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T-Mobile Business Promo Codes and Deals
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T-Mobile Business Promo Codes and Deals
Discover how to save on T-Mobile Business Internet and phone plans, from sign-up perks and switching rewards to bundled offers and free lines.
Litter-Robot Promo Codes and Deals: Up to $150 Off
Get the latest Litter-Robot Discounts on Litter-Robot self-cleaning litter boxes, accessories, and more.
Multilingual Medical Reasoning for Question Answering with Large Language Models
arXiv:2512.05658v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) with reasoning capabilities have recently demonstrated strong potential in medical Question Answering (QA). Existing approaches are largely English-focused and primarily rely on distillation from general-purpose LLMs, raising concerns about the reliability…
PhysMem: Scaling Test-time Physical Memory for Robot Manipulation
arXiv:2602.20323v4 Announce Type: replace-cross Abstract: Reliable object manipulation requires understanding physical properties that vary across objects and environments. Vision-language model (VLM) planners can reason about friction and stability in general terms; however, they often cannot predict how a specific ball…
Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving
arXiv:2501.08096v4 Announce Type: replace-cross Abstract: Reinforcement Learning (RL) has shown excellent performance in solving decision-making and control problems of autonomous driving, which is increasingly applied in diverse driving scenarios. However, driving is a multi-attribute problem, leading to challenges in achieving…
Efficient Tree-Structured Deep Research with Adaptive Resource Allocation
arXiv:2510.05145v2 Announce Type: replace-cross Abstract: Deep research agents, which synthesize information across diverse sources, are significantly constrained by the sequential nature of reasoning. This bottleneck results in high latency, poor runtime adaptability, and inefficient resource allocation, making today’s deep research…
Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering
arXiv:2603.28583v1 Announce Type: cross Abstract: Despite the success of Vision-Language Models (VLMs), misleading charts remain a significant challenge due to their deceptive visual structures and distorted data representations. We present ChartCynics, an agentic dual-path framework designed to unmask visual deception…
FlipVQA: Scaling Multi-modal Instruction Tuning via Textbook-to-Knowledge Synthesis
arXiv:2511.16216v2 Announce Type: replace Abstract: Textbooks are among the richest repositories of human-verified reasoning knowledge, yet their complex layouts contain multi-column typesetting, cross-page question answer separation, and interleaved figures, make automated extraction of structured QA and VQA pairs extremely challenging.…