All entries

SyncBreaker:Stage-Aware Multimodal Adversarial Attacks on Audio-Driven Talking Head Generation

arXiv:2604.08405v1 Announce Type: new Abstract: Diffusion-based audio-driven talking-head generation enables realistic portrait animation, but also introduces risks of misuse, such as fraud and misinf

researcharxiv-cs-cv

Content type

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Syntax Is Easy, Semantics Is Hard: Evaluating LLMs for LTL Translation

DGX agent

arXiv:2604.07321v1 Announce Type: cross Abstract: Propositional Linear Temporal Logic (LTL) is a popular formalism for specifying desirable requirements and security and privacy policies for software,

researcharxiv-cs-ai

10 Apr 2026

Synthetic Data for any Differentiable Target

arXiv:2604.08423v1 Announce Type: new Abstract: What are the limits of controlling language models via synthetic training data? We develop a reinforcement learning (RL) primitive, the Dataset Policy G

safetyarxiv-cs-cl

Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity

arXiv:2509.09794v4 Announce Type: replace Abstract: Computational models have emerged as powerful tools for multi-scale energy modeling research at the building and urban scale, supporting data-driven

T-Gated Adapter: A Lightweight Temporal Adapter for Vision-Language Medical Segmentation

model-releasesarxiv-cs-cv

arXiv:2604.08167v1 Announce Type: new Abstract: Medical image segmentation traditionally relies on fully supervised 3D architectures that demand a large amount of dense, voxel-level annotations from c

Tabular GANs for uneven distribution

model-releasesarxiv-cs-cv

arXiv:2010.00638v2 Announce Type: replace-cross Abstract: Generative models for tabular data have evolved rapidly beyond Generative Adversarial Networks (GANs). While GANs pioneered synthetic tabular

TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models

arXiv:2604.06291v1 Announce Type: cross Abstract: Low-Rank Adaptation (LoRA) enables parameter-efficient fine-tuning of Large Language Models (LLMs), and recent Mixture-of-Experts (MoE) extensions fur

Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation

arXiv:2604.07916v1 Announce Type: new Abstract: Referring Expression Segmentation (RES) aims to segment image regions described by natural-language expressions, serving as a bridge between vision and

researcharxiv-cs-cv

Applications

TeaLeafVision: An Explainable and Robust Deep Learning Framework for Tea Leaf Disease Classification

arXiv:2604.07182v1 Announce Type: cross Abstract: As the worlds second most consumed beverage after water, tea is not just a cultural staple but a global economic force of profound scale and influence

applicationsarxiv-cs-ai

Team Fusion@ SU@ BC8 SympTEMIST track: transformer-based approach for symptom recognition and linking

arXiv:2604.06424v1 Announce Type: cross Abstract: This paper presents a transformer-based approach to solving the SympTEMIST named entity recognition (NER) and entity linking (EL) tasks. For NER, we f

researcharxiv-cs-ai

Tools

Team-wide Zero Data Retention and prompt training controls now on AI Gateway

The AI Gateway now provides robust, centralized controls for data governance, enabling team-wide and request-level enforcement of Zero Data Retention (ZDR) and prompt training opt-outs. By integrat...

toolsvercel-blog

TeamLLM: A Human-Like Team-Oriented Collaboration Framework for Multi-Step Contextualized Tasks

arXiv:2604.06765v1 Announce Type: cross Abstract: Recently, multi-Large Language Model (LLM) frameworks have been proposed to solve contextualized tasks. However, these frameworks do not explicitly em

Tutorials

TEC: A Collection of Human Trial-and-error Trajectories for Problem Solving

arXiv:2604.06734v2 Announce Type: replace Abstract: Trial-and-error is a fundamental strategy for humans to solve complex problems and a necessary capability for Artificial Intelligence (AI) systems o

tutorialsarxiv-cs-cl

Telescope: Learnable Hyperbolic Foveation for Ultra-Long-Range Object Detection

arXiv:2604.06332v1 Announce Type: cross Abstract: Autonomous highway driving, especially for long-haul heavy trucks, requires detecting objects at long ranges beyond 500 meters to satisfy braking dist

agentsarxiv-cs-lg

TEMPER: Testing Emotional Perturbation in Quantitative Reasoning

model-releasesarxiv-cs-cl

arXiv:2604.07801v1 Announce Type: new Abstract: Large language models are trained and evaluated on quantitative reasoning tasks written in clean, emotionally neutral language. However, real-world quer

