---
title: "Who cites Douglas Eck — page 11 — 4,311 papers of our library"
description: "4,311 papers of the Elamur Research library cite the works of Douglas Eck, found in their bibliographies · page 11 of 11 · 1001–1072; the…"
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---
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# Who cites Douglas Eck

4,540 citations of their works from 4,311 papers of our library (of the 149,439 whose bibliographies we read) · 1,072 with a page here, the most cited first · page 11 of 11 · 1001–1072 · [← Douglas Eck](https://md.research.elamur.ai/free/en/authors/douglas-eck/)

[← prev](https://md.research.elamur.ai/free/en/authors/douglas-eck/cited-by/page/10/) [1](https://md.research.elamur.ai/free/en/authors/douglas-eck/cited-by/) … [10](https://md.research.elamur.ai/free/en/authors/douglas-eck/cited-by/page/10/) **11**

1001. **[How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective](https://md.research.elamur.ai/free/en/papers/zhu-2026-how-can-synthetic-data-improve/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tongyao Zhu, Qian Liu, Chang Ma, et al.*2026*
1002. **[How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities](https://md.research.elamur.ai/free/en/papers/xu-2026-how-controllable-are-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziwen Xu, Kewei Xu, Haoming Xu, et al.*2026*
1003. **[How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors](https://md.research.elamur.ai/free/en/papers/yu-2026-how-do-visual-attributes-influence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kuai Yu, Naicheng Yu, Han Wang, et al.*2026*
1004. **[IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages](https://md.research.elamur.ai/free/en/papers/nigam-2026-indicmeddialog-parallel-multi-turn-medical/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Shubham Kumar Nigam, Suparnojit Sarkar, Piyush Patel*2026*
1005. **[InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in Summarization](https://md.research.elamur.ai/free/en/papers/nishida-2026-instructsum-benchmark-evaluate-instruction-following/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kosuke Nishida, Kyosuke Nishida, Itsumi Saito*2026*
1006. **[Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications](https://md.research.elamur.ai/free/en/papers/lu-2026-inverting-shield-systematically-generating-safety/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyue Lu, Xianglin Yang, Haijun Liu, et al.*2026*
1007. **[Kashif-AI at AbjadGenEval Shared Task: A Transformer-based Approach for Arabic AI-Generated Text Detection](https://md.research.elamur.ai/free/en/papers/eldin-2026-kashif-ai-abjadgeneval-shared-task/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Emad Eldin, Fatimah Mohamed*2026*
1008. **[LAMCL: A Length-aware Momentum Contrastive Learning Framework for Multiscale Machine-Revised Text Detection](https://md.research.elamur.ai/free/en/papers/zhou-2026-lamcl-length-aware-momentum-contrastive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bing Zhou, Zhe Huang, Shilei Tan, et al.*2026*
1009. **[Language-Aware Token Boosting: LLM Language Confusion Reduction Without Tuning](https://md.research.elamur.ai/free/en/papers/ukarapol-2026-language-aware-token-boosting-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng*2026*
1010. **[LeLoRA: Learnable Low-Rank Adaptation of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-lelora-learnable-low-rank-adaptation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, et al.*2026*
1011. **[Limited Linguistic Diversity in Embodied AI Datasets](https://md.research.elamur.ai/free/en/papers/wanna-2026-limited-linguistic-diversity-embodied-ai/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Selma Liliane Wanna, Agnes Luhtaru, Jonathan Salfity, et al.*2026*
1012. **[Linguistic Initialization for Inductive Reasoning in Heterogeneous Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/pasquini-2026-linguistic-initialization-inductive-reasoning-heterogeneous/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Daniele Pasquini, Danilo Croce, Roberto Basili*2026*
1013. **[Mango: Multi-Agent Web Navigation via Global-View Optimization](https://md.research.elamur.ai/free/en/papers/tong-2026-mango-multi-agent-web-navigation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weixi Tong, Yifeng Di, Tianyi Zhang*2026*
