---
title: "Who cites William Fedus — page 4"
description: "4,320 papers of the Elamur Research library cite the works of William Fedus, found in their bibliographies · page 4 of 4 · 301–352; the most cited first."
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---
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# Who cites William Fedus

4,883 citations of their works from 4,320 papers of our library (of the 140,884 whose bibliographies we read) · 352 with a page here, the most cited first · page 4 of 4 · 301–352 · [← William Fedus](https://md.research.elamur.ai/free/en/authors/william-fedus/)

[← prev](https://md.research.elamur.ai/free/en/authors/william-fedus/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/authors/william-fedus/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/william-fedus/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/william-fedus/cited-by/page/3/) **4**

301. [**Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets**Nikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.*2025 · 28 citations*](https://md.research.elamur.ai/free/en/papers/moghe-2025-machine-translation-meta-evaluation-through/)
302. [**Observational Scaling Laws and the Predictability of Language Model Performance**Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto*2024 · 28 citations*](https://md.research.elamur.ai/free/en/papers/ruan-2024-observational-scaling-laws-predictability-language/)
303. [**Prediction of Arabic Legal Rulings using Large Language Models**Adel Ammar, Anis Koubaa, Bilel Benjdira, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2023-prediction-arabic-legal-rulings-using/)
304. [**The Quantization Model of Neural Scaling**Eric J. Michaud, Ziming Liu, Uzay Girit, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/michaud-2023-quantization-model-neural-scaling/)
305. [**Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations**Alexander Hägele, Elie Bakouch, Atli Kosson, et al.*2024 · 24 citations*](https://md.research.elamur.ai/free/en/papers/hagele-2024-scaling-laws-compute-optimal-training/)
306. [**Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?**Ajay Patel, Nicholas Andrews, Chris Callison-Burch*2022 · 24 citations*](https://md.research.elamur.ai/free/en/papers/patel-2022-low-resource-authorship-style-transfer/)
307. [**MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks**Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.*2025 · 22 citations*](https://md.research.elamur.ai/free/en/papers/daoud-2025-medarabiq-benchmarking-large-language-models/)
308. [**DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules**Yanchen Liu, William Held, Diyi Yang*2023 · 20 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-dada-dialect-adaptation-dynamic-aggregation/)
309. [**Do Large Language Models Understand Word Senses?**Domenico Meconi, Simone Stirpe, Federico Martelli*2025 · 18 citations*](https://md.research.elamur.ai/free/en/papers/meconi-2025-llms-word-senses/)
310. [**Construction Grammar Provides Unique Insight into Neural Language Models**Leonie Weissweiler, Taiqi He, Naoki Otani, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-construction-grammar-provides-unique-insight/)
311. [**CAW-coref: Conjunction-Aware Word-level Coreference Resolution**Karel D'Oosterlinck, Semere Kiros Bitew, Brandon Papineau, et al.*2023 · 17 citations*](https://md.research.elamur.ai/free/en/papers/oosterlinck-2023-caw-coref-conjunction-aware-word/)
312. [**Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes On**Liang Zeng, Liangjun Zhong, Liang Zhao, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-skywork-math-data-scaling-laws/)
313. [**DiscoFlan: Instruction Fine-tuning and Refined Text Generation for Discourse Relation Label Classification**Kaveri Anuranjana*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/anuranjana-2023-discoflan-instruction-fine-tuning-refined/)
314. [**Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based Approach**Chuyuan Li, Yuwei Yin, Giuseppe Carenini*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-dialogue-discourse-parsing-as-generation/)
315. [**Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering**Neha Srikanth, Rupak Sarkar, Heran Mane, et al.*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/srikanth-2024-pregnant-questions-importance-pragmatic-awareness/)
316. [**Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations**Magdalena Markowska, Mohammad Taghizadeh, Adil Soubki, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/markowska-2023-finding-common-ground-annotating-predicting/)
317. [**How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?**Neha Srikanth, Marine Carpuat, Rachel Rudinger*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/srikanth-2024-how-often-are-errors-natural/)
318. [**Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews**Nils Dycke, Ilia Kuznetsov, Iryna Gurevych*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/dycke-2023-overview-pragtag-2023-low-resource/)
319. [**GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains**Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-gdtb-genre-diverse-data-english/)
320. [**Linear Cross-document Event Coreference Resolution with X-AMR**Shafiuddin Rehan Ahmed, George Arthur Baker, Evi Judge, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-linear-cross-document-event-coreference/)
321. [**TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings**Hans Hanley, Zakir Durumeric*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hanley-2023-tata-stance-detection-topic-agnostic/)
