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Who cites Sadhika Malladi

470 citations of their works from 459 papers of our library (of the 149,439 whose bibliographies we read) · 110 with a page here, the most cited first · page 2 of 2 · 101–110 · ← Sadhika Malladi

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  1. Safeguarding LLM Fine-tuning via Push-Pull Distributional AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Haozhong Wang, Zhuo Li, Yibo Yang, et al.2026
  2. Selective Span-Level Unlearning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chaewon Yoon, Dongjun Kim, Hyun-Je Song2026
  3. Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt EngineeringFindings of the Association for Computational LinguisticsAnas Mohamed, Azal Ahmad Khan, Xinran Wang, et al.2026
  4. Simple-VGC: Enhancing Visual Grounding in Multimodal Reasoning via Adaptive Tool CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Ye Wang, Qianglong Chen, Siyuan Wang, et al.2026
  5. SimpleOCR: Rendering Visual Questions to Teach MLLMs to ReadFindings of the Association for Computational LinguisticsYibo Peng, Peng Xia, Ding Zhong, et al.2026
  6. TARo: Token-level Adaptive Routing for LLM Test-time AlignmentFindings of the Association for Computational LinguisticsArushi Rai, Qiang Zhang, Hanqing Zeng, et al.2026
  7. Training data generation for context-dependent rubric-based short answer gradingLeveraging Derived Text Formats to Unlock Copyrighted Collections for Open Science (DTF) @ LRECPavel Šindelář, Filip Prášil, Dávid Slivka, et al.2026
  8. Understanding Conflicts in Multi-Objective Alignment through Reward ConsistencyFindings of the Association for Computational LinguisticsZhihao Xu, Yongqi Tong, Xin Zhang, et al.2026
  9. Unintended Memorization of Sensitive Information in Fine-Tuned Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Marton Szep, Jorge Marin Ruiz, Georgios Kaissis, et al.2026
  10. Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise SamplingFindings of the Association for Computational LinguisticsFei Wang, Li Shen, Liang Ding, et al.2026

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