---
title: "Who cites Tom B. Brown — page 9"
description: "11,780 papers of the Elamur Research library cite the works of Tom B. Brown, found in their bibliographies · page 9 of 9 · 801–871; the most cited first."
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---
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# Who cites Tom B. Brown

12,711 citations of their works from 11,780 papers of our library (of the 140,884 whose bibliographies we read) · 871 with a page here, the most cited first · page 9 of 9 · 801–871 · [← Tom B. Brown](https://md.research.elamur.ai/free/en/authors/tom-b-brown/)

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801. [**Hurdles of Automatic Metric for Speech Translation Evaluation**Victor Eugen Zarzu, Vilem Zouhar*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zarzu-2026-hurdles-automatic-metric-speech-translation/)
802. [**Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation**Duy Le, Kent Ziti, Evan Girard-Sun, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/le-2025-adaptive-originality-filtering-rejection-based/)
803. [**Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs**Ansar Aynetdinov, Alan Akbik*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/aynetdinov-2025-babies-learn-look-ahead-multi/)
804. [**Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development**Ko Yoshida, Daiki Shiono, Kai Sato, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yoshida-2025-batch-wise-convergent-pre-training/)
805. [**Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve Tasks**Harish Tayyar Madabushi, Claire Bonial*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/madabushi-2025-construction-grammar-evidence-how-llms/)
806. [**Exploring Data and Parameter Efficient Strategies for Arabic Dialect Identifications**Vani Kanjirangat, Ljiljana Dolamic, Fabio Rinaldi*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kanjirangat-2025-exploring-data-parameter-efficient-strategies/)
807. [**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/)
808. [**Rationale-Guided Distillation for E-Commerce Relevance Classification: Bridging Large Language Models and Lightweight Cross-Encoders**Sanjay Agrawal, Faizan Ahemad, Vivek Varadarajan Sembium*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/agrawal-2025-rationale-guided-distillation-e-commerce/)
809. [**System Report for CCL25-Eval Task 4: Prompting, Scheduling, and Arbitration Strategies for Chinese Factivity Inference**Daohuan Liu, Lun Xia, Yuxuan Zhang, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/liu-2025-system-report-ccl25-eval-task/)
810. [**When Alignment Hurts: Decoupling Representational Spaces in Multilingual Models**Ahmed Elshabrawy, Hour Kaing, Haiyue Song, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elshabrawy-2025-alignment-hurts-decoupling-representational-spaces/)
811. [**AlcLaM: Arabic Dialectal Language Model**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
812. [**Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models**Christos Zacharopoulos, Théo Desbordes, Mathias Sablé-Meyer*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zacharopoulos-2023-assessing-influence-attractor-verb-distance/)
813. [**Dotless Representation of Arabic Text: Analysis and Modeling**Maged S. Al-Shaibani, Irfan Ahmad*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2023-dotless-representation-arabic-text-analysis/)
814. [**A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-Ukrainian War**Dikshya Mohanty, Taisiia Sabadyn, Jelwin Rodrigues, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mohanty-2026-longitudinal-multinational-multilingual-corpus-news/)
815. [**A Novel Synthetic Dataset for Few-Shot Legal Relation Extraction in German**Shiva Banasaz Nouri, Elena Leitner, Julian Moreno-Schneider, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nouri-2026-novel-synthetic-dataset-few-shot/)
816. [**A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)**Anda Tang (唐岸达), Zhouchen Lin (林宙辰)*2026*](https://md.research.elamur.ai/free/en/papers/tang-2026-parameter-efficient-fine/)
817. [**A Teacher-Student Approach to Creating Verified Synthetic Clarification and Correction Dialogues for TableQA Tasks**Christian Poelitz, Nick McKenna*2026*](https://md.research.elamur.ai/free/en/papers/poelitz-2026-teacher-student-approach-creating-verified/)
818. [**Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models**Mohamed Adel, Bashar Alhafni, Nizar Habash*2026*](https://md.research.elamur.ai/free/en/papers/adel-2026-arabic-morphosyntactic-tagging-dependency-parsing/)
819. [**ArabicNumBench: Evaluating Arabic Number Reading in Large Language Models**Anas Alhumud, Abdulaziz Alhammadi, Muhammad Badruddin Khan*2026*](https://md.research.elamur.ai/free/en/papers/alhumud-2026-arabicnumbench-evaluating-arabic-number-reading/)
820. [**ARAFA: An LLM-Generated Arabic Fact-Checking Dataset**Christophe Khalil, Shady Elbassuoni, Rida Assaf*2026*](https://md.research.elamur.ai/free/en/papers/khalil-2026-arafa-llm-generated-arabic-fact/)
821. [**Corpus and Baselines for Distinguishing Authentic, AI-Generated, and AI-Enhanced Resumes**Andrea Loizidou, Anshu Kiran Sharma, Adrian Esquivel, et al.*2026*](https://md.research.elamur.ai/free/en/papers/loizidou-2026-corpus-baselines-distinguishing-authentic-ai/)
