---
title: "Saarbrücken — works of 2026: 31 papers, the most cited first"
description: "31 works of Saarbrücken from 2026 in our library, the most cited first. Among them: Justice in Judgment: Unveiling (Hidden) Bias in…"
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# Works of Saarbrücken from 2026

31 works · the most cited first · [← Saarbrücken](https://md.research.elamur.ai/free/en/agglomerations/saarbrucken/)

1. **[Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews](https://md.research.elamur.ai/free/en/papers/vasu-2026-justice-judgment-unveiling-hidden-bias/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sai Suresh Macharla Vasu, Ivaxi Sheth, Hui-Po Wang, et al.*2026 · 8 citations*
2. **[Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?](https://md.research.elamur.ai/free/en/papers/xin-2026-jailbreaking-attacks-vs-content-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuan Xin, Dingfan Chen, Linyi Yang, et al.*2026 · 3 citations*
3. **[AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic](https://md.research.elamur.ai/free/en/papers/elshehy-2026-aramodernbert-transtokenized-initialization-long-context/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Omar Elshehy, Omer Nacar, Abdelbasset Djamai, et al.*2026 · 2 citations*
4. **[Self-Explaining Hate Speech Detection with Moral Rationales](https://md.research.elamur.ai/free/en/papers/vargas-2026-self-explaining-hate-speech-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Francielle Vargas, Jackson Trager, Diego Alves, et al.*2026 · 2 citations*
5. **[When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/tan-2026-when-flores-bloomz-wrong-cross/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**David Tan, Pinzhen Chen, Josef van Genabith, et al.*2026 · 2 citations*
6. **[Aligned Probing: Relating Toxic Behavior and Model Internals](https://md.research.elamur.ai/free/en/papers/waldis-2026-aligned-probing-relating-toxic-behavior/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Andreas Waldis, Vagrant Gautam, Anne Lauscher, et al.*2026 · 1 citation*
7. **[Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/azime-2026-bridging-culture-gap-framework-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Israel Abebe Azime, Tadesse Destaw Belay, Dietrich Klakow, et al.*2026 · 1 citation*
8. **[From Weights to Activations: Is Steering the Next Frontier of Adaptation?](https://md.research.elamur.ai/free/en/papers/ostermann-2026-weights-activations-is-steering-next/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.*2026 · 1 citation*
9. **[MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder-LLM Integration in Cross-Lingual Reasoning](https://md.research.elamur.ai/free/en/papers/uemura-2026-merlin-multi-stage-curriculum-alignment/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kosei Uemura, David Guzmán, Quang Phuoc Nguyen, et al.*2026 · 1 citation*
10. **[Modeling Turn-Taking with Semantically Informed Gestures](https://md.research.elamur.ai/free/en/papers/suresh-2026-modeling-turn-taking-semantically-informed/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Varsha Suresh, M. Hamza Mughal, Christian Theobalt, et al.*2026 · 1 citation*
11. **[Peering Behind the Shield: Guardrail Identification in Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-peering-behind-shield-guardrail-identification/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziqing Yang, Yixin Wu, Rui Wen, et al.*2026 · 1 citation*
12. **[ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks](https://md.research.elamur.ai/free/en/papers/zhuang-2026-proxyprompt-securing-system-prompts-against/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhixiong Zhuang, Maria-Irina Nicolae, Hui-Po Wang, et al.*2026 · 1 citation*
13. **[ReportLogic: Evaluating Logical Quality in Deep Research Reports](https://md.research.elamur.ai/free/en/papers/zhao-2026-reportlogic-evaluating-logical-quality-deep/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jujia Zhao, Zhaoxin Huan, Zihan Wang, et al.*2026 · 1 citation*
14. [**AmharicStoryQA: A Multicultural Story Question Answering Benchmark in Amharic arXiv:2602.02774**Israel Abebe Azime, Abenezer Kebede Angamo, Hana Mekonen Tamiru, et al.*2026*](https://md.research.elamur.ai/free/en/papers/azime-2026-amharicstoryqa-multicultural-story-question-answering/)
15. [**AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing**Sarubi Thillainathan, Ji-Ung Lee, Michael Sullivan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thillainathan-2026-authormix-modular-authorship-style-transfer/)
