🧑‍🔬 Who cites Osbert Bastani

380 citations of their works from 360 papers of our library (of the 149,439 whose bibliographies we read) · 59 with a page here, the most cited first · ← Osbert Bastani

1. Oscar: Object-Semantics Aligned Pre-training for Vision-Language TasksLecture notes in computer scienceXiujun Li, Xi Yin, Chunyuan Li, et al.2020 · 1,877 citations
2. Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Marco Baroni, Georgiana Dinu, Germán Kruszewski2014 · 1,693 citations
3. Grounded Compositional Semantics for Finding and Describing Images with SentencesTransactions of the Association for Computational Linguistics (TACL)Richard Socher, Andrej Karpathy, Quoc V. Le, et al.2014 · 932 citations
4. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodearXiv:2403.07974Naman Jain, King Han, Alex Gu, et al.2024 · 578 citations
5. The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryarXiv:2408.06292Chris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 372 citations
6. Combining Language and Vision with a Multimodal Skip-gram ModelConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Angeliki Lazaridou, Nghia The Pham, Marco Baroni2015 · 368 citations
7. Learning Grounded Meaning Representations with AutoencodersAnnual Meeting of the Association for Computational Linguistics (ACL)Carina Silberer, Mirella Lapata2014 · 288 citations
8. Compositional Vector Space Models for Knowledge Base CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Arvind Neelakantan, Benjamin Roth, Andrew McCallum2015 · 281 citations
9. Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Angeliki Lazaridou, Georgiana Dinu, Marco Baroni2015 · 276 citations
10. Zero-Shot Transfer Learning for Event ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Lifu Huang, Heng Ji, Kyunghyun Cho, et al.2018 · 273 citations
11. Zero-shot User Intent Detection via Capsule Neural NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Congying Xia, Chenwei Zhang, Xiaohui Yan, et al.2018 · 263 citations
12. A Survey of Reinforcement Learning Informed by Natural LanguageInternational Joint Conference on Artificial IntelligenceJelena Luketina, Nantas Nardelli, Gregory Farquhar, et al.2019 · 231 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. Executable Code Actions Elicit Better LLM AgentsarXiv:2402.01030Xingyao Wang, Yangyi Chen, Lifan Yuan, et al.2024 · 165 citations
15. FAST: Efficient Action Tokenization for Vision-Language-Action ModelsarXiv:2501.09747Karl Pertsch, Kyle Stachowicz, Brian Ichter, et al.2025 · 123 citations
16. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 122 citations
17. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
18. Learning from Task DescriptionsConference on Empirical Methods in Natural Language Processing (EMNLP)Orion Weller, Nicholas Lourie, Matt Gardner, et al.2020 · 112 citations
19. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
20. A Survey of Reinforcement Learning from Human FeedbackTransactions on Machine Learning ResearchTimo Kaufmann, Paul Weng, Viktor Bengs, et al.2023 · 92 citations
21. Automated Design of Agentic SystemsarXiv:2408.08435Shengran Hu, Cong Lu, Jeff Clune2024 · 89 citations
22. LLMs Can't Plan, But Can Help Planning in LLM-Modulo FrameworksarXiv:2402.01817 · Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, et al.2024 · 88 citations
23. AndroidWorld: A Dynamic Benchmarking Environment for Autonomous AgentsarXiv:2405.14573Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, et al.2024 · 82 citations
24. Kevin: Multi-Turn RL for Generating CUDA KernelsarXiv 2025Carlo Baronio, Pietro Marsella, Ben Pan, et al.2025 · 69 citations
25. BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous AgentsarXiv:2308.05960Zhiwei Liu, Weiran Yao, Jianguo Zhang, et al.2023 · 51 citations
26. Darwin Godel Machine: Open-Ended Evolution of Self-Improving AgentsarXiv:2505.22954Jenny Zhang, Shengran Hu, Cong Lu, et al.2025 · 47 citations
27. RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human expertsarXiv:2411.15114Hjalmar Wijk, Tao Lin, Joel Becker, et al.2024 · 46 citations
28. ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program EvolutionarXiv:2509.19349Robert Tjarko Lange, Yuki Imajuku, Edoardo Cetin2025 · 42 citations
29. Neural Cross-Lingual Coreference Resolution And Its Application To Entity LinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Gourab Kundu, Avi Sil, Radu Florian, et al.2018 · 41 citations
