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  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

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127,664Total entries
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29,816 results
Research

The Quantization Benefits of Residual-Free Transformers

DGX agent

arXiv:2605.25880v1 Announce Type: new Abstract: Large-scale transformer training and deployment are increasingly constrained by the transfer of activations, gradients, and optimizer states across acce

researcharxiv-cs-lg
26 May 2026
Human
DGX agent

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Research

The Telegraph: Macron tore up 65 years of doctrine to defend Europe with French nukes, with or without the US. Poland, Germany, the Netherla…

DGX agent

The Telegraph: Macron tore up 65 years of doctrine to defend Europe with French nukes, with or without the US. Poland, Germany, the Netherlands, Belgium, Greece, Sweden, Denmark, and now the Czech Rep

researchyann-lecun--x
26 May 2026
Research

The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams

DGX agent

arXiv:2605.25868v1 Announce Type: cross Abstract: The speed and accuracy of an artificial teammate fundamentally alter the failure states of Human-AI integration. While high-speed AI interventions ris

researcharxiv-cs-lg
26 May 2026
Research

The Tokenizer Tax Across 25 European Languages: Domain Invariance, Cross-Lingual Few-Shot Effects, and the Ukrainian Penalty

DGX agent

arXiv:2605.24718v1 Announce Type: new Abstract: Tokenizer fertility the number of tokens per word imposes a hidden cost on non-English NLP. We measure fertility for ten foundation models across 25 Eur

researcharxiv-cs-cl
26 May 2026
Research

Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate

DGX agent

arXiv:2605.25134v1 Announce Type: cross Abstract: Sparse optimization is a fundamental challenge in various practical applications. A popular approach to sparse optimization is ell_p regularization. H

researcharxiv-cs-ai
26 May 2026
Research

They Are Not the Same: Direct Causes Are Not Grounded Emotion Explanations

DGX agent

arXiv:2605.25208v1 Announce Type: new Abstract: Emotion-Cause Pair Extraction (ECPE) was introduced to explain why an emotion occurs, but this goal is now often reduced to binary pair/non-pair predict

researcharxiv-cs-cl
26 May 2026
Research

TIGER: Text-Informed Generalized Enzyme-Reaction Retrieval

DGX agent

arXiv:2605.24489v1 Announce Type: new Abstract: Enzyme-reaction retrieval is a fundamental problem in computational biology, underpinning enzyme characterization, reaction mechanism elucidation, and t

researcharxiv-cs-ai
26 May 2026
Research

.@tinkerapi by TML is a highly underrated product. It should be part of the “starter post training” infra for any newco

DGX agent

TinkerAPI, developed by TML, is a post-training infrastructure tool that Soumith Chintala recommends as an essential component for new AI companies during their startup phase. The tool appears to addr

researchsoumith-chintala--x
26 May 2026
Research

TinyFormer: Preserving Tiny Objects in YOLO-DETRHybridReal-time Detectors

DGX agent

arXiv:2605.25046v1 Announce Type: cross Abstract: YOLO-series and DETR-based detectors struggle with tiny-object detection. YOLO-style models benefit from efficient dense prediction, but their large-s

researcharxiv-cs-ai
26 May 2026
Research

Towards end-to-end LLM-based censoring-aware survival analysis

DGX agent

arXiv:2605.25399v1 Announce Type: new Abstract: Objective: Survival analysis is central to medical prediction, yet large language models (LLMs) are rarely used as end-to-end survival models because ce

researcharxiv-cs-ai
26 May 2026
Research

Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild

DGX agent

arXiv:2605.24213v1 Announce Type: cross Abstract: Evaluation harnesses are software systems that orchestrate model evaluation by managing model invocation, data loading, metric computation, and result

researcharxiv-cs-ai
26 May 2026
Research

Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs

DGX agent

arXiv:2602.01914v2 Announce Type: replace Abstract: Token attribution methods provide intuitive explanations for language model outputs by identifying causally important input tokens. However, as mode

researcharxiv-cs-lg
26 May 2026
Research

Toxicity in Twitch Chats: An LLM-Based Analysis Across Gaming Communities

DGX agent

arXiv:2605.24000v1 Announce Type: new Abstract: Toxicity in online gaming communities remains a persistent challenge, manifesting across genres, platforms, and player interactions. While much research

researcharxiv-cs-cl
26 May 2026
Research

TRAFA: Anticipating User Actions to Reduce Errors in Procedural Tasks with Predictive Feedback

