---
title: "Who cites Yonghao Zhuang — page 9 — 3,504 citing papers"
description: "3,504 papers of the Elamur Research library cite the works of Yonghao Zhuang, found in their bibliographies · page 9 of 9 · 801–859; the…"
canonical: "https://research.elamur.ai/free/en/authors/yonghao-zhuang/cited-by/page/9/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yonghao-zhuang/cited-by/page/9/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yonghao Zhuang](https://md.research.elamur.ai/free/en/authors/yonghao-zhuang/) / [cited by](https://md.research.elamur.ai/free/en/authors/yonghao-zhuang/cited-by/) / page 9

# Who cites Yonghao Zhuang

3,602 citations of their works from 3,504 papers of our library (of the 149,439 whose bibliographies we read) · 859 with a page here, the most cited first · page 9 of 9 · 801–859 · [← Yonghao Zhuang](https://md.research.elamur.ai/free/en/authors/yonghao-zhuang/)

[← prev](https://md.research.elamur.ai/free/en/authors/yonghao-zhuang/cited-by/page/8/) [1](https://md.research.elamur.ai/free/en/authors/yonghao-zhuang/cited-by/) … [8](https://md.research.elamur.ai/free/en/authors/yonghao-zhuang/cited-by/page/8/) **9**

801. **[Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize](https://md.research.elamur.ai/free/en/papers/wang-2026-self-sum-teaching-agent-decide/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongru Wang, Rui Wang, Jushi Kai, et al.*2026*
802. **[SGVEF-LOOP: Coverage-Guided Progressive Topological Exploration and Fact-Grounded Metamorphic Evaluation for MCP Agents](https://md.research.elamur.ai/free/en/papers/liu-2026-sgvef-loop-coverage-guided-progressive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zenghao Liu, Yansong Zhang*2026*
803. **[SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models](https://md.research.elamur.ai/free/en/papers/mai-2026-sharedrequest-privacy-preserving-model-agnostic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peihua Mai, Xuanrong Gao, Youlong Ding, et al.*2026*
804. **[Show or Tell? Modeling the evolution of request-making in Human-LLM conversations](https://md.research.elamur.ai/free/en/papers/zhu-2026-show-or-tell-modeling-evolution/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shengqi Zhu, Jeffrey Rzeszotarski, David Mimno*2026*
805. **[Silencing the Guardrails: Inference-Time Jailbreaking via Dynamic Contextual Representation Ablation](https://md.research.elamur.ai/free/en/papers/xing-2026-silencing-guardrails-inference-time-jailbreaking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenpeng Xing, Moran Fang, Guangtai Wang, et al.*2026*
806. **[Smarter edits? Post-editing with error highlights and translation suggestions](https://md.research.elamur.ai/free/en/papers/tellingen-2026-smarter-edits-post-editing-error/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Fleur V.J. van Tellingen, Gautam Ranka, Dora Žugčić, et al.*2026*
807. **[Social-RAG: A Retrieval-Augmented Generation Pipeline for Computational Social Science Research on Telegram](https://md.research.elamur.ai/free/en/papers/nascimento-2026-social-rag-retrieval-augmented-generation/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Leonardo Nascimento, Eric Brasil, Arthur Lima, et al.*2026*
808. **[SPIDE: Serial and Parallel Intertwined Speculative Decoding](https://md.research.elamur.ai/free/en/papers/xu-2026-spide-serial-parallel-intertwined-speculative/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenru Xu, Peixuan Xu, Ziqi Yang, et al.*2026*
809. **[StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation](https://md.research.elamur.ai/free/en/papers/zheng-2026-stealthgraph-exposing-domain-specific-risks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huawei Zheng, Xinqi Jiang, Sen Yang, et al.*2026*
810. [**SteuerLLM: Local specialized large language model for German tax law analysis arXiv:2602.11081 · Scientific Reports, Volume 16, 2026**Sebastian Wind, Jeta Sopa, Laurin Schmid, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wind-2026-steuerllm-local-specialized-large-language/)
811. **[STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains](https://md.research.elamur.ai/free/en/papers/steinigen-2026-strudel-unrolling-benchmark-evaluating-vision/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Daniel Steinigen, Lucie Flek, Sebastian Houben*2026*
812. **[Stylistic Transfer from Annotator Communities to Large Language Models](https://md.research.elamur.ai/free/en/papers/chooi-2026-stylistic-transfer-annotator-communities-large/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Jay Chooi*2026*
813. **[Suppressing Final Layer Hidden State Jumps in Transformer Pretraining](https://md.research.elamur.ai/free/en/papers/shibata-2026-suppressing-final-layer-hidden-state/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Keigo Shibata, Kazuki Yano, Ryosuke Takahashi, et al.*2026*
814. **[Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue](https://md.research.elamur.ai/free/en/papers/utting-2026-surprisal-minimisation-over-goal-directed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Thomas P. Utting, Mario Giulianelli, Arabella Sinclair*2026*
