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LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion

arXiv:2604.12286v1 Announce Type: new Abstract: Live Photo captures both a high-quality key photo and a short video clip to preserve the precious dynamics around the captured moment. While users may c

safetyarxiv-cs-cv

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Research

LLM as Attention-Informed NTM and Topic Modeling as long-input Generation: Interpretability and long-Context Capability

DGX agent

arXiv:2510.03174v2 Announce Type: replace-cross Abstract: Topic modeling aims to produce interpretable topic representations and topic--document correspondences from corpora, but classical neural topi

researcharxiv-cs-ai

15 Apr 2026

LLM-Based Automated Diagnosis Of Integration Test Failures At Google

arXiv:2604.12108v1 Announce Type: cross Abstract: Integration testing is critical for the quality and reliability of complex software systems. However, diagnosing their failures presents significant c

applicationsarxiv-cs-ai

LLM-Enhanced Log Anomaly Detection: A Comprehensive Benchmark of Large Language Models for Automated System Diagnostics

model-releasesarxiv-cs-lg

arXiv:2604.12218v1 Announce Type: new Abstract: System log anomaly detection is critical for maintaining the reliability of large-scale software systems, yet traditional methods struggle with the hete

LLM-Guided Prompt Evolution for Password Guessing

model-releasesarxiv-cs-ai

arXiv:2604.12601v1 Announce Type: cross Abstract: Passwords still remain a dominant authentication method, yet their security is routinely subverted by predictable user choices and large-scale credent

Tutorials

LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines

arXiv:2604.12223v1 Announce Type: cross Abstract: Pretrained language models (PLMs) like BERT provide strong semantic representations but are costly and opaque, while symbolic models such as the Tsetl

tutorialsarxiv-cs-ai

Tutorials

LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning

arXiv:2509.16615v2 Announce Type: replace Abstract: Reinforcement learning (RL) is a promising approach for robotic manipulation, but it can suffer from low sample efficiency and requires extensive ex

tutorialsarxiv-cs-ro

LLM-HYPER: Generative CTR Modeling for Cold-Start Ad Personalization via LLM-Based Hypernetworks

arXiv:2604.12096v1 Announce Type: new Abstract: On online advertising platforms, newly introduced promotional ads face the cold-start problem, as they lack sufficient user feedback for model training.

applicationsarxiv-cs-ai

LLMs Struggle with Abstract Meaning Comprehension More Than Expected

arXiv:2604.12018v1 Announce Type: cross Abstract: Understanding abstract meanings is crucial for advanced language comprehension. Despite extensive research, abstract words remain challenging due to t

Hardware

@lmsysorg @sgl_project @vllm_project @CoreWeave @nebiusai @nscale @togethercompute @Togethercompute enables AI labs and enterprises to run f…

@lmsysorg @sgl_project @vllm_project @CoreWeave @nebiusai @nscale @togethercompute @Togethercompute enables AI labs and enterprises to run frontier models and agents on the NVIDIA Blackwell platform—g

hardwaretogether-ai--x

Load Balancing and Scaling LLM Serving

Load balancing and scaling LLM serving involves distributing inference requests across multiple model instances or GPUs to prevent bottlenecks and ensure consistent response times under varying traffi

industrydigitalocean

Local-Splitter: A Measurement Study of Seven Tactics for Reducing Cloud LLM Token Usage on Coding-Agent Workloads

arXiv:2604.12301v1 Announce Type: cross Abstract: We present a systematic measurement study of seven tactics for reducing cloud LLM token usage when a small local model can act as a triage layer in fr

local-aiarxiv-cs-ai

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models

arXiv:2601.14004v4 Announce Type: replace Abstract: Mechanistic Interpretability (MI) has emerged as a vital approach to demystify the opaque decision-making of Large Language Models (LLMs). However,

local-aiarxiv-cs-cl

LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software

arXiv:2604.12994v1 Announce Type: cross Abstract: Logical vulnerabilities in software stem from flaws in program logic rather than memory safety, which can lead to critical security failures. Although

safetyarxiv-cs-ai

Tools

Logs filtering for Vercel Workflows now available

Vercel has introduced logs filtering functionality for Vercel Workflows, allowing users to more efficiently search and narrow down log output within their workflow executions. This feature enables dev

toolsvercel-blog

London-based Gizmo, which uses AI to turn young students' notes into gamified study materials, raised a $22M Series A led by Shine Capital and reports 13M users (Natalie Breymeyer/Axios)

