All entries

From Ambiguity to Accuracy: The Transformative Effect of Coreference Resolution on Retrieval-Augmented Generation systems

arXiv:2507.07847v3 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) has emerged as a crucial framework in natural language processing (NLP), improving factual consistency and redu

researcharxiv-cs-cl

Research

From Chatbots to Confidants: A Cross-Cultural Study of LLM Adoption for Emotional Support

DGX agent

arXiv:2604.25525v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used not only for instrumental tasks, but as always-available and non-judgmental confidants for emotional

researcharxiv-cs-cl

29 Apr 2026

From Cursed to Competitive: Closing the ZO-FO Gap via Input-to-State Stability

arXiv:2604.25372v1 Announce Type: cross Abstract: While it is generally understood that zeroth-order (ZO) algorithms have an extra dependency on their number of iterations for any choice of parameters

researcharxiv-cs-lg

From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models

model-releasesarxiv-cs-cl

arXiv:2510.18030v2 Announce Type: replace Abstract: Structured pruning is a practical approach to deploying large language models (LLMs) efficiently, as it yields compact, hardware-friendly architectu

From six months to four days: Inside how AI slashed wait times for essential autism care

Organizations are shifting away from broad digital transformation efforts and instead targeting high-impact bottlenecks where AI and automation can deliver immediate results. These targeted changes ar

industrysiliconangle

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling

arXiv:2604.25847v1 Announce Type: cross Abstract: Optimization modeling underpins real-world decision-making in logistics, manufacturing, energy, and public services, but reliably solving such problem

agentsarxiv-cs-lg

From Syntax to Emotion: A Mechanistic Analysis of Emotion Inference in LLMs

arXiv:2604.25866v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in emotionally sensitive human-AI applications, yet little is known about how emotion recognition is

researcharxiv-cs-cl

Local Ai

From World-Gen to Quest-Line: A Dependency-Driven Prompt Pipeline for Coherent RPG Generation

arXiv:2604.25482v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown strong potential for narrative generation, but their use in complex, multi-layered role-playing game (RPG) world

local-aiarxiv-cs-cl

Frontier Coding Agents Can Now Implement an AlphaZero Self-Play Machine Learning Pipeline For Connect Four That Performs Comparably to an External Solver

arXiv:2604.25067v1 Announce Type: cross Abstract: Forecasting when AI systems will become capable of meaningfully accelerating AI research is a central challenge for AI safety. Existing benchmarks mea

Full circle moment: paying for @Starlink with @XMoney 🤝

This post references a transaction where Starlink (Elon Musk's satellite internet company) was paid for using X Money, likely Musk's digital payment service integrated with X (formerly Twitter). The '

industryelon-musk--x

Full Workshop: @OpenAI Codex masterclass The agent is no longer just one chat window. In this workshop, @reach_vb and @kagigz get into how c…

Full Workshop: @OpenAI Codex masterclass The agent is no longer just one chat window. In this workshop, @reach_vb and @kagigz get into how coding systems start to change when you can delegate work acr

agentsswyx--x

G-Loss: Graph-Guided Fine-Tuning of Language Models

model-releasesarxiv-cs-cl

arXiv:2604.25853v1 Announce Type: new Abstract: Traditional loss functions, including cross-entropy, contrastive, triplet, and su pervised contrastive losses, used for fine-tuning pre-trained language

GAIA-v2-LILT: Multilingual Adaptation of Agent Benchmark beyond Translation

model-releasesarxiv-cs-cl

arXiv:2604.24929v1 Announce Type: new Abstract: Agent benchmarks remain largely English-centric, while their multilingual versions are often built with machine translation (MT) and limited post-editin

Safety

@GaryMarcus @TheParisSpleen Gary, that was a great article. Wonderful work as always sir. You have been proven accurate once again.

This is a complimentary response to an article by Gary Marcus, praising his accuracy and work quality. The tweet does not provide specific details about the article's content, only that it was well-re

safetygary-marcus--x

GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances

arXiv:2604.24766v1 Announce Type: new Abstract: With the rise of time-of-use and tiered electricity pricing, energy consumers are encouraged to adopt peak-shifting strategies by automatically controll

researcharxiv-cs-lg

Applications

GEGLU-Transformer for IMU-to-EMG Estimation with Few-Shot Adaptation

arXiv:2604.25670v1 Announce Type: new Abstract: Reliable estimation of neuromuscular activation is a key enabler for adaptive and personalized control in wearable robotics. However, surface electromyo

applicationsarxiv-cs-ro

Gemini now can create documents, and it is a nice start, but not up to the frontier yet, as you can see from my 'LBO of Hogwarts' test. Powe…

model-releasesethan-mollick--x

Gemini now can create documents, and it is a nice start, but not up to the frontier yet, as you can see from my 'LBO of Hogwarts' test. PowerPoints are substantially worse than NotebookLM, spreadsheet

