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Who cites Pierre Sermanet

2,013 citations of their works from 1,745 papers of our library (of the 149,439 whose bibliographies we read) · 277 with a page here, the most cited first · page 3 of 3 · 201–277 · ← Pierre Sermanet

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  1. Character Level Convolutional Neural Network for Arabic Dialect IdentificationInternational Conference on Computational Linguistics (COLING)Mohamed Ali2018 · 52 citations
  2. SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain KnowledgeProceedings of the AAAI Conference on Artificial IntelligenceRishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt2023 · 51 citations
  3. DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based ReasoningarXiv:2402.17453Siyuan Guo, Cheng Deng, Ying Wen, et al.2024 · 50 citations
  4. Stream of Search (SoS): Learning to Search in LanguagearXiv:2404.03683Kanishk Gandhi, Denise Lee, Gabriel Grand, et al.2024 · 49 citations
  5. 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
  6. PROST: Physical Reasoning about Objects through Space and TimeFindings of the Association for Computational LinguisticsStéphane Aroca-Ouellette, Cory Paik, Alessandro Roncone, et al.2021 · 40 citations
  7. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
  8. Can GPT-4 Perform Neural Architecture Search?arXiv:2304.10970Mingkai Zheng, Xiu Su, Shan You, et al.2023 · 38 citations
  9. Collaborating with language models for embodied reasoningarXiv:2302.00763Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, et al.2023 · 36 citations
  10. ChessGPT: Bridging Policy Learning and Language ModelingConference on Neural Information Processing Systems (NeurIPS)Xidong Feng, Yicheng Luo, Ziyan Wang, et al.2023 · 34 citations
  11. CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and GeneralizationarXiv:2310.10134Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, et al.2023 · 34 citations
  12. WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the EnvironmentConference on Neural Information Processing Systems (NeurIPS)Hao Tang, Darren Key, Kevin Ellis2024 · 32 citations
  13. NEWTON: Are Large Language Models Capable of Physical Reasoning?Findings of the Association for Computational LinguisticsYi Wang, Jiafei Duan, Dieter Fox, et al.2023 · 27 citations
  14. PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) PlanningarXiv:2305.19472Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, et al.2023 · 25 citations
  15. Humans Learn Language from Situated Communicative Interactions. What about Machines?Computational LinguisticsKatrien Beuls, Paul Van Eecke2024 · 21 citations
  16. Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal ReasoningarXiv:2310.03249Mohamed Aghzal, Erion Plaku, Ziyu Yao2023 · 21 citations
  17. Learning to Reason and Memorize with Self-NotesConference on Neural Information Processing Systems (NeurIPS)Jack Lanchantin, Shubham Toshniwal, Jason Weston, et al.2023 · 21 citations
  18. The Vector Grounding ProblemarXiv:2304.01481Dimitri Coelho Mollo, Raphael Milliere2023 · 20 citations
  19. Quality-Diversity through AI FeedbackarXiv:2310.13032Herbie Bradley, Andrew Dai, Hannah Teufel, et al.2023 · 19 citations
  20. 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
  21. Aviary: training language agents on challenging scientific tasksarXiv:2412.21154Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, et al.2024 · 18 citations
  22. Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and PlanningarXiv:2312.05230Zhiting Hu, Tianmin Shu2023 · 18 citations
  23. Large Language Model ProgramsarXiv:2305.05364Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, et al.2023 · 18 citations
  24. Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon PredictionIEEE Computer Society Conference on Computer Vision and Pattern RecognitionShaofei Cai, Zihao Wang, Xiaojian Ma, et al.2023 · 18 citations
  25. Sparks of Science: Hypothesis Generation Using Structured Paper DataarXiv:2504.12976Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.2025 · 16 citations
  26. Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTSFindings of the Association for Computational LinguisticsShijia Xu, Zhou Wu, Xiaolong Jia, et al.2026 · 15 citations
  27. 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
  28. Open-Endedness is Essential for Artificial Superhuman IntelligencearXiv:2406.04268Edward Hughes, Michael Dennis, Jack Parker-Holder, et al.2024 · 14 citations
  29. Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample EfficiencyarXiv:2309.17382Zhihan Liu, Hao Hu, Shenao Zhang, et al.2023 · 13 citations
  30. LLM-Based Human-Agent Collaboration and Interaction Systems: A SurveyFindings of the Association for Computational LinguisticsHenry Peng Zou, Wei-Chieh Huang, Yaozu Wu, et al.2026 · 12 citations
  31. 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
  32. Augmenting Autotelic Agents with Large Language ModelsarXiv:2305.12487Cedric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, et al.2023 · 11 citations
  33. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?Annual Meeting of the Association for Computational Linguistics (ACL)Yuyao Ge, Shenghua Liu, Baolong Bi, et al.2025 · 10 citations
  34. Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language ModelsarXiv:2305.17077Daman Arora, Subbarao Kambhampati2023 · 10 citations
  35. Distilling Internet-Scale Vision-Language Models into Embodied AgentsarXiv:2301.12507Theodore Sumers, Kenneth Marino, Arun Ahuja, et al.2023 · 9 citations
  36. Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in EpigraphyAndrei C. Aioanei, Regine Hunziker-Rodewald, Konstantin Klein, et al.2023 · 8 citations
