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Intelligent Elastic Feature Fading: Enabling Model Retrain-Free Feature Efficiency Rollouts at Scale

arXiv:2605.00324v1 Announce Type: cross Abstract: Large-scale ranking systems depend on thousands of features derived from user behavior across multiple time horizons. Typically requires model retrain

safetyarxiv-cs-lg

Human

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Model Releases

InterChart: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information

DGX agent

arXiv:2508.07630v2 Announce Type: replace Abstract: We introduce InterChart, a diagnostic benchmark that evaluates how well vision-language models (VLMs) reason across multiple related charts, a task

model-releasesarxiv-cs-cl

4 May 2026

Intrinsic Gradient Suppression for Label-Noise Prompt Tuning in Vision-Language Models

arXiv:2605.00591v1 Announce Type: new Abstract: Contrastive vision-language models like CLIP exhibit remarkable zero-shot generalization. However, prompt tuning remains highly sensitive to label noise

researcharxiv-cs-cv

Introducing agent quality optimization in AgentCore, now in preview

Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models evo

agentsaws-ml-blog

Introducing Dataset Q&A: Expanding natural language querying for structured datasets in Amazon Quick

In this post, you learn how to get started with Dataset Q&A, explore real-world use cases with hands-on examples, and discover advanced capabilities like auto-discovery across all your data assets and

tutorialsaws-ml-blog

Tools

Introducing deepsec: The security harness for finding vulnerabilities in your codebase

Deepsec is a security tool introduced by Vercel designed to identify and help remediate vulnerabilities within codebases. The tool functions as a security harness that automates vulnerability detectio

toolsvercel-blog

Introducing nanowhale 🐳! A tiny DeepSeek model fully pretrained by an agent. Inspired by @karpathy's nanochat, we gave ml-intern the task o…

model-releasesclem-delangue--x

Introducing nanowhale 🐳! A tiny DeepSeek model fully pretrained by an agent. Inspired by @karpathy's nanochat, we gave ml-intern the task of training a tiny MoE with all the architectural advancements

Introducing Pinecone Nexus. A knowledge engine for agents. The bottleneck for production agents isn't the model. It's the per-query work of …

Introducing Pinecone Nexus. A knowledge engine for agents. The bottleneck for production agents isn't the model. It's the per-query work of searching, stitching, parsing tables, normalizing labels. Ne

applicationspinecone--x

Introducing the agent performance loop: AgentCore Optimization now in preview

Introducing the agent quality loop: AgentCore Optimization now in preview

Introducing WARM-VR: Benchmark Dataset for Multimodal Wearable Affect Recognition in Virtual Reality

model-releasesarxiv-cs-lg

arXiv:2605.00184v1 Announce Type: new Abstract: With the growing integration of human-computer interaction into everyday life, advances in machine learning have enabled systems to better perceive and

Investment and tech firm Long Lake says it will buy corporate travel operator Amex GBT for $6.3B, citing AI's ability to modernize the business travel sector (Reuters)

Reuters: Investment and tech firm Long Lake says it will buy corporate travel operator Amex GBT for $6.3B, citing AI's ability to modernize the business travel sector — Investment and technology firm

applicationstechmeme

Is Textual Similarity Invariant under Machine Translation? Evidence Based on the Political Manifesto Corpus

arXiv:2605.00618v1 Announce Type: new Abstract: We investigate the extent to which cosine similarity between paragraph embeddings is invariant under machine translation, using the Manifesto Corpus of

researcharxiv-cs-cl

It is somewhat comforting that now, whenever I see a post about “here’s the thing that keeps me up at night” I know that there is absolutely…

applicationsethan-mollick--x

It is somewhat comforting that now, whenever I see a post about “here’s the thing that keeps me up at night” I know that there is absolutely no chance that this is being written by a human who is stay

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models

arXiv:2601.00090v2 Announce Type: replace Abstract: Contemporary text-to-image models exhibit a surprising degree of mode collapse, as can be seen when sampling several images given the same text prom

researcharxiv-cs-cv

Jailbreaking Vision-Language Models Through the Visual Modality

arXiv:2605.00583v1 Announce Type: new Abstract: The visual modality of vision-language models (VLMs) is an underexplored attack surface for bypassing safety alignment. We introduce four jailbreak atta

Jailbroken Frontier Models Retain Their Capabilities

model-releasesarxiv-cs-lg

arXiv:2605.00267v1 Announce Type: new Abstract: As language model safeguards become more robust, attackers are pushed toward developing increasingly complex jailbreaks. Prior work has found that this

