:: Library Catalog

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Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ren, Tianchi, Hu, Haibo, Zuo, Jiacheng, Chen, Xinhong, Wang, Jianping, Xue, Chun Jason, Wu, Jen-Ming, Guan, Nan
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2503.01632
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems
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AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous Driving
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Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling
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ReVul-CoT: Towards Effective Software Vulnerability Assessment with Retrieval-Augmented Generation and Chain-of-Thought Prompting
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RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning
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DeeAD: Dynamic Early Exit of Vision-Language Action for Efficient Autonomous Driving
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CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
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GM-Skip: Metric-Guided Transformer Block Skipping for Efficient Vision-Language Models
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The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning
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C-CoT: Counterfactual Chain-of-Thought with Vision-Language Models for Safe Autonomous Driving
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AIM-CoT: Active Information-driven Multimodal Chain-of-Thought for Vision-Language Reasoning
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Syzygy of Thoughts: Improving LLM CoT with the Minimal Free Resolution
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Co-CoT: A Prompt-Based Framework for Collaborative Chain-of-Thought Reasoning
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ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis
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CoT-RVS: Zero-Shot Chain-of-Thought Reasoning Segmentation for Videos
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CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought
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CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision
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S3-CoT: Self-Sampled Succinct Reasoning Enables Efficient Chain-of-Thought LLMs
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CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning
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CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
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To CoT or To Loop? A Formal Comparison Between Chain-of-Thought and Looped Transformers
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MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning
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