16. [**BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German Law arXiv:2605.28183**Sebastian Nagl, Ann-Kristin Mayrhofer, Martin Heidebach, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nagl-2026-benger-benchmarking-llm-systems-subsumption/)
17. [**CoBra: A Compound Branching Resource for Nominal Triconstituent Compounds in English and German**Carmen Schacht, Isabell Landwehr, Diana Davidson, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schacht-2026-cobra-compound-branching-resource-nominal/)
18. **[DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing](https://md.research.elamur.ai/free/en/papers/zhang-2026-de-clip-few-shot-anomaly/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yage Zhang, Yukun Jiang, Michael Backes, et al.*2026*
19. **[Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-defeating-cerberus-privacy-leakage-mitigation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Boyang Zhang, Istemi Ekin Akkus, Ruichuan Chen, et al.*2026*
20. **[Evaluating LLMs for Detecting Demographic-Targeted Social Bias: A Comprehensive Benchmark Study](https://md.research.elamur.ai/free/en/papers/majumdar-2026-evaluating-llms-detecting-demographic-targeted/) [Workshop of Identity Aware AI](https://md.research.elamur.ai/free/en/venues/iaai/)**Ayan Majumdar, Feihao Chen, Jinghui Li, et al.*2026*
21. **[GATE-Reranker: A Strong Arabic Cross-Encoder for Document Reranking](https://md.research.elamur.ai/free/en/papers/nacar-2026-gate-reranker-strong-arabic-cross/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Omer Nacar, Omar Elshehy, Mohamed Zaytoon, et al.*2026*
22. **[InferPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents](https://md.research.elamur.ai/free/en/papers/wu-2026-inferpilot-autonomous-inference-attacks-against/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yixin Wu, Rui Wen, Chi Cui, et al.*2026*
23. **[Is Cross-Lingual Transfer in Bilingual Models Human-Like? A Study with Overlapping Word Forms in Dutch and English](https://md.research.elamur.ai/free/en/papers/skrjanec-2026-is-cross-lingual-transfer-bilingual/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Iza Škrjanec, Irene Elisabeth Winther, Vera Demberg, et al.*2026*
24. **[Modeling Changing Scientific Concepts with Complex Networks: A Case Study on the Chemical Revolution](https://md.research.elamur.ai/free/en/papers/valdez-2026-modeling-changing-scientific-concepts-complex/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Sofia Aguilar Valdez, Stefania Degaetano-Ortlieb*2026*
25. **[Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs](https://md.research.elamur.ai/free/en/papers/si-2026-pruning-unsafe-tickets-resource-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wai Man Si, Mingjie Li, Michael Backes, et al.*2026*
26. **[Saar-Voice: A Multi-Speaker Saarbrücken Dialect Speech Corpus](https://md.research.elamur.ai/free/en/papers/oberkircher-2026-saar-voice-multi-speaker-saarbrucken/) [Workshop on Dialects in NLP –- A Resource Perspective](https://md.research.elamur.ai/free/en/venues/dialres/)**Lena Sophie Oberkircher, Jesujoba Alabi, Dietrich Klakow, et al.*2026*
27. **[Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration](https://md.research.elamur.ai/free/en/papers/zhang-2026-self-reinforcing-controllable-synthesis-rare/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chongsheng Zhang, Hao Wang, Zelong Yu, et al.*2026*
28. **[The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-art-mis-alignment-how-fine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rui Zhang, Hongwei Li, Yun Shen, et al.*2026*
29. **[The Challenge of Identifying the Origin of Black-Box Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-challenge-identifying-origin-black-box/) [Workshop on Privacy in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/privatenlp/)**Ziqing Yang, Yixin Wu, Yun Shen, et al.*2026*
30. **[What does Surprisal have to do with Information Status?](https://md.research.elamur.ai/free/en/papers/dyer-2026-what-does-surprisal-have-do/) [Workshop on Research in Computational Linguistic Typology and Multilingual NLP](https://md.research.elamur.ai/free/en/venues/sigtyp/)**Andrew Thomas Dyer*2026*
31. **[Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-why-does-reinforcement-learning-generalize/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dan Shi, Zhuowen Han, Simon Ostermann, et al.*2026*
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