  37. Learning to (Learn at Test Time)arXiv:2310.13807Yu Sun, Xinhao Li, Karan Dalal, et al.2023 · 6 citations
  38. Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Mengna Wang, Gangao Liu, et al.2026 · 5 citations
  39. Growing Through Experience: Scaling Episodic Grounding in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chunhui Zhang, Sirui Wang, Zhongyu Ouyang, et al.2025 · 5 citations
  40. Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Shunqi Mao, Chaoyi Zhang, Weidong Cai2026 · 4 citations
  41. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
  42. From Storage to Experience: A Survey on the Evolution of LLM Agent Memory MechanismsFindings of the Association for Computational LinguisticsJinghao Luo, Yuchen Tian, Chuxue Cao, et al.2026 · 3 citations
  43. MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data SynthesisFindings of the Association for Computational LinguisticsZixiong Yu, Jun Rao, Guhan Chen, et al.2026 · 3 citations
  44. EvoRoute: Experience-Driven Self-Routing LLM Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Guibin Zhang, Haiyang Yu, Kaiming Yang, et al.2026 · 2 citations
  45. V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsXiangxi Zheng, Linjie Li, Zhengyuan Yang, et al.2026 · 2 citations
  46. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
  47. Strong Reasoning Isn't Enough: Evaluating Evidence Elicitation in Interactive DiagnosisFindings of the Association for Computational LinguisticsZhuohan Long, Zhongyu Wei2026 · 1 citation
  48. TempPerturb-Eval: On the Joint Effects of Internal Temperature and External Perturbations in RAG RobustnessLanguage Resources and Evaluation Conference (LREC)Yongxin Zhou, Philippe Mulhem, Didier Schwab2026 · 1 citation
  49. Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling PerspectivearXiv:2305.17760Khanh Nguyen2023 · 1 citation
  50. Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based OptimizersConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.2026
  51. ArrowGEV: Grounding Events in Video via Learning the Arrow of TimeFindings of the Association for Computational LinguisticsFangxu Yu, Ziyao Lu, Liqiang Niu, et al.2026
  52. 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
  53. Can VLMs Predict Future States? Bootstrapping World Models from Inverse DynamicsFindings of the Association for Computational LinguisticsYifu Qiu, Yftah Ziser, Anna Korhonen, et al.2026
  54. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMsFindings of the Association for Computational LinguisticsQiuyi Qi, Jinjian Zhang, Mutian Bao, et al.2026
  55. Chronos: Learning Temporal Dynamics of Reasoning Chains for Test-Time ScalingFindings of the Association for Computational LinguisticsKai Zhang, Jiayi Liao, Chengpeng Li, et al.2026
  56. 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
  57. ConSensus: Multi-Agent Collaboration for Multimodal SensingFindings of the Association for Computational LinguisticsHyungjun Yoon, Mohammad Malekzadeh, Sung-Ju Lee, et al.2026
  58. Context-Aware Language Understanding in Human-Robot Dialogue with LLMsInternational Workshop on Spoken Dialogue System TechnologySvetlana Stoyanchev, Youmna Farag, Simon Keizer, et al.2026
  59. Context-Value-Action Architecture for Value-Driven Large Language Model AgentsFindings of the Association for Computational LinguisticsTianZe Zhang, Sirui Sun, Yuhang Xie, et al.2026
  60. FAER: Benchmarking VLMs for Failure-Aware Embodied ReasoningFindings of the Association for Computational LinguisticsHao Song, Kaifeng Liu, Yuanxing Liu, 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. I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghan Yu, Junhao Xiao, Chenyu Zhu, et al.2026
  64. LARA: LLM-based Agile Power Distribution Network Restoration from Disastrous EventsFindings of the Association for Computational LinguisticsJishnu Warrier, Heqing Huang, Yuzhang Lin, et al.2026
  65. Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt InjectionAnnual Meeting of the Association for Computational Linguistics (ACL)Zedian Shao, Hongbin Liu, Yuepeng Hu, et al.2026
  66. 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
  67. MADRA: Multi-Agent Debate for Risk-Aware Embodied PlanningFindings of the Association for Computational LinguisticsJunJian Wang, Lidan Zhao, Xi Sheryl Zhang2026
  68. 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
  69. Model-Based Imaginative Planning for Embodied AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Junru Song, Hengzhe Jin, Yucong Huang, et al.2026
  70. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
  71. RoboFailRing: Retrieval-Augmented and Language Grounding Failure Detection for VLM-enabled Robotic ManipulationAnnual Meeting of the Association for Computational Linguistics (ACL)Chenduo Ying, Linkang Du, Yuanchao Shu, et al.2026
  72. ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming UnderstandingFindings of the Association for Computational LinguisticsTian Xueyun, Wei Li, Bingbing Xu, et al.2026
  73. Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement LearningFindings of the Association for Computational LinguisticsZoya Volovikova, Nikita Sorokin, Dmitriy Lukashevskiy, et al.2026
  74. 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
  75. SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent SpaceConference of the European Chapter of the Association for Computational Linguistics (EACL)Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.2026
  76. 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
  77. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Acta Automatica Sinica (自动化学报)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025

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