---
title: "Who cites Miles Brundage — page 5 — 2,535 citing papers"
description: "2,535 papers of the Elamur Research library cite the works of Miles Brundage, found in their bibliographies · page 5 of 7 · 401–500; the most…"
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# Who cites Miles Brundage

2,575 citations of their works from 2,535 papers of our library (of the 149,439 whose bibliographies we read) · 677 with a page here, the most cited first · page 5 of 7 · 401–500 · [← Miles Brundage](https://md.research.elamur.ai/free/en/authors/miles-brundage/)

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401. **[Team UBSE at SemEval-2026 Task 4: Adapting Generalist Embeddings for Narrative Representations](https://md.research.elamur.ai/free/en/papers/marogel-2026-team-ubse-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Marius Marogel, Marius Popescu*2026 · 1 citation*
402. **[UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization](https://md.research.elamur.ai/free/en/papers/lu-2026-ui-copilot-advancing-long-horizon/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengxi Lu, Fei Tang, Guangyi Liu, et al.*2026 · 1 citation*
403. **[UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models](https://md.research.elamur.ai/free/en/papers/shi-2026-ultraeval-audio-unified-framework-comprehensive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qundong Shi, Jie Zhou, Biyuan Lin, et al.*2026 · 1 citation*
404. **[Unlocking Large Audio-Language Models for Interactive Language Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-unlocking-large-audio-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongfu Liu, Zhouying Cui, Xiangming Gu, et al.*2026 · 1 citation*
405. **[USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS](https://md.research.elamur.ai/free/en/papers/zheng-2026-usb-comprehensive-unified-safety-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Baolin Zheng, Guanlin Chen, Qingyang Teng, et al.*2026 · 1 citation*
406. **[VisTW: Benchmarking Vision-Language Models for Taiwanese Mandarin in Taiwan](https://md.research.elamur.ai/free/en/papers/tam-2026-vistw-benchmarking-vision-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhi Rui Tam, Yung-Yu Shih, Yen-Wei Lee, et al.*2026 · 1 citation*
407. **[Visually-Guided Policy Optimization for Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-visually-guided-policy-optimization-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zengbin Wang, Feng Xiong, Liang Lin, et al.*2026 · 1 citation*
408. **[What Factors Affect LLMs and RLLMs in Financial Question Answering?](https://md.research.elamur.ai/free/en/papers/wang-2026-what-factors-affect-llms-rllms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peng Wang, Xuesi Hu, Jiageng Wu, et al.*2026 · 1 citation*
409. **[What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-what-makes-llm-good-optimizer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinhao Zhang, Xi Chen, François Portet, et al.*2026 · 1 citation*
410. **[When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life](https://md.research.elamur.ai/free/en/papers/lou-2026-when-helpers-become-hazards-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyue Lou, Xu Jinan, Jingyi Yin, et al.*2026 · 1 citation*
411. **[When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias](https://md.research.elamur.ai/free/en/papers/zou-2026-when-vision-language-models-judge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, et al.*2026 · 1 citation*
412. **[Why Did Apple Fall: Evaluating Curiosity in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-why-did-apple-fall-evaluating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoyu Wang, Sihang Jiang, Yuyan Chen, et al.*2026 · 1 citation*
413. [**AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation arXiv:2506.14634 · Survey Research Methods (2025)**Leah von der Heyde, Anna-Carolina Haensch, Bernd Weiß, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/heyde-2025-ain-t-nothing-but-survey/)
414. **[AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models](https://md.research.elamur.ai/free/en/papers/althnian-2025-araeval-arabic-multi-task-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.*2025 · 1 citation*
415. **[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*
416. [**English Pronunciation Evaluation without Complex Joint Training: LoRA Fine-tuned Speech Multimodal LLM arXiv:2509.02915**Taekyung Ahn, Hosung Nam*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahn-2025-english-pronunciation-evaluation-complex-joint/)
