AI Wiki
TimelineEvolutionGraphStatusLandscapesAsk wiki
Live from Git
AI Wiki
TimelineEvolutionGraphStatusLandscapesAsk wiki
Live from Git
Filter entries
Categories
  • 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

Source
HumanDGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
Categories
  • 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

Source
HumanDGX agent
127,664Total entries
60Added by human
127,604Found by agent
13Categories

Knowledge catalogue

safety

GridTimelineEvolution
19,755 results
Safety

Alignment-Aware Decoding

DGX agent

arXiv:2509.26169v2 Announce Type: replace Abstract: Alignment of large language models remains a central challenge in natural language processing. Preference optimization has emerged as a popular and

safetyarxiv-cs-lg
3 Jun 2026
Safety

an astonishing statistic, consistent with the claim I made the other day that Elon’s best days may be behind him:

DGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters

Gary Marcus shared a statistic on X that he claims supports his earlier assertion that Elon Musk's most successful period may be in the past. The post likely presents data related to Musk's business p

safetygary-marcus--x
3 Jun 2026
Safety

Are we really tilting? The mechanics of reward guidance in flow and diffusion models

DGX agent

arXiv:2606.02884v1 Announce Type: cross Abstract: Reward guidance algorithms steer a learned generative process toward the reward-tilted measure at inference time. While empirically powerful, these me

safetyarxiv-cs-ai
3 Jun 2026
Safety

ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization

DGX agent

arXiv:2501.17377v4 Announce Type: replace-cross Abstract: Deep Reinforcement Learning (DRL) has emerged as a promising approach for solving Combinatorial Optimization (CO) problems, such as the 3D Bin

safetyarxiv-cs-ai
3 Jun 2026
Safety

Assessing Region-Level EEG Contributions to Cognitive Workload Prediction

DGX agent

arXiv:2606.02598v1 Announce Type: new Abstract: Accurate and generalizable estimation of cognitive workload from electroencephalography (EEG) is critical for human-centered and safety-critical systems

safetyarxiv-cs-lg
3 Jun 2026
Safety

ASymPO: Asymmetric-Scale Policy Optimization for Asynchronous LLM Post-Training Without Behavior Information

DGX agent

arXiv:2606.03070v1 Announce Type: cross Abstract: Asynchronous reinforcement learning can improve language-model post-training throughput by decoupling response generation from policy optimization, bu

safetyarxiv-cs-ai
3 Jun 2026
Safety

Attention Calibration for Position-Fair Dense Information Retrieval

DGX agent

arXiv:2606.02737v1 Announce Type: cross Abstract: Dense retrieval models exhibit positional bias: retrieval effectiveness degrades when relevant information appears later in a passage (Zeng et al., 20

safetyarxiv-cs-ai
3 Jun 2026
Safety

Backdoor Unlearning Generalization: A Path Toward the Removal of Unknown Triggers in LLMs

DGX agent

arXiv:2606.03785v1 Announce Type: new Abstract: Backdoor attacks in Large Language Models (LLMs) are a growing security concern, where models can generate adversary-chosen content. Existing defenses t

safetyarxiv-cs-cl
3 Jun 2026
Safety

Bayesian Tensor Decomposition with Diffusion Model Prior

DGX agent

arXiv:2606.03212v1 Announce Type: new Abstract: Low-rank tensor decomposition (TD) is usually effective on clean, fully observed data, but it often degrades under severe missingness or noise. Low-rank

safetyarxiv-cs-lg
3 Jun 2026
Safety

Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching

DGX agent

arXiv:2602.12221v2 Announce Type: replace Abstract: We propose UniDFlow, a unified discrete flow-matching framework for multimodal understanding, generation, and editing. It decouples understanding an

safetyarxiv-cs-cv
3 Jun 2026
Safety

Bionic Human-Motion Style Transfer for Physically Executable Whole-Body Control of Humanoid Robots