DGX agent

arXiv:2605.24526v1 Announce Type: cross Abstract: Interactive assistance systems typically provide feedback after an action has been completed, supporting error recovery but not preventing the error i

researcharxiv-cs-ai
26 May 2026
Research

Train-Free Segmentation in MRI with Cubical Persistent Homology

DGX agent

arXiv:2401.01160v3 Announce Type: replace-cross Abstract: We investigate a framework for train-free MRI segmentation based on Topological Data Analysis. The pipeline proceeds in three steps, first ide

researcharxiv-cs-lg
26 May 2026
Research

Trained quantum neural networks are Gaussian processes

DGX agent

arXiv:2402.08726v2 Announce Type: replace-cross Abstract: We study quantum neural networks made by parametric one-qubit gates and fixed two-qubit gates in the limit of infinite width, where the genera

researcharxiv-cs-lg
26 May 2026
Research

Trajectory-Based Difficulty Scoring for Reliable Learning on Tabular Data

DGX agent

arXiv:2605.24680v1 Announce Type: new Abstract: Gradient-boosted trees achieve strong performance on tabular data, yet often leave a long tail of poorly predicted instances. We introduce a Trajectory-

researcharxiv-cs-lg
26 May 2026
Research

Transformer-based few-shot learning for modeling Electricity Consumption Profiles with minimal data across thousands of domains

DGX agent

arXiv:2408.08399v3 Announce Type: replace Abstract: Electricity Consumption Profiles (ECPs) are crucial for operating and planning power distribution systems, especially with the increasing number of

researcharxiv-cs-lg
26 May 2026
Research

Triplet-Block Diffusion RWKV

DGX agent

arXiv:2605.25969v1 Announce Type: new Abstract: Causal Transformer language models suffer from strictly sequential decoding and a quadratic per-step attention cost. While linear-time causal models and

researcharxiv-cs-cl
26 May 2026
Research

TSFLora: Token-Compressed Split Fine-Tuning for Wireless Edge Networks

DGX agent

arXiv:2605.23988v1 Announce Type: cross Abstract: Adapting large AI models (LAMs) to personalized edge data is challenging because wireless devices have limited memory, computation, and uplink capacit

researcharxiv-cs-lg
26 May 2026
Research

TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models

DGX agent

arXiv:2605.24292v1 Announce Type: new Abstract: Log-likelihood is a standard metric for evaluating generative models. Unfortunately, in contrast to autoregressive models (ARMs), discrete diffusion mod

researcharxiv-cs-lg
26 May 2026
Research

Turn-Based Structural Triggers: Prompt-Free Backdoors in Multi-Turn LLMs

DGX agent

arXiv:2601.14340v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are widely integrated into interactive systems such as dialogue agents and task-oriented assistants. This growing

researcharxiv-cs-lg
26 May 2026
Research

Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation

DGX agent

arXiv:2410.15173v4 Announce Type: replace-cross Abstract: The thematic fit estimation task measures semantic arguments' compatibility with a given semantic role for a given predicate. We investigate i

researcharxiv-cs-ai
26 May 2026
Research

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence

DGX agent

arXiv:2509.23573v4 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used to help security analysts manage the surge of cyber threats, automating tasks from vulnerab

researcharxiv-cs-ai
26 May 2026
Research

Understanding, Accelerating, and Improving MeanFlow Training

DGX agent

arXiv:2511.19065v2 Announce Type: replace-cross Abstract: MeanFlow promises high-quality generative modeling in few steps, by jointly learning instantaneous and average velocity fields. Yet, the under

researcharxiv-cs-ai
26 May 2026
Research

Understanding the Impact of Geometric Foundation Models on Vision-Language-Action Models

