---
title: "Who cites Tomáš Kočiský — page 4"
description: "4,945 papers of the Elamur Research library cite the works of Tomáš Kočiský, found in their bibliographies · page 4 of 5 · 301–400; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/4/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/4/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Tomáš Kočiský](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/) / [cited by](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/) / page 4

# Who cites Tomáš Kočiský

5,266 citations of their works from 4,945 papers of our library (of the 140,884 whose bibliographies we read) · 412 with a page here, the most cited first · page 4 of 5 · 301–400 · [← Tomáš Kočiský](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/)

[← prev](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/3/) **4** [5](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/5/) [next →](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/5/)

301. [**Qwen3-Omni Technical Report**Jin Xu, Zhifang Guo, Hangrui Hu, et al.*2025 · 114 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-qwen3-omni-technical-report/)
302. [**From Persona to Personalization: A Survey on Role-Playing Language Agents**Jiangjie Chen, Xintao Wang, Rui Xu, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/)
303. [**SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models**Lijun Li, Bowen Dong, Ruohui Wang, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-salad-bench-hierarchical-comprehensive-safety/)
304. [**RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation**Fangyuan Xu, Weijia Shi, Eunsol Choi*2023 · 114 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-recomp-improving-retrieval-augmented-lms/)
305. [**MLSUM: The Multilingual Summarization Corpus**Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.*2020 · 114 citations*](https://md.research.elamur.ai/free/en/papers/scialom-2020-mlsum-multilingual-summarization-corpus/)
306. [**OpenThoughts: Data Recipes for Reasoning Models**Etash Guha, Ryan Marten, Sedrick Keh, et al.*2025 · 113 citations*](https://md.research.elamur.ai/free/en/papers/guha-2025-openthoughts-data-recipes-reasoning-models/)
307. [**ALLaM: Large Language Models for Arabic and English**M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.*2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/bari-2024-allam-large-language-models-arabic/)
308. [**Break the Sequential Dependency of LLM Inference Using Lookahead Decoding**Yichao Fu, Peter Bailis, Ion Stoica, et al.*2024 · 112 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-break-sequential-dependency-llm-inference/)
309. [**Orca-Math: Unlocking the potential of SLMs in Grade School Math**Arindam Mitra, Hamed Khanpour, Corby Rosset, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/mitra-2024-orca-math-unlocking-potential-slms/)
310. [**ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models**Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.*2024 · 106 citations*](https://md.research.elamur.ai/free/en/papers/baek-2024-researchagent-iterative-research-idea/)
311. [**Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs**Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.*2024 · 104 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-skywork-reward-bag-tricks/)
312. [**UI-TARS: Pioneering Automated GUI Interaction with Native Agents**Yujia Qin, Yining Ye, Junjie Fang, et al.*2025 · 101 citations*](https://md.research.elamur.ai/free/en/papers/qin-2025-ui-tars-pioneering-automated/)
313. [**Qwen2.5-1M Technical Report**An Yang, Bowen Yu, Chengyuan Li, et al.*2025 · 100 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-qwen2-5-1m-technical/)
314. [**The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages**Dingquan Wang, Jason Eisner*2016 · 98 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-galactic-dependencies-treebanks-getting-more/)
315. [**Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling**Xiaokang Chen, Zhiyu Wu, Xingchao Liu, et al.*2025 · 97 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-janus-pro-unified-multimodal/)
316. [**LongAlign: A Recipe for Long Context Alignment of Large Language Models**Yushi Bai, Xin Lv, Jiajie Zhang, et al.*2024 · 97 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longalign-recipe-long-context/)
