All entries

arXiv:2604.20123v1 Announce Type: new Abstract: In natural images, object skeletons are used to represent geometric shapes. However, even slight variations in pose or movement can cause noticeable cha

tutorialsarxiv-cs-cv

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Safety

Toward Cooperative Driving in Mixed Traffic: An Adaptive Potential Game-Based Approach with Field Test Verification

DGX agent

arXiv:2604.20231v1 Announce Type: new Abstract: Connected autonomous vehicles (CAVs), which represent a significant advancement in autonomous driving technology, have the potential to greatly increase

safetyarxiv-cs-ro

23 Apr 2026

Toward Cross-Lingual Quality Classifiers for Multilingual Pretraining Data Selection

arXiv:2604.20549v1 Announce Type: cross Abstract: As Large Language Models (LLMs) scale, data curation has shifted from maximizing volume to optimizing the signal-to-noise ratio by performing quality

Toward Safe Autonomous Robotic Endovascular Interventions using World Models

model-releasesarxiv-cs-lg

arXiv:2604.20151v1 Announce Type: cross Abstract: Autonomous mechanical thrombectomy (MT) presents substantial challenges due to highly variable vascular geometries and the requirements for accurate,

Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks

arXiv:2604.20495v1 Announce Type: cross Abstract: Machine learning-based static malware detectors remain vulnerable to adversarial evasion techniques, such as metamorphic engine mutations. To address

Towards Certified Unlearning for Deep Neural Networks

arXiv:2408.00920v4 Announce Type: replace Abstract: In the field of machine unlearning, certified unlearning has been extensively studied in convex machine learning models due to its high efficiency a

applicationsarxiv-cs-lg

Towards Event-Aware Forecasting in DeFi: Insights from On-chain Automated Market Maker Protocols

model-releasesarxiv-cs-lg

arXiv:2604.20374v1 Announce Type: new Abstract: Automated Market Makers (AMMs), as a core infrastructure of decentralized finance (DeFi), uniquely drive on-chain asset pricing through a deterministic

Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy

arXiv:2602.10100v2 Announce Type: replace Abstract: Data privacy and eXplainable Artificial Intelligence (XAI) are two important aspects for modern Machine Learning systems. To enhance data privacy, r

Towards High-Quality Machine Translation for Kokborok: A Low-Resource Tibeto-Burman Language of Northeast India

model-releasesarxiv-cs-cl

arXiv:2604.19778v1 Announce Type: new Abstract: We present KokborokMT, a high-quality neural machine translation (NMT) system for Kokborok (ISO 639-3), a Tibeto-Burman language spoken primarily in Tri

Towards reconstructing experimental sparse-view X-ray CT data with diffusion models

arXiv:2602.12755v2 Announce Type: replace Abstract: Diffusion-based image generators are promising priors for ill-posed inverse problems like sparse-view X-ray Computed Tomography (CT). As most studie

applicationsarxiv-cs-cv

Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs

model-releasesarxiv-cs-ai

arXiv:2604.20211v1 Announce Type: cross Abstract: Logging code plays an important role in software systems by recording key events and behaviors, which are essential for debugging and monitoring. Howe

Tracing Relational Knowledge Recall in Large Language Models

arXiv:2604.19934v1 Announce Type: new Abstract: We study how large language models recall relational knowledge during text generation, with a focus on identifying latent representations suitable for r

researcharxiv-cs-cl

Local Ai

Training-free retrieval-augmented generation with reinforced reasoning for flood damage nowcasting

arXiv:2602.10312v2 Announce Type: replace Abstract: We propose R2RAG-Flood, a training-free retrieval-augmented generation framework for flood damage nowcasting with reinforced reasoning. The framewor

local-aiarxiv-cs-lg

Trajectory-Aware Reliability Modeling of Democratic Systems

arXiv:2604.20127v1 Announce Type: new Abstract: Failures in complex systems often emerge through gradual degradation and the propagation of stress across interacting components rather than through iso

Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents

model-releasesarxiv-cs-cl

arXiv:2601.20144v3 Announce Type: replace Abstract: Tool-calling agents are increasingly deployed in real-world customer-facing workflows. Yet most studies on tool-calling agents focus on idealized se

Tutorials

Transformers Can Learn Connectivity in Some Graphs but Not Others

arXiv:2509.22343v2 Announce Type: replace-cross Abstract: Reasoning capability is essential to ensure the factual correctness of the responses of transformer-based Large Language Models (LLMs), and ro

tutorialsarxiv-cs-ai

Transparent Screening for LLM Inference and Training Impacts

arXiv:2604.19757v1 Announce Type: cross Abstract: This paper presents a transparent screening framework for estimating inference and training impacts of current large language models under limited obs

