📰 AI News

arXiv:2601.06338v2 Announce Type: replace Abstract: Diffusion Transformers (DiTs) have greatly advanced text-to-image generation, but models still struggle to g

arXiv:2601.08950v2 Announce Type: replace Abstract: Despite their growing adoption in education, LLMs remain misaligned with the core principle of effective tut

arXiv:2601.21439v2 Announce Type: replace Abstract: While Large Language Models (LLMs) are widely documented to be sensitive to minor prompt perturbations and p

arXiv:2601.22776v2 Announce Type: replace Abstract: Multi-turn tool-integrated reasoning enables Large Language Models (LLMs) to solve complex tasks through ite

arXiv:2602.03151v2 Announce Type: replace Abstract: Vision Language Model (VLM) typically assume complete modality input during inference. However, their effect

arXiv:2602.07943v2 Announce Type: replace Abstract: In the presence of confounding between an endogenous variable and the outcome, instrumental variables (IVs)

arXiv:2602.11298v3 Announce Type: replace Abstract: We introduce Voxtral Realtime, a natively streaming automatic speech recognition model that matches offline

arXiv:2602.13218v2 Announce Type: replace Abstract: Reinforcement Learning from Verifiable Rewards (RLVR) is bottlenecked by data: existing synthesis pipelines

arXiv:2602.17547v2 Announce Type: replace Abstract: This paper introduces KLong, an open-source LLM agent trained to solve extremely long-horizon tasks. The pri

arXiv:2603.00495v2 Announce Type: replace Abstract: We introduce AI Runtime Infrastructure, a distinct execution-time layer that operates above the model and be

arXiv:2603.05912v2 Announce Type: replace Abstract: Search-augmented LLM agents can produce deep research reports (DRRs), but verifying claim-level factuality r

arXiv:2603.08388v4 Announce Type: replace Abstract: We propose a Hierarchical Error-Corrective Graph FrameworkforAutonomousAgentswithLLM-BasedActionGeneration(H

arXiv:2603.09127v2 Announce Type: replace Abstract: Large language models are increasingly deployed not as single assistants but as committees whose members del

arXiv:2603.14869v2 Announce Type: replace Abstract: Reliable photovoltaic (PV) power generation requires timely detection of module defects that may reduce ener

arXiv:2603.18104v2 Announce Type: replace Abstract: Prevailing AI training infrastructure assumes reverse-mode automatic differentiation over IEEE-754 arithmeti

arXiv:2603.18633v2 Announce Type: replace Abstract: The rapid evolution of artificial intelligence, from task-specific systems to foundation models exhibiting b

arXiv:2604.01438v2 Announce Type: replace Abstract: Personal AI agents like OpenClaw run with elevated privileges on users' local machines, where a single succe

arXiv:2604.01487v2 Announce Type: replace Abstract: With the rise of personalized, persistent LLM agent frameworks such as OpenClaw, human-centered agentic soci

arXiv:2604.01770v2 Announce Type: replace Abstract: Knowledge graphs store large numbers of relations efficiently, but they remain weak at representing a quiete

arXiv:2006.04363v2 Announce Type: replace-cross Abstract: Dyna-style reinforcement learning (RL) agents improve sample efficiency over model-free RL agents by u

arXiv:2406.14194v3 Announce Type: replace-cross Abstract: The emergence of Large Vision-Language Models (LVLMs) marks significant strides towards achieving gene

arXiv:2407.14565v2 Announce Type: replace-cross Abstract: App markets have evolved into highly competitive and dynamic environments for developers. While the tr

arXiv:2408.11871v3 Announce Type: replace-cross Abstract: Fake news significantly influences decision-making processes by misleading individuals, organizations,

arXiv:2410.14826v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have shown impressive capabilities in many scenarios, but their performan