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This long-lasting meteor shower peaks in late October and is known for producing bright “fireball” shooting stars. Here’s what to know about Orionids and other major showers that will appear in 2025.

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In this tutorial, we walk through the implementation of an Agentic Retrieval-Augmented Generation (RAG) system. We design it so that the agent does more than just retrieve documents; it actively decides when retrieval is needed, selects the best retrieval strategy,…

arXiv:2509.22725v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly positioned as solutions for education, yet evaluations often reduce their impact to narrow performance metrics. This paper reframes the question by asking “what kind of impact should LLMs have…

arXiv:2505.16547v2 Announce Type: replace-cross Abstract: Autonomous harvesting in the open presents a complex manipulation problem. In most scenarios, an autonomous system has to deal with significant occlusion and require interaction in the presence of large structural uncertainties (every plant is…

arXiv:2507.16514v3 Announce Type: replace-cross Abstract: As foundation models grow rapidly in capability and deployment, evaluating their scientific understanding becomes increasingly critical. Existing science benchmarks have made progress towards broad Range, wide Reach, and high Rigor, yet they often face two…

arXiv:2509.24765v2 Announce Type: replace Abstract: Logical reasoning is a fundamental capability of large language models (LLMs). However, existing studies largely overlook the interplay between logical complexity and semantic complexity, resulting in methods that struggle to address challenging scenarios involving abstract…

arXiv:2502.12398v2 Announce Type: replace-cross Abstract: We propose a new approach that enables end users to directly solve the cold start problem by themselves. The cold start problem is a common issue in recommender systems, and many methods have been proposed…

arXiv:2509.26360v1 Announce Type: cross Abstract: Identifying key moments in long videos is essential for downstream understanding and reasoning tasks. In this paper, we introduce a new problem, Taskoriented Temporal Grounding ToTG, which aims to localize time intervals containing the necessary…

arXiv:2412.15701v4 Announce Type: replace Abstract: Recent advancements in language models (LMs) have sparked growing interest in developing LM agents. While fully autonomous agents could excel in many scenarios, numerous use cases inherently require them to collaborate with humans due to…