DGX agent

arXiv:2606.03536v1 Announce Type: new Abstract: Expressive whole-body motion is important for humanoid robots operating in human environments, where robots are expected to move stably while presenting

safetyarxiv-cs-ro
3 Jun 2026
Safety

Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs

DGX agent

arXiv:2606.03647v1 Announce Type: cross Abstract: Accurately evaluating adversarial robustness is a longstanding challenge. A flawed attack design can inflate robustness estimates, making deployment r

safetyarxiv-cs-ai
3 Jun 2026
Safety

Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL

DGX agent

arXiv:2510.08977v2 Announce Type: replace-cross Abstract: Reinforcement learning with verifiable rewards (RLVR) efficiently scales the reasoning ability of large language models (LLMs) but is bottlene

safetyarxiv-cs-cl
3 Jun 2026
Safety

Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving

DGX agent

arXiv:2606.03296v1 Announce Type: new Abstract: Complex, dynamic, and interactive driving environments pose significant challenges for autonomous driving, primarily due to the pervasive uncertainty of

safetyarxiv-cs-ro
3 Jun 2026
Safety

Brief Announcement: Generative Markov Model for Distributed Computing Systems

DGX agent

arXiv:2606.03061v1 Announce Type: cross Abstract: Emerging distributed computing paradigms, such as the computing continuum, are inherently heterogeneous, stochastic, and complex. Efficiently and effe

safetyarxiv-cs-ai
3 Jun 2026
Safety

Building Better Activation Oracles

DGX agent

arXiv:2606.02609v1 Announce Type: cross Abstract: Activation Oracles (AOs) are promising methods for interpreting residual stream activations. However, current AOs face important issues, such as hallu

safetyarxiv-cs-ai
3 Jun 2026
Safety

Coherence Maximization Improves Pluralistic Alignment

DGX agent

arXiv:2606.03110v1 Announce Type: new Abstract: Aligning AI systems with diverse human values requires value specifications grounded in concrete examples, but generating such examples without extensiv

safetyarxiv-cs-cl
3 Jun 2026
Safety

Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourism

DGX agent

arXiv:2508.15030v5 Announce Type: replace Abstract: We propose COLLAB-REC, a multi-agent framework designed to counteract popularity bias and improve diversity in tourism recommendations. In our setup

safetyarxiv-cs-ai
3 Jun 2026
Safety

Consistency Training Can Entrench Misalignment

DGX agent

arXiv:2606.03810v1 Announce Type: cross Abstract: Consistency training encourages a model to produce similar outputs across related inputs or sampling procedures. Such methods are simple, scalable, an

safetyarxiv-cs-ai
3 Jun 2026
Safety

Constitutional On-Policy Safe Distillation

DGX agent

arXiv:2606.03089v1 Announce Type: cross Abstract: On-policy self-distillation (OPSD) has emerged as an efficient post-training paradigm by using a teacher conditioned on privileged information to prov

safetyarxiv-cs-ai
3 Jun 2026
Safety

ConTrack: Constrained Hand Motion Tracking with Adaptive Trade-off Control

DGX agent

arXiv:2606.03177v1 Announce Type: new Abstract: Human demonstrations provide strong priors for robot manipulation, yet it is non-trivial to transfer them to execute on real robots due to the kinematic

safetyarxiv-cs-ro
3 Jun 2026
Safety

ConTraIRL: Factorized Contrastive Abstractions for Transferable IRL

DGX agent

arXiv:2606.03017v1 Announce Type: cross Abstract: Reward transfer in Inverse Reinforcement Learning (IRL) is unreliable when policies must generalize to unseen combinations of environment dynamics and

safetyarxiv-cs-ai
3 Jun 2026
Safety

Contrastive Neural Algorithmic Reasoning for Graph Coloring

DGX agent

arXiv:2606.03923v1 Announce Type: new Abstract: Graph coloring seeks to assigns colors to a graph's nodes so that adjacent nodes receive different colors, using as few colors as possible. Here, we stu

safetyarxiv-cs-lg
3 Jun 2026
Safety

Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations

DGX agent

arXiv:2606.03936v1 Announce Type: new Abstract: Neural operator surrogates (NO) approximate PDE solutions orders of magnitude faster than numerical solvers, but suffer from spectral bias: high-frequen

safetyarxiv-cs-lg
3 Jun 2026
Safety

CP-Agent: Context-Aware Multimodal Reasoning for Cellular Morphological Profiling under Chemical Perturbations

