Search: “models”

Beyond Relevance: Utility-Centric Retrieval in the LLM Era

arXiv:2604.08920v1 Announce Type: cross Abstract: Information retrieval systems have traditionally optimized for topical relevance-the degree to which retrieved documents match a query. However, relev

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Boosted Distributional Reinforcement Learning: Analysis and Healthcare Applications

DGX agent

arXiv:2604.04334v2 Announce Type: replace-cross Abstract: Researchers and practitioners are increasingly considering reinforcement learning to optimize decisions in complex domains like robotics and h

agentsarxiv-cs-ai

13 Apr 2026

CodeScout: Contextual Problem Statement Enhancement for Software Agents

arXiv:2603.05744v2 Announce Type: replace Abstract: Current AI-powered code assistance tools often struggle with poorly-defined problem statements that lack sufficient task context and requirements sp

agentsarxiv-cs-cl

Domain-generalizable Face Anti-Spoofing with Patch-based Multi-tasking and Artifact Pattern Conversion

arXiv:2604.09018v1 Announce Type: new Abstract: Face Anti-Spoofing (FAS) algorithms, designed to secure face recognition systems against spoofing, struggle with limited dataset diversity, impairing th

Dynamic Class-Aware Active Learning for Unbiased Satellite Image Segmentation

arXiv:2604.08965v1 Announce Type: new Abstract: Semantic segmentation of satellite imagery plays a vital role in land cover mapping and environmental monitoring. However, annotating large-scale, high-

safetyarxiv-cs-cv

Applications

eBandit: Kernel-Driven Reinforcement Learning for Adaptive Video Streaming

arXiv:2604.08791v1 Announce Type: cross Abstract: User-space Adaptive Bitrate (ABR) algorithms cannot see the transport layer signals that matter most, such as minimum RTT and instantaneous delivery r

applicationsarxiv-cs-ai

Efficient RL Training for LLMs with Experience Replay

arXiv:2604.08706v1 Announce Type: new Abstract: While Experience Replay - the practice of storing rollouts and reusing them multiple times during training - is a foundational technique in general RL,

safetyarxiv-cs-lg

EpiAgent: An Agent-Centric System for Ancient Inscription Restoration

arXiv:2604.09367v1 Announce Type: new Abstract: Ancient inscriptions, as repositories of cultural memory, have suffered from centuries of environmental and human-induced degradation. Restoring their i

agentsarxiv-cs-cv

Exploring Teachers' Perspectives on Using Conversational AI Agents for Group Collaboration

arXiv:2602.07142v2 Announce Type: replace-cross Abstract: Collaboration is a cornerstone of 21st-century learning, yet teachers continue to face challenges in supporting productive peer interaction. E

Extrapolating Volition with Recursive Information Markets

arXiv:2604.08606v1 Announce Type: cross Abstract: One of the impediments to the efficiency of information markets is the inherent information asymmetry present in them, exacerbated by the 'buyer's ins

FaceLiVTv2: An Improved Hybrid Architecture for Efficient Mobile Face Recognition

arXiv:2604.09127v1 Announce Type: new Abstract: Lightweight face recognition is increasingly important for deployment on edge and mobile devices, where strict constraints on latency, memory, and energ

local-aiarxiv-cs-cv

Few-Shot Contrastive Adaptation for Audio Abuse Detection in Low-Resource Indic Languages

arXiv:2604.09094v1 Announce Type: cross Abstract: Abusive speech detection is becoming increasingly important as social media shifts towards voice-based interaction, particularly in multilingual and l

researcharxiv-cs-cl

For the first time, 50% of employed US adults say they use AI at work a few times per year or more; leaders are more likely to see AI's impact as positive (Andy Kemp/Gallup)

Andy Kemp / Gallup: For the first time, 50% of employed US adults say they use AI at work a few times per year or more; leaders are more likely to see AI's impact as positive — Employees report produc

industrytechmeme

From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity

arXiv:2604.08617v1 Announce Type: cross Abstract: Exemplar replay has become an effective strategy for mitigating catastrophic forgetting in federated continual learning (FCL) by retaining representat

