🧑‍🔬 Who cites Animesh Garg

435 citations of their works from 389 papers of our library (of the 149,439 whose bibliographies we read) · 73 with a page here, the most cited first · ← Animesh Garg

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,589 citations
3. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
4. Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesarXiv:2204.01691Michael Ahn, Anthony Brohan, Noah Brown, et al.2022 · 941 citations
5. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations
6. Visual Programming: Compositional visual reasoning without trainingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTanmay Gupta, Aniruddha Kembhavi2022 · 347 citations
7. Empowering Biomedical Discovery with AI AgentsarXiv:2404.02831Shanghua Gao, Ada Fang, Yepeng Huang, et al.2024 · 333 citations
8. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
9. 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
10. Self-planning Code Generation with Large Language ModelsACM Transactions on Software Engineering and MethodologyXue Jiang, Yihong Dong, Lecheng Wang, et al.2023 · 223 citations
11. LLM+P: Empowering Large Language Models with Optimal Planning ProficiencyarXiv:2304.11477Bo Liu, Yuqian Jiang, Xiaohan Zhang, et al.2023 · 216 citations
12. Language Models of Code are Few-Shot Commonsense LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Aman Madaan, Shuyan Zhou, Uri Alon, et al.2022 · 212 citations
13. Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall SpacesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJihan Yang, Shusheng Yang, Anjali W. Gupta, et al.2024 · 182 citations
14. Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task AgentsarXiv:2302.01560Zihao Wang, Shaofei Cai, Guanzhou Chen, et al.2023 · 174 citations
15. Executable Code Actions Elicit Better LLM AgentsarXiv:2402.01030Xingyao Wang, Yangyi Chen, Lifan Yuan, et al.2024 · 165 citations
16. Large Language Models as Commonsense Knowledge for Large-Scale Task PlanningConference on Neural Information Processing Systems (NeurIPS)Zirui Zhao, Wee Sun Lee, David Hsu2023 · 153 citations
17. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Shibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 147 citations
18. Eureka: Human-Level Reward Design via Coding Large Language ModelsarXiv:2310.12931Yecheng Jason Ma, William Liang, Guanzhi Wang, et al.2023 · 142 citations
19. Understanding the planning of LLM agents: A surveyarXiv:2402.02716Xu Huang, Weiwen Liu, Xiaolong Chen, et al.2024 · 128 citations
20. FAST: Efficient Action Tokenization for Vision-Language-Action ModelsarXiv:2501.09747Karl Pertsch, Kyle Stachowicz, Brian Ichter, et al.2025 · 123 citations
21. A Real-World WebAgent with Planning, Long Context Understanding, and Program SynthesisarXiv:2307.12856Izzeddin Gur, Hiroki Furuta, Austin Huang, et al.2023 · 120 citations
22. Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task PlanningConference on Neural Information Processing Systems (NeurIPS)Lin Guan, Karthik Valmeekam, Sarath Sreedharan, et al.2023 · 115 citations
23. Generalized Planning in PDDL Domains with Pretrained Large Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceTom Silver, Soham Dan, Kavitha Srinivas, et al.2023 · 112 citations
24. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and SecurityarXiv:2401.05459Yuanchun Li, Hao Wen, Weijun Wang, et al.2024 · 100 citations
25. Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and MemoryarXiv:2305.17144Xizhou Zhu, Yuntao Chen, Hao Tian, et al.2023 · 96 citations
26. AdaPlanner: Adaptive Planning from Feedback with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Haotian Sun, Yuchen Zhuang, Lingkai Kong, et al.2023 · 93 citations
27. On the Tool Manipulation Capability of Open-source Large Language ModelsarXiv:2305.16504Qiantong Xu, Fenglu Hong, Bo Li, et al.2023 · 92 citations
28. ADaPT: As-Needed Decomposition and Planning with Language ModelsFindings of the Association for Computational LinguisticsArchiki Prasad, Alexander Koller, Mareike Hartmann, et al.2024 · 89 citations
29. Large Language Models as General Pattern MachinesarXiv:2307.04721Suvir Mirchandani, Fei Xia, Pete Florence, et al.2023 · 88 citations
30. KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge GraphAnnual Meeting of the Association for Computational Linguistics (ACL)Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, et al.2025 · 78 citations
31. Parsel: Algorithmic Reasoning with Language Models by Composing DecompositionsConference on Neural Information Processing Systems (NeurIPS)Eric Zelikman, Qian Huang, Gabriel Poesia, et al.2023 · 56 citations
32. PlanGenLLMs: A Modern Survey of LLM Planning CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wei, Zihao Zhang, Shenghua He, et al.2025 · 55 citations
33. Learning Interactive Real-World SimulatorsarXiv:2310.06114Sherry Yang, Yilun Du, Kamyar Ghasemipour, et al.2023 · 54 citations
34. HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Mengkang Hu, Tianxing Chen, Qiguang Chen, et al.2025 · 49 citations
35. JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language ModelsarXiv:2311.05997Zihao Wang, Shaofei Cai, Anji Liu, et al.2023 · 47 citations
36. Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters MoreConference on Empirical Methods in Natural Language Processing (EMNLP)Zichen Wen, Yifeng Gao, Shaobo Wang, et al.2025 · 44 citations
37. Large Language Models Are Neurosymbolic ReasonersProceedings of the AAAI Conference on Artificial IntelligenceMeng Fang, Shilong Deng, Yudi Zhang, et al.2024 · 34 citations
38. Position: What Can Large Language Models Tell Us about Time Series AnalysisarXiv:2402.02713Ming Jin, Yifan Zhang, Wei Chen, et al.2024 · 31 citations