DGX agent

arXiv:2606.03435v1 Announce Type: new Abstract: Cell Painting combines multiplexed fluorescent staining, high-content imaging, and quantitative analysis to generate high-dimensional phenotypic readout

safetyarxiv-cs-ai
3 Jun 2026
Safety

Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments

DGX agent

arXiv:2506.21129v2 Announce Type: replace-cross Abstract: Autonomous unmanned aerial vehicles (UAVs) increasingly rely on reinforcement learning (RL) for navigation. However, global navigation satelli

safetyarxiv-cs-ai
3 Jun 2026
Safety

D-Judge: Disrupting Multi-Turn Jailbreaks using Semantics-Preserving Output Rewriting

DGX agent

arXiv:2606.02640v1 Announce Type: cross Abstract: Multi-turn jailbreak attacks pose a growing threat to large language model (LLM) safety because they exploit feedback from auxiliary judge models to i

safetyarxiv-cs-ai
3 Jun 2026
Safety

Data- and Variance-dependent Regret Bounds for Online Tabular MDPs

DGX agent

arXiv:2602.01903v2 Announce Type: replace Abstract: This work studies online episodic tabular Markov decision processes (MDPs) with known transitions and develops best-of-both-worlds algorithms that a

safetyarxiv-cs-lg
3 Jun 2026
Safety

Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering

DGX agent

arXiv:2606.03899v1 Announce Type: new Abstract: Muon has recently demonstrated strong empirical performance in large language model training, but the theoretical role of momentum in Muon remains uncle

safetyarxiv-cs-lg
3 Jun 2026
Safety

Denoising Tells When to Replan: Denoising-Variance Adaptive Chunking for Flow-Based Robot Policies

DGX agent

arXiv:2606.03847v1 Announce Type: new Abstract: Action chunking has become a common inference strategy for flow-based robot policies, improving action coherence by modeling multi-step temporal depende

safetyarxiv-cs-ro
3 Jun 2026
Safety

Discovering autonomous quantum error correction via deep reinforcement learning

DGX agent

arXiv:2511.12482v2 Announce Type: replace-cross Abstract: Quantum error correction is essential for fault-tolerant quantum computing. However, standard methods relying on active measurements may intro

safetyarxiv-cs-lg
3 Jun 2026
Safety

Do Explanations Increase the Risk of Decision Logic Leakage? Explanation-Guided Stealing of Graph Models

DGX agent

arXiv:2506.03087v2 Announce Type: replace-cross Abstract: Graph Neural Networks (GNNs) have become essential tools for analyzing graph-structured data in domains such as drug discovery and financial a

safetyarxiv-cs-ai
3 Jun 2026
Safety

Do Neural Retrievers Prefer Certain Documents? Evidence of Learned Relevance Priors

DGX agent

arXiv:2606.02814v1 Announce Type: cross Abstract: Neural retrievers are trained to estimate query-document relevance from annotated query-document pairs. Yet annotation protocols may not purely reflec

safetyarxiv-cs-ai
3 Jun 2026
Safety

DriftSched: Adaptive QoS-Aware Scheduling under Runtime Token Drift for Multi-Tenant GPU Inference

DGX agent

arXiv:2606.02982v1 Announce Type: cross Abstract: The rapid growth of large language model (LLM) inference services has increased the demand for efficient multi-tenant GPU scheduling. While modern inf

safetyarxiv-cs-lg
3 Jun 2026
Safety

Dynamic Short Convolutions Improve Transformers

DGX agent

arXiv:2606.03825v1 Announce Type: cross Abstract: Transformers have become the dominant architecture for large language models, largely due to the scalability and flexibility of attention, feed-forwar

safetyarxiv-cs-cl
3 Jun 2026
Safety

Easy-to-Use Shielding for Reinforcement Learning

DGX agent

arXiv:2606.03804v1 Announce Type: new Abstract: Safe exploration is a key challenge in Reinforcement Learning (RL) that aims to prevent agents from making harmful decisions while exploring their envir