Treatment, evidence, imitation, and chat

arXiv:2506.23040v4 Announce Type: replace-cross Abstract: Large language models are thought to have the potential to aid in medical decision making. This work investigates the degree to which this mig

TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs

arXiv:2604.20043v1 Announce Type: cross Abstract: Explainability for Large Language Model (LLM) agents is especially challenging in interactive, partially observable settings, where decisions depend o

agentsarxiv-cs-ai

Trump completely passed out, reawakened, then passed out again during today's pressor in the Oval Office. 😂🤣👇

I can't verify this claim as it appears to be from a social media post, and there's no reliable reporting I can confirm about such an incident. The URL format and post characteristics suggest this may

researchyann-lecun--x

Trump: “I took a lot of heat for saying drugs were going down 500%, 600%, 700%. But we also say sometimes 50%, 60%, it’s a different kind of…

Trump: “I took a lot of heat for saying drugs were going down 500%, 600%, 700%. But we also say sometimes 50%, 60%, it’s a different kind of calculation, and people understand it better.” The dumbest

researchyann-lecun--x

Trump threatens to 'put a big tariff on the UK' if it does not drop its digital services tax, which he views as unfairly targeting US tech companies (Connor Stringer/Telegraph)

Connor Stringer / Telegraph: Trump threatens to “put a big tariff on the UK” if it does not drop its digital services tax, which he views as unfairly targeting US tech companies — President tells The

industrytechmeme

Trust, Lies, and Long Memories: Emergent Social Dynamics and Reputation in Multi-Round Avalon with LLM Agents

arXiv:2604.20582v1 Announce Type: cross Abstract: We study emergent social dynamics in LLM agents playing The Resistance: Avalon, a hidden-role deception game. Unlike prior work on single-game perform

agentsarxiv-cs-ai

🔗Try it at: https://www.kimi.com/agent-swarm?chat_enter_method=change_model

Kimi (by Moonshot) announced an 'agent swarm' feature accessible at their web interface, allowing users to leverage multiple AI agents working together for enhanced task completion. This represents Ki

agentskimi-moonshot--x

Try out Fleet's presentation feature, and impress your colleagues with y̶o̶u̶r̶ Fleet's slide design skills today! http://langchain.com/lang…

Try out Fleet's presentation feature, and impress your colleagues with y̶o̶u̶r̶ Fleet's slide design skills today! http://langchain.com/langsmith/fleet One of my favorite features we’ve shipped in Fle

agentsharrison-chase--x

TSMC says it will hold off on using ASML's most advanced high-NA EUV machines, costing upwards of €350M apiece, for chip production through 2029 to save money (Bloomberg)

Bloomberg: TSMC says it will hold off on using ASML's most advanced high-NA EUV machines, costing upwards of €350M apiece, for chip production through 2029 to save money — Taiwan Semiconductor Manufac

applicationstechmeme

TSMC SVP Kevin Zhang says the company plans to open an advanced chip packaging plant in Arizona by 2029 and that construction has begun (Reuters)

Reuters: TSMC SVP Kevin Zhang says the company plans to open an advanced chip packaging plant in Arizona by 2029 and that construction has begun — Taiwan Semiconductor Manufacturing Co (2330.TW) plans

applicationstechmeme

TSMC unveils its process technology roadmap through 2029, aiming to launch a new node yearly for client applications and every two years for AI and HPC (Anton Shilov/Tom's Hardware)

Anton Shilov / Tom's Hardware: TSMC unveils its process technology roadmap through 2029, aiming to launch a new node yearly for client applications and every two years for AI and HPC — Still no High-N

applicationstechmeme

TTKV: Temporal-Tiered KV Cache for Long-Context LLM Inference

arXiv:2604.19769v1 Announce Type: cross Abstract: Key-value (KV) caching is critical for efficient inference in large language models (LLMs), yet its memory footprint scales linearly with context leng

Turkey's parliament passes a bill requiring social media and online game companies to restrict access for children under 15, following a school shooting (Andrew Wilks/Associated Press)

Andrew Wilks / Associated Press: Turkey's parliament passes a bill requiring social media and online game companies to restrict access for children under 15, following a school shooting — Turkish lawm

industrytechmeme

UCCL-Zip: Lossless Compression Supercharged GPU Communication

model-releasesarxiv-cs-ai

arXiv:2604.17172v2 Announce Type: replace-cross Abstract: The rapid growth of large language models (LLMs) has made GPU communication a critical bottleneck. While prior work reduces communication volu

uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN

arXiv:2604.20255v1 Announce Type: cross Abstract: Anomaly detection in tabular data is challenging due to high dimensionality, complex feature dependencies, and heterogeneous noise. Many existing meth

