---
title: "Who cites Pierre Sermanet — page 3 — 1,745 citing papers"
description: "1,745 papers of the Elamur Research library cite the works of Pierre Sermanet, found in their bibliographies · page 3 of 3 · 201–277; the most…"
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---
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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](https://md.research.elamur.ai/free/en/authors/pierre-sermanet/)

[← prev](https://md.research.elamur.ai/free/en/authors/pierre-sermanet/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/authors/pierre-sermanet/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/pierre-sermanet/cited-by/page/2/) **3**

201. **[Character Level Convolutional Neural Network for Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/ali-2018-character-level-convolutional-neural-network/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mohamed Ali*2018 · 52 citations*
202. **[SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge](https://md.research.elamur.ai/free/en/papers/hazra-2023-saycanpay-heuristic-planning-large-language/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt*2023 · 51 citations*
203. [**DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning arXiv:2402.17453**Siyuan Guo, Cheng Deng, Ying Wen, et al.*2024 · 50 citations*](https://md.research.elamur.ai/free/en/papers/guo-2024-ds-agent-automated-data-science/)
204. [**Stream of Search (SoS): Learning to Search in Language arXiv:2404.03683**Kanishk Gandhi, Denise Lee, Gabriel Grand, et al.*2024 · 49 citations*](https://md.research.elamur.ai/free/en/papers/gandhi-2024-stream-search-sos-learning-search/)
205. [**JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models arXiv:2311.05997**Zihao Wang, Shaofei Cai, Anji Liu, et al.*2023 · 47 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-jarvis-1-open-world-multi/)
206. **[PROST: Physical Reasoning about Objects through Space and Time](https://md.research.elamur.ai/free/en/papers/ouellette-2021-prost-physical-reasoning-about-objects/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Stéphane Aroca-Ouellette, Cory Paik, Alessandro Roncone, et al.*2021 · 40 citations*
207. [**InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output arXiv:2407.03320**Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.*2024 · 39 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-internlm-xcomposer-2-5/)
208. [**Can GPT-4 Perform Neural Architecture Search? arXiv:2304.10970**Mingkai Zheng, Xiu Su, Shan You, et al.*2023 · 38 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-gpt-4-perform-neural-architecture/)
209. [**Collaborating with language models for embodied reasoning arXiv:2302.00763**Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, et al.*2023 · 36 citations*](https://md.research.elamur.ai/free/en/papers/dasgupta-2023-collaborating-language-models-embodied-reasoning/)
210. **[ChessGPT: Bridging Policy Learning and Language Modeling](https://md.research.elamur.ai/free/en/papers/feng-2023-chessgpt-bridging-policy-learning-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xidong Feng, Yicheng Luo, Ziyan Wang, et al.*2023 · 34 citations*
211. [**CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization arXiv:2310.10134**Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, et al.*2023 · 34 citations*](https://md.research.elamur.ai/free/en/papers/majumder-2023-clin-continually-learning-language-agent/)
212. **[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*
213. **[NEWTON: Are Large Language Models Capable of Physical Reasoning?](https://md.research.elamur.ai/free/en/papers/wang-2023-newton-are-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yi Wang, Jiafei Duan, Dieter Fox, et al.*2023 · 27 citations*
214. [**PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning arXiv:2305.19472**Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, et al.*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/brahman-2023-plasma-making-small-language-models/)
215. **[Humans Learn Language from Situated Communicative Interactions. What about Machines?](https://md.research.elamur.ai/free/en/papers/beuls-2024-humans-learn-language-situated-communicative/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Katrien Beuls, Paul Van Eecke*2024 · 21 citations*
216. [**Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning arXiv:2310.03249**Mohamed Aghzal, Erion Plaku, Ziyu Yao*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/aghzal-2023-large-language-models-good-path/)
217. **[Learning to Reason and Memorize with Self-Notes](https://md.research.elamur.ai/free/en/papers/lanchantin-2023-learning-reason-memorize-self-notes/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jack Lanchantin, Shubham Toshniwal, Jason Weston, et al.*2023 · 21 citations*
218. [**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/)
219. [**Quality-Diversity through AI Feedback arXiv:2310.13032**Herbie Bradley, Andrew Dai, Hannah Teufel, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/bradley-2023-quality-diversity-through-ai-feedback/)
220. **[Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools](https://md.research.elamur.ai/free/en/papers/hao-2025-large-language-models-can-solve/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yilun Hao, Yongchao Chen, Yang Zhang, et al.*2025 · 18 citations*
221. [**Aviary: training language agents on challenging scientific tasks arXiv:2412.21154**Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, et al.*2024 · 18 citations*](https://md.research.elamur.ai/free/en/papers/narayanan-2024-aviary-training-language-agents/)
222. [**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/)