322. [**Advancing Dialectal Arabic to Modern Standard Arabic Machine Translation**Abdullah Alabdullah, Lifeng Han, Chenghua Lin*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/alabdullah-2025-advancing-dialectal-arabic-modern-standard/)
323. [**Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability**Xufeng Duan, Xinyu Zhou, Bei Xiao, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/duan-2025-unveiling-language-competence-neurons-psycholinguistic/)
324. [**Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for Swedish**Oskar Holmström, Jenny Kunz, Marco Kuhlmann*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/holmstrom-2023-bridging-resource-gap-exploring-efficacy/)
325. [**AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMs**Mo El-Haj, Paul Rayson*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/el-haj-2025-arafinnews-arabic-financial-summarisation-domain/)
326. [**Frame In, Frame Out: Measuring Framing Bias in LLM-Generated News Summaries**Valeria Pastorino, Nafise Sadat Moosavi*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/pastorino-2026-frame-frame-out-measuring-framing/)
327. [**WordNet under Scrutiny: Dictionary Examples in the Era of Large Language Models**Fatemah Yousef Almeman, Steven Schockaert, Luis Espinosa Anke*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/almeman-2024-wordnet-examples-llm/)
328. [**Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization**Bashar Al-Rfooh, Gheith Abandah, Rami Al-Rfou*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/al-rfooh-2023-fine-tashkeel-finetuning-byte-level/)
329. [**Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety**Qian Shen, Fanghua Cao, Min Yao, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shen-2026-children-s-english-reading-story/)
330. [**Missing Links: LLM-Augmentation of Event Triggers of State Changes in the OpenPI Dataset**Kyeongmin Rim, James Pustejovsky*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/rim-2026-missing-links-llm-augmentation-event/)
331. [**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/)
332. [**EtymoLink: A Structured English Etymology Dataset**Yuan Gao, Weiwei Sun*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gao-2024-etymolink-english/)
333. [**A Single Model Ensemble Framework for Neural Machine Translation Using Pivot Translation**Seokjin Oh, Keonwoong Noh, Woohwan Jung*2026*](https://md.research.elamur.ai/free/en/papers/oh-2026-single-model-ensemble-framework-neural/)
334. [**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/)
335. [**AraDynFact: Dynamic Evaluation of Factual Knowledge in Arabic**Ignacio Iacobacci, Faroq Altam, Zhaozhi Qian, et al.*2026*](https://md.research.elamur.ai/free/en/papers/iacobacci-2026-aradynfact-dynamic-evaluation-factual-knowledge/)
336. [**ArgAssist: LLM-based Argument Synthesis for Insurance Disputes**Anubhav Sinha, Nitin Ramrakhiyani, Sachin Pawar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sinha-2026-argassist-llm-based-argument-synthesis/)
337. [**EduBench: A Portuguese Benchmark for Open-Ended Discursive Question Answering**Pedro Henrique Paiola, Luís Gabriel Damiati Mendes, Bruno de Oliveira Monchelato, et al.*2026*](https://md.research.elamur.ai/free/en/papers/paiola-2026-edubench-portuguese-benchmark-open-ended/)
338. [**Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?**Selina Meyer, Magdalena Abel, Michael Roth*2026*](https://md.research.elamur.ai/free/en/papers/meyer-2026-headlines-you-won-t-forget/)
339. [**HistoryBankQA: Multilingual Temporal Question Answering on Historical Events**Biswadip Mandal, Anant Khandelwal, Manish Gupta*2026*](https://md.research.elamur.ai/free/en/papers/mandal-2026-historybankqa-multilingual-temporal-question-answering/)
340. [**Modelling Idiomatic Expressions in Abstract Meaning Representation**Venera Gareeva, Johannes Heinecke*2026*](https://md.research.elamur.ai/free/en/papers/gareeva-2026-modelling-idiomatic-expressions-abstract-meaning/)
341. [**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/)
342. [**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/)
343. [**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/)
344. [**Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-Making**Katsumasa Yoshikawa, Junya Takayama, Takato Yamazaki*2026*](https://md.research.elamur.ai/free/en/papers/yoshikawa-2026-persona-aware-evaluation-cognitive-bias/)
345. [**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/)
346. [**Russian Generative Spelling, Punctuation and Capitalization Correction**Nikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.*2026*](https://md.research.elamur.ai/free/en/papers/martynov-2026-russian-generative-spelling-punctuation-capitalization/)
347. [**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/)
348. [**Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human Data**Wajdi Zaghouani*2026*](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-cognitive-alignment-large-language-models/)
349. [**Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM Judges**Anuradha Welivita, Fawzia Zeitoun, Pearl Pu*2026*](https://md.research.elamur.ai/free/en/papers/welivita-2026-who-generates-more-empathetic-responses/)
350. [**ZIP: Quantifying Which Words Matter in Zero-Shot Instructional Prompts**Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sadr-2026-zip-quantifying-which-words-matter/)
351. [**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/)
352. [**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/)

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