---
title: "Who cites Ed H. Chi — page 4 — 1,423 papers of our library"
description: "1,423 papers of the Elamur Research library cite the works of Ed H. Chi, found in their bibliographies · page 4 of 4 · 301–341; the most cited first."
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---
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# Who cites Ed H. Chi

1,448 citations of their works from 1,423 papers of our library (of the 149,439 whose bibliographies we read) · 341 with a page here, the most cited first · page 4 of 4 · 301–341 · [← Ed H. Chi](https://md.research.elamur.ai/free/en/authors/ed-h-chi/)

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

301. [**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) Acta Automatica Sinica (自动化学报)**Anda Tang (唐岸达), Zhouchen Lin (林宙辰)*2026*](https://md.research.elamur.ai/free/en/papers/tang-2026-parameter-efficient-fine/)
302. **[Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal Reflection](https://md.research.elamur.ai/free/en/papers/xue-2026-benchmarking-mitigating-impact-noisy-user/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani*2026*
303. **[Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical Reasoning](https://md.research.elamur.ai/free/en/papers/merenda-2026-can-llms-reason-like-doctors/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Flavio Merenda, Jose Manuel Gomez-Perez, German Rigau*2026*
304. **[CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-checkrlm-effective-knowledge-thought-coherence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dingling Xu, Ruobing Wang, Qingfei Zhao, et al.*2026*
305. **[C³D: Enhancing LLM Reasoning via Confidence-Guided Contrastive Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-c-3-d-enhancing-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yufeng Zhang, Xuepeng Wang, Lingxiang Wu, et al.*2026*
306. **[FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted Reasoner](https://md.research.elamur.ai/free/en/papers/wu-2026-flair-steering-llm-mathematical-problem/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Wu, Hongru Sun, Wanqing Li, et al.*2026*
307. **[From Rules to Predictions: Federated Tabular Learning with LLM Reasoning](https://md.research.elamur.ai/free/en/papers/mahanipour-2026-rules-predictions-federated-tabular-learning/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Afsaneh Mahanipour, Hana Khamfroush*2026*
308. **[Gradient-Guided Multi-Judge Prompt Optimization](https://md.research.elamur.ai/free/en/papers/zhao-2026-gradient-guided-multi-judge-prompt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**ChenZhuo Zhao, Xinda Wang, Pu Zhao, et al.*2026*
309. **[GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-Making](https://md.research.elamur.ai/free/en/papers/shin-2026-graphmind-llms-as-dynamic-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sunguk Shin, Hayeong Lee, Jun Ho Seo, et al.*2026*
310. **[Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?](https://md.research.elamur.ai/free/en/papers/meyer-2026-headlines-you-won-t-forget/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Selina Meyer, Magdalena Abel, Michael Roth*2026*
311. **[How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective](https://md.research.elamur.ai/free/en/papers/nguyen-2026-how-do-llms-generate-contrastive/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Van Bach Nguyen, Jörg Schlötterer, Christin Seifert*2026*
312. **[KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-knowledgeberg-evaluating-systematic-knowledge-coverage/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiao Zhang, Qianru Meng, Yongjian Chen, et al.*2026*
313. **[Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models](https://md.research.elamur.ai/free/en/papers/pham-2026-layer-wise-high-impact-parameter/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cuong Pham, Anh Dung Hoang, Cuong C. Nguyen, et al.*2026*
314. **[Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments](https://md.research.elamur.ai/free/en/papers/mi-2026-logical-consistency-as-bridge-improving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Mi, Qiang Sheng, Shaofei Wang, et al.*2026*
315. **[MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/xiao-2026-mass-rag-multi-agent-synthesis/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingchen Xiao, Heyan Huang, Runheng Liu, et al.*2026*
316. **[Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs](https://md.research.elamur.ai/free/en/papers/zhu-2026-memorization-emergence-explaining-reversal-failures/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yihua Zhu, Qianying Liu, Jiaxin Wang, et al.*2026*
317. **[Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting](https://md.research.elamur.ai/free/en/papers/xia-2026-merlin-s-whisper-enabling-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Heming Xia, Cunxiao Du, Rui Li, et al.*2026*
318. **[Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling](https://md.research.elamur.ai/free/en/papers/liu-2026-mitigating-judgment-preference-bias-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuliang Liu, Zhipeng Xu, Zhenghao Liu, et al.*2026*