223. [**Large Language Model Programs arXiv:2305.05364**Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/schlag-2023-large-language-model-programs/)
224. **[Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction](https://md.research.elamur.ai/free/en/papers/cai-2023-open-world-multi-task-control/) [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/)**Shaofei Cai, Zihao Wang, Xiaojian Ma, et al.*2023 · 18 citations*
225. [**Sparks of Science: Hypothesis Generation Using Structured Paper Data arXiv:2504.12976**Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/o-neill-2025-sparks-science-hypothesis-generation-using/)
226. **[Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS](https://md.research.elamur.ai/free/en/papers/xu-2026-self-correcting-rag-enhancing-faithfulness/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shijia Xu, Zhou Wu, Xiaolong Jia, et al.*2026 · 15 citations*
227. [**Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search arXiv:2405.15383**Nicola Dainese, Matteo Merler, Minttu Alakuijala, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/dainese-2024-generating-code-world-models/)
228. [**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/)
229. [**Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency arXiv:2309.17382**Zhihan Liu, Hao Hu, Shenao Zhang, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-reason-future-act-now-principled/)
230. **[LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey](https://md.research.elamur.ai/free/en/papers/zou-2026-llm-based-human-agent-collaboration/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, et al.*2026 · 12 citations*
231. **[Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles](https://md.research.elamur.ai/free/en/papers/shah-2024-causal-language-modeling-elicit-search/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Kulin Shah, Nishanth Dikkala, Xin Wang, et al.*2024 · 12 citations*
232. [**Augmenting Autotelic Agents with Large Language Models arXiv:2305.12487**Cedric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/colas-2023-augmenting-autotelic-agents-large-language/)
233. **[Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?](https://md.research.elamur.ai/free/en/papers/ge-2025-can-graph-descriptive-order-affect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuyao Ge, Shenghua Liu, Baolong Bi, et al.*2025 · 10 citations*
234. [**Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models arXiv:2305.17077**Daman Arora, Subbarao Kambhampati*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/arora-2023-learning-leveraging-verifiers-improve-planning/)
235. [**Distilling Internet-Scale Vision-Language Models into Embodied Agents arXiv:2301.12507**Theodore Sumers, Kenneth Marino, Arun Ahuja, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/sumers-2023-distilling-internet-scale-vision-language/)
236. [**Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in Epigraphy**Andrei C. Aioanei, Regine Hunziker-Rodewald, Konstantin Klein, et al.*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/aioanei-2023-deep-aramaic-towards-synthetic-data/)
237. [**Learning to (Learn at Test Time) arXiv:2310.13807**Yu Sun, Xinhao Li, Karan Dalal, et al.*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-learning-learn-test-time/)
238. **[Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks](https://md.research.elamur.ai/free/en/papers/zhang-2026-embodied-reasoner-synergizing-visual-search/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqi Zhang, Mengna Wang, Gangao Liu, et al.*2026 · 5 citations*
239. **[Growing Through Experience: Scaling Episodic Grounding in Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-growing-through-experience-scaling-episodic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chunhui Zhang, Sirui Wang, Zhongyu Ouyang, et al.*2025 · 5 citations*
240. **[Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding](https://md.research.elamur.ai/free/en/papers/mao-2026-through-magnifying-glass-adaptive-perception/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shunqi Mao, Chaoyi Zhang, Weidong Cai*2026 · 4 citations*
241. **[Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities](https://md.research.elamur.ai/free/en/papers/oh-2026-uncertainty-quantification-llm-agents-foundations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changdae Oh, Seongheon Park, To Eun Kim, et al.*2026 · 4 citations*
242. **[From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms](https://md.research.elamur.ai/free/en/papers/luo-2026-storage-experience-survey-evolution-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinghao Luo, Yuchen Tian, Chuxue Cao, et al.*2026 · 3 citations*
243. **[MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis](https://md.research.elamur.ai/free/en/papers/yu-2026-mathagent-adversarial-evolution-constraint-graphs/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zixiong Yu, Jun Rao, Guhan Chen, et al.*2026 · 3 citations*
244. **[EvoRoute: Experience-Driven Self-Routing LLM Agent Systems](https://md.research.elamur.ai/free/en/papers/zhang-2026-evoroute-experience-driven-self-routing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guibin Zhang, Haiyang Yu, Kaiming Yang, et al.*2026 · 2 citations*
245. **[V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-v-mage-game-evaluation-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiangxi Zheng, Linjie Li, Zhengyuan Yang, et al.*2026 · 2 citations*
246. **[From Weights to Activations: Is Steering the Next Frontier of Adaptation?](https://md.research.elamur.ai/free/en/papers/ostermann-2026-weights-activations-is-steering-next/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.*2026 · 1 citation*