417. **[Enhancing the Automatic Classification of Metadiscourse in Low-Proficiency Learners' Spoken and Written English Texts Using XLNet](https://md.research.elamur.ai/free/en/papers/guan-2025-enhancing-automatic-classification-metadiscourse-low/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/)**Wenwen Guan, Marijn Alta, Jelke Bloem*2025 · 1 citation*
418. **[From Form to Function: A Constructional NLI Benchmark](https://md.research.elamur.ai/free/en/papers/bonial-2025-form-function-constructional-nli-benchmark/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Claire Bonial, Taylor Pellegrin, Melissa Torgbi, et al.*2025 · 1 citation*
419. [**LCHAIM - Investigating Long Context Reasoning in Hebrew**Ehud Malul, Oriel Perets, Ziv Mor, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/malul-2025-lchaim-investigating-long-context-reasoning/)
420. [**Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular English arXiv:2511.10846**Rebecca Dorn, Christina Chance, Casandra Rusti, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/dorn-2025-reinforcing-stereotypes-anger-emotion-ai/)
421. **[A Benchmark Corpus for the Diagnostic Assessment of Content in L2 English Speech](https://md.research.elamur.ai/free/en/papers/doi-2026-benchmark-corpus-diagnostic-assessment-content/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kosuke Doi, Justin Vasselli, Taro Watanabe*2026*
422. **[A Dataset for Oral Reading in Young English Readers](https://md.research.elamur.ai/free/en/papers/rose-2026-dataset-oral-reading-young-english/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Madison Rose, Michael Bennie, Valeria Pagliai, et al.*2026*
423. **[A Dual-View Analysis of Multiple Languages in Colonial Newspapers](https://md.research.elamur.ai/free/en/papers/su-2026-dual-view-analysis-multiple-languages/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhan Su, Xiaoya Chen, Fengran Mo, et al.*2026*
424. **[A Scalable Pipeline for Novelty Detection in Skill Extraction Using Large Language Models](https://md.research.elamur.ai/free/en/papers/seifert-2026-scalable-pipeline-novelty-detection-skill/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Gian Seifert, Simon Clematide*2026*
425. **[A Simple and Efficient Learning-Style Prompting for LLM Jailbreaking](https://md.research.elamur.ai/free/en/papers/luo-2026-simple-efficient-learning-style-prompting/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuan Luo, Yue Wang, Zefeng He, et al.*2026*
426. **[A Single Model Ensemble Framework for Neural Machine Translation Using Pivot Translation](https://md.research.elamur.ai/free/en/papers/oh-2026-single-model-ensemble-framework-neural/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Seokjin Oh, Keonwoong Noh, Woohwan Jung*2026*
427. **[A Survey of Large Models in Sports](https://md.research.elamur.ai/free/en/papers/xu-2026-survey-large-models-sports/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yichen Xu, Jianzhe Ma, Chuhan Wang, et al.*2026*
428. **[Activation Decomposition and Steering for LLM Backdoor Remediation](https://md.research.elamur.ai/free/en/papers/zhong-2026-activation-decomposition-steering-llm-backdoor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingfeng Zhong, Qiongkai Xu, Usman Naseem*2026*
429. **[Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language Models](https://md.research.elamur.ai/free/en/papers/su-2026-actors-frames-arguments-multi-decade/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ruiran Su, Markus Leippold, Janet B. Pierrehumbert*2026*
430. **[AdaJudge: Adaptive Multi-Perspective Judging for Reward Modeling](https://md.research.elamur.ai/free/en/papers/miao-2026-adajudge-adaptive-multi-perspective-judging/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongliang Miao, Yangyang Liang, Mengnan Du*2026*
431. **[AEQ-Bench: Measuring Empathy of Omni-Modal Large Models](https://md.research.elamur.ai/free/en/papers/luo-2026-aeq-bench-measuring-empathy-omni/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuan Luo, Lewei Yao, Lanqing Hong, et al.*2026*
432. **[Afri-MCQA: Multimodal Cultural Question Answering for African Languages](https://md.research.elamur.ai/free/en/papers/tonja-2026-afri-mcqa-multimodal-cultural-question/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Atnafu Lambebo Tonja, Srija Anand, Emilio Villa-Cueva, et al.*2026*
433. **[Afrispeech Semantics: Evaluating Audio–Semantic Reasoning in Spoken Language Models Across Domains and Accents](https://md.research.elamur.ai/free/en/papers/okocha-2026-afrispeech-semantics-evaluating-audio-semantic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chibuzor Okocha, Christan Grant*2026*
