🧑‍🔬 Who cites Shengyu Zhang

359 citations of their works from 358 papers of our library (of the 149,439 whose bibliographies we read) · 71 with a page here, the most cited first · ← Shengyu Zhang

1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
2. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 977 citations
3. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 520 citations
4. A Survey on Large Language Models for Code GenerationarXiv:2406.00515Juyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 367 citations
5. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
6. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesarXiv:2404.06395Shengding Hu, Yuge Tu, Xu Han, et al.2024 · 269 citations
7. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
8. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsarXiv:2310.00746Zekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.2023 · 187 citations
9. Investigating Cultural Alignment of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Badr AlKhamissi, Muhammad ElNokrashy, Mai Alkhamissi, et al.2024 · 183 citations
10. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
11. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
12. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
13. FireAct: Toward Language Agent Fine-tuningarXiv:2310.05915Baian Chen, Chang Shu, Ehsan Shareghi, et al.2023 · 101 citations
14. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
15. FineSurE: Fine-grained Summarization Evaluation using LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hwanjun Song, Hang Su, Igor Shalyminov, et al.2024 · 92 citations
16. GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning AbilitiesConference on Empirical Methods in Natural Language Processing (EMNLP)Sreyan Ghosh, Sonal Kumar, Ashish Seth, et al.2024 · 87 citations
17. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
18. Large Language Model Instruction Following: A Survey of Progresses and ChallengesComputational LinguisticsRenze Lou, Kai Zhang, Wenpeng Yin2024 · 83 citations
19. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
20. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-ScalingarXiv:2312.15166Dahyun Kim, Chanjun Park, Sanghoon Kim, et al.2023 · 77 citations
21. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 76 citations
22. Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language ModelsFindings of the Association for Computational LinguisticsZehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 64 citations
23. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
24. One-Shot Learning as Instruction Data Prospector for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunshui Li, Binyuan Hui, Xiaobo Xia, et al.2024 · 61 citations
25. ChatQA: Surpassing GPT-4 on Conversational QA and RAGConference on Neural Information Processing Systems (NeurIPS)Zihan Liu, Wei Ping, Rajarshi Roy, et al.2024 · 58 citations
26. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
27. In-context Learning with Retrieved Demonstrations for Language Models: A SurveyarXiv:2401.11624Man Luo, Xin Xu, Yue Liu, et al.2024 · 54 citations
28. Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language ModelsarXiv:2404.02823Haoran Sun, Lixin Liu, Junjie Li, et al.2024 · 40 citations
29. Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language ModelsarXiv:2403.14859Carina Kauf, Emmanuele Chersoni, Alessandro Lenci, et al.2024 · 29 citations
30. PLUG: Leveraging Pivot Language in Cross-Lingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, et al.2024 · 28 citations
31. FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Qinggang Zhang, Zhishang Xiang, Yilin Xiao, et al.2025 · 27 citations
32. SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific LiteratureConference on Empirical Methods in Natural Language Processing (EMNLP)David Wadden, Kejian Shi, Jacob Morrison, et al.2025 · 27 citations
33. Sentiment Analysis through LLM NegotiationsarXiv:2311.01876Xiaofei Sun, Xiaoya Li, Shengyu Zhang, et al.2023 · 25 citations
34. MedArabiQ: Benchmarking Large Language Models on Arabic Medical TasksarXiv:2505.03427Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.2025 · 22 citations
35. Source-Aware Training Enables Knowledge Attribution in Language ModelsarXiv:2404.01019Muhammad Khalifa, David Wadden, Emma Strubell, et al.2024 · 21 citations
36. CodeDPO: Aligning Code Models with Self Generated and Verified Source CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Kechi Zhang, Ge Li, Yihong Dong, et al.2025 · 20 citations
37. Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMsInternational Conference on Computational Linguistics (COLING)Yu Xia, Rui Wang, Xu Liu, et al.2025 · 19 citations
38. Unveiling Language-Specific Features in Large Language Models via Sparse AutoencodersAnnual Meeting of the Association for Computational Linguistics (ACL)Boyi Deng, Yu Wan, Baosong Yang, et al.2025 · 18 citations
39. OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser UseAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyu Hu, Tao Xiong, Biao Yi, et al.2025 · 17 citations
40. Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual SettingsarXiv:2410.13153Krishno Dey, Prerona Tarannum, Md. Arid Hasan, et al.2024 · 16 citations
41. What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Li, Yanhong Li, Tianyi Zhou2025 · 15 citations
42. When One LLM Drools, Multi-LLM Collaboration RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.2026 · 14 citations
43. A Survey on Efficient Large Language Model Training: From Data-centric PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Junyu Luo, Bohan Wu, Xiao Luo, et al.2025 · 14 citations
44. Alignment for Efficient Tool Calling of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongshen Xu, Zihan Wang, Zichen Zhu, et al.2025 · 13 citations
45. Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhe Yang, Yichang Zhang, Yudong Wang, et al.2025 · 11 citations
46. Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Li, Lijun Li, Zhenghao Lu, et al.2025 · 11 citations
47. Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable MetricAnnual Meeting of the Association for Computational Linguistics (ACL)Yuming Yang, Yang Nan, Junjie Ye, et al.2025 · 11 citations
48. EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language ModelsarXiv:2402.11430Jun Gao, Huan Zhao, Wei Wang, et al.2024 · 11 citations
49. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
50. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
51. MetaFaith: Faithful Natural Language Uncertainty Expression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.2025 · 6 citations
52. CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Eric Onyame, Akash Ghosh, Subhadip Baidya, et al.2026 · 5 citations
53. Don't Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuzhe Zhang, Xianwei Xue, Xingyong Wu, et al.2026 · 5 citations
54. Rethinking Sample Polarity in Reinforcement Learning with Verifiable RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Tang, Yuliang Zhan, Zhixun Li, et al.2026 · 4 citations
55. Spotlight Your Instructions: Instruction-following with Dynamic Attention SteeringConference of the European Chapter of the Association for Computational Linguistics (EACL)Praveen Venkateswaran, Danish Contractor2026 · 4 citations
56. SFTMix: Elevating Language Model Instruction Tuning with Mixup RecipeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Xiao, Shujian Zhang, Marzyeh Ghassemi, et al.2026 · 3 citations
57. Evaluation of Pretrained and Instruction-Based Pretrained Models for Emotion Detection in Arabic Social Media TextRecent Advances in Natural Language Processing (RANLP)Md. Rafiul Biswas, Shimaa Ibrahim, Mabrouka Bessghaier, et al.2025 · 2 citations
58. Building and Evaluating a High Quality Parallel Corpus for English Urdu Low Resource Machine TranslationWorkshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)Munief Hassan Tahir, Hunain Azam, Sana Shams, et al.2026 · 1 citation
59. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
60. Meeseeks: A Feedback-Driven, Iterative Self-Correction Benchmark evaluating LLMs' Instruction Following CapabilityFindings of the Association for Computational LinguisticsJiaming Wang, Yunke Zhao, Peng Ding, et al.2026 · 1 citation
61. Restoring Missing Spaces in Scraped Hebrew Social MediaAvi Shmidman, Shaltiel Shmidman2025 · 1 citation
62. Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-VisualizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Mizanur Rahman, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, et al.2026
63. Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue SummarizationFindings of the Association for Computational LinguisticsXiaoyong Mei, Tingting Zuo, Da Chen, et al.2026
64. Compositional Steering of Large Language Models with Steering TokensAnnual Meeting of the Association for Computational Linguistics (ACL)Gorjan Radevski, Kiril Gashteovski, Giwon Hong, et al.2026
65. DivMerge: A divergence-based model merging method for multi-taskingConference of the European Chapter of the Association for Computational Linguistics (EACL)Brahim Touayouch, Loïc Fosse, Géraldine Damnati, et al.2026
66. From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph ReasoningFindings of the Association for Computational LinguisticsGuo Tang, Ke Cheng, Huiming Fan, et al.2026
67. Machine Translation for Low-Resource Languages through Monolingual Data and LLM: A Case Study of English-to-BasqueConference of the European Chapter of the Association for Computational Linguistics (EACL)Nam Luu, Aitor Soroa, German Rigau, et al.2026
68. QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Songxin Qu, Tai-Ping Sun, Yun-Jie Wang, et al.2026
69. RIFT: Repurposing Negative Samples via Reward-Informed Fine-TuningFindings of the Association for Computational LinguisticsZehua Liu, Shuqi Liu, Tao Zhong, et al.2026
70. ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome PathwayFindings of the Association for Computational LinguisticsJueon Park, WonJune Jang, Chanhwi Kim, et al.2026
71. 360Zhinao Technical ReportarXiv:2405.133862024

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