safetyarxiv-cs-lg
3 Jun 2026
Safety

Effect of Demographic Bias on Skin Lesion Classification

DGX agent

arXiv:2606.03214v1 Announce Type: new Abstract: In this study, we evaluate the performance of skin lesion classification using ResNet-based convolutional models, focusing on the impact of demographic

safetyarxiv-cs-ai
3 Jun 2026
Safety

Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis

DGX agent

arXiv:2606.03812v1 Announce Type: new Abstract: Operational safety in high-stakes domains such as industrial process control, autonomous, and safety-critical systems, demand reliable hazard identifica

safetyarxiv-cs-ai
3 Jun 2026
Safety

Entropy Is Not Enough: Unlocking Effective Reinforcement Learning for Visual Reasoning via Vision-Anchored Token Selection

DGX agent

arXiv:2606.03937v1 Announce Type: new Abstract: While token-level entropy is commonly recognized as effective for credit assignment in text-only reinforcement learning with verifiable rewards (RLVR),

safetyarxiv-cs-ai
3 Jun 2026
Safety

Estimating Bidirectional Causal Effects with Large Scale Online Kernel Learning

DGX agent

arXiv:2511.05050v3 Announce Type: replace-cross Abstract: In this study, a scalable online kernel learning framework is proposed for estimating bidirectional causal effects in systems characterized by

safetyarxiv-cs-lg
3 Jun 2026
Safety

Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins

DGX agent

arXiv:2606.02791v1 Announce Type: new Abstract: Watershed networks exhibit convergent topologies in which multiple tributaries merge into downstream channels,integrating diverse upstream hydrological

safetyarxiv-cs-ai
3 Jun 2026
Safety

Every action that I partake is animated by two ideals: Truth and freedom. Seeing the endless attacks on both ideals throughout the West is s…

DGX agent

Every action that I partake is animated by two ideals: Truth and freedom. Seeing the endless attacks on both ideals throughout the West is soul-crushing. We did not lose a war of aggression. We decide

safetyelon-musk--x
3 Jun 2026
Safety

EvoMemNav: Efficient Self-Evolving Fine-Grained Memory for Zero-Shot Embodied Navigation

DGX agent

arXiv:2606.03509v1 Announce Type: new Abstract: Building memory is essential for long-horizon planning in zero-shot embodied navigation. Detector-centric scene graphs often compress observations into

safetyarxiv-cs-cv
3 Jun 2026
Safety

Explainable Forecasting of Scientific Breakthroughs from Concept Network Dynamics

DGX agent

arXiv:2606.03864v1 Announce Type: cross Abstract: We introduce an explainable machine-learning approach that forecasts the structural precursors of scientific breakthroughs -- the emergence and intens

safetyarxiv-cs-lg
3 Jun 2026
Safety

Exploring Adversarial Robustness and Safety Alignment in Multilingual Multi-Modal Large Language Models

DGX agent

arXiv:2606.03793v1 Announce Type: new Abstract: Multimodal Large Language Models integrate visual perception into language reasoning, introducing a continuous attack surface susceptible to adversarial

safetyarxiv-cs-cl
3 Jun 2026
Safety

Extreme Motion Generation via Hybrid Null-Space Control for Straight-Line Path Following

DGX agent

arXiv:2606.03390v1 Announce Type: new Abstract: This work studies ``extreme motion generation'', which aims to maximize the Cartesian path length along a pre-defined trajectory within the manipulator'

safetyarxiv-cs-ro
3 Jun 2026
Safety

FAF-CD: Frequency-Aware Fusion for Change Detection under Imperfect Multimodal Remote Sensing

DGX agent

arXiv:2606.03114v1 Announce Type: new Abstract: Remote sensing change detection for real-world monitoring often relies on imperfect heterogeneous observations, where pre- and post-event images may be

safetyarxiv-cs-cv
3 Jun 2026
Safety

Fairness Definitions and Metrics in Deep Reinforcement Learning for Drug Discovery in Healthcare: A Rapid Evidence Review

DGX agent

arXiv:2606.02902v1 Announce Type: cross Abstract: Deep reinforcement learning (DRL) is increasingly applied to de novo molecular design, but choices in data, rewards, and evaluation can yield uneven p

safetyarxiv-cs-lg
3 Jun 2026
← Previous
1…260261262263264…412
Next →