General Motors is adding Gemini to four million cars

model-releasesthe-verge-ai

General Motors is planning to bring Google's Gemini AI assistant to around four million vehicles across the US. Model year 2022 and newer Cadillac, Chevrolet, Buick, and GMC vehicles with Google built

Generalizable Human Gaussian Splatting via Multi-view Semantic Consistency

model-releasesarxiv-cs-cv

arXiv:2604.25466v1 Announce Type: new Abstract: Recently, generalizable human Gaussian splatting from sparse-view inputs has been actively studied for the photorealistic human rendering. Most existing

Safety

Generative AI Carries Non-Democratic Biases and Stereotypes: Representation of Women, Black Individuals, Age Groups, and People with Disability in AI-Generated Images across Occupations

arXiv:2409.13869v2 Announce Type: replace-cross Abstract: In this study, I investigate how generative artificial intelligence (AI) systems reproduce and reinforce societal biases, with a specific focu

safetyarxiv-cs-cl

Tutorials

Generative diffusion models for spatiotemporal influenza forecasting

arXiv:2604.24913v1 Announce Type: new Abstract: Forecasting infectious disease incidence can provide important information to guide public health planning, yet is difficult because epidemic dynamics a

tutorialsarxiv-cs-lg

Genie Sim 3.0 : A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot

model-releasesarxiv-cs-ro

arXiv:2601.02078v2 Announce Type: replace Abstract: The development of robust and generalizable robot learning models is critically contingent upon the availability of large-scale, diverse training da

GeoSearch: Augmenting Worldwide Geolocalization with Web-Scale Reverse Image Search and Image Matching

arXiv:2604.25390v1 Announce Type: cross Abstract: Worldwide image geolocalization, which aims to predict the GPS coordinates of any image on Earth, remains challenging due to global visual diversity.

researcharxiv-cs-cv

GitHub rushed to fix a critical vulnerability in less than six hours

GitHub employees fixed a critical remote code execution vulnerability in less than six hours last month. Wiz Research used AI models to uncover a vulnerability in GitHub's internal git infrastructure

industrythe-verge-ai

Golden RPG: Confidence-Adaptive Region-Aware Noise for Compositional Text-to-Image Generation

model-releasesarxiv-cs-cv

arXiv:2604.25314v1 Announce Type: new Abstract: Compositional text-to-image (T2I) generation requires a model to honour multiple sub-prompts that describe distinct image regions. Recent work shows tha

Google celebrates 20 years of Translate with a new AI pronunciation practice tool for Android users in the US and India; Translate gets 1B+ queries per month (Macy Meyer/CNET)

Macy Meyer / CNET: Google celebrates 20 years of Translate with a new AI pronunciation practice tool for Android users in the US and India; Translate gets 1B+ queries per month — Google's new AI-power

industrytechmeme

Google has told employees in a memo that it 'proudly' works with the US military and will continue to do so, amid opposition from some staff over DOD contracts (Financial Times)

Financial Times: Google has told employees in a memo that it “proudly” works with the US military and will continue to do so, amid opposition from some staff over DOD contracts — The tech giant signed

industrytechmeme

Google Photos launches an AI try-on feature for clothes you already have

model-releasesthe-verge-ai

Google Photos is launching a new AI-powered feature you can use to virtually try on clothes you already have. Using the photos in your gallery, Google will create a virtual 'wardrobe,' allowing you to

Google says paid subscriptions reached 350M in Q1, up 25M QoQ, driven by YouTube and Google One, while Gemini Enterprise paid MAUs grew 40% QoQ (Sarah Perez/TechCrunch)

Sarah Perez / TechCrunch: Google says paid subscriptions reached 350M in Q1, up 25M QoQ, driven by YouTube and Google One, while Gemini Enterprise paid MAUs grew 40% QoQ — Google has added another 25

model-releasestechmeme

Google Search queries hit an ‘all time high’ last quarter

Google Search queries hit an 'all time high' in the first quarter of 2026, according to a statement from CEO Sundar Pichai published as part of Alphabet's earnings on Wednesday. 'Our AI investments an

industrythe-verge-ai

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment

model-releasesarxiv-cs-cv

arXiv:2604.25370v1 Announce Type: new Abstract: The release of GPT-image-2 by OpenAI marks a watershed moment in AI-generated imagery: the boundary between photographic reality and synthetic content h

Gradient-Direction Sensitivity Reveals Linear-Centroid Coupling Hidden by Optimizer Trajectories

arXiv:2604.25143v1 Announce Type: new Abstract: We show that replacing the rolling SVD of AdamW updates with a rolling SVD of loss gradients changes the diagnostic by 1-2 orders of magnitude. Performi

