---
title: "Who cites Alan Schelten — page 29 — 13,386 citing papers"
description: "13,386 papers of the Elamur Research library cite the works of Alan Schelten, found in their bibliographies · page 29 of 29 · 2801–2850; the…"
canonical: "https://research.elamur.ai/free/en/authors/alan-schelten/cited-by/page/29/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/alan-schelten/cited-by/page/29/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Alan Schelten](https://md.research.elamur.ai/free/en/authors/alan-schelten/) / [cited by](https://md.research.elamur.ai/free/en/authors/alan-schelten/cited-by/) / page 29

# Who cites Alan Schelten

14,809 citations of their works from 13,386 papers of our library (of the 149,439 whose bibliographies we read) · 2,850 with a page here, the most cited first · page 29 of 29 · 2801–2850 · [← Alan Schelten](https://md.research.elamur.ai/free/en/authors/alan-schelten/)

[← prev](https://md.research.elamur.ai/free/en/authors/alan-schelten/cited-by/page/28/) [1](https://md.research.elamur.ai/free/en/authors/alan-schelten/cited-by/) … [20](https://md.research.elamur.ai/free/en/authors/alan-schelten/cited-by/page/20/) … [28](https://md.research.elamur.ai/free/en/authors/alan-schelten/cited-by/page/28/) **29**