Natalie Breymeyer / Axios: London-based Gizmo, which uses AI to turn young students' notes into gamified study materials, raised a 22M Series A led by Shine Capital and reports 13M users — Gizmo, an A

industrytechmeme

Long-horizon AI research agents are mostly a state-management problem. It is not enough for an agent to reason well in the next turn. ML res…

Long-horizon AI research agents are mostly a state-management problem. It is not enough for an agent to reason well in the next turn. ML research requires task setup, implementation, experiments, debu

agentsdair-ai--x

Long-Horizon Plan Execution in Large Tool Spaces through Entropy-Guided Branching

model-releasesarxiv-cs-ai

arXiv:2604.12126v1 Announce Type: new Abstract: Large Language Models (LLMs) have significantly advanced tool-augmented agents, enabling autonomous reasoning via API interactions. However, executing m

Tools

Looking for a supplier (for physical goods or software)? Skip digging through Reddit & G2 reviews. Just use Replit's new AI Supplier Researc…

Replit has launched an AI Supplier Research tool designed to streamline the process of finding suppliers for physical goods or software. The tool aims to replace manual research methods like sifting t

toolsreplit--x

Looking for an AI driven autocomplete extension for VS Code

This Reddit thread on r/ollama discusses how to find and set up AI-powered autocomplete extensions for VS Code that work with locally running Ollama models. A popular solution involves a local AI codi

local-air-ollama

Loop Corrections to the Training and Generalization Errors of Random Feature Models

arXiv:2604.12827v1 Announce Type: cross Abstract: We investigate random feature models in which neural networks sampled from a prescribed initialization ensemble are frozen and used as random features

LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language Models

arXiv:2604.12056v1 Announce Type: new Abstract: Block-wise diffusion language models (DLMs) generate multiple tokens in any order, offering a promising alternative to the autoregressive decoding pipel

researcharxiv-cs-cl

Loss-Driven Bayesian Active Learning

arXiv:2604.11995v1 Announce Type: new Abstract: The central goal of active learning is to gather data that maximises downstream predictive performance, but popular approaches have limited flexibility

researcharxiv-cs-lg

LTX 2.3 Outpaint LoRA Test

local-air-stablediffusion

This Reddit post from r/StableDiffusion showcases community testing of an outpainting LoRA built on top of the LTX-2.3 video generation model. The LoRA is designed to extend the canvas of an input vid

Lyra 2.0 : Explorable Generative 3D Worlds

local-air-stablediffusion

Lyra 2.0 is an NVIDIA research project that extends the original Lyra framework for generative 3D world creation, using a self-distillation approach to distill the implicit 3D knowledge in video diffu

Lyra 2.0: Explorable Generative 3D Worlds

arXiv:2604.13036v1 Announce Type: new Abstract: Recent advances in video generation enable a new paradigm for 3D scene creation: generating camera-controlled videos that simulate scene walkthroughs, t

researcharxiv-cs-cv

M2HRI: An LLM-Driven Multimodal Multi-Agent Framework for Personalized Human-Robot Interaction

arXiv:2604.11975v1 Announce Type: new Abstract: Multi-robot systems hold significant promise for social environments such as homes and hospitals, yet existing multi-robot works treat robots as functio

agentsarxiv-cs-ro

M3D-Stereo: A Multiple-Medium and Multiple-Degradation Dataset for Stereo Image Restoration

model-releasesarxiv-cs-cv

arXiv:2604.12917v1 Announce Type: new Abstract: Image restoration under adverse conditions, such as underwater, haze or fog, and low-light environments, remains a highly challenging problem due to com

Machine Learning-Based Real-Time Detection of Compensatory Trunk Movements Using Trunk-Wrist Inertial Measurement Units

arXiv:2604.12591v1 Announce Type: new Abstract: Compensatory trunk movements (CTMs) are commonly observed after stroke and can lead to maladaptive movement patterns, limiting targeted training of affe

researcharxiv-cs-ro

Machine learning for four-dimensional SU(3) lattice gauge theories

arXiv:2604.12416v1 Announce Type: cross Abstract: In this review I summarize how machine learning can be used in lattice gauge theory simulations and what ap-proaches are currently available to improv

researcharxiv-cs-lg

Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain

arXiv:2510.05159v4 Announce Type: replace-cross Abstract: While finetuning AI agents on interaction data -- such as web browsing or tool use -- improves their capabilities, it also introduces critical

agentsarxiv-cs-ai

MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning

arXiv:2603.00137v2 Announce Type: replace-cross Abstract: Knowledge tracing (KT) models are commonly evaluated by training on early interactions from all students and testing on later responses. While

