---
title: "Who cites Osbert Bastani — 360 papers of our library"
description: "360 papers of the Elamur Research library cite the works of Osbert Bastani, found in their bibliographies; the most cited first."
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---
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# 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](https://md.research.elamur.ai/free/en/authors/osbert-bastani/)

1. **[Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/li-2020-oscar-object-semantics-aligned-pre/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Xiujun 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 vectors](https://md.research.elamur.ai/free/en/papers/baroni-2014-don-t-count-predict-systematic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marco Baroni, Georgiana Dinu, Germán Kruszewski*2014 · 1,693 citations*
3. **[Grounded Compositional Semantics for Finding and Describing Images with Sentences](https://md.research.elamur.ai/free/en/papers/socher-2014-grounded-compositional-semantics-finding-describing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/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 Code arXiv:2403.07974**Naman Jain, King Han, Alex Gu, et al.*2024 · 578 citations*](https://md.research.elamur.ai/free/en/papers/jain-2024-livecodebench-holistic-contamination-free-evaluation/)
5. [**The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery arXiv:2408.06292**Chris Lu, Cong Lu, Robert Tjarko Lange, et al.*2024 · 372 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-ai-scientist-fully-automated/)
6. **[Combining Language and Vision with a Multimodal Skip-gram Model](https://md.research.elamur.ai/free/en/papers/lazaridou-2015-combining-language-vision-multimodal-skip/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Angeliki Lazaridou, Nghia The Pham, Marco Baroni*2015 · 368 citations*
7. **[Learning Grounded Meaning Representations with Autoencoders](https://md.research.elamur.ai/free/en/papers/silberer-2014-learning-grounded-meaning-representations-autoencoders/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Carina Silberer, Mirella Lapata*2014 · 288 citations*
8. **[Compositional Vector Space Models for Knowledge Base Completion](https://md.research.elamur.ai/free/en/papers/neelakantan-2015-compositional-vector-space-models-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arvind Neelakantan, Benjamin Roth, Andrew McCallum*2015 · 281 citations*
9. **[Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning](https://md.research.elamur.ai/free/en/papers/lazaridou-2015-hubness-pollution-delving-into-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Angeliki Lazaridou, Georgiana Dinu, Marco Baroni*2015 · 276 citations*
10. **[Zero-Shot Transfer Learning for Event Extraction](https://md.research.elamur.ai/free/en/papers/huang-2018-zero-shot-transfer-learning-event/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lifu Huang, Heng Ji, Kyunghyun Cho, et al.*2018 · 273 citations*
11. **[Zero-shot User Intent Detection via Capsule Neural Networks](https://md.research.elamur.ai/free/en/papers/xia-2018-zero-shot-user-intent-detection/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Congying Xia, Chenwei Zhang, Xiaohui Yan, et al.*2018 · 263 citations*
12. **[A Survey of Reinforcement Learning Informed by Natural Language](https://md.research.elamur.ai/free/en/papers/luketina-2019-survey-reinforcement-learning-informed-natural/) [International Joint Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/international-joint-conference-on-artificial-intelligence/)**Jelena Luketina, Nantas Nardelli, Gregory Farquhar, et al.*2019 · 231 citations*
13. **[Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces](https://md.research.elamur.ai/free/en/papers/yang-2024-thinking-space-multimodal-large-language/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Jihan Yang, Shusheng Yang, Anjali W. Gupta, et al.*2024 · 182 citations*
14. [**Executable Code Actions Elicit Better LLM Agents arXiv:2402.01030**Xingyao Wang, Yangyi Chen, Lifan Yuan, et al.*2024 · 165 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-executable-code-actions-elicit-better/)
15. [**FAST: Efficient Action Tokenization for Vision-Language-Action Models arXiv:2501.09747**Karl Pertsch, Kyle Stachowicz, Brian Ichter, et al.*2025 · 123 citations*](https://md.research.elamur.ai/free/en/papers/pertsch-2025-fast-efficient-action-tokenization-vision/)
16. [**CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution arXiv:2401.03065**Alex Gu, Baptiste Rozière, Hugh Leather, et al.*2024 · 122 citations*](https://md.research.elamur.ai/free/en/papers/gu-2024-cruxeval-benchmark-code-reasoning-understanding/)
17. [**Best Practices and Lessons Learned on Synthetic Data arXiv:2404.07503**Ruibo Liu, Jerry Wei, Fangyu Liu, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-best-practices-lessons-learned-synthetic/)
18. **[Learning from Task Descriptions](https://md.research.elamur.ai/free/en/papers/weller-2020-learning-task-descriptions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Orion Weller, Nicholas Lourie, Matt Gardner, et al.*2020 · 112 citations*
