🧑‍🔬 Who cites Vijay Viswanathan

167 citations of their works from 164 papers of our library (of the 149,439 whose bibliographies we read) · 33 with a page here, the most cited first · ← Vijay Viswanathan

1. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
2. TopicGPT: A Prompt-based Topic Modeling FrameworkConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chau Minh Pham, Alexander Hoyle, Simeng Sun, et al.2024 · 171 citations
3. Justice or Prejudice? Quantifying Biases in LLM-as-a-JudgearXiv:2410.02736Jiayi Ye, Yanbo Wang, Yue Huang, et al.2024 · 148 citations
4. LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Helia Hashemi, Jason Eisner, Corby Rosset, et al.2024 · 88 citations
5. Evaluating Language Models as Synthetic Data GeneratorsAnnual Meeting of the Association for Computational Linguistics (ACL)Seungone Kim, Juyoung Suk, Xiang Yue, et al.2025 · 32 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. 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
8. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Tianci Liu, Ran Xu, Tony Yu, et al.2026 · 25 citations
9. Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Hengyuan Zhang, Shiping Yang, Xiao Liang, et al.2026 · 13 citations
10. MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, et al.2025 · 11 citations
11. EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuningarXiv:2410.10209Dong Huang, Guangtao Zeng, Jianbo Dai, et al.2024 · 11 citations
12. AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Yun He, Wenzhe Li, Hejia Zhang, et al.2026 · 9 citations
13. What Prompts Don't Say: Understanding and Managing Underspecification in LLM PromptsFindings of the Association for Computational LinguisticsChenyang Yang, Yike Shi, Qianou Ma, et al.2026 · 6 citations
14. Agentic Rubrics as Contextual Verifiers for SWE AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Raghavendra, Anisha Gunjal, Bing Liu, et al.2026 · 3 citations
15. RubricBench: Aligning Model-Generated Rubrics with Human StandardsAnnual Meeting of the Association for Computational Linguistics (ACL)Junyi Zhou, Qiyuan Zhang, Yufei Wang, et al.2026 · 3 citations
16. The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs Using Indian RiddlesLanguage Resources and Evaluation Conference (LREC)Abhinav P M, Ojasva Saxena, Oswald C, et al.2026 · 2 citations
17. A Survey on LLM-based Conversational User SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bo Ni, Yu Wang, Leyao Wang, et al.2026 · 1 citation
18. IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Bosi Wen, Yilin Niu, Cunxiang Wang, et al.2026 · 1 citation
19. P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic ChecklistAnnual Meeting of the Association for Computational Linguistics (ACL)Kwangwook Seo, Dongha Lee2026 · 1 citation
20. RECAP: REwriting Conversations for Intent Understanding in Agentic PlanningFindings of the Association for Computational LinguisticsKushan Mitra, Dan Zhang, Hannah Kim, et al.2026 · 1 citation
21. SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data UtilityAnnual Meeting of the Association for Computational Linguistics (ACL)Xuyang Zhi, Peilun Zhou, Chengqiang Lu, et al.2026 · 1 citation
22. Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy PreservationConference of the European Chapter of the Association for Computational Linguistics (EACL)Kefei Liu, Meizhu Liu2026 · 1 citation
23. SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource LanguagesLanguage Resources and Evaluation Conference (LREC)Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher2026 · 1 citation
24. When LLMs Annotate: Reliability Challenges in Low-Resource NLIWorkshop on Language Models for Low-Resource LanguagesSolmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana2026 · 1 citation
25. Bi-Text Mining across German Dialects: On the Role of Synthetic Training Data for Dialect AdaptationWorkshop on Building and Using Comparable Corpora (BUCC)Jing Wang, Barbara Plank, Robert Litschko2026
26. Complex-IF and Beyond: Expert Rubrics for RLVRWorkshop on Generation, Evaluation and Metrics (GEM)Sushant Mehta, Liudas Panavas, Eleanor Fleming, et al.2026
27. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
28. ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document ImagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Mathieu Sibue, Andrés Muñoz Garza, Samuel Mensah, et al.2026
29. HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyu Shen, Jiyuan Liu, Yunhe Pang, et al.2026
30. PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Rongchuan Mu, Zexin Wang, Qianyu Wang, et al.2026
31. PARL: Prompt-based Agents for Reinforcement LearningLanguage Resources and Evaluation Conference (LREC)Yarik Menchaca Resendiz, Roman Klinger2026
32. TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jun Wang, Ziyin Zhang, Rui Wang, et al.2026
33. Classifying German Language Proficiency Levels Using Large Language ModelsarXiv:2512.06483Elias-Leander Ahlers; Witold Brunsmann;, Malte Schilling2025

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