317. [**MAmmoTH2: Scaling Instructions from the Web**Xiang Yue, Tuney Zheng, Ge Zhang, et al.*2024 · 94 citations*](https://md.research.elamur.ai/free/en/papers/yue-2024-mammoth2-scaling-instructions-web/)
318. [**InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model**Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.*2024 · 92 citations*](https://md.research.elamur.ai/free/en/papers/dong-2024-internlm-xcomposer2-mastering-free/)
319. [**NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation**Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.*2023 · 84 citations*](https://md.research.elamur.ai/free/en/papers/dhole-2023-nl-augmenter-framework-task-sensitive/)
320. [**Coreference-Aware Dialogue Summarization**Zhengyuan Liu, Ke Shi, Nancy Chen*2021 · 81 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-coreference-aware-dialogue-summarization/)
321. [**Pragmatically Informative Text Generation**Sheng Shen, Daniel Fried, Jacob Andreas, et al.*2019 · 78 citations*](https://md.research.elamur.ai/free/en/papers/shen-2019-pragmatically-informative-text-generation/)
322. [**It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books**Bingsheng Yao, Dakuo Wang, Tongshuang Wu, et al.*2022 · 64 citations*](https://md.research.elamur.ai/free/en/papers/yao-2022-it-is-ai-s-turn/)
323. [**DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL Dataset**Lijie Wang, Ao Zhang, Kun Wu, et al.*2020 · 63 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-dusql-large-scale-pragmatic-chinese/)
324. [**Chinese Zero Pronoun Resolution with Deep Memory Network**Qingyu Yin, Yu Zhang, Weinan Zhang, et al.*2017 · 55 citations*](https://md.research.elamur.ai/free/en/papers/yin-2017-chinese-zero-pronoun-resolution-deep/)
325. [**Harnessing the linguistic signal to predict scalar inferences**Sebastian Schuster, Yuxing Chen, Judith Degen*2020 · 54 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2020-harnessing-linguistic-signal-predict-scalar/)
326. [**Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs**Aaditya K. Singh, DJ Strouse*2024 · 53 citations*](https://md.research.elamur.ai/free/en/papers/singh-2024-tokenization-counts-impact-tokenization-arithmetic/)
327. [**DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence**Wei Zhao, Michael Strube, Steffen Eger*2023 · 53 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-discoscore-evaluating-text-generation-bert/)
328. [**English Machine Reading Comprehension Datasets: A Survey**Daria Dzendzik, Jennifer Foster, Carl Vogel*2021 · 53 citations*](https://md.research.elamur.ai/free/en/papers/dzendzik-2021-english-machine-reading-comprehension-datasets/)
329. [**TellMeWhy: A Dataset for Answering Why-Questions in Narratives**Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, et al.*2021 · 53 citations*](https://md.research.elamur.ai/free/en/papers/lal-2021-tellmewhy-dataset-answering-why-questions/)
330. [**Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts**Eleftheria Briakou, Jiaming Luo, Colin Cherry, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/briakou-2024-translating-step-step-decomposing-translation/)
331. [**Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph**Yin Jou Huang, Sadao Kurohashi*2021 · 41 citations*](https://md.research.elamur.ai/free/en/papers/huang-2021-extractive-summarization-considering-discourse-coreference/)
332. [**STARC: Structured Annotations for Reading Comprehension**Yevgeni Berzak, Jonathan Malmaud, Roger Levy*2020 · 38 citations*](https://md.research.elamur.ai/free/en/papers/berzak-2020-starc-structured-annotations-reading-comprehension/)
333. [**Pairwise Representation Learning for Event Coreference**Xiaodong Yu, Wenpeng Yin, Dan Roth*2022 · 31 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-pairwise-representation-learning-event-coreference/)
334. [**Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension**Shaoru Guo, Yong Guan, Ru Li, et al.*2020 · 30 citations*](https://md.research.elamur.ai/free/en/papers/guo-2020-incorporating-syntax-frame-semantics-neural/)
335. [**BERT Fine-tuning For Arabic Text Summarization**Khalid N. Elmadani, Mukhtar Elgezouli, Anas Showk*2020 · 29 citations*](https://md.research.elamur.ai/free/en/papers/elmadani-2020-bert-fine-tuning-arabic-text/)