434. **[ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents](https://md.research.elamur.ai/free/en/papers/yang-2026-alden-reinforcement-learning-active-navigation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyu Yang, Terry Ruas, Yijun Tian, et al.*2026*
435. **[Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender Patterns](https://md.research.elamur.ai/free/en/papers/pauli-2026-analysing-differences-persuasive-language-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Amalie Brogaard Pauli, Maria Barrett, Max Müller-Eberstein, et al.*2026*
436. **[Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMs](https://md.research.elamur.ai/free/en/papers/zheng-2026-are-all-prompt-components-value/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yujia Zheng, Tianhao Li, Haotian Huang, et al.*2026*
437. **[Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility](https://md.research.elamur.ai/free/en/papers/palta-2026-arguments-that-alter-minds-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shramay Palta, Peter A. Rankel, Sarah Wiegreffe, et al.*2026*
438. **[AROMA: Augmented Reasoning Over a Multimodal Architecture for Virtual Cell Genetic Perturbation Modeling](https://md.research.elamur.ai/free/en/papers/zhenyu-2026-aroma-augmented-reasoning-over-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wang Zhenyu, Geyan Ye, Wei Liu, et al.*2026*
439. **[As Easy as Rocket Science: Assessing the Ability of Large Language Models to Interpret Negation in Figurative Language](https://md.research.elamur.ai/free/en/papers/owers-2026-as-easy-as-rocket-science/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jasmine Owers, Edwin Simpson, Martha Lewis*2026*
440. **[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*
441. **[Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation](https://md.research.elamur.ai/free/en/papers/song-2026-assessing-y-axis-influence-bias/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seok Hwan Song, Azher Ahmed Efat, Wallapak Tavanapong*2026*
442. **[Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QA](https://md.research.elamur.ai/free/en/papers/maheshwary-2026-augmenting-llm-reasoning-dynamic-notes/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.*2026*
443. **[Automated Reformulation of Argumentative Essays to Improve Argument Organization and Development](https://md.research.elamur.ai/free/en/papers/moraes-2026-automated-reformulation-argumentative-essays-improve/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Naomi James Sutcliffe de Moraes, Denis Deratani Mauá*2026*
444. **[AyahVerse at AbjadGenEval Shared Task: Monolingual Precision and Cross-Lingual Analysis in Perso-Arabic AI Detection](https://md.research.elamur.ai/free/en/papers/nawaz-2026-ayahverse-abjadgeneval-shared-task-monolingual/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Fizza Nawaz, Ibad-ur-Rehman Rashid, Uswa Abid, et al.*2026*
445. **[Beyond Accuracy: Alignment and Error Detection across Languages in the Bi-GSM8K Math-Teaching Benchmark](https://md.research.elamur.ai/free/en/papers/park-2026-beyond-accuracy-alignment-error-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jieun Park, KyungTae Lim, Joon-ho Lim*2026*
446. **[Beyond Atomic Characters: Glyph-Aware Sub-character Alignment for Low-Resource Multilingual OCR](https://md.research.elamur.ai/free/en/papers/zhu-2026-beyond-atomic-characters-glyph-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mengxiao Zhu, Haixu Chen, Jiu Sha, et al.*2026*
447. **[Beyond Modality Collapse: Taming Guided Modality Entropy for Omni-modal Emotion Reasoning](https://md.research.elamur.ai/free/en/papers/zhao-2026-beyond-modality-collapse-taming-guided/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xian Zhao, Rui Hu, Yuxiang Zhang, et al.*2026*
448. **[Beyond Noise: Characterizing Creative Potential in Unverifiable LLM Hallucinations](https://md.research.elamur.ai/free/en/papers/yan-2026-beyond-noise-characterizing-creative-potential/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Yan, Chunhong Zhang, Haiyu Zhao, et al.*2026*
449. **[Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis](https://md.research.elamur.ai/free/en/papers/mehri-2026-beyond-sample-level-feedback-reference/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Shuhaib Mehri, Xiusi Chen, Heng Ji, et al.*2026*
450. **[Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image Understanding](https://md.research.elamur.ai/free/en/papers/xu-2026-beyond-single-view-comprehensive-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dexuan Xu, Yuan Jiayin, Jianing Wang, et al.*2026*
