◬ AI & Machine Learning
Mar 19, 2026
**Introducing SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding**
Hugging Face
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arXiv:2603.16876v1 Announce Type: cross Abstract: We propose MARL-Rad, a novel multi-modal multi-agent reinforcement learning framework for radiology report generation that coordinates region-specific…
arXiv:2603.16875v1 Announce Type: cross Abstract: Within the expansive domain of virtual reality (VR), 360{\deg} VR videos immerse viewers in a spherical environment, allowing them to explore and inte…
arXiv:2603.16874v1 Announce Type: cross Abstract: As conversational AI systems become more realistic and widely deployed, users are increasingly uncertain about whether they are interacting with a hum…
arXiv:2508.05321v2 Announce Type: cross Abstract: This study presents an unsupervised deep learning approach for computed tomography (CT) image reconstruction, leveraging the inherent similarities bet…
arXiv:2603.18000v1 Announce Type: new Abstract: Building LLM-based agents has become increasingly important. Recent works on LLM-based agent self-evolution primarily record successful experiences as t…
arXiv:2603.17831v1 Announce Type: new Abstract: LLM agents often fail in closed-world embodied environments because actions must satisfy strict preconditions -- such as location, inventory, and contai…
arXiv:2603.17787v1 Announce Type: new Abstract: Enterprise AI deploys dozens of autonomous agent nodes across workflows, each acting on the same entities with no shared memory and no common governance…
arXiv:2603.17781v1 Announce Type: new Abstract: Large language models increasingly serve as persistent knowledge workers, with in-context memory - facts stored in the prompt - as the default strategy.…
arXiv:2603.17714v1 Announce Type: new Abstract: Autonomous driving technologies have achieved significant advances in recent years, yet their real-world deployment remains constrained by data scarcity…
arXiv:2603.17694v1 Announce Type: new Abstract: In the real economy, modern decision-making is fundamentally challenged by high-dimensional, multimodal environments, which are further complicated by a…
arXiv:2603.17683v1 Announce Type: new Abstract: Large language model (LLM) agents deployed in unknown environments must learn task structure at test time, but current approaches require thousands of i…
arXiv:2603.17639v1 Announce Type: new Abstract: Agentic AI has been a topic of great interest recently. A Large Language Model (LLM) agent involves one or more LLMs in the back-end. In the front end, …
arXiv:2603.17544v1 Announce Type: new Abstract: Learning per-domain generalizing policies is a key challenge in learning for planning. Standard approaches learn state-value functions represented as gr…
arXiv:2603.17534v1 Announce Type: new Abstract: Recently, in eXplainable AI (XAI), $\textit{even if}$ explanations -- so-called semi-factuals -- have emerged as a popular strategy that explains how a …
arXiv:2603.17445v1 Announce Type: new Abstract: When a multi-agent system produces an incorrect or harmful answer, who is accountable if execution logs and agent identifiers are unavailable? Multi-age…
arXiv:2603.17425v1 Announce Type: new Abstract: Most automated electronic medical record (EMR) pipelines remain output-oriented: they transcribe, extract, and summarize after the consultation, but the…
arXiv:2603.17420v1 Announce Type: new Abstract: The rapid evolution toward 6G and beyond communication systems is accelerating the convergence of digital twins and world models at the network edge. Tr…
arXiv:2603.17368v1 Announce Type: new Abstract: Large reasoning models (LRMs) achieved remarkable performance via chain-of-thought (CoT), but recent studies showed that such enhanced reasoning capabil…