Elamur Research⌕
☰
home / authors / Ee-Peng Lim / cited by / page 2

Who cites Ee-Peng Lim

614 citations of their works from 573 papers of our library (of the 149,439 whose bibliographies we read) · 130 with a page here, the most cited first · page 2 of 2 · 101–130 · ← Ee-Peng Lim

1 2

  1. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026
  2. Action Boundary Blindness: When LLM Agents Cannot Tell Where One Action Ends and Another BeginsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhangyi Wang, Bingnan Yu, Jiexiang Xu, et al.2026
  3. Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Hyowon Wi, Noseong Park2026
  4. CAP: Controllable Alignment Prompting for Unlearning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaokun Wang, Jinyu Guo, Jingwen Pu, et al.2026
  5. CAR: Empowering Agents with Dynamic Tool Synthesis and Global Trajectory RectificationFindings of the Association for Computational LinguisticsKai Wang, Xu Wang, Zhiyuan Fu, et al.2026
  6. C³D: Enhancing LLM Reasoning via Confidence-Guided Contrastive DecodingFindings of the Association for Computational LinguisticsYufeng Zhang, Xuepeng Wang, Lingxiang Wu, et al.2026
  7. FedReFT: Federated Representation Fine-Tuning with All-But-Me AggregationFindings of the Association for Computational LinguisticsFatema Siddika, Md Anwar Hossen, Juan Pablo Munoz, et al.2026
  8. From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM AgentsFindings of the Association for Computational LinguisticsHaoran Tan, Zeyu Zhang, Chen Ma, et al.2026
  9. G-LoRA: Global-Local Decoupled Low-Rank AdaptationFindings of the Association for Computational LinguisticsJiahao Xiong, Yihong Huang, Yihe Liu, et al.2026
  10. GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer SelectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Kai Yao, Zhenghan Song, Kaixin Wu, et al.2026
  11. GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuningFindings of the Association for Computational LinguisticsKaiyuan Tian, Linbo Qiao, Yu Tang, et al.2026
  12. How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModelAnnual Meeting of the Association for Computational Linguistics (ACL)Yongqi Tong, Xiaoyun Feng, Lyuxin Xue, et al.2026
  13. IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding ModulationFindings of the Association for Computational LinguisticsYash Saxena, Ankur Padia, Kalpa Gunaratna, et al.2026
  14. 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
  15. LeLoRA: Learnable Low-Rank Adaptation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, et al.2026
  16. Localized Low-Rank Adaptation within Clustered Parameter SubspacesAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahao Xiong, Yihe Liu, Xianming Hu, et al.2026
  17. Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)YongKang Liu, Xingle Xu, Ercong Nie, et al.2026
  18. On LLM Prompting Techniques for Arabic Language Arithmetic ReasoningWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksReem Alenezi, Ayed Atallah Salman2026
  19. On the Representation Geometry of LoRA Model MergingFindings of the Association for Computational LinguisticsChenyang Lu, Jiaru Li, Jinman Zhao, et al.2026
  20. ParaCook: On Time-Efficient Planning for Multi-Agent SystemsFindings of the Association for Computational LinguisticsShiqi Zhang, Xinbei Ma, Yunqing Xu, et al.2026
  21. Policy-Guided Stepwise Action Planning for Controllable LLM ReasoningFindings of the Association for Computational LinguisticsJianpeng Zhou, Qisheng Hu, Jiahai Wang, et al.2026
  22. 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
  23. RanLoRA: Residual-aware Nonlinear Low-Rank AdaptationFindings of the Association for Computational LinguisticsXu Luo, Yongbin Liu, Chunping Ouyang, et al.2026
  24. Self-EmoQ: Plutchik-Guided Value-based Planning to Drive Streaming Emotional TTSFindings of the Association for Computational LinguisticsYue Zhao, Hongyan Li, Yong Chen, et al.2026
  25. SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph ConstructionFindings of the Association for Computational LinguisticsZehua Wang, Zhaojin Zhang, Boyu Qiu, et al.2026
  26. STCOR: A Trilevel Syllogism-Driven Reasoning FrameworkWorkshop on Argument MiningKeying Yang, Hao Wang, Chengtao Jian, et al.2026
  27. TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yulong Wang, Siyu Zhao2026
  28. TeleAI at SemEval-2026 Task 6: A Confidence-Aware Multi-Stage Reasoning Framework with Chain-of-ThoughtInternational Workshop on Semantic Evaluation (SemEval)Lingling Shi, Haoyu Jin, Shiquan Wang, et al.2026
  29. Weakly-supervised Argument Mining with Boundary Refinement and Relation DenoisingFact Extraction and VERification Workshop (FEVER)Wei Sun, Mingxiao Li, Jesse Davis, et al.2026
  30. ZIP: Quantifying Which Words Matter in Zero-Shot Instructional PromptsJoint Conference on Lexical and Computational Semantics (*SEM)Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.2026

1 2

443 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ee-peng-lim/cited-by/page/2/