822. [**CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Traps**Jungmin Yun, June Hyoung Kwon, Youngbin Kim*2026*](https://md.research.elamur.ai/free/en/papers/yun-2026-crit-qa-evaluating-multi-hop/)
823. [**Designing LLM Agents for User-Centered Language Service Selection**Ryoichiro Ogawa, Donghui Lin, Fumito Uwano*2026*](https://md.research.elamur.ai/free/en/papers/ogawa-2026-designing-llm-agents-user-centered/)
824. [**Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark**Yu Wu, Ke Shu, Jonas Fischer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-detecting-latin-historical-books-large/)
825. [**Evaluating Discriminability of Vision-Language Models**Masayasu Muraoka, Naoaki Okazaki*2026*](https://md.research.elamur.ai/free/en/papers/muraoka-2026-evaluating-discriminability-vision-language-models/)
826. [**Evaluating the Adaptability of Large Language Models to Linguistic Variation**Ziyan Xu, Marina Seghier, Alice Millour, et al.*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-evaluating-adaptability-large-language-models/)
827. [**Evaluating the Effect of Question Wording Variations on Answer Consistency in Large Language Models**Junya Takayama, Masaya Ohagi, Tomoya Mizumoto, et al.*2026*](https://md.research.elamur.ai/free/en/papers/takayama-2026-evaluating-effect-question-wording-variations/)
828. [**Extending Creativity: Large Language Models and the Practice of Poetry Translation**Natalia Resende, James Hadley*2026*](https://md.research.elamur.ai/free/en/papers/resende-2026-extending-creativity-large-language-models/)
829. [**Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding**Priyanshu Priya, Hardik Goyal, Asif Ekbal*2026*](https://md.research.elamur.ai/free/en/papers/priya-2026-faithful-medical-dialogue-generation-homo/)
830. [**Few-shot Prompting or Supervised Tuning? A Comparative Study of LLMs for Linguistically Distant Language Pairs in BDI**Deepen Naorem, Sanasam Ranbir Singh, Telem Joyson Singh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naorem-2026-few-shot-prompting-or-supervised/)
831. [**From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features**Nakanyseth Vuth, Gilles Sérasset, Didier Schwab*2026*](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/)
832. [**Generating Sign Language Poses from HamNoSys and Natural Language Descriptions**Santiago Máximo, Luis Chiruzzo*2026*](https://md.research.elamur.ai/free/en/papers/maximo-2026-generating-sign-language-poses-hamnosys/)
833. [**Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMs**Kei Moriyama, Takashi Kodama, Kouta Nakayama*2026*](https://md.research.elamur.ai/free/en/papers/moriyama-2026-generation-instruction-preference-dataset-improving/)
834. [**GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and Generators**Manuel Schaaf, Kevin Bönisch, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/schaaf-2026-ghostwriter-hidden-ai-generated-texts/)
835. [**How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment**Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/)
836. [**HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship Detection**Luke S. Patterson, Li Wang, Adam Faulkner*2026*](https://md.research.elamur.ai/free/en/papers/patterson-2026-hybridcodeauthorship-benchmark-dataset-line-level/)
837. [**Investigating Memorization in Language Models Trained via Knowledge Distillation**Maarten Mäcking, Michaela Regneri*2026*](https://md.research.elamur.ai/free/en/papers/macking-2026-investigating-memorization-language-models-trained/)
838. [**Judging Instruction Responses in a Low-Resource Language: A Case Study on Basque**David Ponce, Harritxu Gete, Thierry Etchegoyhen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ponce-2026-judging-instruction-responses-low-resource/)
839. [**Low-Rank Compression of Language Models via Differentiable Rank Selection**Sidhant Sundrani, Francesco Tudisco, Pasquale Minervini*2026*](https://md.research.elamur.ai/free/en/papers/sundrani-2026-low-rank-compression-language-models/)
840. [**MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model**Jiaxin Du, Boulbaba Abdeljaouad, Yong Zhuang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/du-2026-mazzikaai-knowledge-based-performance-prompt/)
841. [**MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning**Zimu Wang, Yuqi Wang, Tong Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-meur-benchmark-evaluating-vision-language/)
842. [**MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection**David M. Smiley*2026*](https://md.research.elamur.ai/free/en/papers/smiley-2026-miqrabert-regression-based-sentence-bert/)
843. [**Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation**Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/)
844. [**MUSIA: Multilingual Story Illustration Corpus for Cross-Cultural Alignment and Generation**Krishna Tewari, Supriya Chanda, Nirmit Patil, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tewari-2026-musia-multilingual-story-illustration-corpus/)
845. [**MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages**Anri M. Lombard, Simbarashe Mawere, Temi Aina, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lombard-2026-mzansitext-mzansilm-open-corpus-decoder/)