DGX agent

arXiv:2605.24642v1 Announce Type: cross Abstract: Recent work explores new opportunities at the intersection of vision-language-action models (VLAs) and geometric foundation models (GFMs) for 3D recon

researcharxiv-cs-ro
26 May 2026
Research

Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation

DGX agent

arXiv:2605.25903v1 Announce Type: new Abstract: Activation verbalization explains hidden representations in natural language, but existing methods are mostly limited to self-explanation, where each mo

researcharxiv-cs-cl
26 May 2026
Research

Variable Clustering via Distributionally Robust Nodewise Regression

DGX agent

arXiv:2212.07944v3 Announce Type: replace Abstract: We study a multi-factor block model for variable clustering and connect it to regularized subspace clustering through a distributionally robust vers

researcharxiv-cs-lg
26 May 2026
Research

Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks

DGX agent

arXiv:2605.24084v1 Announce Type: cross Abstract: Shapley additive explanations (SHAP) are widely recognised as computationally intractable for neural networks, since they induce an exponential search

researcharxiv-cs-ai
26 May 2026
Research

Volatility Surface Reconstruction using Deep Learning under No-Arbitrage Constraints

DGX agent

arXiv:2605.24031v1 Announce Type: cross Abstract: We study the reconstruction of implied volatility surfaces from sparse and noisy option quotes using deep learning models under no-arbitrage constrain

researcharxiv-cs-lg
26 May 2026
Research

Voting with the Graph: Stable RLAIF via Topological Consistency Maximization

DGX agent

arXiv:2510.15514v3 Announce Type: replace Abstract: Reinforcement Learning from AI Feedback (RLAIF) relies on LLM judges as preference measurement instruments, yet these instruments are fundamentally

researcharxiv-cs-ai
26 May 2026
Research

What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics

DGX agent

arXiv:2510.16435v2 Announce Type: replace-cross Abstract: With the growing use of large language models and conversational interfaces in human-robot interaction, robots' ability to answer user questio

researcharxiv-cs-cl
26 May 2026
Research

When Does Synthetic Patent Data Help? Volume-Fidelity Trade-offs in Low-Resource Multi-Label Classification

DGX agent

arXiv:2605.24296v1 Announce Type: new Abstract: We study when LLM-generated synthetic data helps low-resource multi-label patent classification, separating true synthetic value from the confound that

researcharxiv-cs-ai
26 May 2026
Research

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges

DGX agent

arXiv:2605.26046v1 Announce Type: cross Abstract: Customizing an LLM judge to a specific task or domain often involves optimizing its prompt across multiple evaluation criteria simultaneously. Textual

researcharxiv-cs-ai
26 May 2026
Research

When In-Distribution Gains Fail: Evaluating Weak-to-Strong Reward Models under Preference Shift

DGX agent

arXiv:2605.25629v1 Announce Type: new Abstract: Weak-to-strong (W2S) generalization is a promising framework for scalable oversight, yet existing evaluations often test students under matched train--t

researcharxiv-cs-cl
26 May 2026
Research

When Interpretability Becomes a Liability: Adversarial Attacks on CBM Concept Layers

DGX agent

arXiv:2605.25304v1 Announce Type: new Abstract: Concept Bottleneck Models (CBMs) have emerged as a cornerstone approach for interpretable machine learning, providing human-understandable intermediate

researcharxiv-cs-lg
26 May 2026
Research

Which Is Better For Reducing Outdated and Vulnerable Dependencies: Pinning or Floating?