Applications

GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution

arXiv:2604.25457v1 Announce Type: new Abstract: Despite recent advances, single-image super-resolution (SR) remains challenging, especially in real-world scenarios with complex degradations. Diffusion

applicationsarxiv-cs-cv

Tools

Granite 4.1 LLMs: How They’re Built

IBM's Granite 4.1 is a series of large language models with improved capabilities over previous versions, likely trained on diverse datasets and optimized for various enterprise and general-purpose ta

toolshugging-face

GraphPL: Leveraging GNN for Efficient and Robust Modalities Imputation in Patchwork Learning

arXiv:2604.25352v1 Announce Type: new Abstract: Current research on distributed multi-modal learning typically assumes that clients can access complete information across all modalities, which may not

great deep dive into how we get deepagents to work well with different families of models

This post likely discusses best practices and techniques for optimizing DeepAgent performance across diverse model architectures and families, covering strategies for compatibility and effective integ

agentsharrison-chase--x

Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNs

arXiv:2412.08835v2 Announce Type: replace Abstract: Graph Neural Networks (GNNs) are almost universally built on a single primitive: the neighborhood. Regardless of architectural variations, message p

researcharxiv-cs-lg

GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning

arXiv:2604.25459v1 Announce Type: new Abstract: Embodied AI research is undergoing a shift toward vision-centric perceptual paradigms. While massively parallel simulators have catalyzed breakthroughs

researcharxiv-cs-ro

HANDFUL: Sequential Grasp-Conditioned Dexterous Manipulation with Resource Awareness

model-releasesarxiv-cs-ro

arXiv:2604.25126v1 Announce Type: new Abstract: Dexterous robot hands offer rich opportunities for multifunctional manipulation, where a robot must execute multiple skills in sequence while maintainin

Hermes Agent can now use pretext! Use it for precise DOM-free text layout in web design and creative browser pieces: text reflow around shap…

Hermes Agent can now use pretext! Use it for precise DOM-free text layout in web design and creative browser pieces: text reflow around shapes, text-as-geometry games, or kinetic typography. Pairs wel

agentsnous-research--x

Hermes Agent is the go-to for complex creative workflows

Hermes Agent is the go-to for complex creative workflows i just spent $10,000 on AI credits building out my project for @AIPSummit and i can't be thankful enough to @NousResearch's Hermes harness and

agentsnous-research--x

Applications

Heterogeneous Variational Inference for Markov Degradation Hazard Models: Discretized Mixture with Interpretable Clusters

arXiv:2604.24818v1 Announce Type: new Abstract: Bayesian finite mixture models can identify discrete risk clusters (low-risk vs. high-risk equipment), but face three critical bottlenecks: (1) insuffic

applicationsarxiv-cs-lg

Hidden States as Early Signals: Step-level Trace Evaluation and Pruning for Efficient Test-Time Scaling

arXiv:2601.09093v2 Announce Type: replace Abstract: Large Language Models (LLMs) can enhance reasoning capabilities through test-time scaling by generating multiple traces. However, the combination of

Hierarchical Reinforcement Learning for the Dynamic VNE with Alternatives Problem

arXiv:2512.05207v2 Announce Type: replace-cross Abstract: Virtual Network Embedding (VNE) is a key enabler of network slicing, yet most formulations assume that each Virtual Network Request (VNR) has

High-Precision Dichotomous Image Segmentation via Depth Integrity-Prior and Fine-Grained Patch Strategy

arXiv:2503.06100v5 Announce Type: replace Abstract: High-precision dichotomous image segmentation (DIS) is a task of extracting fine-grained objects from high-resolution images. Existing methods trade

researcharxiv-cs-cv

Highlights: 👉 1M context for long-horizon agentic workflows 👉 Stronger agentic coding across frontend, repo-level, and terminal-based task…

Highlights: 👉 1M context for long-horizon agentic workflows 👉 Stronger agentic coding across frontend, repo-level, and terminal-based tasks 👉 Multimodal reasoning across text, image, and video inputs

agentstogether-ai--x

Hightouch, which uses AI to help marketers create and manage campaigns, raised 150M led by Goldman Sachs and Bain at a 2.75B valuation, up from $1.2B in 2025 (Patrick Coffee/Wall Street Journal)

Patrick Coffee / Wall Street Journal: Hightouch, which uses AI to help marketers create and manage campaigns, raised 150M led by Goldman Sachs and Bain at a 2.75B valuation, up from 1.2B in 2025 — The

industrytechmeme

Tutorials

How Can Reinforcement Learning Achieve Expert-level Placement?

arXiv:2604.25191v1 Announce Type: cross Abstract: Chip placement is a critical step in physical design. While reinforcement learning (RL)-based methods have recently emerged, their training primarily

tutorialsarxiv-cs-lg