai/free/en/papers/liu-2026-systematic-evaluation-quality-synthetic-clinical/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Jinghui Liu, Sarvesh Soni, Anthony Nguyen*2026*
825. **[Take It All: Ensemble Retrieval for Multimodal Evidence Aggregation](https://md.research.elamur.ai/free/en/papers/upravitelev-2026-take-it-all-ensemble-retrieval/) [Fact Extraction and VERification Workshop (FEVER)](https://md.research.elamur.ai/free/en/venues/fever/)**Max Upravitelev, Veronika Solopova, Premtim Sahitaj, et al.*2026*
826. **[Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios](https://md.research.elamur.ai/free/en/papers/liu-2026-task-aware-llm-routing-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Liu, Bin Zou, Kecheng Chen, et al.*2026*
827. **[The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check](https://md.research.elamur.ai/free/en/papers/lu-2026-bitter-lesson-diffusion-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Lu, Liang Ding, Kanjian Zhang, et al.*2026*
828. **[The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform](https://md.research.elamur.ai/free/en/papers/tsolakis-2026-matos-pipeline-translation-scientific-abstracts/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.*2026*
829. **[Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books](https://md.research.elamur.ai/free/en/papers/papoudakis-2026-think-before-you-write-qa/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Argyrios Papoudakis, Mirella Lapata, Frank Keller*2026*
830. **[Think Faster Than Words: Efficient LLM Chain-of-Thought Reasoning via Dynamic Shortcut Decoding](https://md.research.elamur.ai/free/en/papers/liu-2026-think-faster-than-words-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fan Liu, Yanhao Wang, Min Zhang, et al.*2026*
831. **[Think Like You Execute: Verifiable Chain of Thought from Program Traces](https://md.research.elamur.ai/free/en/papers/thakur-2026-think-like-you-execute-verifiable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni, et al.*2026*
832. **[Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models](https://md.research.elamur.ai/free/en/papers/sheng-2026-think-smart-not-hard-difficulty/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhichao Sheng, Shilin Zhou, Chen Gong, et al.*2026*
833. **[ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning](https://md.research.elamur.ai/free/en/papers/smirnov-2026-thinkbooster-unified-framework-seamless-test/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vladislav Smirnov, Quang-Chieu Nguyen, Sergey Senichev, et al.*2026*
834. **[To Write or to Automate Linguistic Prompts, That Is the Question](https://md.research.elamur.ai/free/en/papers/torron-2026-write-or-automate-linguistic-prompts/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Marina Sánchez-Torrón, Daria Akselrod, Jason Rauchwerk*2026*
835. **[Toying with Style: Can GenAI Mimic a Literary Translator's Voice?](https://md.research.elamur.ai/free/en/papers/sopot-2026-toying-style-can-genai-mimic/) [Workshop on Style in GenAI-Translated Content (StyGenAI)](https://md.research.elamur.ai/free/en/venues/stygenai/)**Beniamin Sopot, Dorothy Kenny*2026*
836. **[TRACE: Two-Phase RL for Causal Graph Exploration and Deeper Psychological Intervention in Dynamic Counseling Scenarios](https://md.research.elamur.ai/free/en/papers/tang-2026-trace-two-phase-rl-causal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shilin Tang, Zunyi Yin, Xuefeng Liang, et al.*2026*
837. **[Training-Free Adaptive Speculative Decoding via Linguistic Priors](https://md.research.elamur.ai/free/en/papers/wang-2026-training-free-adaptive-speculative-decoding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingyi Wang, Jiaqi Huang, Zunnan Xu, et al.*2026*
838. **[Tree-of-Evidence: Efficient “System 2” Search for Faithful Multimodal Grounding](https://md.research.elamur.ai/free/en/papers/nnamdi-2026-tree-evidence-efficient-system-2/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Micky C. Nnamdi, Benoit Louis Marteau, Yishan Zhong, et al.*2026*
839. **[TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-triex-game-based-tri-view/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyi Wang, Chen Zhang, Wenjun Peng, et al.*2026*
840. **[TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/tan-2026-triplay-rl-tri-role-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhewen Tan, Wenhan Yu, Jianfeng Si, et al.*2026*