815. **[SynthAgent: Adapting Web Agents with Synthetic Supervision](https://md.research.elamur.ai/free/en/papers/wang-2026-synthagent-adapting-web-agents-synthetic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.*2026*
816. **[Synthetic Data Generation for Training Diversified Commonsense Reasoning Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-synthetic-data-generation-training-diversified/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianhui Zhang, Bei Peng, Danushka Bollegala*2026*
817. **[Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/schaffelder-2026-synthetic-eggs-many-baskets-impact/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Max Schaffelder, Albert Gatt*2026*
818. **[Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-Tuning](https://md.research.elamur.ai/free/en/papers/stenlund-2026-synthetic-instruction-generation-low-resource/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.*2026*
819. **[TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like Models](https://md.research.elamur.ai/free/en/papers/wang-2026-tare-lightweight-token-aware-representation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yulong Wang, Siyu Zhao*2026*
820. **[Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment from Heterogeneous Rewards](https://md.research.elamur.ai/free/en/papers/zeng-2026-teaching-llm-be-persuasive-reward/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xia Zeng, Yihan Chen, Luhui Liu, et al.*2026*
821. **[Teaching LLMs to unveil tendentious implicit contents of Italian political communication](https://md.research.elamur.ai/free/en/papers/paci-2026-teaching-llms-unveil-tendentious-implicit/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Walter Paci, Lorenzo Gregori, Alessandro Panunzi*2026*
822. **[Teaching People LLM's Errors and Getting it Right](https://md.research.elamur.ai/free/en/papers/stringham-2026-teaching-people-llm-s-errors/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Nathan Stringham, Fateme Hashemi Chaleshtori, Xinyuan Yan, et al.*2026*
823. **[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*
824. **[Text-Guided Multi-Scale Frequency Representation Adaptation](https://md.research.elamur.ai/free/en/papers/yan-2026-text-guided-multi-scale-frequency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weicai Yan, Xinhua Ma, Wang Lin, et al.*2026*
825. **[TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action](https://md.research.elamur.ai/free/en/papers/zhou-2026-textminex-data-evaluation-framework-ontology/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.*2026*
826. **[The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check](https://md.research.elamur.ai/free/en/papers/lu-2026-bitter-lesson-diffusion-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Lu, Liang Ding, Kanjian Zhang, et al.*2026*
827. **[The Challenge of Identifying the Origin of Black-Box Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-challenge-identifying-origin-black-box/) [Workshop on Privacy in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/privatenlp/)**Ziqing Yang, Yixin Wu, Yun Shen, et al.*2026*
828. **[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*
829. **[Thesis Proposal: Multimodal Benchmark for Music Understanding in Large Language Models](https://md.research.elamur.ai/free/en/papers/sourada-2026-thesis-proposal-multimodal-benchmark-music/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tomáš Sourada*2026*
830. **[Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI Alignment](https://md.research.elamur.ai/free/en/papers/pandita-2026-thesis-proposal-human-centered-perspective/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Deepak Pandita, Christopher M. Homan*2026*
831. **[Thinking Like a Botanist: Challenging Multimodal Language Models with Intent Driven Chain-of-Inquiry](https://md.research.elamur.ai/free/en/papers/sakib-2026-thinking-like-botanist-challenging-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Syed Nazmus Sakib, Nafiul Haque, Shahrear Bin Amin, et al.*2026*
832. **[TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs](https://md.research.elamur.ai/free/en/papers/xiao-2026-tokentiming-dynamic-alignment-method-universal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sibo Xiao, Fu Jinyuan, Zhongle Xie, et al.*2026*
833. **[ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood Model](https://md.research.elamur.ai/free/en/papers/wang-2026-tomelp-theory-mind-benchmark-route/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ruirui Wang, Haoran Zhang, Tian Lan, et al.*2026*
834. **[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*
835. **[Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and Humanities](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-responsible-epistemically-grounded-multilingual-llms/) [Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC](https://md.research.elamur.ai/free/en/venues/llms4ssh/)**Wajdi Zaghouani*2026*
836. **[Towards Knowledge Graph-Grounded Evaluation of Agentic LLMs on Cybersecurity Capture-the-Flag Challenges](https://md.research.elamur.ai/free/en/papers/schlor-2026-knowledge-graph-grounded-evaluation-agentic/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Daniel Schlör, Marius Bohn, Maximilian Wolf, et al.*2026*
