Autonomous agents, tool use, and agentic systems
Wondering if it worth submitting paper I’m working on to NeurIPS. I have formal mathematical proof for convergence of a novel agentic sys...
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.
![[2601.16449] Emotion-LLaMAv2 and MMEVerse: A New Framework and Benchmark for Multimodal Emotion Understanding](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper introduces Emotion-LLaMAv2 and MMEVerse, a new framework and benchmark aimed at enhancing multimodal emotion understanding thro...
The paper introduces PyraTok, a language-aligned pyramidal tokenizer designed to enhance video understanding and generation by improving ...
This paper explores the adaptation of Rectified Flow (RF) to low-dimensional target distributions, demonstrating improved sampling effici...
The APEX-Agents paper introduces a benchmark for evaluating AI agents' ability to perform complex tasks across various applications, show...
The paper introduces Fast-weight Product Key Memory (FwPKM), a novel memory layer designed to enhance sequence modeling in language model...
The RAIR benchmark introduces a comprehensive dataset for evaluating e-commerce relevance, addressing the limitations of existing benchma...
CricBench introduces a multilingual benchmark for evaluating Large Language Models (LLMs) in cricket analytics, highlighting performance ...
The paper presents Ev-Trust, an evolutionary stable trust mechanism designed for decentralized LLM-based multi-agent service economies, a...
This article presents a novel approach to uncovering neural mechanisms behind cognitive errors using recurrent neural networks (RNNs) tra...
The paper presents MapReduce LoRA, a novel framework for optimizing generative models by addressing multi-preference alignment issues. It...
This paper presents a novel framework, Rank-enhancing Token Fuser, to address multi-modal representation collapse in machine learning, en...
The paper presents TwinVLA, a modular framework for bimanual manipulation using two single-arm Vision-Language-Action models, enhancing d...
The paper introduces Debate2Create, a framework for robot co-design that utilizes multi-agent LLM debate to optimize robot morphology and...
This article presents a market-making framework for coordinating multi-agent large language models (LLMs), enhancing trustworthiness and ...
The paper introduces Mantis, a Vision-Language-Action model that enhances visual foresight through a novel framework, achieving superior ...
This article reviews the state-of-the-art in agentic AI systems within electrical power engineering, providing a taxonomy and practical a...
The paper presents PoCo, an automated framework for generating proof-of-concept exploits for smart contracts, enhancing security audits b...
The paper presents TIR-Judge, a reinforcement learning framework that enhances Large Language Model (LLM) judges by integrating tool-base...
The paper presents MoMaGen, a novel approach for generating diverse datasets for multi-step bimanual mobile manipulation by addressing re...
The paper presents PBPK-iPINNs, a method combining inverse physics-informed neural networks with physiologically based pharmacokinetic mo...
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