30. A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to ReproducibilityarXiv:2504.07086Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao, et al.2025 · 36 citations
31. LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific DiscoveryarXiv:2405.09783Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, et al.2024 · 33 citations
32. Probing Contextual Language Models for Common Ground with Visual RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Gabriel Ilharco, Rowan Zellers, Ali Farhadi, et al.2021 · 33 citations
33. ACECODER: Acing Coder RL via Automated Test-Case SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Huaye Zeng, Dongfu Jiang, Haozhe Wang, et al.2025 · 32 citations
34. Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and ChallengesarXiv:2403.02990Bosheng Ding, Chengwei Qin, Ruochen Zhao, et al.2024 · 32 citations
35. SelfCodeAlign: Self-Alignment for Code GenerationConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Federico Cassano, Jiawei Liu, et al.2024 · 32 citations
36. 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
37. Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown CategoriesSina Zarrieß, David Schlangen2019 · 24 citations
38. SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative RefinementarXiv:2410.20285Antonis Antoniades, Albert Orwall, Kexun Zhang, et al.2024 · 22 citations
39. CodeDPO: Aligning Code Models with Self Generated and Verified Source CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Kechi Zhang, Ge Li, Yihong Dong, et al.2025 · 20 citations
40. The Vector Grounding ProblemarXiv:2304.01481Dimitri Coelho Mollo, Raphael Milliere2023 · 20 citations
41. Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and PlanningarXiv:2312.05230Zhiting Hu, Tianmin Shu2023 · 18 citations
42. Modelling Commonsense Properties Using Pre-Trained Bi-EncodersInternational Conference on Computational Linguistics (COLING)Amit Gajbhiye, Luis Espinosa-Anke, Steven Schockaert2022 · 18 citations
43. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphConference on Neural Information Processing Systems (NeurIPS)Zhehao Zhang, Jiaao Chen, Diyi Yang2024 · 17 citations
44. Meta Large Language Model Compiler: Foundation Models of Compiler OptimizationarXiv:2407.02524Chris Cummins, Volker Seeker, Dejan Grubisic, et al.2024 · 16 citations
45. OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in CodearXiv:2405.15568Maxence Faldor, Jenny Zhang, Antoine Cully, et al.2024 · 15 citations
46. Discovering Preference Optimization Algorithms with and for Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Chris Lu, Samuel Holt, Claudio Fanconi, et al.2024 · 14 citations
47. Open-Endedness is Essential for Artificial Superhuman IntelligencearXiv:2406.04268Edward Hughes, Michael Dennis, Jack Parker-Holder, et al.2024 · 14 citations
48. Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement LearningarXiv:2504.05108Anja Surina, Amin Mansouri, Lars Quaedvlieg, et al.2025 · 12 citations
49. EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuningarXiv:2410.10209Dong Huang, Guangtao Zeng, Jianbo Dai, et al.2024 · 11 citations
50. EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence CheckingConference on Empirical Methods in Natural Language Processing (EMNLP)Anjiang Wei, Jiannan Cao, Ran Li, et al.2025 · 8 citations
51. AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model DiscoveryarXiv:2604.05550Yu Li, Chenyang Shao, Xinyang Liu, et al.2026 · 5 citations
52. Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?International Joint Conference on Natural Language Processing (IJCNLP)Kai Yan, Yufei Xu, Zhengyin Du, et al.2025 · 5 citations
53. Hebrew Diacritics Restoration using Visual RepresentationYair Elboher, Yuval Pinter2026 · 1 citation
54. 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
55. 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
56. 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
57. PerfCoder: Large Language Models for Interpretable Code Performance OptimizationFindings of the Association for Computational LinguisticsJiuding Yang, Shengyao Lu, Hongxuan Liu, et al.2026
58. 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
59. 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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