Gated-SwinRMT: Unifying Swin Windowed Attention with Retentive Manhattan Decay via Input-Dependent Gating

arXiv:2604.06014v2 Announce Type: replace Abstract: We introduce Gated-SwinRMT, a family of hybrid vision transformers that combine the shifted-window attention of the Swin Transformer with the Manhat

safetyarxiv-cs-lg

Geometry-Induced Long-Range Correlations in Recurrent Neural Network Quantum States

arXiv:2604.08661v1 Announce Type: cross Abstract: Neural Quantum States based on autoregressive recurrent neural network (RNN) wave functions enable efficient sampling without Markov-chain autocorrela

safetyarxiv-cs-lg

GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression

arXiv:2506.03074v5 Announce Type: replace-cross Abstract: We present `GL-LowPopArt`, a novel Catoni-style estimator for generalized low-rank trace regression. Building on `LowPopArt` (Jang et al., 202

local-aiarxiv-cs-lg

Globally Optimal Pose from Orthographic Silhouettes

arXiv:2604.09199v1 Announce Type: new Abstract: We solve the problem of determining the pose of known shapes in R^3 from their unoccluded silhouettes. The pose is determined up to global optimality us

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning

arXiv:2404.10976v4 Announce Type: replace-cross Abstract: Cooperative Multi-Agent Reinforcement Learning (MARL) necessitates seamless collaboration among agents, often represented by an underlying rel

agentsarxiv-cs-ai

hands on workshop: context engineering for multi agent systems [D]

This r/MachineLearning discussion thread centers on a hands-on workshop covering context engineering — the process of designing and optimizing the information an AI agent sends to and receives from a

agentsr-machinelearning

Harnessing Weak Pair Uncertainty for Text-based Person Search

arXiv:2604.08877v1 Announce Type: new Abstract: In this paper, we study the text-based person search, which is to retrieve the person of interest via natural language description. Prevailing methods u

Hermes Agent is a great Creative Director!

Nous Research shared a post on X highlighting the creative direction capabilities of their Hermes Agent, demonstrating its ability to function effectively as a Creative Director. The post likely showc

agentsnous-research--x

Hermes Agent v0.9.0 - “The Everywhere Release” Full changelog below ↓

Hermes Agent v0.9.0, dubbed 'The Everywhere Release,' is a versioned update to Nous Research's Hermes Agent framework, suggesting significant improvements to cross-platform or multi-environment deploy

agentsnous-research--x

How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison

arXiv:2510.26899v5 Announce Type: replace-cross Abstract: The launch of Grokipedia, an AI-generated encyclopedia developed by Elon Musk's xAI, was presented as a response to perceived ideological and

I am catching glimpses in my feed that there is a backlash against Mythos as 'marketing hype,' and it is a little confusing. I don't think a…

I am catching glimpses in my feed that there is a backlash against Mythos as 'marketing hype,' and it is a little confusing. I don't think anyone who has used the latest agentic coding tools, would th

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I built a local AI agent dashboard for Ollama — free and open source

A Reddit post on r/ollama in which a developer shares a self-built, free and open-source dashboard for managing and interacting with AI agents powered by Ollama, enabling fully local and private LLM-b

local-air-ollama

I built a local-first AI security scanner - 4 Agents, consensus scoring, free forever with Ollama

A community-built, privacy-focused security scanning tool shared on r/ollama that uses four specialized AI agents running locally via Ollama to analyze code or systems for vulnerabilities, aggregating

local-air-ollama

I like this view from the brilliant Terence Tao. I have always believed that AI could help to augment us. We built and train agents like tha…

I like this view from the brilliant Terence Tao. I have always believed that AI could help to augment us. We built and train agents like that today. But all forms of intelligence can and should be pos

agentsdair-ai--x

I scaled a pure Spiking Neural Network (SNN) to 1.088B parameters from scratch. Ran out of budget, but here is what I found [R]

researchr-machinelearning

A researcher on r/MachineLearning documented an independent attempt to scale a pure Spiking Neural Network (SNN) to 1.088 billion parameters, built from scratch, exploring whether SNNs can achieve per

I thought this was neat.

A Reddit post from the r/ChatGPT community titled 'I thought this was neat' likely showcases an interesting, surprising, or creative interaction a user had with ChatGPT, such as an unexpected response

industryr-chatgpt

Applications

IBM demonstrates extreme scale with a 100B vector database

IBM Research demonstrated the capability to store and search across a database of 100 billion vectors, showcasing extreme-scale vector storage for AI applications. This work addresses the growing need

applicationsibm-research

I'm doing [big brain thing] instead of [small brain thing] so I give you [big brain answer], not [small brain answer]

A Reddit post from the r/ChatGPT community discussing a frustrating behavior where ChatGPT reinterprets or overcomplicates a user's straightforward request — substituting its own 'smarter' reformulati

industryr-chatgpt

Imitation Learning for Combinatorial Optimisation under Uncertainty

arXiv:2601.05383v4 Announce Type: replace Abstract: Imitation learning (IL) provides a data-driven framework for approximating policies for large-scale combinatorial optimisation problems formulated a

researcharxiv-cs-lg

Is it possible to create image from existing OC?

