Autonomous agents, tool use, and agentic systems
Measured the actual token waste on a local Qwen 3.5 122B setup. The numbers are unreal. Found a compile-time approach that cuts query con...
The viral AI agentic tool let attackers silently gain admin unauthenticated access.
Ran an experiment — gave AI agents full control over writing, character creation, and performing a sitcom. Left it running nonstop for ov...
![[2602.20980] CrystaL: Spontaneous Emergence of Visual Latents in MLLMs](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents CrystaL, a novel framework for Multimodal Large Language Models (MLLMs) that enhances visual understanding by crystall...
This article discusses the concept of an Agentic Infused Software Ecosystem (AISE), emphasizing the need for a holistic approach to integ...
This paper presents a novel training-free method for improving automatic speech recognition (ASR) in noisy environments by using intellig...
This paper presents ArtiAgent, a novel approach to automate the creation of artifact-annotated datasets for training visual language mode...
This article explores the economic implications of Artificial General Intelligence (AGI), focusing on the transition from human cognition...
This article explores efficient reasoning in Large Language Models (LLMs), focusing on optimizing computational resources through reward ...
The paper presents E-MMKGR, a unified framework for multimodal knowledge graphs tailored for e-commerce, enhancing recommendation systems...
Airavat introduces an innovative framework for automating Internet measurement workflows, ensuring both generation and verification again...
This article presents Regret-Guided Search Control (RGSC), a novel approach to enhance the learning efficiency of AlphaZero by prioritizi...
This paper explores agentic skills in LLM agents, focusing on reusable procedural capabilities that enhance long-horizon workflows. It pr...
The paper presents RMIT-ADM+S, an award-winning system for the Text-to-Text track at the NeurIPS 2025 Competition, featuring a novel retr...
The paper presents SibylSense, a novel approach to adaptive rubric learning that enhances reward mechanisms in reinforcement learning thr...
The paper presents COMmunication inspired Tokenization (COMiT), a novel framework for structured image representations that enhances obje...
The paper presents AdapTools, a novel framework for adaptive indirect prompt injection attacks on agentic large language models (LLMs), h...
The paper presents Agile V, a framework integrating AI in engineering workflows to ensure compliance and verification at machine-speed de...
The paper introduces CAMEL, a confidence-gated reflection framework for reward modeling in AI, achieving state-of-the-art performance wit...
The paper presents TrajGPT-R, a framework for generating urban mobility trajectories using a reinforcement learning-enhanced generative t...
This article explores the factors influencing students' adoption of AI chatbots for learning, utilizing the Technology Acceptance Model t...
The paper presents ACTOR-CURATOR, a novel framework for curriculum learning in reinforcement learning, enhancing post-training for large ...
This article presents a generalized apprenticeship learning framework, THEMES, designed to enhance pedagogical strategies in e-learning b...
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