Tools

@jennapederson @RoieSchwabco You can also watch over on: 📺 YouTube: https://www.youtube.com/@pinecone-io/live 💼 LinkedIn: https://www.link…

Pinecone shared information about where users can watch their live content, directing viewers to alternative platforms including their YouTube channel (@pinecone-io/live) and LinkedIn profile. This ap

toolspinecone--x

Jensen Huang said Nvidia's market share of AI accelerators in China has 'now dropped to zero' and that US export policy 'has already largely backfired' (Anton Shilov/Tom's Hardware)

Anton Shilov / Tom's Hardware: Jensen Huang said Nvidia's market share of AI accelerators in China has “now dropped to zero” and that US export policy “has already largely backfired” — US export restr

safetytechmeme

Industry

JUST IN: Fetterman Warns of ‘Communist Takeover’ in Democratic Party 'But the Maine race isn’t an outlier. Socialist and far-left mayors alr…

JUST IN: Fetterman Warns of ‘Communist Takeover’ in Democratic Party 'But the Maine race isn’t an outlier. Socialist and far-left mayors already run some of America’s biggest cities...' https://www.be

industryelon-musk--x

Industry

Katie Haun raises $1B for two funds split between early and later-stage investments, looking at startups blending financial services, AI, and alternative assets (Natasha Mascarenhas/Bloomberg)

Natasha Mascarenhas / Bloomberg: Katie Haun raises $1B for two funds split between early and later-stage investments, looking at startups blending financial services, AI, and alternative assets — Kati

industrytechmeme

Knowing When to Defer: Selective Prediction for Responsible Knowledge Tracing

model-releasesarxiv-cs-cl

arXiv:2509.21514v3 Announce Type: replace-cross Abstract: Research on Knowledge Tracing (KT) models traditionally focuses on improving predictive accuracy. However, responsible real-world deployment r

Knowing when to trust machine-learned interatomic potentials

arXiv:2605.00640v1 Announce Type: new Abstract: Prevailing machine-learned interatomic potential (MLIP) uncertainty-quantification methods rely on ensembles of independently trained backbones. These m

Koopman-Assisted Reinforcement Learning

arXiv:2403.02290v2 Announce Type: replace-cross Abstract: The Bellman equation and its continuous form, the Hamilton-Jacobi-Bellman equation, are ubiquitous in reinforcement learning and control theor

LambdaRankIC: Directly Optimizing Rank IC for Financial Prediction

arXiv:2605.00501v1 Announce Type: new Abstract: In financial predictions, the performance of machine learning models is often assessed by Rank IC, which is the Spearman rank correlation between the mo

applicationsarxiv-cs-lg

LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping

arXiv:2511.08156v2 Announce Type: replace Abstract: Land Use and Land Cover (LULC) mapping is a fundamental task in Earth Observation (EO). However, current LULC models are typically developed for a s

researcharxiv-cs-cv

@LangChain is doing cool stuff.

LangChain, a framework for developing applications with large language models, is advancing its capabilities and features according to insights from Harrison Chase, one of its key figures. This post l

agentsharrison-chase--x

LangGraph is battle tested against production weirdness. For example you can update an agent while it is running without breaking active thr…

LangGraph is battle tested against production weirdness. For example you can update an agent while it is running without breaking active threads Deep Agents inherits this resilience because it runs on

agentsharrison-chase--x

langgraph is the runtime that powers langchain and deepagents! we've been cooking on some new features: 1. node level error handlers 2. stat…

langgraph is the runtime that powers langchain and deepagents! we've been cooking on some new features: 1. node level error handlers 2. static + dynamic node timeouts 3. delta (diff based) channels fo

agentsharrison-chase--x

Language-free Experience at Expo 2025 Osaka

arXiv:2605.00373v1 Announce Type: new Abstract: In line with the Global Communication Plan 2025, we have pursued the development of multilingual translation technologies to realize a language-barrier-

applicationsarxiv-cs-cl

Language Models Struggle to Use Representations Learned In-Context

arXiv:2602.04212v2 Announce Type: replace Abstract: Though large language models (LLMs) have enabled great success across a wide variety of tasks, they still appear to fall short of one of the loftier

applicationsarxiv-cs-cl

LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation

arXiv:2605.00777v1 Announce Type: cross Abstract: A speaker encoder used in multilingual voice cloning should treat the same speaker identically regardless of which script the audio was uttered in. Of

researcharxiv-cs-cl

Last-Iterate Analyses of FTRL with the 1/2-Tsallis Entropy in Stochastic Bandits

arXiv:2510.22819v2 Announce Type: replace Abstract: The convergence analysis of online learning algorithms is central to machine learning theory, where the last-iterate convergence is particularly imp

Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs

arXiv:2408.11513v2 Announce Type: replace Abstract: This paper focuses on learning a Constrained Markov Decision Process (CMDP) via general parameterized policies. We propose a Primal-Dual based Regul

safetyarxiv-cs-lg

Latent Generative Modeling of Random Fields from Limited Training Data

arXiv:2505.13007v2 Announce Type: replace Abstract: The ability to accurately model random fields plays a critical role in science and engineering for problems involving uncertain, spatially-varying q

tutorialsarxiv-cs-lg

Hardware

Lattice Semiconductor agrees to acquire AMI for $1.65B in cash and stock; Georgia-based AMI provides firmware and infrastructure manageability for cloud and AI (Mike Rogoway/Oregonian)

Mike Rogoway / Oregonian: Lattice Semiconductor agrees to acquire AMI for 1.65B in cash and stock; Georgia-based AMI provides firmware and infrastructure manageability for cloud and AI — Hillsboro-bas

hardwaretechmeme

Learn more about what we shipped in April with our blog: https://links.comfy.org/4ta4wMT

ComfyUI announced new features and updates released in April through a blog post, detailing improvements and additions to their node-based UI system for Stable Diffusion. The post likely covers enhanc

tutorialscomfyui--x

Learn where to Click from Yourself: On-Policy Self-Distillation for GUI Grounding

arXiv:2605.00642v1 Announce Type: cross Abstract: Graphical User Interface (GUI) grounding maps natural language instructions to the visual coordinates of target elements and serves as a core capabili

safetyarxiv-cs-cv

Learning Coarse-to-Fine Osteoarthritis Representations under Noisy Hierarchical Labels

arXiv:2605.00718v1 Announce Type: new Abstract: Knee osteoarthritis (OA) assessment involves a natural but often underused label hierarchy: a coarse binary OA decision and a fine-grained Kellgren--Law

safetyarxiv-cs-cv

Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization

arXiv:2605.00130v1 Announce Type: new Abstract: Learning meaningful representations from medical time series (MedTS) such as ECG or EEG signals is a critical challenge. These signals are often high-di

tutorialsarxiv-cs-lg

Learning from Compressed CT: Feature Attention Style Transfer and Structured Factorized Projections for Resource-Efficient Medical Image Analysis

arXiv:2605.00448v1 Announce Type: new Abstract: The deployment of artificial intelligence in medical imaging is hindered by high computational complexity and resource-intensive processing of volumetri

Learning from Supervision with Semantic and Episodic Memory: A Reflective Approach to Agent Adaptation

model-releasesarxiv-cs-cl

arXiv:2510.19897v2 Announce Type: replace Abstract: We investigate how agents built on pretrained large language models (LLMs) can learn target classification functions from labeled examples without p

Learning from the Unseen: Generative Data Augmentation for Geometric-Semantic Accident Anticipation

arXiv:2605.00051v1 Announce Type: new Abstract: Anticipating traffic accidents is a critical yet unresolved problem for autonomous driving, hindered by the inherent complexity of modeling interactions

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory

arXiv:2605.00702v1 Announce Type: new Abstract: Large language model (LLM) agents require long-term user memory for consistent personalization, but limited context windows hinder tracking evolving pre

safetyarxiv-cs-cl

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels

arXiv:2412.00452v2 Announce Type: replace-cross Abstract: Conventioanl federated learning (FL) heavily depends on high-quality labels, which are often impractical in the real world, leading to the fed

Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision

arXiv:2605.00644v1 Announce Type: new Abstract: Energy-based models (EBMs) are a flexible class of deep generative models and are well-suited to capture complex dependencies in multimodal data. Howeve

Learning physically grounded traffic accident reconstruction from public accident reports

arXiv:2605.00050v1 Announce Type: cross Abstract: Traffic accidents are routinely documented in textual reports, yet physically grounded accident reconstruction remains difficult because detailed scen

safetyarxiv-cs-cv

Local Ai

Learning the Helmholtz equation operator with DeepONet for non-parametric 2D geometries

arXiv:2605.00760v1 Announce Type: new Abstract: This paper deals with solving the 2D Helmholtz equation on non-parametric domains, leveraging a physics-informed neural operator network based on the De

local-aiarxiv-cs-lg