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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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94,811 results
Research

Autoencoders in Function Space

DGX agent

arXiv:2408.01362v4 Announce Type: replace-cross Abstract: Autoencoders have found widespread application in both their original deterministic form and in their variational formulation (VAEs). In scien

researcharxiv-cs-lg
1 Sept 2026
Local Ai

Automated pipeline for herbarium label digitization

DGX agent

arXiv:2608.28676v1 Announce Type: new Abstract: Digitized herbarium collections, now comprising over 100 million freely accessible specimen images, have become a critical resource for addressing funda

DGX agent

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local-aiarxiv-cs-cv
1 Sept 2026
Model Releases

Automated Researchers Can Reliably Mitigate Alignment Failures

DGX agent

arXiv:2608.28945v1 Announce Type: new Abstract: Automating alignment research may accelerate progress toward aligned AI, but whether it does is hard to measure. Luckily, many alignment failures, such

model-releasesarxiv-cs-ai
1 Sept 2026
Safety

Automated Testing of LLM-Based Post Hoc Explainers Using Model Checking as an Oracle

DGX agent

arXiv:2608.30581v1 Announce Type: new Abstract: Large language models (LLMs) are used as post hoc explainers of sequential decision-making policies, producing natural-language explanations of why an a

safetyarxiv-cs-ai
1 Sept 2026
Safety

Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models

DGX agent

arXiv:2608.30022v1 Announce Type: new Abstract: Introduction: NICE guidelines provide evidence-based recommendations for clinical care but remain largely in unstructured natural language. Existing app

safetyarxiv-cs-ai
1 Sept 2026
Safety

Autonomously Acquiring Robot Manipulation Skills with Language-Driven Quality-Diversity

DGX agent

arXiv:2608.30983v1 Announce Type: new Abstract: Quality-diversity (QD) algorithms have been gaining traction in robot learning, where diverse motion primitive libraries allow robots to adapt zero-shot

safetyarxiv-cs-ro
1 Sept 2026
Model Releases

Autoregressive Mosaics: Probing 2D Spatial Reasoning in Text-Only Language Models

DGX agent

arXiv:2608.30751v1 Announce Type: new Abstract: Large language models (LLMs) trained only on text and code can sometimes generate programs that draw recognizable images. However, it is unclear whether

model-releasesarxiv-cs-ai
1 Sept 2026
Tutorials

AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative Investment

DGX agent

arXiv:2608.28632v1 Announce Type: new Abstract: Large language model agents can discover alphas, yet current methods have three weaknesses. The search cannot adapt during the run, automation usually e

tutorialsarxiv-cs-ai
1 Sept 2026
Model Releases

A.X K2 Technical Report

DGX agent

arXiv:2608.30181v1 Announce Type: new Abstract: We introduce A.X K2, a 688B-parameter Mixture-of-Experts (MoE) language model trained from scratch as a high-performance foundation for agentic applicat

model-releasesarxiv-cs-ai
1 Sept 2026
Local Ai

Background-Free Objectness Learning for Class-Agnostic Detection

DGX agent

arXiv:2608.29232v1 Announce Type: cross Abstract: Object detectors are typically trained under closed-set supervision, where unlabeled regions are implicitly treated as background. Under incomplete an

local-aiarxiv-cs-ai
1 Sept 2026
Safety

BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML Tasks

DGX agent

arXiv:2608.30724v1 Announce Type: cross Abstract: LLM agents are increasingly used to run autonomous ML experiments, iterating on target metrics with little human oversight. Prior work has documented

safetyarxiv-cs-ai
1 Sept 2026
Model Releases

Balance of Benchmarks: Semantic Density Reweighting for Benchmark Multiplicity and Task-Conditioned Evaluation

DGX agent

arXiv:2608.30044v1 Announce Type: new Abstract: Language models are commonly compared by averaging scores across a benchmark list with equal weight. Such lists grow through publication outside an expl

model-releasesarxiv-cs-ai
1 Sept 2026
Model Releases

Balancing Privacy, Utility, and Safety in LLM Alignment through Preference Optimization