1014. [**MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model arXiv:2608.10360**Jiaxin Du, Boulbaba Abdeljaouad, Yong Zhuang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/du-2026-mazzikaai-knowledge-based-performance-prompt/)
1015. **[Memorization or Lucky Guesses: Detecting Short Sequences from Copyrighted Dutch News in LLM Output](https://md.research.elamur.ai/free/en/papers/veerbeek-2026-memorization-or-lucky-guesses-detecting/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Joris Veerbeek, Kas Berendsen, Alessandra Polimeno, et al.*2026*
1016. **[Memory Dial: A Training Framework for Controllable Memorization in Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-memory-dial-training-framework-controllable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiangbo Zhang, Ali Emami*2026*
1017. **[MirrorCAPTCHA: Wild CAPTCHA, Wild Distribution, Wild Web-based Platform Meet Multimodal LLM Agents](https://md.research.elamur.ai/free/en/papers/wu-2026-mirrorcaptcha-wild-captcha-wild-distribution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangyu Wu, Yuwei Hu, Tianyu Cui, et al.*2026*
1018. **[Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.*2026*
1019. **[NeuRAG: End-to-End Neural Knowledge Augmentation via Hyper-Neurons](https://md.research.elamur.ai/free/en/papers/zheng-2026-neurag-end-end-neural-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Liwei Zheng, Xuemin Liu, Jie Liu*2026*
1020. **[Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching](https://md.research.elamur.ai/free/en/papers/shi-2026-neuronal-insights-into-llm-attacks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dan Shi, Renren Jin, Zhuowen Han, et al.*2026*
1021. **[NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise](https://md.research.elamur.ai/free/en/papers/xu-2026-noisycausal-benchmark-evaluating-causal-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhi Xu, Yun Fu*2026*
1022. [**Obscuring Data Contamination Through Translation: Evidence from Arabic Corpora arXiv:2601.14994**Chaymaa Abbas, Nour Shamaa, Mariette Awad*2026*](https://md.research.elamur.ai/free/en/papers/abbas-2026-obscuring-data-contamination-through-translation/)
1023. **[One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction](https://md.research.elamur.ai/free/en/papers/lu-2026-one-panel-does-not-fit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxing Lu, Yushuhong Lin, Jason Zhang*2026*
1024. **[ParaCLEAN: Improving Translation Quality through Systematic Parallel Data Cleaning](https://md.research.elamur.ai/free/en/papers/mash-2026-paraclean-improving-translation-quality-through/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Audrey Mash, Ella Paulina Bohman, Maite Melero*2026*
1025. **[Parallel-SFT: Improving Zero-Shot Cross-Programming-Language Transfer for Code RL](https://md.research.elamur.ai/free/en/papers/wu-2026-parallel-sft-improving-zero-shot/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhaofeng Wu, Shiqi Wang, Boya Peng, et al.*2026*
1026. **[PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information Leakage](https://md.research.elamur.ai/free/en/papers/nakka-2026-pii-jailbreaking-llms-activation-steering/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Krishna Kanth Nakka, Xue Jiang, Dmitrii Usynin, et al.*2026*
1027. **[Pragmatic Modelling in Language Learning: Caregiver Question-Answer Feedback in Child-Directed Dialogue](https://md.research.elamur.ai/free/en/papers/bala-2026-pragmatic-modelling-language-learning-caregiver/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Maryam Bala, Johannes Heim, Elspeth Edelstein, et al.*2026*
1028. **[Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints](https://md.research.elamur.ai/free/en/papers/peng-2026-preventing-safety-drift-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Songping Peng, Zhiheng Zhang, Daojian Zeng, et al.*2026*
1029. **[Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum Learning](https://md.research.elamur.ai/free/en/papers/min-2026-progressive-re-ranking-multimodal-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhu Min, Yanchao Hao, Jian Liu, et al.*2026*
1030. **[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*
1031. **[Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/asgari-2026-quantifying-metric-model-agreement-bias/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arash Asgari, Huan Wu, Amirreza Naziri, et al.*2026*