2801. **[When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors](https://md.research.elamur.ai/free/en/papers/yang-2026-when-llms-read-tables-carelessly/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuqing Yang, Qi Zhu, Zhen Han, et al.*2026*
2802. **[When Models Decide and When They Bind: A Two-Stage Computation for Multiple-Choice Question Answering](https://md.research.elamur.ai/free/en/papers/wong-2026-when-models-decide-when-they/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hugh Mee Wong, Rick Nouwen, Albert Gatt*2026*
2803. **[When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs](https://md.research.elamur.ai/free/en/papers/sun-2026-when-personalization-misleads-understanding-mitigating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhongxiang Sun, Yi Zhan, Chenglei Shen, et al.*2026*
2804. **[When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/shalmani-2026-when-database-fails-prompting-llm/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Mohammad Alijanpour Shalmani, Alale Rezvani Boroujeni, Jiann S. Yuan*2026*
2805. **[When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*
2806. **[Where do LLMs currently stand on biomedical NER in both clean and noisy settings ?](https://md.research.elamur.ai/free/en/papers/ye-2026-where-do-llms-currently-stand/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Christophe Ye, Cassie S. Mitchell*2026*
2807. **[Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/yuan-2026-where-paths-split-localized-calibrated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenchen Yuan, Zheyu Zhang, Gjergji Kasneci*2026*
2808. **[Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed Refinement](https://md.research.elamur.ai/free/en/papers/shim-2026-which-bird-does-not-have/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Midan Shim, Seokju Hwang, KaeHyun Um, et al.*2026*
2809. **[Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM Judges](https://md.research.elamur.ai/free/en/papers/welivita-2026-who-generates-more-empathetic-responses/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Anuradha Welivita, Fawzia Zeitoun, Pearl Pu*2026*
2810. **[Who Speaks for Whom? LLM-Generated Survey Data as a Proxy for Public Opinion](https://md.research.elamur.ai/free/en/papers/venkatakrishnan-2026-who-speaks-whom-llm-generated/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Radhakrishnan Venkatakrishnan, Travis Brodbeck, Michael D. Young*2026*
2811. **[Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-why-does-reinforcement-learning-generalize/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dan Shi, Zhuowen Han, Simon Ostermann, et al.*2026*
2812. **[WildReward: Learning Reward Models from In-the-Wild Human Interactions](https://md.research.elamur.ai/free/en/papers/peng-2026-wildreward-learning-reward-models-wild/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2026*
2813. **[Will it Merge? On The Causes of Model Mergeability](https://md.research.elamur.ai/free/en/papers/rahamim-2026-will-it-merge-causes-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Adir Rahamim, Asaf Yehudai, Boaz Carmeli, et al.*2026*
2814. [**WinoQueer-NL: Assessing Bias in Dutch Language Models toward LGBTQ+ Identities arXiv:2609.02651**Jiska Beuk, Gerasimos Spanakis*2026*](https://md.research.elamur.ai/free/en/papers/beuk-2026-winoqueer-nl-assessing-bias-dutch/)
2815. **[XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts](https://md.research.elamur.ai/free/en/papers/xu-2026-xmark-reliable-multi-bit-watermarking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiahao Xu, Rui Hu, Olivera Kotevska, et al.*2026*
2816. **[Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Models](https://md.research.elamur.ai/free/en/papers/verhoeven-2026-yesterday-s-news-benchmarking-multi/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivo Verhoeven, Pushkar Mishra, Ekaterina Shutova*2026*
2817. **[YNU-HPCC at SemEval-2026 Task 11: Mitigating Content Effects in Syllogistic Reasoning with Qwen2-1.5B-Instruct and XLM-RoBERTa-Large for English and Multilingual TasksMultilingual Tasks](https://md.research.elamur.ai/free/en/papers/luo-2026-ynu-hpcc-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rongchuan Luo, Jin Wang, Xuejie Zhang*2026*
2818. **[YNU-HPCC at SemEval-2026 Task 13: Robust Machine-Generated Code Detection under Distribution Shifts](https://md.research.elamur.ai/free/en/papers/xing-2026-ynu-hpcc-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Lixian Xing, Jin Wang, Xuejie Zhang*2026*
2819. **[YNU-HPCC at SemEval-2026 Task 6: Hierarchical Taxonomy Prompting and CoT Distillation for Political Clarity Classification](https://md.research.elamur.ai/free/en/papers/wen-2026-ynu-hpcc-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Canning Wen, Jin Wang, Xuejie Zhang*2026*
2820. **[You Only Need One Single Token to Refine Safety Alignment](https://md.research.elamur.ai/free/en/papers/yu-2026-you-only-need-one-single/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqian Yu, Shuo Chen, Zhijiang Li, et al.*2026*
2821. **[ZIP: Quantifying Which Words Matter in Zero-Shot Instructional Prompts](https://md.research.elamur.ai/free/en/papers/sadr-2026-zip-quantifying-which-words-matter/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.*2026*
2822. **[ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval](https://md.research.elamur.ai/free/en/papers/yang-2026-zoomr-memory-efficient-reasoning-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**David H. Yang, Yuxuan Zhu, Mohammad Mohammadi Amiri, et al.*2026*
2823. **[“Decode the Law”: Towards Legal Text Simplification with Large Language Models](https://md.research.elamur.ai/free/en/papers/rabbani-2026-decode-law-legal-text-simplification/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.*2026*
2824. **[“Excuse me, may I say something...” CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations](https://md.research.elamur.ai/free/en/papers/wu-2026-excuse-me-may-i-say/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Wu, Jinhong Yu, Jingwei Xiong, et al.*2026*
2825. **[A MISMATCHED Benchmark for Scientific Natural Language Inference](https://md.research.elamur.ai/free/en/papers/shaik-2025-mismatched-benchmark-scientific-natural-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Firoz Shaik, Mobashir Sadat, Nikita Gautam, et al.*2025*
2826. [**AI-Driven Generation of Old English: A Framework for Low-Resource Languages**Rodrigo Gabriel Salazar Alva, Matias Nunez, Cristian Lopez, et al.*2025*](https://md.research.elamur.ai/free/en/papers/alva-2025-ai-driven-generation-old-english/)