336. [**A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations**Samuel Rönnqvist, Niko Schenk, Christian Chiarcos*2017 · 27 citations*](https://md.research.elamur.ai/free/en/papers/ronnqvist-2017-recurrent-neural-model-attention-recognition/)
337. [**Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling**Hritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.*2024 · 26 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2024-smaller-weaker-yet-better-training/)
338. [**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/)
339. [**Distillation Scaling Laws**Dan Busbridge, Amitis Shidani, Floris Weers, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/busbridge-2025-distillation-scaling-laws/)
340. [**Multi-tasking Dialogue Comprehension with Discourse Parsing**Yuchen He, Zhuosheng Zhang, Hai Zhao*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-multi-tasking-dialogue-comprehension-discourse/)
341. [**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/)
342. [**CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models**Zixin Chen, Hongzhan Lin, Ziyang Luo, et al.*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-cofipara-coarse-fine-paradigm-multimodal/)
343. [**Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs**Firoj Alam, Md. Rafiul Biswas, Uzair Shah, et al.*2024 · 18 citations*](https://md.research.elamur.ai/free/en/papers/alam-2024-propaganda-hate-multimodal-analysis-arabic/)
344. [**The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results**Simon Mille, Anya Belz, Bernd Bohnet, et al.*2020 · 18 citations*](https://md.research.elamur.ai/free/en/papers/mille-2020-third-multilingual-surface-realisation-shared/)
345. [**A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution**Bowen Ding, Qingkai Min, Shengkun Ma, et al.*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/ding-2024-rationale-centric-counterfactual-data-augmentation/)
346. [**Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds**Igor Labutov, Bishan Yang, Anusha Prakash, et al.*2018 · 17 citations*](https://md.research.elamur.ai/free/en/papers/labutov-2018-multi-relational-question-answering-narratives/)
347. [**METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling**Bingxuan Li, Yiwei Wang, Jiuxiang Gu, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-metal-multi-agent-framework-chart/)
348. [**Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities**Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-adapting-llms-hebrew-unveiling-dictalm/)
349. [**Comparative Study of Multilingual Idioms and Similes in Large Language Models**Paria Khoshtab, Danial Namazifard, Mostafa Masoudi, et al.*2025 · 14 citations*](https://md.research.elamur.ai/free/en/papers/khoshtab-2025-comparative-study-multilingual-idioms-similes/)
350. [**Chinchilla Scaling: A replication attempt**Tamay Besiroglu, Ege Erdil, Matthew Barnett, et al.*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/besiroglu-2024-chinchilla-scaling-replication-attempt/)
351. [**AIN: The Arabic INclusive Large Multimodal Model**Ahmed Heakl, Sara Ghaboura, Omkar Thawkar, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/heakl-2025-ain-arabic-inclusive-large-multimodal/)
352. [**DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation**Federico Martelli, Stefano Perrella, Niccolò Campolungo, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/martelli-2025-dibimt-gold-evaluation-benchmark-studying/)
353. [**Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom**Shisen Yue, Siyuan Song, Xinyuan Cheng, et al.*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/yue-2024-do-large-language-models-understand/)
354. [**Pragmatic Competence Evaluation of Large Language Models for the Korean Language**Dojun Park, Jiwoo Lee, Hyeyun Jeong, et al.*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/park-2024-pragmatic-competence-evaluation-large-language/)
355. [**MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMs**Abdessalam Bouchekif; Shahd Gaben; Samer Rashwani; Somaya Eltanbouly; Mutaz Al-Khatib; Heba Sbahi; Mohammed Ghaly;, Emad Mohamed*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/bouchekif-2026-mawarith-dataset-benchmark-legal-inheritance/)
356. [**Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions**Farah Atif, Nursultan Askarbekuly, Kareem Darwish, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/atif-2025-sacred-synthetic-evaluating-llm-reliability/)
