🧑‍🔬 Who cites Shuyue Stella Li

267 citations of their works from 262 papers of our library (of the 149,439 whose bibliographies we read) · 70 with a page here, the most cited first · ← Shuyue Stella Li

1. 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
2. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
3. GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement LearningarXiv:2507.01006GLM-V Team, Wenyi Hong, Wenmeng Yu, et al.2025 · 89 citations
4. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
5. WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Zhepei Wei, Wenlin Yao, Yao Liu, et al.2025 · 36 citations
6. DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep ResearcharXiv:2511.19399Rulin Shao, Akari Asai, Shannon Zejiang Shen, et al.2025 · 28 citations
7. Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
8. Rewarding the Unlikely: Lifting GRPO Beyond Distribution SharpeningConference on Empirical Methods in Natural Language Processing (EMNLP)Andre Wang He, Daniel Fried, Sean Welleck2025 · 15 citations
9. Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Jiayuan Zhu, Jiazhen Pan, Yuyuan Liu, et al.2025 · 10 citations
10. ChatBench: From Static Benchmarks to Human-AI EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Serina Chang, Ashton Anderson, Jake M. Hofman2025 · 9 citations
11. A Parallel Cross-Lingual Benchmark for Multimodal Idiomaticity UnderstandingLanguage Resources and Evaluation Conference (LREC)Dilara Torunoğlu-Selamet, Doğukan Arslan, Rodrigo Wilkens, et al.2026 · 8 citations
12. Localized Cultural Knowledge is Conserved and Controllable in Large Language ModelsFindings of the Association for Computational LinguisticsVeniamin Veselovsky, Berke Argın, Benedikt Stroebl, et al.2026 · 7 citations
13. Scaling Collaborative Effort with AgentsFindings of the Association for Computational LinguisticsShannon Zejiang Shen, Valerie Chen, Ken Gu, et al.2026 · 7 citations
14. Cancer-Myth: Evaluating Large Language Models on Patient Questions with False PresuppositionsarXiv:2504.11373Wang Bill Zhu, Tianqi Chen, Xinyan Velocity Yu, et al.2025 · 7 citations
15. Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-ThoughtarXiv:2510.04230Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, et al.2025 · 7 citations
16. From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical CalculationsConference on Empirical Methods in Natural Language Processing (EMNLP)Benlu Wang, Iris Xia, Yifan Zhang, et al.2025 · 5 citations
17. ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongxin Ding, Baixiang Huang, Yue Fang, et al.2026 · 4 citations
18. Better LLM Reasoning via Dual-PlayFindings of the Association for Computational LinguisticsZhengxin Zhang, Chengyu Huang, Aochong Oliver Li, et al.2026 · 3 citations
19. Confidence Should Be Calibrated More Than One Turn DeepAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaohan Zhang, Chengzhengxu Li, Xiaoming Liu, et al.2026 · 3 citations
20. LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Weikang Yuan, Kaisong Song, Zhuoren Jiang, et al.2026 · 3 citations
21. Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.2026 · 3 citations
22. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
23. Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RLFindings of the Association for Computational LinguisticsHaotian Zhai, Jingcheng Liang, Dongyeop Kang2026 · 2 citations
24. BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Bryan Chen Zhengyu Tan, Weihua Zheng, Zhengyuan Liu, et al.2026 · 2 citations
25. Gained in Translation: Privileged Pairwise Judges Enhance Multilingual ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lintang Sutawika, Gokul Swamy, Steven Wu, et al.2026 · 2 citations
26. RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, et al.2026 · 2 citations
27. The olmOCR Project: Building Fully Open OCR using VLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jake Poznanski, Kyle Lo, Luca Soldaini2026 · 2 citations
28. A Comprehensive Evaluation of Chain-of-Thought Faithfulness in Persian Classification TasksWorkshop on Language Models for Low-Resource LanguagesShakib Yazdani, Cristina España-Bonet, Eleftherios Avramidis, et al.2026 · 1 citation
29. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
30. Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
31. Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenxuan Wang, Zizhan Ma, Guo Yu, et al.2026 · 1 citation
32. BSC's Submission to the Instruction Following Track of IWSLT 2026International Conference on Spoken Language Translation (IWSLT)Oriol Pareras, Joan Llado, Pol Buitrago, et al.2026 · 1 citation
33. Deciphering Cultural Representations in Large Language Models via Sparse AutoencodersFindings of the Association for Computational LinguisticsChenye Zou, Difan Jiao, Lijie Hu2026 · 1 citation
34. Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement LearningFindings of the Association for Computational LinguisticsZhiyin Yu, Bo Zhang, Qibin Hou, et al.2026 · 1 citation
35. From Interpretability to Performance: Optimizing Retrieval Heads for Long-Context Language ModelsFindings of the Association for Computational LinguisticsYoumi Ma, Naoaki Okazaki2026 · 1 citation
36. IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Zechen Sun, Yuyang Sun, Zecheng Tang, et al.2026 · 1 citation
37. KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full ReportarXiv:2606.03773Maurice Kraus, Ruben Harle, Sebastian Sztwiertnia, et al.2026 · 1 citation
38. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus ConstructionsConference on Computational Natural Language Learning (CoNLL)Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.2026 · 1 citation
39. No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural UnderstandingTransactions of the Association for Computational Linguistics (TACL)Vynska Amalia Permadi, Xingwei Tan, Nafise Sadat Moosavi, et al.2026 · 1 citation
40. OLA: Output Language Alignment in Code-Switched LLM InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Juhyun Oh, Haneul Yoo, Faiz Ghifari Haznitrama, et al.2026 · 1 citation
41. Prior Beliefs Prejudice LLM-as-Judge: Evidence from Persuasion EvaluationFindings of the Association for Computational LinguisticsPardis Sadat Zahraei, Xiaoning Wang, Nimet Beyza Bozdag, et al.2026 · 1 citation
42. Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and DomainsFindings of the Association for Computational LinguisticsMd. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, et al.2026 · 1 citation
43. Reasoning Up the Instruction Ladder for Controllable Language ModelsFindings of the Association for Computational LinguisticsZishuo Zheng, Vidhisha Balachandran, Chan Young Park, et al.2026 · 1 citation
44. Strong Reasoning Isn't Enough: Evaluating Evidence Elicitation in Interactive DiagnosisFindings of the Association for Computational LinguisticsZhuohan Long, Zhongyu Wei2026 · 1 citation
45. Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Priyanka Mary Mammen, Emil Joswin, Shankar Venkitachalam2026 · 1 citation
46. x1: Learning to Think Adaptively Across Languages and CulturesFindings of the Association for Computational LinguisticsYangfan Ye, Xiaocheng Feng, Xiachong Feng, et al.2026 · 1 citation
47. CultranAI at PalmX 2025: Data Augmentation for Cultural Knowledge RepresentationArabic Natural Language Processing Conference (ArabicNLP)Hunzalah Hassan Bhatti, Youssef Ahmed, Md Arid Hasan, et al.2025 · 1 citation
48. AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?Findings of the Association for Computational LinguisticsHenan Sun, Kaichi Yu, Yuyao Wang, et al.2026
49. Boosting Self-Consistency with RankingAnnual Meeting of the Association for Computational Linguistics (ACL)Maria Marina, Daniil Moskovskiy, Sergey Pletenev, et al.2026
50. Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical ReasoningFindings of the Association for Computational LinguisticsFlavio Merenda, Jose Manuel Gomez-Perez, German Rigau2026
51. Common to Whom? Regional Cultural Commonsense and LLM Bias in IndiaAnnual Meeting of the Association for Computational Linguistics (ACL)Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, et al.2026
52. Distributional Alignment for Large Language Models under Domain ShiftFindings of the Association for Computational LinguisticsViet Thanh Pham, Lizhen Qu, Zhuang Li, et al.2026
53. Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoning Sun, Mingzhu Cai, Huang He, et al.2026
54. Don't ‘Well, Actually' Me Unless You Know What You're Talking About: Weak Presupposition Verification Degrades General QA PerformancearXiv:2608.06539Shenran Wang, Vered Shwartz, Hila Gonen2026
55. Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Francesco Maria Molfese, Momchil Hardalov, Rexhina Blloshmi, et al.2026
56. Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-TuningarXiv:2608.18361Mena Attia, Mona Diab, Thamar Solorio2026
57. From Narrow Unlearning to Emergent Misalignment in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, et al.2026
58. Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck?Findings of the Association for Computational LinguisticsH S V N S Kowndinya Renduchintala, Sumit Bhatia2026
59. KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?Transactions of the Association for Computational Linguistics (TACL)Soumadeep Saha, Akshay Chaturvedi, Saptarshi Saha, et al.2026
60. Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question GenerationFindings of the Association for Computational LinguisticsLiwen Sun, Xiang Yu, Ming Tan, et al.2026
61. MUC-4 Revisited: Document-level Event Analysis beyond Span-based ArgumentsLanguage Resources and Evaluation Conference (LREC)Helene Bøsei Olsen, Erik Velldal, Lilja Øvrelid2026
62. Observations and Remedies for Large Language Model Bias in Self-Consuming Performative LoopAnnual Meeting of the Association for Computational Linguistics (ACL)Yaxuan Wang, Zhongteng Cai, Yujia Bao, et al.2026
63. Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al.2026
64. SDUs DAISY: A Benchmark for Danish CulturearXiv:2601.19930Jacob Nielsen, Stine L. Beltoft, Peter Schneider-Kamp, et al.2026
65. Think Like You Execute: Verifiable Chain of Thought from Program TracesAnnual Meeting of the Association for Computational Linguistics (ACL)Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni, et al.2026
66. Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai2026
67. UNSC-Bench: Evaluating LLM Diplomatic Role-Playing Through UN Security Council Vote PredictionWorkshop on Multilingual Multicultural EvaluationAyush Nangia, Aman Gokrani, Ruggero Marino Lazzaroni2026
68. Weight Tying Biases Token Embeddings Towards the Output SpaceFindings of the Association for Computational LinguisticsAntonio Lopardo, Avyukth Harish, Catherine Arnett, et al.2026
69. Who Speaks for Whom? LLM-Generated Survey Data as a Proxy for Public OpinionWorkshop on Natural Language Processing and Computational Social ScienceRadhakrishnan Venkatakrishnan, Travis Brodbeck, Michael D. Young2026
70. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026

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