Autonomous agents, tool use, and agentic systems
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...
Pluribus is a memory service for agents (MCP + HTTP, Postgres-backed) that stores structured memory: constraints, decisions, patterns, an...
![[2602.23172] Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
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...
The paper presents FrontierCO, a benchmark for evaluating machine learning solvers in combinatorial optimization, emphasizing real-world ...
This paper presents a theoretical framework for accelerating risk-averse policy evaluation in partially observable Markov decision proces...
This study examines the relationship between fluency and accuracy in L2 Mandarin prosody, revealing that while learners may achieve quant...
The paper presents RaPA, a novel approach to enhance transferable targeted attacks in machine learning by utilizing random parameter prun...
The paper introduces GAUDI, an unsupervised geometric deep learning framework that captures global graph features, enhancing analysis and...
This paper explores the use of a scattering transform for auditory attention decoding, comparing its effectiveness against traditional pr...
This paper presents a detailed analysis of offline policy learning in contextual bandits, focusing on $f$-divergence regularization and i...
This paper presents a novel framework that utilizes language models to guide symbolic regression in discovering interpretable physical la...
The paper presents SIGS, a neuro-symbolic AI framework designed to automate the discovery of analytical solutions for differential equati...
This paper presents a robust framework for Bangla Automatic Speech Recognition (ASR) and Speaker Diarization, addressing challenges in pr...
This article explores Parameter-Efficient Fine-Tuning for Continual Learning (PEFT-CL) using Neural Tangent Kernel (NTK) theory, addressi...
This paper introduces a framework connecting multi-chart autoencoders with vector bundles and characteristic classes, enhancing manifold ...
The paper presents a novel framework called Stitching Noisy Diffusion Thoughts, which enhances reasoning in large language models by comb...
This paper evaluates the effectiveness of small language models (SLMs) in leader-follower interactions, comparing zero-shot and one-shot ...
This article presents the ZO-Stackelberg method for optimizing network parameters in combinatorial congestion games, enhancing efficiency...
The article presents TCM-DiffRAG, a novel reasoning framework for Traditional Chinese Medicine (TCM) that enhances diagnosis through know...
This article explores the concept of modality collapse in multimodal large language models (LLMs), highlighting the limitations of decode...
This paper presents FatsMB, a novel framework for Multi-Behavior Sequential Recommendation (MBSR) that enhances user preference modeling ...
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