Man and machine: artificial intelligence and judicial decision making

arXiv:2603.19042v4 Announce Type: replace Abstract: The integration of artificial intelligence (AI) technologies into judicial decision-making, particularly in pretrial, sentencing, and parole context

safetyarxiv-cs-ai

Man Who Threw Molotov at Sam Altman’s House Warned AI Will Exterminate Humankind

Daniel Moreno-Gama, a 20-year-old Texas man, threw a Molotov cocktail at OpenAI CEO Sam Altman's San Francisco home, having written about AI's purported risk to humanity and traveling from Texas with

industryr-chatgpt

Mantis: A Foundation Model for Mechanistic Disease Forecasting

arXiv:2508.12260v5 Announce Type: replace Abstract: Infectious disease forecasting in novel outbreaks or low-resource settings is hampered by the need for large disease and covariate data sets, bespok

applicationsarxiv-cs-ai

Markets seem to love this stuff In 2018, Kodak said out of nowhere that it was a crypto company and its stock shot up In 1998, Zapata (an oi…

applicationsethan-mollick--x

Markets seem to love this stuff In 2018, Kodak said out of nowhere that it was a crypto company and its stock shot up In 1998, Zapata (an oil firm founded by the Bushes that became a fish meal company

Masked by Consensus: Disentangling Privileged Knowledge in LLM Correctness

arXiv:2604.12373v1 Announce Type: new Abstract: Humans use introspection to evaluate their understanding through private internal states inaccessible to external observers. We investigate whether larg

local-aiarxiv-cs-cl

MAST: Mask-Guided Attention Mass Allocation for Training-Free Multi-Style Transfer

arXiv:2604.12281v1 Announce Type: cross Abstract: Style transfer aims to render a content image with the visual characteristics of a reference style while preserving its underlying semantic layout and

Mathematics Teachers Interactions with a Multi-Agent System for Personalized Problem Generation

arXiv:2604.12066v1 Announce Type: new Abstract: Large language models can increasingly adapt educational tasks to learners characteristics. In the present study, we examine a multi-agent teacher-in-th

agentsarxiv-cs-ai

MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs

model-releasesarxiv-cs-cv

arXiv:2604.11868v1 Announce Type: new Abstract: While medical Vision-Language models (VLMs) achieve strong performance on tasks such as tumor or organ segmentation and diagnosis prediction, their opaq

MedGS: Gaussian Splatting for Multi-Modal 3D Medical Imaging

arXiv:2509.16806v4 Announce Type: replace Abstract: Endoluminal endoscopic procedures are essential for diagnosing colorectal cancer and other severe conditions in the digestive tract, urogenital syst

applicationsarxiv-cs-cv

Meet Dynamic Individual Preferences: Resolving Conflicting Human Value with Paired Fine-Tuning

arXiv:2604.12479v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have significantly improved the alignment of models with general human preferences. However, a major cha

safetyarxiv-cs-cl

Tools

Meet HoloTab by HCompany. Your AI browser companion.

HoloTab is an AI-powered browser companion developed by HCompany that integrates directly into web browsing to assist users with tasks, information retrieval, and productivity. It leverages AI models

toolshugging-face

Mema: Memory-Augmented Adapter for Enhanced Vision-Language Understanding

model-releasesarxiv-cs-cv

arXiv:2603.00655v2 Announce Type: replace Abstract: Multimodal Large Language Models (MLLMs) have achieved remarkable performance by aligning pretrained visual representations with the linguistic know

Memo: Snap CEO Evan Spiegel says the company plans to lay off ~1,000 full-time employees, or 16% of its global workforce, to cut costs and achieve profitability (Alexandra S. Levine/Bloomberg)

Alexandra S. Levine / Bloomberg: Memo: Snap CEO Evan Spiegel says the company plans to lay off ~1,000 full-time employees, or 16% of its global workforce, to cut costs and achieve profitability — Snap

industrytechmeme

Memory as Metabolism: A Design for Companion Knowledge Systems

model-releasesarxiv-cs-ai

arXiv:2604.12034v1 Announce Type: new Abstract: Retrieval-Augmented Generation remains the dominant pattern for giving LLMs persistent memory, but a visible cluster of personal wiki-style memory archi

Meta doubles down on partnership with Broadcom, committing to 1 gigawatt of custom AI processors

Meta Platforms Inc. has announced a new deal with Broadcom Inc., extending a partnership that already sees the two companies work together on the design of the social media giant’s in-house artificial

industrysiliconangle

Meta doubles down on partnership with Broadcom on custom AI processors

Meta Platforms Inc. today announced a new deal with Broadcom Inc., extending a partnership that already sees the two companies work together on the design of the social media giant’s in-house artifici

industrysiliconangle