2827. **[Aligning Language Models for Icelandic Legal Text Summarization](https://md.research.elamur.ai/free/en/papers/dharson-2025-aligning-language-models-icelandic-legal/) [Nordic Conference on Computational Linguistics (NoDaLiDa)](https://md.research.elamur.ai/free/en/venues/nodalida/)**Þórir Hrafn Harðarson, Hrafn Loftsson, Stefán Ólafsson*2025*
2828. [**Are Lexicon-Based Tools Still the Gold Standard for Valence Analysis in Low-Resource Flemish? arXiv:2506.04139 · Presented at LLM Evaluation Workshop, NeurIPS 2025**Ratna Kandala, Katie Hoemann*2025*](https://md.research.elamur.ai/free/en/papers/kandala-2025-lexicon-based-tools-still-gold/)
2829. [**Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述) Acta Automatica Sinica (自动化学报)**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/)
2830. **[LC-Eval: A Bilingual Multi-Task Evaluation Benchmark for Long-Context Understanding](https://md.research.elamur.ai/free/en/papers/jubair-2025-lc-eval-bilingual-multi-task/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sheikh Jubair, Arwa Omayrah, Amal Alshammari, et al.*2025*
2831. **[Math Natural Language Inference: this should be easy!](https://md.research.elamur.ai/free/en/papers/paiva-2025-math-natural-language-inference-this/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Valeria de Paiva, Qiyue Gao, Hai Hu, et al.*2025*
2832. **[mucAI at Ahasis Shared Task: Sentiment Analysis with Adaptive Few Shot Prompting](https://md.research.elamur.ai/free/en/papers/abdou-2025-mucai-ahasis-shared-task-sentiment/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Ahmed Mohamed Abdelaal Abdou*2025*
2833. **[Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/anikina-2025-reverse-probing-evaluating-knowledge-transfer/) [Workshop on Representation Learning for NLP](https://md.research.elamur.ai/free/en/venues/repl4nlp/)**Tatiana Anikina, Arne Binder, David Harbecke, et al.*2025*
2834. **[SLENDER: Structured Outputs for SLM-based NER in Low-Resource Englishes](https://md.research.elamur.ai/free/en/papers/ren-2025-slender-structured-outputs-slm-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nicole Ren, James Teo*2025*
2835. [**Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM Responses arXiv:2511.23041**Dong Nguyen, Laura Rosseel*2025*](https://md.research.elamur.ai/free/en/papers/nguyen-2025-social-perceptions-english-spelling-variation/)
2836. [**Survey of Tool Use in Large Language Models (大语言模型的工具使用综述) Acta Automatica Sinica (自动化学报)**Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zheng-2025-tool-use-large/)
2837. **[Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)](https://md.research.elamur.ai/free/en/papers/dong-2025-code-generation-llm/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.*2025*
2838. **[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)](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*
2839. **[The UD-NewsCrawl Treebank: Reflections and Challenges from a Large-scale Tagalog Syntactic Annotation Project](https://md.research.elamur.ai/free/en/papers/aquino-2025-ud-newscrawl-treebank-reflections-challenges/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Angelina Aspra Aquino, Lester James Validad Miranda, Elsie Marie T. Or*2025*
2840. **[TounsiBench: Benchmarking Large Language Models for Tunisian Arabic](https://md.research.elamur.ai/free/en/papers/hassine-2025-tounsibench-benchmarking-large-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Souha Ben Hassine, Asma Arrak, Marouene Addhoum, et al.*2025*
2841. [**Towards an Integrated Methodology of Dating Biblical Texts: The Case of the Book of Jeremiah**Martijn Naaijer, Aren Wilson-Wright*2025*](https://md.research.elamur.ai/free/en/papers/naaijer-2025-integrated-methodology-dating-biblical-texts/)
2842. [**360Zhinao Technical Report arXiv:2405.13386***2024*](https://md.research.elamur.ai/free/en/papers/360zhinao-team-2024-360zhinao-technical-report/)
2843. **[Automated Speech Act Classification in Offensive German Language Tweets](https://md.research.elamur.ai/free/en/papers/plakidis-2025-automated-speech-act-classification-offensive/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Melina Plakidis, Elena Leitner, Georg Rehm*2024*
2844. **[Building and evaluating a Japanese-English bilingual model by vocabulary-replacing continual pretraining (語彙置換継続事前学習による日英バイリンガルモデルの構築と評価)](https://md.research.elamur.ai/free/en/papers/asaba-2024-building-evaluating-japanese-english/) [Annual Meeting of the Association for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/annual-meeting-of-the-association-for-natural-language-processing/)**麻場直喜, 野崎雄太, 中島大, et al.*2024*
2845. **[Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)](https://md.research.elamur.ai/free/en/papers/arasawa-2024-can-generative-ai-recognise/) [Annual Meeting of the Association for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/annual-meeting-of-the-association-for-natural-language-processing/)**荒沢康平, 狩野芳伸*2024*
2846. **[Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English](https://md.research.elamur.ai/free/en/papers/abdalla-2024-comparison-multilingual-bilingual-models-satirical/) [Annual Workshop of the Australasian Language Technology Association (ALTA)](https://md.research.elamur.ai/free/en/venues/alta/)**Omar W. Abdalla, Aditya Joshi, Rahat Masood, et al.*2024*
2847. **[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)](https://md.research.elamur.ai/free/en/papers/antoine-2024-etude-des-facteurs-de-complexite/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.*2024*
2848. **[Examining Gender and Power on Wikipedia through Face and Politeness](https://md.research.elamur.ai/free/en/papers/soubki-2024-examining-gender-power-wikipedia-through/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Adil Soubki, Shyne E. Choi, Owen Rambow*2024*
2849. [**Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English arXiv:2410.11216**Dipankar Srirag, Jordan Painter, Aditya Joshi, et al.*2024*](https://md.research.elamur.ai/free/en/papers/srirag-2024-experiences-creating-benchmark-sentiment-classification/)
2850. [**From Foundation Intelligence to General Intelligence: Status and Prospects of Large-Model-Based GenAI and AGI (从基础智能到通用智能: 基于大模型的GenAI和AGI之现状与展望) Acta Automatica Sinica (自动化学报)**Qinghai Miao (缪青海), Xingxia Wang (王兴霞), Jing Yang (杨静), et al.*2024*](https://md.research.elamur.ai/free/en/papers/miao-2024-foundation-intelligence-general/)

[← prev](https://md.research.elamur.ai/free/en/authors/alan-schelten/cited-by/page/28/) [1](https://md.research.elamur.ai/free/en/authors/alan-schelten/cited-by/) … [20](https://md.research.elamur.ai/free/en/authors/alan-schelten/cited-by/page/20/) … [28](https://md.research.elamur.ai/free/en/authors/alan-schelten/cited-by/page/28/) **29**

10,536 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/alan-schelten/) — Alan Schelten