357. [**GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres**Jessica Lin, Amir Zeldes*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-gumsley-evaluating-entity-salience-summarization/)
358. [**Cutting Through the Noise: Boosting LLM Performance on Math Word Problems**Ujjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/anantheswaran-2024-cutting-through-noise-boosting-llm/)
359. [**RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework**Yifan Wang, Vera Demberg*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-rsa-control-pragmatics-grounded-lightweight/)
360. [**Amharic Abstractive Text Summarization**Amr M. Zaki, Mahmoud I. Khalil, Hazem M. Abbas*2020 · 7 citations*](https://md.research.elamur.ai/free/en/papers/zaki-2020-amharic-abstractive-text-summarization/)
361. [**MultiWikiQA: A Reading Comprehension Benchmark in 300+ Languages**Dan Saattrup Smart*2026 · 6 citations*](https://md.research.elamur.ai/free/en/papers/smart-2026-multiwikiqa-reading-comprehension-benchmark-300/)
362. [**OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA**Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/alam-2025-oasis-multilingual-multimodal-dataset-culturally/)
363. [**LLM Dependency Parsing with In-Context Rules**Michael Ginn, Alexis Palmer*2025 · 5 citations*](https://md.research.elamur.ai/free/en/papers/ginn-2025-llm-dependency-parsing-context-rules/)
364. [**MizanQA: Benchmarking Large Language Models on Moroccan Legal Question Answering**Adil Bahaj, Mounir Ghogho*2025 · 5 citations*](https://md.research.elamur.ai/free/en/papers/bahaj-2025-mizanqa-benchmarking-large-language-models/)
365. [**Mind the Gap... or Not? How Translation Errors and Evaluation Details Skew Multilingual Results**Jan-Thorsten Peter, David Vilar, Tobias Domhan, et al.*2026 · 4 citations*](https://md.research.elamur.ai/free/en/papers/peter-2026-mind-gap-or-not-how/)
366. [**A guide to the dataset explosion in QA, NLI, and commonsense reasoning**Anna Rogers, Anna Rumshisky*2020 · 4 citations*](https://md.research.elamur.ai/free/en/papers/rogers-2020-guide-dataset-explosion-qa-nli/)
367. [**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/)
368. [**ASOS at Arabic LLMs Hallucinations 2024: Can LLMs detect their Hallucinations :)**Serry Taiseer Sibaee, Abdullah I. Alharbi, Samar Ahmed, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/sibaee-2024-asos-arabic-llms-hallucinations-2024/)
369. [**Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs**Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2026-dicta-lm-3-0-advancing/)
370. [**WASIL: In-the-Wild Arabic Spoken Interactions with LLMs**Zien Sheikh Ali, Hamdy Mubarak, Soon-Gyo Jung, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/ali-2026-wasil-wild-arabic-spoken-interactions/)
371. [**AmaSQuAD: A Benchmark for Amharic Extractive Question Answering**Nebiyou Daniel Hailemariam, Blessed Guda, Tsegazeab Tefferi*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/hailemariam-2025-amasquad-benchmark-amharic-extractive-question/)
372. [**Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?**Perla Al Almaoui, Pierrette Bouillon, Simon Hengchen*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/almaoui-2025-arabizi-vs-llms-can-genie/)
373. [**Benchmarking the Legal Reasoning of LLMs in Arabic Islamic Inheritance Cases**Nouar AlDahoul, Yasir Zaki*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/aldahoul-2025-benchmarking-legal-reasoning-llms-arabic/)
374. [**Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models**Nouar AlDahoul, Yasir Zaki*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/aldahoul-2025-detecting-hope-hate-emotion-arabic/)
375. [**UI-Level Evaluation of ALLaM 34B: Measuring an Arabic-Centric LLM via HUMAIN Chat**Omer Nacar*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/nacar-2025-ui-level-evaluation-allam-34b/)
376. [**Culturally-Aware Image Captioning for Guaraní with Multimodal Prompting: IUHoosiers at AmericasNLP 2026**Wenchen Shi, Phakphum Artkaew, Luke Gessler*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shi-2026-culturally-aware-image-captioning-guarani/)