Temporal Inversion for Learning Interval Change in Chest X-Rays

arXiv:2604.04563v2 Announce Type: replace-cross Abstract: Recent advances in vision--language pretraining have enabled strong medical foundation models, yet most analyze radiographs in isolation, over

safetyarxiv-cs-ai

Temporally Phenotyping GLP-1RA Case Reports with Large Language Models: A Textual Time Series Corpus and Risk Modeling

arXiv:2604.06197v1 Announce Type: cross Abstract: Type 2 diabetes case reports describe complex clinical courses, but their timelines are often expressed in language that is difficult to reuse in long

Tensor-Augmented Convolutional Neural Networks: Enhancing Expressivity with Generic Tensor Kernels

model-releasesarxiv-cs-cv

arXiv:2604.08072v1 Announce Type: new Abstract: Convolutional Neural Networks (CNNs) excel at extracting local features hierarchically, but their performance in capturing complex correlations hinges h

Tensor-Efficient High-Dimensional Q-learning

model-releasesarxiv-cs-lg

arXiv:2511.03595v2 Announce Type: replace Abstract: High-dimensional reinforcement learning(RL) faces challenges with complex calculations and low sample efficiency in large state-action spaces. Q-lea

Tesla is down to the last few hundred Model S & X cars in inventory. Poignant end of an era.

Tesla is down to the last few hundred Model S & X cars in inventory. Poignant end of an era. Traded in my 2020 Model S for a brand new plaid X before they discontinue it. Car is amazing, but the FSD h

industryelon-musk--x

Tesla Semi

Tesla Semi Here, in all its glory, is the exclusive first look at the massive @Tesla Semi factory. Our @corememory crew went to Nevada to see the line come to life, as it gets ready to pump out thousa

industryelon-musk--x

Testimole-Conversational: A 30-Billion-Word Italian Discussion Board Corpus (1996-2024) for Language Modeling and Sociolinguistic Research

arXiv:2602.14819v2 Announce Type: replace Abstract: We present 'Testimole-conversational' a massive collection of discussion boards messages in the Italian language. The large size of the corpus, more

researcharxiv-cs-cl

Applications

exttt{SEM-CTRL}: Semantically Controlled Decoding

arXiv:2503.01804v4 Announce Type: replace Abstract: Ensuring both syntactic and semantic correctness in Large Language Model (LLM) outputs remains a significant challenge, despite being critical for r

applicationsarxiv-cs-cl

TGIF! Here are some of our favorite updates from the past week: — Notebooks in @GeminiApp, an integration with @NotebookLM that enables you …

model-releasesgoogle-ai--x

TGIF! Here are some of our favorite updates from the past week: — Notebooks in @GeminiApp, an integration with @NotebookLM that enables you to retrieve context from your private notebooks or convert y

Hardware

That’s a wrap on HumanX. Custom comics, hats, a happy hour with @getmetronome & @nvidia, and two sessions on what actually matters for AI-na…

Together Computer (Together AI) participated in HumanX 2026, a major AI conference held April 6–9 in San Francisco, where they hosted activations including custom comics, branded hats, and a happy ...

hardwaretogether-ai--x

The ‘agent harness’ is essentially the new runtime. It’s like a lightweight OS around an LLM—handling memory, tool calls, retries, and contr…

The ‘agent harness’ is essentially the new runtime. It’s like a lightweight OS around an LLM—handling memory, tool calls, retries, and control flow. @hwchase17 im excited about agent harnesses because

agentsharrison-chase--x

The AI Skills Shift: Mapping Skill Obsolescence, Emergence, and Transition Pathways in the LLM Era

arXiv:2604.06906v1 Announce Type: cross Abstract: As Large Language Models reshape the global labor market, policymakers and workers need empirical data on which occupational skills may be most suscep

Tools

The @aiDotEngineer after-after-after party @WolframRvnwlf @altryne @hellheff @liamcbride @raoufcode & @Prince_Canuma

A post from X (formerly Twitter) documenting an informal social gathering — the 'after-after-after party' — connected to an AI Engineer event or conference. The tweet references several individuals fr

toolsswyx--x

Tools

The @aiDotEngineer after-after party. @Prince_Canuma @adrgrondin @krismatterz (so far)

This post from X (formerly Twitter) documents an informal social gathering following the AI Engineer conference or event, featuring attendees including Prince Canuma, Adrian Grondin, and Kris Matterz.

toolsswyx--x

The Art of Building Verifiers for Computer Use Agents

arXiv:2604.06240v1 Announce Type: cross Abstract: Verifying the success of computer use agent (CUA) trajectories is a critical challenge: without reliable verification, neither evaluation nor training

agentsarxiv-cs-ai

The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training

arXiv:2604.07754v1 Announce Type: cross Abstract: The deployment of large language models (LLMs) raises significant ethical and safety concerns. While LLM alignment techniques are adopted to improve m

safetyarxiv-cs-cl

The ATOM Report: Measuring the Open Language Model Ecosystem

arXiv:2604.07190v1 Announce Type: cross Abstract: We present a comprehensive adoption snapshot of the leading open language models and who is building them, focusing on the ~1.5K mainline open models