841. **[TVWorld: Foundations for Remote-Control TV Agents](https://md.research.elamur.ai/free/en/papers/ma-2026-tvworld-foundations-remote-control-tv/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhantao Ma, Quanfeng Lu, Shuai Zhong, et al.*2026*
842. **[UniGeM: Unifying Data Selection and Mixing via Geometric Exploration and Mining](https://md.research.elamur.ai/free/en/papers/wang-2026-unigem-unifying-data-selection-mixing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Changhao Wang, Yunfeiyu, Xinhao Yao, et al.*2026*
843. **[Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning](https://md.research.elamur.ai/free/en/papers/park-2026-verbal-r3-verbal-reranker-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sangkwon Park, Donghun Kang, Jisoo Mok, et al.*2026*
844. **[Vertical Routing: A Cost-Efficient Collaboration Routing Framework](https://md.research.elamur.ai/free/en/papers/shen-2026-vertical-routing-cost-efficient-collaboration/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Si Shen, Peijun Shen, Danhao Zhu*2026*
845. **[Vinclat: Evaluating Reasoning, Cognition and Culture in One Game](https://md.research.elamur.ai/free/en/papers/pamies-2026-vinclat-evaluating-reasoning-cognition-culture/) [Workshop on Multilingual Multicultural Evaluation](https://md.research.elamur.ai/free/en/venues/mme/)**Marc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.*2026*
846. **[WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics](https://md.research.elamur.ai/free/en/papers/liu-2026-webcoderbench-benchmarking-web-application-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenxu Liu, Yingjie Fu, Wei Yang, et al.*2026*
847. **[What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation](https://md.research.elamur.ai/free/en/papers/tan-2026-what-does-llm-refinement-actually/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaomu Tan, Dawei Zhu, Ke Tran, et al.*2026*
848. **[What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert Routing](https://md.research.elamur.ai/free/en/papers/pichlmeier-2026-what-router-sees-matters-funnel/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Josef Pichlmeier, Sebastian Nicolas Mueller, Jakob Sturm, et al.*2026*
849. **[When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models](https://md.research.elamur.ai/free/en/papers/shamsi-2026-when-prompt-optimization-becomes-jailbreaking/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zafir Shamsi, Nikhil Chekuru, Zachary Guzman, et al.*2026*
850. [**When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates**Junhong Liang, Noor Abo Mokh, Bashar Alhafni*2026*](https://md.research.elamur.ai/free/en/papers/liang-2026-similar-means-different-evaluating-llms/)
851. **[When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*
852. **[Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Shenbin Qian, Yves Scherrer*2026*
853. **[WildReward: Learning Reward Models from In-the-Wild Human Interactions](https://md.research.elamur.ai/free/en/papers/peng-2026-wildreward-learning-reward-models-wild/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2026*
854. **[WildSci: Advancing Scientific Reasoning from In-the-Wild Literature](https://md.research.elamur.ai/free/en/papers/liu-2026-wildsci-advancing-scientific-reasoning-wild/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tengxiao Liu, Deepak Nathani, Zekun Li, et al.*2026*
855. **[Would LLMs be Good Historical Linguists and Chinese Dialect Learners?](https://md.research.elamur.ai/free/en/papers/liu-2026-would-llms-be-good-historical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yicheng Liu, Shumin Shi, Youchao Zhou, et al.*2026*
856. **[xLM: A Python Package for Non-Autoregressive Language Models](https://md.research.elamur.ai/free/en/papers/patel-2026-xlm-python-package-non-autoregressive/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Dhruvesh Patel, Durga Prasad Maram, Sai Sreenivas Chintha, et al.*2026*
857. **[Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)](https://md.research.elamur.ai/free/en/papers/dong-2025-code-generation-llm/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.*2025*
858. **[Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*
859. **[Automated Speech Act Classification in Offensive German Language Tweets](https://md.research.elamur.ai/free/en/papers/plakidis-2025-automated-speech-act-classification-offensive/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Melina Plakidis, Elena Leitner, Georg Rehm*2024*

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