39. Physion: Evaluating Physical Prediction from Vision in Humans and MachinesarXiv:2106.08261Daniel M. Bear, Elias Wang, Damian Mrowca, et al.2021 · 23 citations
40. MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning ResearchConference on Neural Information Processing Systems (NeurIPS)Hui Chen, Miao Xiong, Yujie Lu, et al.2025 · 21 citations
41. The Vector Grounding ProblemarXiv:2304.01481Dimitri Coelho Mollo, Raphael Milliere2023 · 20 citations
42. Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification ToolsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yilun Hao, Yongchao Chen, Yang Zhang, et al.2025 · 18 citations
43. LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Do Xuan Long, Hai Nguyen Ngoc, Tiviatis Sim, et al.2025 · 14 citations
44. Generating Code World Models with Large Language Models Guided by Monte Carlo Tree SearcharXiv:2405.15383Nicola Dainese, Matteo Merler, Minttu Alakuijala, et al.2024 · 14 citations
45. Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic PuzzlesConference on Neural Information Processing Systems (NeurIPS)Kulin Shah, Nishanth Dikkala, Xin Wang, et al.2024 · 12 citations
46. Augmenting Autotelic Agents with Large Language ModelsarXiv:2305.12487Cedric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, et al.2023 · 11 citations
47. Planning with Multi-Constraints via Collaborative Language AgentsInternational Conference on Computational Linguistics (COLING)Cong Zhang, Xin Deik Goh, Dexun Li, et al.2025 · 10 citations
48. Distilling Internet-Scale Vision-Language Models into Embodied AgentsarXiv:2301.12507Theodore Sumers, Kenneth Marino, Arun Ahuja, et al.2023 · 9 citations
49. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
50. NavA³: Understanding Any Instruction, Navigating Anywhere, Finding AnythingAnnual Meeting of the Association for Computational Linguistics (ACL)Lingfeng Zhang, Xiaoshuai Hao, Yingbo Tang, et al.2026 · 2 citations
51. SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?arXiv:2605.30329Sy-Tuyen Ho, Minghui Liu, Huy Nghiem, et al.2026 · 2 citations
52. "Give a Positive Review Only": An Early Investigation Into In-Paper Prompt Injection Attacks and Defenses for AI ReviewersarXiv:2511.01287Qin Zhou, Zhexin Zhang, Zhi Li, et al.2025 · 2 citations
53. Exploring the use of AI authors and reviewers at Agents4SciencearXiv:2511.15534Federico Bianchi, Owen Queen, Nitya Thakkar, et al.2025 · 2 citations
54. PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in OverleafAnnual Meeting of the Association for Computational Linguistics (ACL)Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner, et al.2026 · 1 citation
55. Zero-Shot Multimodal Retrieval with Multi-Scale Contextual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Sourajit Saha, Tejas Gokhale2026 · 1 citation
56. Bring the Apple, Not the Sofa: Impact of Irrelevant Context in Embodied AI Commands on VLA ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrey Moskalenko, Daria Pugacheva, Denis Shepelev, et al.2026
57. CANDICE: Agentic Causal Disentanglement with Class Conditional Knowledge Integration for Long Tailed Domain GeneralizationFindings of the Association for Computational LinguisticsMidhat Urooj, Ayan Banerjee, Sandeep Gupta2026
58. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMsFindings of the Association for Computational LinguisticsQiuyi Qi, Jinjian Zhang, Mutian Bao, et al.2026
59. Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Kexin Ma, Haotian Wang, Shenglin Chen, et al.2026
60. Context-Aware Language Understanding in Human-Robot Dialogue with LLMsInternational Workshop on Spoken Dialogue System TechnologySvetlana Stoyanchev, Youmna Farag, Simon Keizer, et al.2026
61. FalconCopilot: Empowering LLMs Towards Integrated Human-Machine Systems for Aviation AutonomyFindings of the Association for Computational LinguisticsJingyuan Yan, Qingchen Liu, Qichao Ma, et al.2026
62. Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph GenerationLanguage Resources and Evaluation Conference (LREC)Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.2026
63. From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper EvaluationFindings of the Association for Computational LinguisticsPujun Zheng, Jiacheng Yao, Jinquan Zheng, et al.2026
64. FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Wang, Zongtao Yang, Zhuojian Hong, et al.2026
65. Limited Linguistic Diversity in Embodied AI DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL)Selma Liliane Wanna, Agnes Luhtaru, Jonathan Salfity, et al.2026
66. MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Sun, Yu Song, Teng Shiyu, et al.2026
67. MoEC: A Memory-Routed Mixture-of-Experts Controller for Adaptive Minecraft ControlAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wu, Chao Xu, Jianghui Wang, et al.2026
68. On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Di Wu, Jiaxin Fan, Chloe Gu, et al.2026
69. Preference Optimization for Review Question Generation Improves Writing QualityFindings of the Association for Computational LinguisticsKarun Sharma, Vidushee Vats, Shengzhi LI, et al.2026
70. SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action ModelsFindings of the Association for Computational LinguisticsBingxin Xu, Yuzhang Shang, Binghui Wang, et al.2026
71. Stable Language Guidance for Vision–Language–Action ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Zhan, Yuhao Chen, Jiaying Zhou, et al.2026
72. When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and MitigationarXiv:2609.20942Sy-Tuyen Ho, Minghui Liu, Furong Huang2026
73. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Acta Automatica Sinica (自动化学报)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025

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