247. **[Strong Reasoning Isn't Enough: Evaluating Evidence Elicitation in Interactive Diagnosis](https://md.research.elamur.ai/free/en/papers/long-2026-strong-reasoning-isn-t-enough/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuohan Long, Zhongyu Wei*2026 · 1 citation*
248. **[TempPerturb-Eval: On the Joint Effects of Internal Temperature and External Perturbations in RAG Robustness](https://md.research.elamur.ai/free/en/papers/zhou-2026-tempperturb-eval-joint-effects-internal/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yongxin Zhou, Philippe Mulhem, Didier Schwab*2026 · 1 citation*
249. [**Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling Perspective arXiv:2305.17760**Khanh Nguyen*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nguyen-2023-language-models-bounded-pragmatic-speakers/)
250. **[Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers](https://md.research.elamur.ai/free/en/papers/zhao-2026-are-my-optimized-prompts-compromised/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.*2026*
251. **[ArrowGEV: Grounding Events in Video via Learning the Arrow of Time](https://md.research.elamur.ai/free/en/papers/yu-2026-arrowgev-grounding-events-video-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fangxu Yu, Ziyao Lu, Liqiang Niu, et al.*2026*
252. **[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*
253. **[Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics](https://md.research.elamur.ai/free/en/papers/qiu-2026-can-vlms-predict-future-states/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifu Qiu, Yftah Ziser, Anna Korhonen, et al.*2026*
254. **[CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs](https://md.research.elamur.ai/free/en/papers/qi-2026-carl-constraint-aware-reinforcement-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiuyi Qi, Jinjian Zhang, Mutian Bao, et al.*2026*
255. **[Chronos: Learning Temporal Dynamics of Reasoning Chains for Test-Time Scaling](https://md.research.elamur.ai/free/en/papers/zhang-2026-chronos-learning-temporal-dynamics-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Zhang, Jiayi Liao, Chengpeng Li, et al.*2026*
256. **[Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection Rules](https://md.research.elamur.ai/free/en/papers/ma-2026-conflict-aware-memory-embodied-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kexin Ma, Haotian Wang, Shenglin Chen, et al.*2026*
257. **[ConSensus: Multi-Agent Collaboration for Multimodal Sensing](https://md.research.elamur.ai/free/en/papers/yoon-2026-consensus-multi-agent-collaboration-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hyungjun Yoon, Mohammad Malekzadeh, Sung-Ju Lee, et al.*2026*
258. **[Context-Aware Language Understanding in Human-Robot Dialogue with LLMs](https://md.research.elamur.ai/free/en/papers/stoyanchev-2026-context-aware-language-understanding-human/) [International Workshop on Spoken Dialogue System Technology](https://md.research.elamur.ai/free/en/venues/iwsds/)**Svetlana Stoyanchev, Youmna Farag, Simon Keizer, et al.*2026*
259. **[Context-Value-Action Architecture for Value-Driven Large Language Model Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-context-value-action-architecture-value/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**TianZe Zhang, Sirui Sun, Yuhang Xie, et al.*2026*
260. **[FAER: Benchmarking VLMs for Failure-Aware Embodied Reasoning](https://md.research.elamur.ai/free/en/papers/song-2026-faer-benchmarking-vlms-failure-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Song, Kaifeng Liu, Yuanxing Liu, et al.*2026*
261. **[FalconCopilot: Empowering LLMs Towards Integrated Human-Machine Systems for Aviation Autonomy](https://md.research.elamur.ai/free/en/papers/yan-2026-falconcopilot-empowering-llms-integrated-human/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingyuan Yan, Qingchen Liu, Qichao Ma, et al.*2026*
262. **[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*
263. **[I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image Editing](https://md.research.elamur.ai/free/en/papers/yu-2026-i2e-image-pixels-actionable-interactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinghan Yu, Junhao Xiao, Chenyu Zhu, et al.*2026*
264. **[LARA: LLM-based Agile Power Distribution Network Restoration from Disastrous Events](https://md.research.elamur.ai/free/en/papers/warrier-2026-lara-llm-based-agile-power/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jishnu Warrier, Heqing Huang, Yuzhang Lin, et al.*2026*
265. **[Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection](https://md.research.elamur.ai/free/en/papers/shao-2026-leave-my-images-alone-preventing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zedian Shao, Hongbin Liu, Yuepeng Hu, et al.*2026*
266. **[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*
267. **[MADRA: Multi-Agent Debate for Risk-Aware Embodied Planning](https://md.research.elamur.ai/free/en/papers/wang-2026-madra-multi-agent-debate-risk/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**JunJian Wang, Lidan Zhao, Xi Sheryl Zhang*2026*
268. **[MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action Agents](https://md.research.elamur.ai/free/en/papers/sun-2026-mirth-mutual-information-reasoning-temporal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Sun, Yu Song, Teng Shiyu, et al.*2026*
269. **[Model-Based Imaginative Planning for Embodied Agents](https://md.research.elamur.ai/free/en/papers/song-2026-model-based-imaginative-planning-embodied/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junru Song, Hengzhe Jin, Yucong Huang, et al.*2026*
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