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.
![[2509.01924] Non-Linear Model-Based Sequential Decision-Making in Agriculture](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This paper presents a novel approach to sequential decision-making in agriculture using nonlinear model-based algorithms, enhancing resou...
This paper explores SO(3) action representations in deep reinforcement learning, focusing on their implications for robotic control tasks...
This paper presents a hybrid framework for Multi-Agent Path Finding (MAPF) that minimizes inter-agent information sharing while maintaini...
The paper presents AgentDR, a novel framework that enhances recommendation systems by leveraging LLMs to understand implicit item relatio...
The paper presents RewardMap, a multi-stage reinforcement learning framework aimed at improving fine-grained visual reasoning in multimod...
The paper introduces the Bayesian Attention Mechanism (BAM), a novel framework for positional encoding in transformer models that enhance...
The paper introduces Consistency Mid-Training (CMT), a novel method for enhancing the efficiency of training flow map models, achieving s...
The paper presents SafeFlowMatcher, a new planning framework that integrates flow matching with control barrier functions to ensure safe ...
The paper presents ReMemR1, a novel approach for enhancing long-context reasoning in large language models by integrating revisitable mem...
The paper presents Hier-COS, a new framework for improving hierarchical classification in deep learning by addressing limitations in exis...
This article explores the integration of various representational similarity metrics in neural systems, assessing their effectiveness in ...
The paper introduces CORE, a metric for evaluating language quality in multi-agent LLM interactions under game-theoretic conditions, reve...
SQL-Exchange introduces a framework for transforming SQL queries across different database schemas while maintaining structural integrity...
This article presents a novel methodology called Stochastic Localization via Iterative Posterior Sampling (SLIPS) for sampling from unnor...
The paper introduces Generative Logic (GL), a new computer architecture designed for deterministic reasoning and knowledge generation, ut...
The paper introduces LRR-Bench, a benchmark for evaluating Vision-Language Models (VLMs) on spatial understanding tasks, revealing signif...
This article presents a study on budget allocation policies for real-time multi-agent path finding (RT-MAPF), focusing on improving effic...
This article presents a novel approach to symbolic regression through the introduction of SimpliPy, a simplification engine that signific...
This study evaluates the performance of generalist Vision Language Models (VLMs) compared to specialist medical VLMs, revealing that gene...
The paper presents EBPO, a novel framework that enhances Group Relative Policy Optimization (GRPO) by employing Empirical Bayes shrinkage...
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