The challenge with agent harnesses is not only building them but distribution. If we want agent products to scale like saas, the interfaces …

The challenge with agent harnesses is not only building them but distribution. If we want agent products to scale like saas, the interfaces and ecosystem still need a fundamental breakthrough. im exci

agentsharrison-chase--x

The Defense Trilemma: Why Prompt Injection Defense Wrappers Fail?

arXiv:2604.06436v2 Announce Type: cross Abstract: We prove that no continuous, utility-preserving wrapper defense-a function D: Xo X that preprocesses inputs before the model sees them-can make al

safetyarxiv-cs-ai

The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning

arXiv:2604.06427v1 Announce Type: cross Abstract: The viability of chain-of-thought (CoT) monitoring hinges on models being unable to reason effectively in their latent representations. Yet little is

The Detection-Extraction Gap: Models Know the Answer Before They Can Say It

arXiv:2604.06613v2 Announce Type: cross Abstract: Modern reasoning models continue generating long after the answer is already determined. Across five model configurations, two families, and three ben

researcharxiv-cs-ai

The Download: an exclusive Jeff VanderMeer story and AI models too scary to release

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Constellations —Constellations is a short story by Jeff Vander

researchmit-tech-review

The End of the Foundation Model Era: Open-Weight Models, Sovereign AI, and Inference as Infrastructure

arXiv:2604.06217v1 Announce Type: cross Abstract: The foundation model era -- roughly 2020 to 2025 -- is over. The forces that defined it have inverted. Open source models have reached frontier perfor

safetyarxiv-cs-ai

The Geometry of Forgetting

arXiv:2604.06222v1 Announce Type: cross Abstract: Why do we forget? Why do we remember things that never happened? The conventional answer points to biological hardware. We propose a different one: ge

The Human Condition as Reflected in Contemporary Large Language Models

arXiv:2604.06206v1 Announce Type: cross Abstract: This study seeks to uncover evidence of a latent structure in evolved human culture as it is refracted through contemporary large language models (LLM

researcharxiv-cs-ai

The Illusion of Stochasticity in LLMs

arXiv:2604.06543v1 Announce Type: cross Abstract: In this work, we demonstrate that reliable stochastic sampling is a fundamental yet unfulfilled requirement for Large Language Models (LLMs) operating

agentsarxiv-cs-lg

The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models

arXiv:2604.06374v1 Announce Type: cross Abstract: Latent reasoning via continuous chain-of-thoughts (Latent CoT) has emerged as a promising alternative to discrete CoT reasoning. Operating in continuo

researcharxiv-cs-lg

The Impact of Steering Large Language Models with Persona Vectors in Educational Applications

arXiv:2604.07102v1 Announce Type: cross Abstract: Activation-based steering can personalize large language models at inference time, but its effects in educational settings remain unclear. We study pe

Hardware

The Information wrote that Meta consumes 60.2T tokens per month, or ~750M per employee. Meta is getting absolutely token-mogged by us curren…

The Information wrote that Meta consumes 60.2T tokens per month, or ~750M per employee. Meta is getting absolutely token-mogged by us currently. SemiAnalysis employees consume 1.86B tokens per month.

hardwaredylan-patel--x

The Iranian Lego AI video creators credit their virality to ‘heart’

Donald Trump has spun the recent rescue of a downed airman whose fighter jet was destroyed behind Iranian borders as a resounding success. But the story is very different in one of the many viral, AI-

industrythe-verge-ai

The keynote lineup for AI Engineer this morning is so good🔥 Running late so watching the livestream this morning! @dsp_ on the stage right …

The keynote lineup for AI Engineer this morning is so good🔥 Running late so watching the livestream this morning! @dsp_ on the stage right now! He is saying the number 1 thing we need to focus on for

agentsswyx--x

Tutorials

The leadership lunch session at @aiDotEngineer was great! Loved meeting fellow Tech leaders and learn from each other. Thanks for organizing…

The referenced tweet (https://x.com/kaxil/status/2042550427019882954) is not accessible through search results, and the status ID appears to be from a future date beyond available indexed content. ...

tutorialsswyx--x

the masculine urge to grab your laptop, a starlink receiver, clear your schedule and go to a cabin in the woods for a few weeks to strictly …

The specific tweet at the provided URL (https://x.com/beffjezos/status/2042461711630815298) could not be retrieved — the page requires JavaScript to load, and the status ID does not appear in any i...

industryelon-musk--x