319. **[Mixture of Heterogeneous Grouped Experts for Language Modeling](https://md.research.elamur.ai/free/en/papers/ma-2026-mixture-heterogeneous-grouped-experts-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhicheng Ma, Xiang Liu, Zhaoxiang Liu, et al.*2026*
320. **[On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weichuan Wang, Mingyang Liu, Chen Ma, et al.*2026*
321. **[On the Additive Compositionality of Task Vectors in Vision–Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-additive-compositionality-task-vectors-vision/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yuting Shi, Houjing Wei, Naoya Inoue*2026*
322. [**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) Acta Automatica Sinica (自动化学报)**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/)
323. **[Repairing Regex Vulnerabilities via Localization-Guided Instructions](https://md.research.elamur.ai/free/en/papers/sung-2026-repairing-regex-vulnerabilities-localization-guided/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sicheol Sung, Joonghyuk Hahn, Yo-Sub Han*2026*
324. **[Representation-Guided Parameter-Efficient LLM Unlearning](https://md.research.elamur.ai/free/en/papers/xiao-2026-representation-guided-parameter-efficient-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zeguan Xiao, Lang Mo, Yun Chen, et al.*2026*
325. **[Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection](https://md.research.elamur.ai/free/en/papers/niu-2026-routing-generated-data-annotation-free/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyi Niu, Justin Chen, Genta Indra Winata, et al.*2026*
326. **[Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal Exploration](https://md.research.elamur.ai/free/en/papers/wang-2026-student-guides-teacher-weak-strong/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dayu Wang, Jiaye Yang, Weikang Li, et al.*2026*
327. **[Task-Related In-Context Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-task-related-context-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqiang Wang, Peng Chen, Yan Xiao, et al.*2026*
328. **[TeachMaster: Generative Teaching via Code](https://md.research.elamur.ai/free/en/papers/wang-2026-teachmaster-generative-teaching-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuheng Wang, Runde Yang, Lin Wu, et al.*2026*
329. **[The Conundrum of Trustworthy Research on Attacking Personally Identifiable Information Removal Techniques](https://md.research.elamur.ai/free/en/papers/ochs-2026-conundrum-trustworthy-research-attacking-personally/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Sebastian Ochs, Ivan Habernal*2026*
330. **[The Imperfective Paradox in Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2026-imperfective-paradox-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bolei Ma, Yusuke Miyao*2026*
331. **[Thesis Proposal: Intentional Inference for Insight Generation](https://md.research.elamur.ai/free/en/papers/onderkova-2026-thesis-proposal-intentional-inference-insight/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kristýna Onderková*2026*
332. **[Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human Data](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-cognitive-alignment-large-language-models/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Wajdi Zaghouani*2026*
333. **[TrustTable: A Neuro-Symbolic Auditing Framework for Faithful Table QA](https://md.research.elamur.ai/free/en/papers/zhao-2026-trusttable-neuro-symbolic-auditing-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangzhen Zhao, Dechang Kong, Tongyu Wu, et al.*2026*
334. **[UCS: Estimating Unseen Coverage for Improved In-Context Learning](https://md.research.elamur.ai/free/en/papers/xin-2026-ucs-estimating-unseen-coverage-improved/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiayi Xin, Xiang Li, Evan Qiang, et al.*2026*
335. **[UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-unac-adaptive-visual-prompting-abstraction/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifan Wang, Yun Fu*2026*
336. **[Vinclat: Evaluating Reasoning, Cognition and Culture in One Game](https://md.research.elamur.ai/free/en/papers/pamies-2026-vinclat-evaluating-reasoning-cognition-culture/) [Workshop on Multilingual Multicultural Evaluation](https://md.research.elamur.ai/free/en/venues/mme/)**Marc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.*2026*
337. **[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*
338. **[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*
339. **[A Topicality-Driven QUD Model for Discourse Processing](https://md.research.elamur.ai/free/en/papers/fu-2025-topicality-driven-qud-model-discourse/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Yingxue Fu, Mark-Jan Nederhof, Anais Ollagnier*2025*
340. **[Probing the Hidden Talent of ASR Foundation Models for L2 English Oral Assessment](https://md.research.elamur.ai/free/en/papers/chao-2025-probing-hidden-talent-asr-foundation/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Fu-An Chao, Bi-Cheng Yan, Berlin Chen*2025*
341. **[DiaSet: An Annotated Dataset of Arabic Conversations](https://md.research.elamur.ai/free/en/papers/israeli-2024-diaset-annotated-dataset-arabic-conversations/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Abraham Israeli, Aviv Naaman, Guy Maduel, et al.*2024*

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