DGX agent

arXiv:2608.30141v1 Announce Type: cross Abstract: Preference optimization is widely used to align large language models with human preferences, but preference-data composition may also influence priva

model-releasesarxiv-cs-lg
1 Sept 2026
Model Releases

Bayesian-Optimized Superpixel-GrabCut for Traceable Optic Disc Segmentation

DGX agent

arXiv:2608.29196v1 Announce Type: new Abstract: Optic disc (OD) segmentation is essential for diagnosing ophthalmic pathologies from retinal fundus images. However, prevailing deep learning approaches

model-releasesarxiv-cs-cv
1 Sept 2026
Safety

BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning

DGX agent

arXiv:2608.30283v1 Announce Type: cross Abstract: Expected-cost constraints can still permit rare, high-cost events. Monte Carlo conditional value at risk (CVaR) gradients can be noisy at high confide

safetyarxiv-cs-ai
1 Sept 2026
Applications

BEACON: Behavioral and Semantic Enrichment of AlphaEarth Embeddings through Tri-Modal Contrastive Learning

DGX agent

arXiv:2608.29553v1 Announce Type: new Abstract: Geospatial foundation models such as the AlphaEarth Foundation produce compact and globally consistent representations of the Earth's surface that trans

applicationsarxiv-cs-lg
1 Sept 2026
Research

Beamforming Design Via GNN in mmWave Cell-Free Massive MIMO Using Sub-6 GHz CSI

DGX agent

arXiv:2608.30524v1 Announce Type: cross Abstract: Beamforming methods in millimeter-wave (mmWave) cell-free massive multiple-input multiple-output (CFmMIMO) systems require accurate channel state info

researcharxiv-cs-lg
1 Sept 2026
Research

Beat-Synchronous Tokenization for ECG Transformers

DGX agent

arXiv:2608.30367v1 Announce Type: new Abstract: Transformer-based electrocardiogram (ECG) models commonly tokenize waveforms into fixed temporal patches. Though convenient, fixed patching can split he

researcharxiv-cs-lg
1 Sept 2026
Model Releases

Behavior-Skill: A Fine-Grained Benchmark for Evaluating Vision-Language-Action Policies in Long-Horizon Tasks

DGX agent

arXiv:2608.30536v1 Announce Type: new Abstract: Reliable execution of long-horizon mobile manipulation tasks remains challenging because overall task success depends on the successful completion of mu

model-releasesarxiv-cs-ro
1 Sept 2026
Safety

Behavioral Latency as Weak Event-Time Supervision for EEG Reaction-Time Decoding

DGX agent

arXiv:2608.29428v1 Announce Type: new Abstract: Single-trial EEG analyses are often organized around events and latencies, yet EEG-based reaction-time (RT) prediction is posed as scalar regression on

safetyarxiv-cs-lg
1 Sept 2026
Model Releases

Benchmark Contamination: A Taxonomy Organized by Defeated Mitigation

DGX agent

arXiv:2608.29463v1 Announce Type: cross Abstract: A benchmark score is a joint property of the model, the evaluation harness, the elicitation budget, the sampled population, and contamination status.

model-releasesarxiv-cs-ai
1 Sept 2026
Model Releases

Benchmarking External Generalization of SPD Matrix Learning for Resting-State fMRI Connectome Prediction

DGX agent

arXiv:2608.30418v1 Announce Type: cross Abstract: Resting-state functional magnetic resonance imaging (rs-fMRI) functional connectivity (FC) matrices are widely used for individual-level prediction, b

model-releasesarxiv-cs-lg
1 Sept 2026
Research

Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts

DGX agent

arXiv:2608.30175v1 Announce Type: new Abstract: Peptide-protein affinity models are often evaluated with a single data split, obscuring whether they interpolate among measurements for observed targets

researcharxiv-cs-lg
1 Sept 2026
Safety

Benevolent Bias in Multi-Turn Human-Agent Dialogue

DGX agent

arXiv:2608.29206v1 Announce Type: new Abstract: Bias in human-agent interaction can manifest not only through hostile language but also as benevolent bias, whereby unequal treatment hides behind a war

safetyarxiv-cs-ai
1 Sept 2026
Safety

Better World Models Can Lead to Better Post-Training Performance

DGX agent

arXiv:2512.03400v2 Announce Type: replace-cross Abstract: We study how explicit world-modeling objectives affect the internal representations and downstream capability of Transformers, using Rubik's C

safetyarxiv-cs-ai
1 Sept 2026
Local Ai

Beyond Accuracy: Quantifying Pulmonary Attribution in Anatomy-Guided Chest X-Ray Classification Under Domain Shift