1032. **[QueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion Task](https://md.research.elamur.ai/free/en/papers/sosto-2026-queergen-how-llms-reflect-societal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mae Sosto, Delfina S. Martinez Pandiani, Laura Hollink*2026*
1033. **[Ranking Human and LLM Texts Using Locality Statistics](https://md.research.elamur.ai/free/en/papers/wang-2026-ranking-human-llm-texts-locality/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiyang Wang, Chen Ding, Hangfeng He*2026*
1034. [**Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展) Acta Automatica Sinica (自动化学报)**Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zheng-2026-recent-advances-text/)
1035. **[Rendering Data Unlearnable by Exploiting LLM Alignment Mechanisms](https://md.research.elamur.ai/free/en/papers/zhang-2026-rendering-data-unlearnable-exploiting-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruihan Zhang, Jun Sun*2026*
1036. **[Repairing Regex Vulnerabilities via Localization-Guided Instructions](https://md.research.elamur.ai/free/en/papers/sung-2026-repairing-regex-vulnerabilities-localization-guided/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sicheol Sung, Joonghyuk Hahn, Yo-Sub Han*2026*
1037. [**Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling arXiv:2604.28075**Ansar Aynetdinov, Patrick Haller, Alan Akbik*2026*](https://md.research.elamur.ai/free/en/papers/aynetdinov-2026-repetition-over-diversity-high-signal/)
1038. **[Says Who? Argument Convincingness and Reader Stance Are Correlated with Perceived Author Personality](https://md.research.elamur.ai/free/en/papers/weber-2026-says-who-argument-convincingness-reader/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Sabine Weber, Lynn Greschner, Roman Klinger*2026*
1039. **[SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs](https://md.research.elamur.ai/free/en/papers/shaaban-2026-securegate-learning-when-reveal-pii/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohamed Shaaban, Mohamed Elmahallawy*2026*
1040. **[SLoRA: Balancing Plasticity and Forgetting in Large Language Models for Continual Learning](https://md.research.elamur.ai/free/en/papers/yang-2026-slora-balancing-plasticity-forgetting-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lina Yang, Yusheng Liao, Yanfeng Wang, et al.*2026*
1041. **[SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter](https://md.research.elamur.ai/free/en/papers/mok-2026-smile-next-teaching-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lee Jung-Mok, Kim Sung-Bin, Joohyun Chang, et al.*2026*
1042. **[Stable Language Guidance for Vision–Language–Action Models](https://md.research.elamur.ai/free/en/papers/zhan-2026-stable-language-guidance-vision-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhihao Zhan, Yuhao Chen, Jiaying Zhou, et al.*2026*
1043. **[StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation](https://md.research.elamur.ai/free/en/papers/zheng-2026-stealthgraph-exposing-domain-specific-risks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huawei Zheng, Xinqi Jiang, Sen Yang, et al.*2026*
1044. **[STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/yu-2026-stem-structure-tracing-evidence-mining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peng Yu, En Xu, Bin Chen, et al.*2026*
1045. [**SteuerLLM: Local specialized large language model for German tax law analysis arXiv:2602.11081 · Scientific Reports, Volume 16, 2026**Sebastian Wind, Jeta Sopa, Laurin Schmid, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wind-2026-steuerllm-local-specialized-large-language/)
1046. **[Suppressing Final Layer Hidden State Jumps in Transformer Pretraining](https://md.research.elamur.ai/free/en/papers/shibata-2026-suppressing-final-layer-hidden-state/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Keigo Shibata, Kazuki Yano, Ryosuke Takahashi, et al.*2026*
1047. **[TAGA@EEUCA 2026: Token-Attribution Guided Attention for Fine-Grained Toxic Behaviour Classification in Online Gaming Communities](https://md.research.elamur.ai/free/en/papers/shah-2026-taga-eeuca-2026-token-attribution/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Akshyat Shah, Shashi Sah, Aryan Gupta, et al.*2026*