19. [**TextGrad: Automatic "Differentiation" via Text arXiv:2406.07496**Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.*2024 · 96 citations*](https://md.research.elamur.ai/free/en/papers/yuksekgonul-2024-textgrad-automatic-differentiation-text/)
20. **[A Survey of Reinforcement Learning from Human Feedback](https://md.research.elamur.ai/free/en/papers/kaufmann-2023-survey-reinforcement-learning-human-feedback/) [Transactions on Machine Learning Research](https://md.research.elamur.ai/free/en/venues/transactions-on-machine-learning-research/)**Timo Kaufmann, Paul Weng, Viktor Bengs, et al.*2023 · 92 citations*
21. [**Automated Design of Agentic Systems arXiv:2408.08435**Shengran Hu, Cong Lu, Jeff Clune*2024 · 89 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-automated-design-agentic-systems/)
22. [**LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks arXiv:2402.01817 · Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024**Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, et al.*2024 · 88 citations*](https://md.research.elamur.ai/free/en/papers/kambhampati-2024-llms-t-plan-but-help/)
23. [**AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents arXiv:2405.14573**Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, et al.*2024 · 82 citations*](https://md.research.elamur.ai/free/en/papers/rawles-2024-androidworld-dynamic-benchmarking-environment-autonomous/)
24. [**Kevin: Multi-Turn RL for Generating CUDA Kernels arXiv 2025**Carlo Baronio, Pietro Marsella, Ben Pan, et al.*2025 · 69 citations*](https://md.research.elamur.ai/free/en/papers/baronio-2025-kevin-multi-turn-rl-generating/)
25. [**BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents arXiv:2308.05960**Zhiwei Liu, Weiran Yao, Jianguo Zhang, et al.*2023 · 51 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-bolaa-benchmarking-orchestrating-llm-augmented/)
26. [**Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents arXiv:2505.22954**Jenny Zhang, Shengran Hu, Cong Lu, et al.*2025 · 47 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-darwin-godel-machine-open/)
27. [**RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts arXiv:2411.15114**Hjalmar Wijk, Tao Lin, Joel Becker, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/wijk-2024-re-bench-evaluating-frontier/)
28. [**ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution arXiv:2509.19349**Robert Tjarko Lange, Yuki Imajuku, Edoardo Cetin*2025 · 42 citations*](https://md.research.elamur.ai/free/en/papers/lange-2025-shinkaevolve-open-ended-sample/)
29. **[Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking](https://md.research.elamur.ai/free/en/papers/kundu-2018-neural-cross-lingual-coreference-resolution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Reproducibility arXiv:2504.07086**Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao, et al.*2025 · 36 citations*](https://md.research.elamur.ai/free/en/papers/hochlehnert-2025-sober-look-progress-language-model/)
31. [**LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery arXiv:2405.09783**Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, et al.*2024 · 33 citations*](https://md.research.elamur.ai/free/en/papers/ma-2024-llm-simulation-bilevel-optimizers-new/)
32. **[Probing Contextual Language Models for Common Ground with Visual Representations](https://md.research.elamur.ai/free/en/papers/ilharco-2021-probing-contextual-language-models-common/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Gabriel Ilharco, Rowan Zellers, Ali Farhadi, et al.*2021 · 33 citations*
33. **[ACECODER: Acing Coder RL via Automated Test-Case Synthesis](https://md.research.elamur.ai/free/en/papers/zeng-2025-acecoder-acing-coder-rl-automated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huaye Zeng, Dongfu Jiang, Haozhe Wang, et al.*2025 · 32 citations*
34. [**Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges arXiv:2403.02990**Bosheng Ding, Chengwei Qin, Ruochen Zhao, et al.*2024 · 32 citations*](https://md.research.elamur.ai/free/en/papers/ding-2024-data-augmentation-using-large-language/)
35. **[SelfCodeAlign: Self-Alignment for Code Generation](https://md.research.elamur.ai/free/en/papers/wei-2024-selfcodealign-self-alignment-code-generation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**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 Environment](https://md.research.elamur.ai/free/en/papers/tang-2024-worldcoder-model-based-llm/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hao Tang, Darren Key, Kevin Ellis*2024 · 32 citations*
37. [**Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories**Sina Zarrieß, David Schlangen*2019 · 24 citations*](https://md.research.elamur.ai/free/en/papers/zarriess-2019-know-what-you-don-t/)
38. [**SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement arXiv:2410.20285**Antonis Antoniades, Albert Orwall, Kexun Zhang, et al.*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/antoniades-2024-swe-search-enhancing-software-agents/)