377. [**Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Tasks**Nouar AlDahoul, Yasir Zaki*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/aldahoul-2025-benchmarking-medical-understanding-reasoning-large/)
378. [**Cross-Lingual SynthDocs: A Large-Scale Synthetic Corpus for Any to Arabic OCR and Document Understanding**Haneen Al-Homoud; Asma Ibrahim; Murtadha Al-Jubran; Fahad Al-Otaibi; Yazeed Al-Harbi; Daulet Toibazar; Kesen Wang;, Pedro J. Moreno*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/al-homoud-2025-cross-lingual-synthdocs-large-scale/)
379. [**Multi-Agent Interactive Question Generation Framework for Long Document Understanding**Kesen Wang, Daulet Toibazar, Abdulrahman Alfulayt, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/wang-2025-multi-agent-interactive-question-generation/)
380. [**Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)**Zezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yang-2023-deep-learning-code/)
381. [**A Large-Scale Instruction-Tuning Dataset and Models for Slovenian Vision-Language Tasks**Matej Martinc, Domen Vreš*2026*](https://md.research.elamur.ai/free/en/papers/martinc-2026-large-scale-instruction-tuning-dataset/)
382. [**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/)
383. [**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/)
384. [**AnswerCarefully: Creating a Dataset for LLM Safety in Japanese**Hisami Suzuki, Satoru Katsumata, Takashi Kodama, et al.*2026*](https://md.research.elamur.ai/free/en/papers/suzuki-2026-answercarefully-creating-dataset-llm-safety/)
385. [**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/)
386. [**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/)
387. [**ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation**Khaled Elhady, Omar Kallas, Nizar Habash, et al.*2026*](https://md.research.elamur.ai/free/en/papers/elhady-2026-arabigee-hierarchical-taxonomy-arabic-grammatical/)
388. [**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/)
389. [**Cultural and Knowledge Biases in LLMs through the Lens of Entity-Aware Machine Translation**Lu Xu, Luca Moroni, Roberto Navigli*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-cultural-knowledge-biases-llms-through/)
390. [**Diff4TST: Masked Diffusion Language Model for Text Style Transfer**Xinchen Ma, Gaole He, Yunshi Lan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-diff4tst-masked-diffusion-language-model/)
391. [**Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/)
392. [**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/)
393. [**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/)
394. [**HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model**Noam Kayzer, Dan Revital, Ori Bar Joseph, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/)
395. [**HotelCheckSpan: A Benchmark Dataset for LLM Faithfulness**Patricia Schmidtova, Ondrej Dusek, Saad Mahamood*2026*](https://md.research.elamur.ai/free/en/papers/schmidtova-2026-hotelcheckspan-benchmark-dataset-llm-faithfulness/)
396. [**IndigiEval: Evaluating LLMs in North American Indigenous Languages**Julia Mainzinger, Jacqueline Brixey*2026*](https://md.research.elamur.ai/free/en/papers/mainzinger-2026-indigieval-evaluating-llms-north-american/)
397. [**InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in Summarization**Kosuke Nishida, Kyosuke Nishida, Itsumi Saito*2026*](https://md.research.elamur.ai/free/en/papers/nishida-2026-instructsum-benchmark-evaluate-instruction-following/)
398. [**Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language Models**Nasser A Alsadhan*2026*](https://md.research.elamur.ai/free/en/papers/alsadhan-2026-ai-catching-up-human-expression/)
399. [**Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages**Noam Dahan, Omer Kidron, Gabriel Stanovsky*2026*](https://md.research.elamur.ai/free/en/papers/dahan-2026-leveraging-digitized-newspapers-collect-summarization/)
400. [**Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights**Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/valero-2026-merge-conquer-instructing-multilingual-models/)

[← prev](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/3/) **4** [5](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/5/) [next →](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/page/5/)

- [← back to](https://md.research.elamur.ai/free/en/authors/tomas-kocisky/) — Tomáš Kočiský