DGX agent

arXiv:2608.30467v1 Announce Type: new Abstract: Deep-learning models can achieve strong chest X-ray (CXR) classification performance without establishing whether their predictions predominantly rely o

local-aiarxiv-cs-cv
1 Sept 2026
Research

Beyond Churn: Predicting Financial Fragmentation in Retail Banking with Temporal Machine Learning

DGX agent

arXiv:2608.30364v1 Announce Type: new Abstract: Retail banking attrition is usually represented as a terminal binary event, even though client relationships often weaken earlier through partial moveme

researcharxiv-cs-lg
1 Sept 2026
Safety

Beyond Consensus: Downward Bias and Role Asymmetry in Multi-Agent LLM Judges for Subjective Evaluation

DGX agent

arXiv:2608.30373v1 Announce Type: new Abstract: Multi-Agent Debate (MAD) has been widely adopted to improve LLM-based evaluation by prompting multiple agents to negotiate and reach a consensus. Howeve

safetyarxiv-cs-cl
1 Sept 2026
Model Releases

Beyond Correctness: Validity-Oriented Evaluation of Biomedical LLM Judges

DGX agent

arXiv:2608.29127v1 Announce Type: new Abstract: We propose a scalable, validity-oriented pipeline for evaluating biomedical LLM judges when high-quality human judgments are scarce. First, we augment e

model-releasesarxiv-cs-ai
1 Sept 2026
Research

Beyond Dense States: Sparse Transcoders as Causally Testable Operators for LLM Latent Reasoning

DGX agent

arXiv:2602.01695v2 Announce Type: replace Abstract: Latent reasoning reduces the token-generation cost of chain-of-thought reasoning by replacing explicit intermediate tokens with continuous latent tr

researcharxiv-cs-ai
1 Sept 2026
Model Releases

Beyond Fluency: A Rubric-Based Benchmark for Evaluating Saudi Dialect and Cultural Competence in Large Language Models

DGX agent

arXiv:2608.29990v1 Announce Type: cross Abstract: Large language models are increasingly deployed in Arabic-speaking markets, yet standard benchmarks overwhelmingly reward Modern Standard Arabic (MSA)

model-releasesarxiv-cs-ai
1 Sept 2026
Model Releases

Beyond Global Realism: Virtual Try-On Evaluation and Optimization with Dimension-wise Garment Fidelity Assessment

DGX agent

arXiv:2608.29804v1 Announce Type: new Abstract: Virtual try-on (VTON) requires not only realistic generation but also faithful preservation of garment characteristics. However, existing evaluation met

model-releasesarxiv-cs-cv
1 Sept 2026
Applications

Beyond Good Intentions: When Does the Framing of Multilingual and Low-Resource NLP Research Become a Caricature?

DGX agent

arXiv:2608.30866v1 Announce Type: new Abstract: Building language technologies and conducting NLP research for low-resource languages---particularly when led by native speakers or involving participat

applicationsarxiv-cs-cl
1 Sept 2026
Model Releases

Beyond Helpfulness: A Teaching-over-Solving Diagnostic for Measuring Educational Impact in LLM Tutors

DGX agent

arXiv:2606.16206v2 Announce Type: replace Abstract: Large language models are increasingly proposed as educational tutors, yet stronger task-solving ability does not necessarily imply stronger learnin

model-releasesarxiv-cs-ai
1 Sept 2026
Agents

Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence

DGX agent

arXiv:2606.15932v3 Announce Type: replace Abstract: While Large Language Models (LLMs) have substantially advanced text-to-code generation, many real programming tasks specify intent through visual ar

agentsarxiv-cs-cl
1 Sept 2026
Safety

Beyond Polarization: The Generative Constraint of Chain-of-Thought in Pointwise Reranking

DGX agent

arXiv:2608.30398v1 Announce Type: new Abstract: In pointwise document reranking, Chain-of-Thought models typically underperform direct scoring models. While existing diagnostics attribute this to infe

safetyarxiv-cs-cl
1 Sept 2026
Applications

Beyond Ranking Accuracy: Evaluating LLM-Cited Feature Rationales for Next Basket Repurchase Recommendation