Ultrafast Sampling-based Kinodynamic Planning via Differential Flatness

arXiv:2603.16059v2 Announce Type: replace Abstract: Motion planning under dynamics constraints, i.e, kinodynamic planning, enables safe robot operation by generating dynamically feasible trajectories

researcharxiv-cs-ro

Understanding Overparametrization in Survival Models through Interpolation

arXiv:2512.12463v3 Announce Type: replace-cross Abstract: Classical statistical learning theory predicts a U-shaped relationship between test loss and model capacity, driven by the bias-variance trade

safetyarxiv-cs-lg

Understanding the Staged Dynamics of Transformers in Learning Latent Structure

model-releasesarxiv-cs-lg

arXiv:2511.19328v2 Announce Type: replace Abstract: Language modeling has shown us that transformers can discover latent structure from context, but the dynamics of how they acquire different componen

UniCon3R: Contact-aware 3D Human-Scene Reconstruction from Monocular Video

arXiv:2604.19923v1 Announce Type: new Abstract: We introduce UniCon3R (Unified Contact-aware 3D Reconstruction), a unified feed-forward framework for online human-scene 4D reconstruction from monocula

researcharxiv-cs-cv

UniCVR: From Alignment to Reranking for Unified Zero-Shot Composed Visual Retrieval

model-releasesarxiv-cs-cv

arXiv:2604.20318v1 Announce Type: new Abstract: Composed image retrieval, multi-turn composed image retrieval, and composed video retrieval all share a common paradigm: composing the reference visual

Unlocking the Forecasting Economy: A Suite of Datasets for the Full Lifecycle of Prediction Market: [Experiments & Analysis]

arXiv:2604.20421v1 Announce Type: new Abstract: Prediction markets are markets for trading claims on future events, such as presidential elections, and their prices provide continuously updated signal

Unplugging completely! No WiFi and zero notifications. A great way to get deep focus on a project. Here is a walkthrough showing how to run …

model-releaseslm-studio--x

Unplugging completely! No WiFi and zero notifications. A great way to get deep focus on a project. Here is a walkthrough showing how to run Gemma 4 (26B A4B) fully offline with LM Studio & OpenCode to

Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy

arXiv:2510.11041v2 Announce Type: replace Abstract: In future intelligent transportation systems, autonomous cooperative planning (ACP), becomes a promising technique to increase the effectiveness and

agentsarxiv-cs-ro

US accuses China of “industrial-scale” AI theft. China says it’s “slander.”

The White House accused foreign entities primarily based in China of conducting deliberate, industrial-scale campaigns to distill U.S. frontier AI systems using tens of thousands of proxy accounts . W

industryars-technica

US child safety group NCMEC received 1.5M reports of suspected CSAM with ties to AI in 2025, a significant surge compared to 67,000 in 2024 and 4,700 in 2023 (Bloomberg)

Bloomberg: US child safety group NCMEC received 1.5M reports of suspected CSAM with ties to AI in 2025, a significant surge compared to 67,000 in 2024 and 4,700 in 2023 — William Michael Haslach was a

safetytechmeme

Hardware

US Commerce Secretary Howard Lutnick says Nvidia has yet to sell H200 chips to Chinese companies and that the Chinese government has not approved such purchases (Alexandra Alper/Reuters)

Alexandra Alper / Reuters: US Commerce Secretary Howard Lutnick says Nvidia has yet to sell H200 chips to Chinese companies and that the Chinese government has not approved such purchases — Nvidia's (

hardwaretechmeme

US Space Command: Russia is now operationalizing co-orbital ASAT weapons

Russia's co-orbital anti-satellite system, known as the Nivelir system, can deploy so-called nesting doll sub-satellites for inspection or kinetic kills. The U.S. assesses that Russia has launched cou

industryars-technica

Using Learning Theories to Evolve Human-Centered XAI: Future Perspectives and Challenges

arXiv:2604.19788v1 Announce Type: new Abstract: As Artificial Intelligence (AI) systems continue to grow in size and complexity, so does the difficulty of the quest for AI transparency. In a world of

Utterance-Level Methods for Identifying Reliable ASR-Output for Child Speech

arXiv:2604.19801v1 Announce Type: cross Abstract: Automatic Speech Recognition (ASR) is increasingly used in applications involving child speech, such as language learning and literacy acquisition. Ho

UVIO: An UWB-Aided Visual-Inertial Odometry Framework with Bias-Compensated Anchors Initialization

arXiv:2308.00513v2 Announce Type: replace Abstract: This paper introduces UVIO, a multi-sensor framework that leverages Ultra Wide Band (UWB) technology and Visual-Inertial Odometry (VIO) to provide r

safetyarxiv-cs-ro

V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization

arXiv:2604.20755v1 Announce Type: new Abstract: We introduce V-tableR1, a process-supervised reinforcement learning framework that elicits rigorous, verifiable reasoning from multimodal large language

safetyarxiv-cs-ai