39. **[CodeDPO: Aligning Code Models with Self Generated and Verified Source Code](https://md.research.elamur.ai/free/en/papers/zhang-2025-codedpo-aligning-code-models-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kechi Zhang, Ge Li, Yihong Dong, et al.*2025 · 20 citations*
40. [**The Vector Grounding Problem arXiv:2304.01481**Dimitri Coelho Mollo, Raphael Milliere*2023 · 20 citations*](https://md.research.elamur.ai/free/en/papers/mollo-2023-vector-grounding-problem/)
41. [**Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning arXiv:2312.05230**Zhiting Hu, Tianmin Shu*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-language-models-agent-models-world/)
42. **[Modelling Commonsense Properties Using Pre-Trained Bi-Encoders](https://md.research.elamur.ai/free/en/papers/gajbhiye-2022-modelling-commonsense-properties-pre-trained/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Amit Gajbhiye, Luis Espinosa-Anke, Steven Schockaert*2022 · 18 citations*
43. **[DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph](https://md.research.elamur.ai/free/en/papers/zhang-2024-darg-dynamic-evaluation-large-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhehao Zhang, Jiaao Chen, Diyi Yang*2024 · 17 citations*
44. [**Meta Large Language Model Compiler: Foundation Models of Compiler Optimization arXiv:2407.02524**Chris Cummins, Volker Seeker, Dejan Grubisic, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/cummins-2024-meta-large-language-model-compiler/)
45. [**OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code arXiv:2405.15568**Maxence Faldor, Jenny Zhang, Antoine Cully, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/faldor-2024-omni-epic-open-endedness-models/)
46. **[Discovering Preference Optimization Algorithms with and for Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2024-discovering-preference-optimization-algorithms-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Chris Lu, Samuel Holt, Claudio Fanconi, et al.*2024 · 14 citations*
47. [**Open-Endedness is Essential for Artificial Superhuman Intelligence arXiv:2406.04268**Edward Hughes, Michael Dennis, Jack Parker-Holder, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/hughes-2024-open-endedness-essential-artificial-superhuman/)
48. [**Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning arXiv:2504.05108**Anja Surina, Amin Mansouri, Lars Quaedvlieg, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/surina-2025-algorithm-discovery-llms-evolutionary-search/)
49. [**EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning arXiv:2410.10209**Dong Huang, Guangtao Zeng, Jianbo Dai, et al.*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-efficoder-enhancing-code-generation-large/)
50. **[EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence Checking](https://md.research.elamur.ai/free/en/papers/wei-2025-equibench-benchmarking-large-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 Discovery arXiv:2604.05550**Yu Li, Chenyang Shao, Xinyang Liu, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/li-2026-autosota-end-end-automated-research/)
52. **[Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?](https://md.research.elamur.ai/free/en/papers/yan-2025-recitation-over-reasoning-how-cutting/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Kai Yan, Yufei Xu, Zhengyin Du, et al.*2025 · 5 citations*
53. [**Hebrew Diacritics Restoration using Visual Representation**Yair Elboher, Yuval Pinter*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elboher-2026-hebrew-diacritics-restoration-visual-representation/)
54. **[Bring the Apple, Not the Sofa: Impact of Irrelevant Context in Embodied AI Commands on VLA Models](https://md.research.elamur.ai/free/en/papers/moskalenko-2026-bring-apple-not-sofa-impact/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Andrey Moskalenko, Daria Pugacheva, Denis Shepelev, et al.*2026*
55. **[Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph Generation](https://md.research.elamur.ai/free/en/papers/watson-2026-frame2kg-benchmark-evaluation-toolkit-interpretable/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026*
56. **[Limited Linguistic Diversity in Embodied AI Datasets](https://md.research.elamur.ai/free/en/papers/wanna-2026-limited-linguistic-diversity-embodied-ai/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Selma Liliane Wanna, Agnes Luhtaru, Jonathan Salfity, et al.*2026*
57. **[PerfCoder: Large Language Models for Interpretable Code Performance Optimization](https://md.research.elamur.ai/free/en/papers/yang-2026-perfcoder-large-language-models-interpretable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiuding Yang, Shengyao Lu, Hongxuan Liu, et al.*2026*
58. **[SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models](https://md.research.elamur.ai/free/en/papers/xu-2026-silentdrift-exploiting-action-chunking-stealthy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bingxin 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*](https://md.research.elamur.ai/free/en/papers/wang-2025-embodied-intelligence-systems/)

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