451. **[Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL](https://md.research.elamur.ai/free/en/papers/wang-2026-beyond-static-rules-automated-discovery/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanqing Wang, Yongdong Chi, Jian Yang, et al.*2026*
452. **[Beyond Static Synthetic Noise: Assessing the Robustness of Large Language Models to Natural Context Variation in the Real World](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-static-synthetic-noise-assessing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yulong Wu, Viktor Schlegel, Riza Batista-Navarro*2026*
453. **[Bi-Text Mining across German Dialects: On the Role of Synthetic Training Data for Dialect Adaptation](https://md.research.elamur.ai/free/en/papers/wang-2026-bi-text-mining-across-german/) [Workshop on Building and Using Comparable Corpora (BUCC)](https://md.research.elamur.ai/free/en/venues/bucc/)**Jing Wang, Barbara Plank, Robert Litschko*2026*
454. **[BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs](https://md.research.elamur.ai/free/en/papers/singha-2026-biovlm-routing-prompts-not-parameters/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mainak Singha, Tanisha Gupta, Ankit Jha, et al.*2026*
455. **[Black-Box Membership Inference Attacks for Video Training Data in Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-black-box-membership-inference-attacks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinrui Wang, Zhenfeng Gao, Wendan Wang, et al.*2026*
456. [**BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation arXiv:2602.23580**Yun Wang, Xuansheng Wu, Jingyuan Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-bridge-gap-mitigating-bias-amplification/)
457. **[Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings](https://md.research.elamur.ai/free/en/papers/meisenbacher-2026-building-custom-taxonomy-ai-skills/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Stephen Meisenbacher, Peter Norlander*2026*
458. **[C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts](https://md.research.elamur.ai/free/en/papers/qing-2026-c-red-comprehensive-chinese-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenxi Qing, Junxi Wu, Zheng Liu, et al.*2026*
459. **[CAIR: Causal Adaptive Information-based Reinforcement Learning for Multimodal Emotion Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2026-cair-causal-adaptive-information-based/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fengyu Zhang, Bin Liu, Jianhua Tao, et al.*2026*
460. **[Can Large Language Models Infer Human Actions and Motives? Evaluation in Social Prediction and Inspection Games](https://md.research.elamur.ai/free/en/papers/shrestha-2026-can-large-language-models-infer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaleen Shrestha, Abhinav Gupta, Harish Dukkipati, et al.*2026*
461. **[Can LLMs Faithfully Explain Themselves in Low-Resource Languages? A Case Study on Emotion Detection in Persian](https://md.research.elamur.ai/free/en/papers/mehrazar-2026-can-llms-faithfully-explain-themselves/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mobina Mehrazar, Mohammad Amin Yousefi, Parisa Beygi, et al.*2026*
462. **[Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical Reasoning](https://md.research.elamur.ai/free/en/papers/merenda-2026-can-llms-reason-like-doctors/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Flavio Merenda, Jose Manuel Gomez-Perez, German Rigau*2026*
463. **[Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus Theory](https://md.research.elamur.ai/free/en/papers/pothugunta-2026-carefully-considering-culture-analyzing-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Krishna Pothugunta, John P. Lalor*2026*
464. **[CascadeFix: Multi-Location Program Repair via Cascading Planning and Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-cascadefix-multi-location-program-repair/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Huan Zhang, Li Kuang, Yang Yang, et al.*2026*
465. **[Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A ReliefWeb-based Study](https://md.research.elamur.ai/free/en/papers/zhang-2026-causal-evidence-extraction-triangulation-crisis/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuanjun Zhang, Mourad Oussalah*2026*
466. **[CEMT:Controllable Element-Oriented Machine Translation via Structured Linguistic Reasoning](https://md.research.elamur.ai/free/en/papers/shi-2026-cemt-controllable-element-oriented-machine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lingling Shi, Haoyu Jin, Ruiyu Fang, et al.*2026*
467. **[Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents](https://md.research.elamur.ai/free/en/papers/xu-2026-chain-memory-lightweight-memory-construction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiucheng Xu, Bingbing Xu, Tian Xueyun, et al.*2026*