1048. **[TeleAI at SemEval-2026 Task 13: Data-Centric Full-Parameter Fine-Tuning with Multi-Level Ensembling for Generated Code Detection](https://md.research.elamur.ai/free/en/papers/wang-2026-teleai-semeval-2026-task-13/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Shiquan Wang, Fang Yu, Shuangyong Song, et al.*2026*
1049. **[TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action](https://md.research.elamur.ai/free/en/papers/zhou-2026-textminex-data-evaluation-framework-ontology/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.*2026*
1050. **[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*
1051. **[The Impact of Tokenization Algorithms on Hungarian Language Model Performance](https://md.research.elamur.ai/free/en/papers/osvath-2026-impact-tokenization-algorithms-hungarian-language/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.*2026*
1052. **[Thesis Proposal: Diagnosing and Mitigating Semantic Interference in Script-Sharing Low-Resource Language Models: A Case Study on Square Bai Script](https://md.research.elamur.ai/free/en/papers/zheng-2026-thesis-proposal-diagnosing-mitigating-semantic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingting Zheng, Deyi Xiong*2026*
1053. **[Tonal Salience in Cognitive Decline: In-Context MCI Detection with Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/song-2026-tonal-salience-cognitive-decline-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Christopher Song, Abdullah P. Rashed Ahmed*2026*
1054. **[Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and Humanities](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-responsible-epistemically-grounded-multilingual-llms/) [Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC](https://md.research.elamur.ai/free/en/venues/llms4ssh/)**Wajdi Zaghouani*2026*
1055. **[UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-unac-adaptive-visual-prompting-abstraction/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifan Wang, Yun Fu*2026*
1056. **[Understanding Emergent Misalignment via Feature Superposition Geometry](https://md.research.elamur.ai/free/en/papers/minegishi-2026-understanding-emergent-misalignment-feature-superposition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, et al.*2026*
1057. **[Validating Automatic Evaluation of Controllable Counterspeech Generation: Rankings Matter More Than Scores](https://md.research.elamur.ai/free/en/papers/zheng-2026-validating-automatic-evaluation-controllable-counterspeech/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yi Zheng, Björn Ross, Walid Magdy*2026*
1058. **[Verifiable LLM-Generated Text Detection via Projected Semantic-Structural Distributions](https://md.research.elamur.ai/free/en/papers/xiong-2026-verifiable-llm-generated-text-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruochong Xiong, Qien Li, Wangwang Lian, et al.*2026*
1059. **[WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent](https://md.research.elamur.ai/free/en/papers/zhang-2026-webuncertainty-dual-level-uncertainty-driven/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lingfeng Zhang, Yongan Sun, Jinpeng Hu, et al.*2026*
1060. **[Weight Tying Biases Token Embeddings Towards the Output Space](https://md.research.elamur.ai/free/en/papers/lopardo-2026-weight-tying-biases-token-embeddings/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Antonio Lopardo, Avyukth Harish, Catherine Arnett, et al.*2026*
1061. **[When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents](https://md.research.elamur.ai/free/en/papers/ning-2026-when-efficiency-becomes-vulnerability-computational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang-Bo Ning, Yuchen Zhu, Heqing Huang, et al.*2026*
1062. **[Why is “Chicago” Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues](https://md.research.elamur.ai/free/en/papers/qu-2026-why-is-chicago-predictive-deceptive/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Jiaming Qu, Mengtian Guo, Yue Wang*2026*
1063. **[Word Surprisal Correlates with Sentential Contradiction in LLMs](https://md.research.elamur.ai/free/en/papers/shi-2026-word-surprisal-correlates-sentential-contradiction/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ning Shi, Bradley Hauer, David Basil, et al.*2026*
1064. **[You Only Need One Single Token to Refine Safety Alignment](https://md.research.elamur.ai/free/en/papers/yu-2026-you-only-need-one-single/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqian Yu, Shuo Chen, Zhijiang Li, et al.*2026*
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