Reflection-reinforced self-training for language agents

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[PDF] arxiv.org

Llm-a*: Large language model enhanced incremental heuristic search on path planning

S Meng, Y Wang, CF Yang, N Peng… - ar** Language-Guided Navigation Learning with Self-Refining Data Flywheel
Z Wang, J Li, Y Hong, S Li, K Li, S Yu, Y Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
Creating high-quality data for training robust language-instructed agents is a long-lasting
challenge in embodied AI. In this paper, we introduce a Self-Refining Data Flywheel (SRDF) …
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[PDF] arxiv.org

Meta-Reflection: A Feedback-Free Reflection Learning Framework

Y Wang, Y Zhu, X Bao, W Zhang, S Dai, K Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
Despite the remarkable capabilities of large language models (LLMs) in natural language
understanding and reasoning, they often display undesirable behaviors, such as generating …
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[PDF] researchgate.net

[PDF][PDF] From Screens to Scenes: A Survey of Embodied AI in Healthcare

Y Liu, X Cao, T Chen, Y Jiang, J You… - arxiv preprint arxiv …, 2025 - researchgate.net
Healthcare systems worldwide face persistent challenges in efficiency, accessibility, and
personalization. Modern artificial intelligence (AI) has shown promise in addressing these …
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Ambiguity Resolution in Vision-and-Language Navigation with Large Language Models

S Wei, C Wang, J Qi - … on Information Technology, Big Data and …, 2024 - ieeexplore.ieee.org
Vision-and-Language Navigation (VLN) represents a novel approach that integrates visual
perception and language understanding, thereby enabling autonomous agents to navigate …
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[PDF] openreview.net

Q* Agent: Optimizing Language Agents with Q-Guided Exploration

Z Lin, Y Tang, D Yin, SX Yao, Z Hu, Y Sun, KW Chang - openreview.net
Language agents have become a promising solution to complex interactive tasks. One of the
key ingredients to the success of language agents is the reward model on the trajectory of …
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