---
title: "Who cites Heinrich Kuttler — page 8 — 3,463 citing papers"
description: "3,463 papers of the Elamur Research library cite the works of Heinrich Kuttler, found in their bibliographies · page 8 of 8 · 701–728; the most…"
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# Who cites Heinrich Kuttler

3,530 citations of their works from 3,463 papers of our library (of the 149,439 whose bibliographies we read) · 728 with a page here, the most cited first · page 8 of 8 · 701–728 · [← Heinrich Kuttler](https://md.research.elamur.ai/free/en/authors/heinrich-kuttler/)

[← prev](https://md.research.elamur.ai/free/en/authors/heinrich-kuttler/cited-by/page/7/) [1](https://md.research.elamur.ai/free/en/authors/heinrich-kuttler/cited-by/) … [7](https://md.research.elamur.ai/free/en/authors/heinrich-kuttler/cited-by/page/7/) **8**

701. **[The Generator-Eraser Paradox: Community Guidelines for Responsible LLM-Assisted Dialect Resource Creation](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-generator-eraser-paradox-community-guidelines/) [Workshop on Dialects in NLP –- A Resource Perspective](https://md.research.elamur.ai/free/en/venues/dialres/)**Wajdi Zaghouani*2026*
702. **[The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG](https://md.research.elamur.ai/free/en/papers/zhou-2026-retrieval-bottleneck-scaling-laws-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shu Zhou, Jinman Leng, Yufei Song, et al.*2026*
703. **[Thesis Proposal: On the Granularity-Robustness Trade-off in Text-Derived Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/pralomram-2026-thesis-proposal-granularity-robustness-trade/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Surawat Pralomram*2026*
704. **[Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/liu-2026-think-parallax-solving-multi-hop/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinliang Liu, Jiale Bai, Shaoning Zeng*2026*
705. **[Topic-Initiator: A Proactive Chatbot with Personalized Topic RAG for Enhancing Willingness to Converse](https://md.research.elamur.ai/free/en/papers/matsuo-2026-topic-initiator-proactive-chatbot-personalized/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kazuya Matsuo, Atsushi Otsuka, Narichika Nomoto, et al.*2026*
706. **[TopoRAG: Graph-based RAG via Topology-aware Approximate Nearest Neighbor Search](https://md.research.elamur.ai/free/en/papers/wu-2026-toporag-graph-based-rag-topology/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tianhao Wu, Siqiang Luo*2026*
707. **[TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG](https://md.research.elamur.ai/free/en/papers/lu-2026-tpa-next-token-probability-attribution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengqian Lu, Jie Lu, Anjin Liu, et al.*2026*
708. **[Training-Free Test-Time Contrastive Learning for Large Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-training-free-test-time-contrastive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaiwen Zheng, Kai Zhou, Jinwu Hu, et al.*2026*
709. **[Transfer Learning for Generalizable Automated LLM Improvement Pipeline for IVR Navigation](https://md.research.elamur.ai/free/en/papers/ram-2026-transfer-learning-generalizable-automated-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vishal Sankar Ram, Jason Kushner, Manas Paldhe, et al.*2026*
710. **[uircis at SemEval-2026 Task 8: A Unified Lightweight Pipeline for Multi-Turn RAG Evaluation](https://md.research.elamur.ai/free/en/papers/zhang-2026-uircis-semeval-2026-task-8/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jiaqi Zhang, Wenbin Duan, Yingqi Zhang, et al.*2026*
711. **[Uncovering Currency Bias and Syntax Gap in Text Embedding Models](https://md.research.elamur.ai/free/en/papers/sudevan-2026-uncovering-currency-bias-syntax-gap/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Saurav Sudevan, Harsh Pal, Yatin Katyal, et al.*2026*
712. **[Uncovering Ideological Bias in RAG with Lexical Multidimensional Analysis: A Case Study on COVID-19](https://md.research.elamur.ai/free/en/papers/salari-2026-uncovering-ideological-bias-rag-lexical/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Elmira Salari, Maria Claudia Nunes Delfino, Hazem Amamou, et al.*2026*
713. **[Understanding the Behaviors of Environment-aware Information Retrieval](https://md.research.elamur.ai/free/en/papers/yuan-2026-understanding-behaviors-environment-aware-information/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruifeng Yuan, Chaohao Yuan, David Dai, et al.*2026*
714. **[Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning](https://md.research.elamur.ai/free/en/papers/park-2026-verbal-r3-verbal-reranker-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sangkwon Park, Donghun Kang, Jisoo Mok, et al.*2026*
715. **[VERICITE: Evaluating Sentence-Level Citation Faithfulness in Retrieval-Augmented Medical Question Answering](https://md.research.elamur.ai/free/en/papers/ma-2026-vericite-evaluating-sentence-level-citation/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Yixian Ma, Bohao Chu, Norbert Fuhr*2026*
716. **[Visual and Memory–Augmented Soccer Commentary Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-visual-memory-augmented-soccer-commentary/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoran Sun, Natthawut Kertkeidkachorn, Kiyoaki Shirai*2026*
717. **[What Deserves Memory: Adaptive Memory Distillation for LLM Agents](https://md.research.elamur.ai/free/en/papers/ma-2026-what-deserves-memory-adaptive-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenquan Ma, Jiayan Nan, WenLong Wu*2026*
718. **[What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance](https://md.research.elamur.ai/free/en/papers/watson-2026-what-makes-good-query-measuring/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**William Watson, Nicole Cho, Sumitra Ganesh, et al.*2026*
719. **[When Facts Change: Temporal Knowledge Conflict Resolution in LLMs](https://md.research.elamur.ai/free/en/papers/wallat-2026-when-facts-change-temporal-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jonas Wallat, Wolfgang Nejdl, Sandipan Sikdar*2026*
720. **[When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-when-good-ocr-is-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lin Sun, Wangdexian, Jingang Huang, et al.*2026*
721. **[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*
722. **[Whom to Trust? Analyzing the Divergence Between User Satisfaction and LLM-as-a-Judge in E-Commerce RAG Systems](https://md.research.elamur.ai/free/en/papers/turkmen-2026-whom-trust-analyzing-divergence-between/) [Workshop on Multilingual Multicultural Evaluation](https://md.research.elamur.ai/free/en/venues/mme/)**Arif Türkmen, Kaan Efe Keleş*2026*
723. [**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/)
724. **[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*
725. **[Enhancing Arabic Retrieval Augmented Generation through Language Processing](https://md.research.elamur.ai/free/en/papers/saleh-2025-enhancing-arabic-retrieval-augmented-generation/) [International Conference on Natural Language and Speech Processing](https://md.research.elamur.ai/free/en/venues/icnlsp/)**Shadi Saleh, Belkacem EL Jattari, Layth Oud, et al.*2025*
726. **[Huaputong: Large Language Model for Genealogical Question-answering with Knowledge Reasoning (华谱通: 基于知识推理的家谱问答大语言模型)](https://md.research.elamur.ai/free/en/papers/wu-2025-huaputong-large-language/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xindong Wu (吴信东), Xingrui Zhuo (卓兴锐), Yongpan Chang (常永泮), et al.*2025*
727. [**LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language Models arXiv:2510.23011**Sammriddh Gupta, Sonit Singh, Aditya Joshi, et al.*2025*](https://md.research.elamur.ai/free/en/papers/gupta-2025-langlingual-personalised-exercise-oriented-english/)
728. **[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*

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