local-air-stablediffusion

This r/StableDiffusion post addresses a common beginner question about whether Stable Diffusion can be used to generate new images based on an existing original character (OC), such as one from fan ar

Just merged into Hermes: You can now use `hermes debug share` and `/debug` to get pastebin uploaded links for your latest agent, debug, and …

Just merged into Hermes: You can now use `hermes debug share` and `/debug` to get pastebin uploaded links for your latest agent, debug, and gateway log to share with us on twitter or discord to help u

agentsnous-research--x

LoBE-GS: Load-Balanced and Efficient 3D Gaussian Splatting for Large-Scale Scene Reconstruction

arXiv:2510.01767v2 Announce Type: replace Abstract: 3D Gaussian Splatting (3DGS) has established itself as an efficient representation for real-time, high-fidelity 3D scene reconstruction. However, sc

LogLens with local AI “Ollama”

LogLens with local AI 'Ollama' is a Reddit post on r/ollama discussing the integration of LogLens — a log analysis tool — with Ollama to perform AI-powered log inspection entirely on local hardware, w

local-air-ollama

Memo: OpenAI Chief Revenue Officer Denise Dresser says OpenAI's Microsoft deal 'limited our ability' to reach clients using Bedrock and touts its Amazon deal (Ashley Capoot/CNBC)

Ashley Capoot / CNBC: Memo: OpenAI Chief Revenue Officer Denise Dresser says OpenAI's Microsoft deal “limited our ability” to reach clients using Bedrock and touts its Amazon deal — OpenAI's newly app

industrytechmeme

Applications

Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions

arXiv:2604.08569v1 Announce Type: new Abstract: Traffic simulation and digital-twin calibration is a challenging optimization problem with a limited simulation budget. Each trial requires an expensive

applicationsarxiv-cs-lg

Meta-Learned Basis Adaptation for Parametric Linear PDEs

arXiv:2604.09289v1 Announce Type: new Abstract: We propose a hybrid physics-informed framework for solving families of parametric linear partial differential equations (PDEs) by combining a meta-learn

researcharxiv-cs-lg

Tutorials

MV3DIS: Multi-View Mask Matching via 3D Guides for Zero-Shot 3D Instance Segmentation

arXiv:2604.08916v1 Announce Type: new Abstract: Conventional 3D instance segmentation methods rely on labor-intensive 3D annotations for supervised training, which limits their scalability and general

tutorialsarxiv-cs-cv

一つのニューラルネットに符号と記号は創発しうるか？「Neural Computers」論文から考える @rmaruy https://rmaruy.hatenablog.com/entry/2026/04/11/223828

This Japanese blog post explores whether signs and symbols can emerge within a single neural network, drawing on analysis of the 'Neural Computers' paper. The discussion likely examines the intersecti

researchdavid-ha--x

🔒 new in deepagents: filesystem permissions shared resources and org-wide policies are exactly the kind of files you want your agent to rea…

🔒 new in deepagents: filesystem permissions shared resources and org-wide policies are exactly the kind of files you want your agent to read but never overwrite. filesystem permissions let you enforce

agentsharrison-chase--x

NyayaMind- A Framework for Transparent Legal Reasoning and Judgment Prediction in the Indian Legal System

arXiv:2604.09069v1 Announce Type: cross Abstract: Court Judgment Prediction and Explanation (CJPE) aims to predict a judicial decision and provide a legally grounded explanation for a given case based

On the Terminology and Geometric Aspects of Redundant Parallel Manipulators

arXiv:2604.09156v1 Announce Type: new Abstract: Parallel kinematics machines (PKM) can exhibit kinematic as well as actuation redundancy. While the meaning of kinematic redundancy has been clarified a

researcharxiv-cs-ro

One Interface, Many Robots: Unified Real-Time Low-Level Motion Planning for Collaborative Arms

arXiv:2604.08787v1 Announce Type: new Abstract: This paper proposes a common interface for real-time low-level motion planning of collaborative robotic arms, aimed at enabling broader applicability an

researcharxiv-cs-ro

Oracle expands its partnership with fuel cell maker Bloom to procure up to 2.8 GW of capacity, after receiving a warrant to purchase $400M of Bloom stock (Jordan Novet/CNBC)

Jordan Novet / CNBC: Oracle expands its partnership with fuel cell maker Bloom to procure up to 2.8 GW of capacity, after receiving a warrant to purchase $400M of Bloom stock — Oracle is poised to mak

industrytechmeme

P3P Made Easy

arXiv:2508.01312v4 Announce Type: replace Abstract: We revisit the classical Perspective-Three-Point (P3P) problem, which aims to recover the absolute pose of a calibrated camera from three 2D-3D corr