🧑‍🔬 Who cites Sanjiv Kumar

332 citations of their works from 332 papers of our library (of the 149,439 whose bibliographies we read) · 64 with a page here, the most cited first · ← Sanjiv Kumar

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. RoFormer: Enhanced Transformer with Rotary Position EmbeddingarXiv:2104.09864Jianlin Su, Yu Lu, Shengfeng Pan, et al.2021 · 3,028 citations
3. Big Bird: Transformers for Longer SequencesConference on Neural Information Processing Systems (NeurIPS)Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 1,023 citations
4. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li2024 · 1,010 citations
5. Benchmarking Large Language Models in Retrieval-Augmented GenerationProceedings of the AAAI Conference on Artificial IntelligenceJiawei Chen, Hongyu Lin, Xianpei Han, et al.2023 · 629 citations
6. Large Language Models Can Be Easily Distracted by Irrelevant ContextarXiv:2302.00093Freda Shi, Xinyun Chen, Kanishka Misra, et al.2023 · 534 citations
7. Hallucination is Inevitable: An Innate Limitation of Large Language ModelsarXiv:2401.11817Ziwei Xu, Sanjay Jain, Mohan Kankanhalli2024 · 312 citations
8. What learning algorithm is in-context learning? Investigations with linear modelsarXiv:2211.15661Ekin Akyürek, Dale Schuurmans, Jacob Andreas, et al.2022 · 236 citations
9. What Can Transformers Learn In-Context? A Case Study of Simple Function ClassesConference on Neural Information Processing Systems (NeurIPS)Shivam Garg, Dimitris Tsipras, Percy Liang, et al.2022 · 209 citations
10. Contextual Parameter Generation for Universal Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, et al.2018 · 206 citations
11. Making Retrieval-Augmented Language Models Robust to Irrelevant ContextarXiv:2310.01558Ori Yoran, Tomer Wolfson, Ori Ram, et al.2023 · 195 citations
12. 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
13. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
14. 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
15. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
16. Probing What Different NLP Tasks Teach Machines about Function Word ComprehensionJoint Conference on Lexical and Computational Semantics (*SEM)Najoung Kim, Roma Patel, Adam Poliak, et al.2019 · 163 citations
17. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
18. Context-faithful Prompting for Large Language ModelsFindings of the Association for Computational LinguisticsWenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.2023 · 148 citations
19. On the Ability and Limitations of Transformers to Recognize Formal LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Satwik Bhattamishra, Kabir Ahuja, Navin Goyal2020 · 113 citations
20. R-Tuning: Instructing Large Language Models to Say ‘I Don't Know'Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hanning Zhang, Shizhe Diao, Yong Lin, et al.2024 · 99 citations
21. Are Transformers universal approximators of sequence-to-sequence functions?arXiv:1912.10077Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, et al.2019 · 97 citations
22. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
23. DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Ella Neeman, Roee Aharoni, Or Honovich, et al.2023 · 85 citations
24. HalluLens: LLM Hallucination BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Yejin Bang, Ziwei Ji, Alan Schelten, et al.2025 · 82 citations
25. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
26. CODI: Compressing Chain-of-Thought into Continuous Space via Self-DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyi Shen, Hanqi Yan, Linhai Zhang, et al.2025 · 78 citations
27. Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Feiteng Fang, Yuelin Bai, Shiwen Ni, et al.2024 · 75 citations
28. Dynamic Early Exit in Reasoning ModelsarXiv:2504.15895Chenxu Yang, Qingyi Si, Yongjie Duan, et al.2025 · 74 citations
29. Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit ComplexityTransactions of the Association for Computational Linguistics (TACL)Yiding Hao, Dana Angluin, Robert Frank2022 · 62 citations
30. Teaching Arithmetic to Small TransformersarXiv:2307.03381Nayoung Lee, Kartik Sreenivasan, Jason D. Lee, et al.2023 · 57 citations
31. Resolving Knowledge Conflicts in Large Language ModelsarXiv:2310.00935Yike Wang, Shangbin Feng, Heng Wang, et al.2023 · 48 citations
32. Efficient Reasoning Models: A SurveyarXiv:2504.10903Sicheng Feng, Gongfan Fang, Xinyin Ma, et al.2025 · 37 citations
33. Improving Retrieval Augmented Language Model with Self-ReasoningProceedings of the AAAI Conference on Artificial IntelligenceYuan Xia, Jingbo Zhou, Zhenhui Shi, et al.2024 · 32 citations