468. **[ChartDiff: A Large-Scale Benchmark for Comprehending Pairs of Charts](https://md.research.elamur.ai/free/en/papers/ye-2026-chartdiff-large-scale-benchmark-comprehending/) [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/)**Rongtian Ye*2026*
469. **[ChemReason-Bench: Benchmarking Large Language Models for Procedural Reasoning in Experimental Chemistry](https://md.research.elamur.ai/free/en/papers/zhang-2026-chemreason-bench-benchmarking-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinwei Zhang, Xucheng Liang, Yu Zhang, et al.*2026*
470. **[ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech Recognition](https://md.research.elamur.ai/free/en/papers/zhou-2026-childtalk-multi-dialect-chinese-child/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaming Zhou, Yujie Guo, Shiwan Zhao, et al.*2026*
471. **[code-transformed: The Influence of Large Language Models on Code](https://md.research.elamur.ai/free/en/papers/xu-2026-code-transformed-influence-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuliang Xu, Siming Huang, Mingmeng Geng, et al.*2026*
472. **[CodeGuard: Improving LLM Guardrails in CS Education](https://md.research.elamur.ai/free/en/papers/raihan-2026-codeguard-improving-llm-guardrails-cs/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nishat Raihan, Noah Erdachew, Jayoti Devi, et al.*2026*
473. **[CodeRipple: Wavelet-Based Detection of LLM-Generated Code](https://md.research.elamur.ai/free/en/papers/yao-2026-coderipple-wavelet-based-detection-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingyu Yao, Zhendong Mao, Quan Wang*2026*
474. **[Communication-Efficient Desire Alignment for Proactive Embodied Human–Agent Interaction](https://md.research.elamur.ai/free/en/papers/wang-2026-communication-efficient-desire-alignment-proactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanfei Wang, Xinju Huang, Fangwei Zhong, et al.*2026*
475. **[Computational Benchmarks for Egyptian Arabic Child Directed Speech](https://md.research.elamur.ai/free/en/papers/khalifa-2026-computational-benchmarks-egyptian-arabic-child/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Salam Khalifa, Abed Qaddoumi, Nizar Habash, et al.*2026*
476. **[CoPA: Benchmarking Personalized Question Answering with Data-Informed Cognitive Factors](https://md.research.elamur.ai/free/en/papers/su-2026-copa-benchmarking-personalized-question-answering/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hang Su, Zequn Liu, Chen Hu, et al.*2026*
477. **[Corpus and Baselines for Distinguishing Authentic, AI-Generated, and AI-Enhanced Resumes](https://md.research.elamur.ai/free/en/papers/loizidou-2026-corpus-baselines-distinguishing-authentic-ai/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Andrea Loizidou, Anshu Kiran Sharma, Adrian Esquivel, et al.*2026*
478. **[CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Traps](https://md.research.elamur.ai/free/en/papers/yun-2026-crit-qa-evaluating-multi-hop/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jungmin Yun, June Hyoung Kwon, Youngbin Kim*2026*
479. **[CrossDDI: Cross-Source Evidence-Grounded Drug-Drug Interaction Verification](https://md.research.elamur.ai/free/en/papers/wang-2026-crossddi-cross-source-evidence-grounded/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Hui Wang, Bohao Chu, Norbert Fuhr*2026*
480. **[CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks](https://md.research.elamur.ai/free/en/papers/zhang-2026-crossguard-safeguarding-mllms-against-joint/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xu Zhang, Hao Li, Zhichao Lu*2026*
481. **[Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation Detection](https://md.research.elamur.ai/free/en/papers/zhang-2026-cultivating-forensic-reasoning-generalizable-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuchen Zhang, Yaxiong Wang, Kecheng Han, et al.*2026*
482. **[Data Augmentation for Named Entity Recognition in Domain-Specific Scenarios in Portuguese](https://md.research.elamur.ai/free/en/papers/moreira-2026-data-augmentation-named-entity-recognition/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Higor Moreira, Patricia Ferreira da Silva, Luciana Bencke, et al.*2026*
483. **[Data-Centric Approach at the LoResMT 2026 Turkic Translation Challenge: Russian-Kyrgyz](https://md.research.elamur.ai/free/en/papers/novokshanov-2026-data-centric-approach-loresmt-2026/) [Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)](https://md.research.elamur.ai/free/en/venues/loresmt/)**Dmitry Novokshanov*2026*
