Autonomous agents, tool use, and agentic systems
TL;DR: I built an open-source pipeline that runs Karpathy's autoresearch on SageMaker Spot instances — 25 autonomous ML experiments for $...
ProCap Financial, a leading financial services firm, has successfully acquired AI Agent Lab, a pioneering artificial intelligence company...
Agentic AI browsers introduce new enterprise risk. Learn how AI governance helps leaders assess exposure, oversight gaps, and safe adopti...
![[2602.22609] EvolveGen: Algorithmic Level Hardware Model Checking Benchmark Generation through Reinforcement Learning](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
EvolveGen introduces a novel framework for generating hardware model checking benchmarks using reinforcement learning, addressing the ben...
DrivePTS introduces a progressive learning framework for generating diverse driving scenes, enhancing fidelity and controllability in aut...
The paper presents Search-P1, a framework for enhancing Retrieval-Augmented Generation (RAG) training through path-centric reward shaping...
The paper introduces Agent4DL, a simulator for user search behavior in digital libraries, leveraging large language models to generate re...
This article presents a novel AI-driven ensemble forecasting system for tropical cyclones, optimizing computational efficiency while main...
The paper presents SignVLA, a novel gloss-free Vision-Language-Action framework for real-time robotic manipulation guided by sign languag...
This article explores the relationship between AI and humans through the lens of large language models (LLMs), focusing on the Sydney per...
This article presents a framework for uncertainty-aware policy steering in robotics, enabling adaptive robot behavior by addressing task ...
This article presents LEREDD, a novel approach utilizing Large Language Models to automate the detection of requirement dependencies in s...
This paper introduces Spatial Credit Redistribution (SCR) to address hallucinations in vision-language models by redistributing activatio...
The paper discusses the security risks posed by implicit prompt injection in large language model (LLM) agents, demonstrating how adversa...
This article presents a novel approach using a Dual-Conditioned Generative Adversarial Network (GAN) for reconstructing speech signals ca...
TopoEdit presents a novel approach for fast post-optimization editing of topology optimized structures, enhancing mechanical performance ...
The paper introduces SimpleOCR, a method to enhance Multimodal Large Language Models (MLLMs) by rendering visualized questions, addressin...
The paper presents Contextual Memory Virtualisation (CMV), a novel system for managing state in large language models (LLMs) using a Dire...
The paper presents EyeLayer, a novel module that integrates human attention patterns into LLM-based code summarization, enhancing model p...
This paper explores the integration of stochastic neural networks into quantum devices, presenting a novel approach to optimize these net...
The paper presents Self-Evolved Generative Bidding (SEGB), a novel framework for automated online advertising that enhances bidding strat...
This article presents a novel method for solving stiff dark matter equations using Jacobian Normalization within Physics-Informed Neural ...
The paper presents a method for reducing model disagreement in machine learning by using an anchoring technique, demonstrating its effect...
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