34. 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
35. discopy: A Neural System for Shallow Discourse ParsingWorkshop on Computational Approaches to Discourse (CODI)René Knaebel2021 · 23 citations
36. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
37. The Distracting Effect: Understanding Irrelevant Passages in RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Amiraz, Florin Cuconasu, Simone Filice, et al.2025 · 21 citations
38. Understanding the Dark Side of LLMs' Intrinsic Self-CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Qingjie Zhang, Di Wang, Haoting Qian, et al.2025 · 21 citations
39. Source-Aware Training Enables Knowledge Attribution in Language ModelsarXiv:2404.01019Muhammad Khalifa, David Wadden, Emma Strubell, et al.2024 · 21 citations
40. Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning ChainsConference on Neural Information Processing Systems (NeurIPS)Wenhui Tan, Jiaze Li, Jianzhong Ju, et al.2025 · 19 citations
41. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
42. Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning ArgumentationsConference on Empirical Methods in Natural Language Processing (EMNLP)Leonardo Ranaldi, Federico Ranaldi, Fabio Massimo Zanzotto, et al.2025 · 12 citations
43. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
44. Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.2025 · 9 citations
45. Efficient Reasoning for LLMs through Speculative Chain-of-ThoughtFindings of the Association for Computational LinguisticsJikai Wang, Juntao Li, Jianye Hou, et al.2026 · 6 citations
46. Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Qifan Yu, Zhenyu He, Sijie Li, et al.2026 · 5 citations
47. PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question AnsweringWookje Han, Jinsol Park, Kyungjae Lee2023 · 4 citations
48. Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yongjiang Liu, Haoxi Li, Xiaosong Ma, et al.2026 · 2 citations
49. Mixing It Up: Inducing Empathy and Politeness using Multiple Behaviour-aware Generators for Conversational SystemsFindings of the Association for Computational LinguisticsMauajama Firdaus, Priyanshu Priya, Asif Ekbal2023 · 2 citations
50. A Review of Incorporating Psychological Theories in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zizhou Liu, Ziwei Gong, Lin Ai, et al.2026 · 1 citation
51. Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Triantafyllopoulos, Renyi Qu, Salvatore Giorgi, et al.2026 · 1 citation
52. SpiralThinker: Latent Reasoning through an Iterative Process with Text–Latent InterleavingFindings of the Association for Computational LinguisticsShengmin Piao, Sanghyun Park2026 · 1 citation
53. Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute ScalingFindings of the Association for Computational LinguisticsIvan Rodkin, Daniil Orel, Konstantin Smirnov, et al.2026
54. CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG HallucinationsFindings of the Association for Computational LinguisticsJinWei Shi, Qizhuo Xie, Qianzi Hou, et al.2026
55. DKME: Rethinking Coupled Knowledge Memory for Lifelong Model Editing of Large Language ModelsFindings of the Association for Computational LinguisticsGuanyu Zheng, Wang Zhenyu, He Tingting, et al.2026
56. Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting CircuitsFindings of the Association for Computational LinguisticsYizheng Zhao2026
57. GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy InputsFindings of the Association for Computational LinguisticsZhengxin Zhang, Chengyu Huang, Xufu Liu, et al.2026
58. Language Acquisition Device in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Masato Mita, Taiga Someya, Ryo Yoshida, et al.2026
59. Learning Shortcut Models for Efficient Recursive ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Shiv Shankar2026
60. LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast RetrievalFindings of the Association for Computational LinguisticsZhibo Zhang, Yang Xu, Kai Ming Ting, et al.2026
61. LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, et al.2026
62. LoopCoder: Scaling Code Intelligence via Looped Language ModelsFindings of the Association for Computational LinguisticsJian Yang, Wei Zhang, Shuyue Guo, et al.2026
63. SCOPE: Boosting LLM Efficiency with Scoped Position EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingguo Qi, Hongyang Chen, Zhao Li2026
64. Understanding the Prompt SensitivityAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Chenhui Chu2026

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