846. [**NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language Inference**Matheus Westhelle, Viviane Moreira*2026*](https://md.research.elamur.ai/free/en/papers/westhelle-2026-negnli-br-brazilian-portuguese-benchmark/)
847. [**Obscuring Data Contamination Through Translation: Evidence from Arabic Corpora**Chaymaa Abbas, Nour Shamaa, Mariette Awad*2026*](https://md.research.elamur.ai/free/en/papers/abbas-2026-obscuring-data-contamination-through-translation/)
848. [**On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation**Weichuan Wang, Mingyang Liu, Chen Ma, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/)
849. [**Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models**Gyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee*2026*](https://md.research.elamur.ai/free/en/papers/shin-2026-open-access-dataset-acceptability-ratings/)
850. [**Predict and Fix: A Unified Model for Translation Quality Estimation and Post-Editing**Maciej Modrzejewski, Yash Bhaskar, Chinmay Pateria*2026*](https://md.research.elamur.ai/free/en/papers/modrzejewski-2026-predict-fix-unified-model-translation/)
851. [**Quality and Appropriateness of Large Text Datasets for Irish NLP**Abigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.*2026*](https://md.research.elamur.ai/free/en/papers/walsh-2026-quality-appropriateness-large-text-datasets/)
852. [**Questionnaire Meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and Responses**Duc-Hai Nguyen, Vijayakumar Nanjappan, Barry O'Sullivan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-questionnaire-meets-llm-benchmark-empirical/)
853. [**Reason-to-Learn (R2L): Multi-Agent Knowledge Distillation for Lightweight LLMs in Sentiment Analysis**Le-Huy Tu, Quan Nguyen, Vincent NGUYEN, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tu-2026-reason-learn-r2l-multi-agent/)
854. [**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)**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/)
855. [**SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language Models**Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/abdelnasser-2026-salamahbench-dialect-category-level-safety/)
856. [**Sentiment Analysis and Language Models for Kwanyama**Ndapa Nakashole*2026*](https://md.research.elamur.ai/free/en/papers/nakashole-2026-sentiment-analysis-language-models-kwanyama/)
857. [**Supervised Contrastive Fine-Tuning for Active Few-Shot Learning**Zirui Zhang, Lei Ge, Shengyu Qiao*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-supervised-contrastive-fine-tuning-active/)
858. [**Toxic Subword Pruning for Dialogue Response Generation on Large Language Models**Hongyuan Adam Lu, Wai Lam*2026*](https://md.research.elamur.ai/free/en/papers/lu-2026-toxic-subword-pruning-dialogue-response/)
859. [**“Decode the Law”: Towards Legal Text Simplification with Large Language Models**Mohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rabbani-2026-decode-law-legal-text-simplification/)
860. [**ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text Detection**Ali Khairallah, Arkaitz Zubiaga*2025*](https://md.research.elamur.ai/free/en/papers/khairallah-2025-alhd-large-scale-multigenre-benchmark/)
861. [**An Empirical Study of Chinese Entity Linking Based on Large Language Model (基于大语言模型的中文实体链接实证研究)**Zhengfei Xu (徐正斐), Xin Xin (辛欣)*2025*](https://md.research.elamur.ai/free/en/papers/xu-2025-empirical-study-chinese/)
862. [**Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)**Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-embodied-intelligence-systems/)
863. [**NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel*2025*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-neodictabert-pushing-frontier-bert-models/)
864. [**Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource Task**Maged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad*2025*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2025-poem-meter-classification-recited-arabic/)
865. [**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)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/)
866. [**Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)**荒沢康平, 狩野芳伸*2024*](https://md.research.elamur.ai/free/en/papers/arasawa-2024-can-generative-ai-recognise/)
867. [**Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)**Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.*2024*](https://md.research.elamur.ai/free/en/papers/antoine-2024-etude-des-facteurs-de-complexite/)
868. [**Human Temporal Inferences Go Beyond Aspectual Class**Katarzyna Pruś, Mark Steedman, Adam Lopez*2024*](https://md.research.elamur.ai/free/en/papers/prus-2024-human-temporal-inferences-go-beyond/)
869. [**On the importance of Data Scale in Pretraining Arabic Language Models**Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.*2024*](https://md.research.elamur.ai/free/en/papers/ghaddar-2024-importance-data-scale-pretraining-arabic/)
870. [**Robustness of GPT Large Language Models on Natural Language Processing Tasks (GPT系列大语言模型在自然语言处理任务中的鲁棒性)**Xuanting Chen (陈炫婷), Junjie Ye (叶俊杰), Can Zu (祖璨), et al.*2024*](https://md.research.elamur.ai/free/en/papers/chen-2024-robustness-gpt-large/)
871. [**Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)**Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.*2023*](https://md.research.elamur.ai/free/en/papers/lu-2023-questions-after-chatgpt/)

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