837. **[Towards Trustworthy Smart Contract Synthesis: A Multi-Agent Framework with Lean-Based Verification](https://md.research.elamur.ai/free/en/papers/zhang-2026-trustworthy-smart-contract-synthesis-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bowei Zhang, Hanbing Liu, Qixin Tian, et al.*2026*
838. **[ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway](https://md.research.elamur.ai/free/en/papers/park-2026-toxreason-benchmark-mechanistic-chemical-toxicity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jueon Park, WonJune Jang, Chanhwi Kim, et al.*2026*
839. **[TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding Tasks](https://md.research.elamur.ai/free/en/papers/xu-2026-tps-bench-evaluating-ai-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.*2026*
840. **[TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization](https://md.research.elamur.ai/free/en/papers/wu-2026-trac-teacher-guided-token-reward/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sitong Wu, Haoru Tan, Xichen Zhang, et al.*2026*
841. **[Training-Free Adaptive Speculative Decoding via Linguistic Priors](https://md.research.elamur.ai/free/en/papers/wang-2026-training-free-adaptive-speculative-decoding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingyi Wang, Jiaqi Huang, Zunnan Xu, et al.*2026*
842. **[TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/tan-2026-triplay-rl-tri-role-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhewen Tan, Wenhan Yu, Jianfeng Si, et al.*2026*
843. **[Triviality Corrected Endogenous Reward](https://md.research.elamur.ai/free/en/papers/wang-2026-triviality-corrected-endogenous-reward/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.*2026*
844. **[Uncertainty-Aware Test-Time Search for Optimization Problem Solving](https://md.research.elamur.ai/free/en/papers/yu-2026-uncertainty-aware-test-time-search/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linlin Yu, Xujiang Zhao, Dong Li, et al.*2026*
845. **[VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation](https://md.research.elamur.ai/free/en/papers/park-2026-vauq-vision-aware-uncertainty-quantification/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seongheon Park, Changdae Oh, Hyeong Kyu Choi, et al.*2026*
846. **[Verifying the Subjective: Structured Multilingual Rewards for Low-Resource Alignment](https://md.research.elamur.ai/free/en/papers/sha-2026-verifying-subjective-structured-multilingual-rewards/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiu Sha, Mengxiao Zhu*2026*
847. **[ViLegalLM: Language Models for Vietnamese Legal Text](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vilegallm-language-models-vietnamese-legal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Truong-Phuc Nguyen, Quy-Nhan Nguyen, Minh-Tien Nguyen*2026*
848. **[Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images](https://md.research.elamur.ai/free/en/papers/yang-2026-visual-self-fulfilling-alignment-shaping/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qishun Yang, Shu Yang, Lijie Hu, et al.*2026*
849. **[What Tokens Truly Matter? The Logit Conflation Problem in LLM Sampling](https://md.research.elamur.ai/free/en/papers/zhao-2026-what-tokens-truly-matter-logit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pinlong Zhao, Huijun Tang, Pengfei Jiao, et al.*2026*
850. **[What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning](https://md.research.elamur.ai/free/en/papers/weng-2026-what-s-missing-vision-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zhaotian Weng, Haoxuan Li, Xin Eric Wang, et al.*2026*
851. **[When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/) [Financial Narrative Processing Workshop](https://md.research.elamur.ai/free/en/venues/fnp/)**Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.*2026*
852. **[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*
853. **[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*
854. **[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*
855. **[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*
856. **[Generating Questions Under Discussion with Reinforcement Learning using Ranking and Scoring for Reward and Evaluation](https://md.research.elamur.ai/free/en/papers/han-2025-generating-questions-under-discussion-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kelvin Han, Claire Gardent*2025*
857. **[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*
858. **[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*
859. [**360Zhinao Technical Report arXiv:2405.13386***2024*](https://md.research.elamur.ai/free/en/papers/360zhinao-team-2024-360zhinao-technical-report/)

[← prev](https://md.research.elamur.ai/free/en/authors/yonghao-zhuang/cited-by/page/8/) [1](https://md.research.elamur.ai/free/en/authors/yonghao-zhuang/cited-by/) … [8](https://md.research.elamur.ai/free/en/authors/yonghao-zhuang/cited-by/page/8/) **9**

2,645 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/yonghao-zhuang/) — Yonghao Zhuang