DGX agent

arXiv:2608.30333v1 Announce Type: cross Abstract: Next-basket repurchase recommendation is commonly formulated as a ranking task: given a customer's purchase history, the system ranks previously purch

applicationsarxiv-cs-ai
1 Sept 2026
Safety

Beyond Representation Learning: A Systematic Study of Joint-Embedding Predictive Generation for 3D Brain MRI

DGX agent

arXiv:2608.28787v1 Announce Type: new Abstract: Joint-embedding predictive architectures (JEPAs) have primarily been developed for self-supervised representation learning. Denoising JEPA (D-JEPA) rece

safetyarxiv-cs-cv
1 Sept 2026
Model Releases

Beyond Semantic Accuracy: Consequence-Aware Evaluation for Safety-Critical Language Understanding

DGX agent

arXiv:2608.24621v2 Announce Type: replace Abstract: Can language models be trusted in safety- critical operations? In such settings, strong per- formance on semantic metrics does not guaran- tee opera

model-releasesarxiv-cs-cl
1 Sept 2026
Model Releases

Beyond Semantic Similarity: Reducing Unnecessary API Calls via Behavior-Aligned Retriever

DGX agent

arXiv:2508.14323v3 Announce Type: replace Abstract: Tool-augmented LLMs invoke external functions to extend their capabilities, but errors in the invocation decision, such as calling a tool when none

model-releasesarxiv-cs-cl
1 Sept 2026
Research

Beyond Static Visual Tokens: Structured Sequential Visual Chain-of-Thought Reasoning

DGX agent

arXiv:2603.26737v2 Announce Type: replace-cross Abstract: Current multimodal LLMs encode images as static visual prefixes and rely on text-based reasoning, lacking goal-driven and adaptive visual acce

researcharxiv-cs-ai
1 Sept 2026
Safety

Beyond Surface Alignment: Grounding the Dynamics of Situational Understanding and Generative Control in LLMs

DGX agent

arXiv:2608.29610v1 Announce Type: new Abstract: The current alignment tuning paradigm for Large Language Models (LLMs) prioritizes surface-level behaviors -- fluency, safety, and tonal consistency. Wh

safetyarxiv-cs-cl
1 Sept 2026
Research

Beyond Surface Forms: Symbolic Edits as a Test for Logical Reasoning with LLMs

DGX agent

arXiv:2608.30256v1 Announce Type: cross Abstract: Logical reasoning with large language models (LLMs) is a critical capability, as it reflects a system's ability to correctly deduce hypotheses from a

researcharxiv-cs-ai
1 Sept 2026
Model Releases

Beyond the Answer Key: Robustness Evaluation of Large Language Models for Step-Level Mathematical Verification

DGX agent

arXiv:2608.28725v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as graders, verifiers, and process auditors, but most mathematical evaluations still emphasize final-

model-releasesarxiv-cs-ai
1 Sept 2026
Safety

Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models

DGX agent

arXiv:2510.03136v2 Announce Type: replace Abstract: Confidence calibration, the alignment of a model's predicted confidence with its actual accuracy, is crucial for the reliable deployment of Large La

safetyarxiv-cs-cl
1 Sept 2026
Model Releases

Beyond the Payload: How User Invocation Shapes Coding Agent Vulnerability to Repository Poisoning

DGX agent

arXiv:2608.30686v1 Announce Type: cross Abstract: Coding agents are increasingly used for software engineering tasks, including bootstrapping projects from third-party repositories whose integrity can

model-releasesarxiv-cs-cl
1 Sept 2026
Safety

Beyond Token-Level Guidance: Inference-Time Alignment of Specialized LLMs via Cross-Family Representation Steering

DGX agent

arXiv:2608.30319v1 Announce Type: cross Abstract: Large language models (LLMs) finetuned for specialized domains represent crucial high-impact applications. Inference-time alignment improves safety de

safetyarxiv-cs-ai
1 Sept 2026
Research

Beyond Uncertainty: Multi-Solver Disagreement Rewards for Self-Evolving Reasoning Curricula

DGX agent

arXiv:2608.30035v1 Announce Type: new Abstract: Self-evolving reasoning frameworks train a Challenger to generate questions exposing a Solver's weaknesses, creating adaptive curricula without human da

researcharxiv-cs-ai
1 Sept 2026
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