Autonomous agents, tool use, and agentic systems
Pluribus is a memory service for agents (MCP + HTTP, Postgres-backed) that stores structured memory: constraints, decisions, patterns, an...
https://github.com/h5i-dev/awesome-ai-agent-incidents submitted by /u/Living_Impression_37 [link] [comments]
hey everyone. been lurking here for a while and wanted to share something we been building. the problem: ai coding agents are only as goo...
![[2602.12125] Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents Generalized On-Policy Distillation (G-OPD), an advancement in machine learning that enhances student model performance...
The paper presents LiveMCPBench, a benchmark designed to evaluate the capabilities of agents using Model Context Protocol (MCP) tools in ...
This paper explores the representation of knowledge through analogies using category theory, highlighting how features of domains can fac...
This paper explores phase transitions in neural networks, specifically focusing on feature learning dynamics in two-layer networks and es...
This paper presents a novel approach to multi-drone volleyball using a hierarchical reinforcement learning framework, achieving high perf...
The paper introduces EPIAGENT, an innovative agentic framework for epidemiological modeling that automates the synthesis, calibration, an...
The paper introduces Compositional-ARC, a dataset for evaluating systematic generalization in abstract spatial reasoning, demonstrating t...
This paper presents a framework for optimizing cross-modal fine-tuning by addressing the interaction between feature alignment and target...
LLM4AD introduces a unified Python platform for algorithm design using large language models, featuring modular components for various ta...
The paper introduces SeeThrough3D, a model for occlusion-aware 3D control in text-to-image generation, enhancing the realism of synthesiz...
This paper presents the Asta Interaction Dataset, analyzing over 200,000 user queries from AI-powered research tools to understand user e...
The paper explores a novel approach to learning answer generation from correct demonstrations, formalizing it as imitation learning withi...
This article explores the application of Large Language Models (LLMs) in industrial process automation, focusing on their potential to en...
This article presents a novel approach to improving masked diffusion models (MDMs) for language modeling by introducing a learned schedul...
This article explores the statistical advantages of softmax attention mechanisms in large language models, particularly in single-locatio...
The paper presents SPARTA, a novel framework for generating scalable benchmarks for tree-structured multi-hop question answering (QA) ove...
The paper presents GUIPruner, a framework for enhancing the efficiency of high-resolution GUI agents by addressing spatiotemporal redunda...
The paper presents a novel framework, Motif-based Continuous Dynamics (MCD), to model animal behavior by identifying continuous motor mot...
The paper presents Latent Gaussian Splatting (LaGS) for 4D panoptic occupancy tracking, enhancing robot perception in dynamic environment...
This paper explores the Lipschitz continuity of set aggregation functions and neural networks designed for set data, providing insights i...
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