484. **[Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs](https://md.research.elamur.ai/free/en/papers/nakamura-2026-demystifying-mixed-outcomes-self-training/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yusuke Nakamura, Hirokazu Kiyomaru, Chaoran Liu, et al.*2026*
485. **[Detecting Hallucinations in Authentic LLM–Human Interactions](https://md.research.elamur.ai/free/en/papers/ren-2026-detecting-hallucinations-authentic-llm-human/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yujie Ren, Niklas Gruhlke, Anne Lauscher*2026*
486. **[DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text Detection](https://md.research.elamur.ai/free/en/papers/wu-2026-detectrl-x-reliable-multilingual-real/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junchao Wu, Yefeng Liu, Chenyu Zhu, et al.*2026*
487. **[DialDefer: A Framework for Detecting and Mitigating LLM Dialogic Deference](https://md.research.elamur.ai/free/en/papers/rabbani-2026-dialdefer-framework-detecting-mitigating-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Parisa Rabbani, Priyam Sahoo, Ruben Mathew, et al.*2026*
488. **[DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding](https://md.research.elamur.ai/free/en/papers/zhou-2026-diffa-2-practical-diffusion-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaming Zhou, Xuxin Cheng, Shiwan Zhao, et al.*2026*
489. **[Distilling Examples into Task Instructions: Enhanced In-Context Learning for Real-World B2B Conversations](https://md.research.elamur.ai/free/en/papers/rotman-2026-distilling-examples-into-task-instructions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guy Rotman, Adi Kopilov, Danit Berger Zalmanson, et al.*2026*
490. **[DMN: A Compositional Framework for Jailbreaking Multimodal LLMs with Multi-Image Inputs](https://md.research.elamur.ai/free/en/papers/xu-2026-dmn-compositional-framework-jailbreaking-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenzhuo Xu, Zhipeng Wei, Zonghao Ying, et al.*2026*
491. **[Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA](https://md.research.elamur.ai/free/en/papers/zheng-2026-doc-v-coarse-fine-interactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanlei Zheng, Pei Fu, Hang Li, et al.*2026*
492. **[DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search](https://md.research.elamur.ai/free/en/papers/qin-2026-dora-dual-objective-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangming Qin, Yuhao Deng, Yukun Zhao, et al.*2026*
493. **[DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-dpepo-diverse-parallel-exploration-policy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**JunShuo Zhang, Chengrui Huang, Feng Guo, et al.*2026*
494. **[DRInQ: Evaluating Conversational Implicature with Controlled Context Variation](https://md.research.elamur.ai/free/en/papers/arai-2026-drinq-evaluating-conversational-implicature-controlled/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hirona Jacqueline Arai, Xiang Ren*2026*
495. **[DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping](https://md.research.elamur.ai/free/en/papers/zhu-2026-dvmap-fine-grained-pluralistic-value/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengyun Zhu, Yuqi Ren, Zhen Wang, et al.*2026*
496. **[Dynamic Tool Dependency Retrieval for Lightweight Function Calling](https://md.research.elamur.ai/free/en/papers/patel-2026-dynamic-tool-dependency-retrieval-lightweight/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bhrij Patel, Davide Belli, Amir Jalalirad, et al.*2026*
497. **[E-ViC: Reasoning Beyond Text via Embodied Visual Chain for Spatial Intelligence](https://md.research.elamur.ai/free/en/papers/qi-2026-e-vic-reasoning-beyond-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junbo Qi, Yi Zhang, Hanchu Ni, et al.*2026*
498. **[E2E-GMNER: End-to-End Generative Grounded Multimodal Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/zhang-2026-e2e-gmner-end-end-generative/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Meng Zhang, Jinzhong Ning, Xiaolong Wu, et al.*2026*
499. **[ECHA: Jailbreaking LVLMs via the Mismatch between Implicit Semantic Reconstruction and Explicit Safety Alignment](https://md.research.elamur.ai/free/en/papers/xu-2026-echa-jailbreaking-lvlms-mismatch-between/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenxing Xu, Junyong Jiang, Zehu Zhang, et al.*2026*
500. **[EduMARS: Can Vision-Language Models Grade Like Teachers? Benchmarking Multimodal, Rubric-Based Assessment on Chinese K-12 Answers](https://md.research.elamur.ai/free/en/papers/zhao-2026-edumars-can-vision-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuan Zhao, Jiashun Chen, Wanting xu, et al.*2026*

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