DGX agent

arXiv:2510.08609v3 Announce Type: replace-cross Abstract: Developers consistently use version constraints to specify acceptable versions of the dependencies for their project. Pinning dependencies can

researcharxiv-cs-lg
26 May 2026
Research

WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains

DGX agent

arXiv:2605.24651v1 Announce Type: cross Abstract: We propose a Weak-form Physics-Informed Neural Operator (WINO), a data-free framework that combines the efficiency of neural operators with the geomet

researcharxiv-cs-lg
26 May 2026
Research

Word Class Representations Spontaneously Emerge from Successor Representations Trained on Natural Language

DGX agent

arXiv:2605.24585v1 Announce Type: new Abstract: Language models are typically trained to predict the next token in a sequence. Here, we explore an alternative predictive principle from reinforcement l

researcharxiv-cs-cl
26 May 2026
Research

WTKO-CNN: Deep Learning Reveals Sequence Motifs Distinguishing Wild-Type and Knockout ATAC-seq Peaks

DGX agent

arXiv:2605.24034v1 Announce Type: cross Abstract: Chromatin regulators can alter transcriptional programs by modifying the accessibility of regulatory DNA elements. Understanding how regulatory sequen

researcharxiv-cs-ai
26 May 2026
Research

You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos

DGX agent

arXiv:2303.07863v3 Announce Type: replace-cross Abstract: Given an untrimmed video, temporal sentence grounding (TSG) aims to locate a target moment semantically according to a sentence query. Althoug

researcharxiv-cs-ai
26 May 2026
Research

Zero-Shot Parkinson's Disease Detection from Speech: Comparing Large Audio and Language Models

DGX agent

arXiv:2605.24806v1 Announce Type: cross Abstract: Large audio and language models have recently demonstrated zero-shot reasoning capabilities across various domains. However, it remains unclear how th

researcharxiv-cs-ai
26 May 2026
Research

Zeroth-Order Nonconvex Nonsmooth Optimization with Heavy-Tailed Noise

DGX agent

arXiv:2605.24513v1 Announce Type: new Abstract: This paper considers the nonconvex nonsmooth problem in which the objective function is Lipschitz continuous. We focus on the stochastic setting where t

researcharxiv-cs-lg
26 May 2026
Research

5月25日、内閣総理大臣官邸で開催された車座対談に、Sakana AIの伊藤錬が参加しました。 金融など各産業に特化した高度なAI実装の実例をご紹介しました。また、海外の先端モデルも活用しつつ、日本独自の技術で、我が国の防衛の自律性やデータ主権を確保する具体的方法についても高市総…

DGX agent

5月25日、内閣総理大臣官邸で開催された車座対談に、Sakana AIの伊藤錬が参加しました。 金融など各産業に特化した高度なAI実装の実例をご紹介しました。また、海外の先端モデルも活用しつつ、日本独自の技術で、我が国の防衛の自律性やデータ主権を確保する具体的方法についても高市総理と貴重な意見 交換の機会をいただきました。 本日、スタートアップ4社(Atomis、Sakana AI、Oceanic

researchdavid-ha--x
25 May 2026
Research

A comprehensive evaluation of pretraining strategies for channel-agnostic contrastive self-supervision of biosignals

DGX agent

arXiv:2410.19842v2 Announce Type: replace-cross Abstract: Contrastive learning yields impressive results for self-supervision in computer vision. The approach relies on the creation of positive pairs,

researcharxiv-cs-lg
25 May 2026
Research

A drone-based framework for coral habitat mapping via weakly supervised segmentation

DGX agent

arXiv:2508.18958v2 Announce Type: replace-cross Abstract: Obtaining pixel-level annotations over large spatial extents remains a major bottleneck for deploying machine learning in ecological applicati

researcharxiv-cs-ai
25 May 2026
Research

A Fine-Tuned BERT Classifier for Personal-Letter Titles in Late-Ming and Early-Qing Collected Works

DGX agent

arXiv:2605.23103v1 Announce Type: cross Abstract: I present Lepton (Letter Prediction), a fine-tuned BERT classifier that predicts whether a title in a Classical Chinese wenji table of contents is a p

researcharxiv-cs-ai
25 May 2026
Research

A graph-based analysis of semantic types and coercion in contextualized word embeddings

DGX agent

arXiv:2605.23710v1 Announce Type: new Abstract: Semantic type mismatch between a noun and its context is central to coercion phenomena. This paper introduces a graph-based method to examine how lexica

researcharxiv-cs-cl
25 May 2026
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