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Knowledge catalogue

Search: “safety”

12,435 results

Safety

When AI Says It Feels

DGX agent

arXiv:2606.05734v1 Announce Type: cross Abstract: Large language models (LLMs) are generally constrained from expressing feelings through human-preference alignment in post-training processes. This po

safetyarxiv-cs-cl

5 Jun 2026

Safety

When Evidence is Sparse: Weakly Supervised Early Failure Alerting in Dialogs and LLM-Agent Trajectories

DGX agent

arXiv:2606.05414v1 Announce Type: new Abstract: Early failure alerting requires deciding, while a dialog or agent trajectory is still unfolding, whether to flag it as likely to fail. This is challengi

Search: “safety”

When AI Says It Feels

When Evidence is Sparse: Weakly Supervised Early Failure Alerting in Dialogs and LLM-Agent Trajectories

3PoinTr: 3D Point Tracks for Learning Manipulation from Unconstrained Human Videos

A Goal-Set Characterization of Task Composition in the Boolean Task Algebra

A Unified Framework for Locality in Scalable MARL

A Unified Geometric Space for Topological Alignment Between Transformer-Based Models and Human Brain Networks

Achieving Rotation-Invariant Convolution via Non-Learnable Orientation Alignment Operators

Adaptive Calibration for Fair and Performant Facial Recognition

Adaptive Information Control for Search-Augmented LLM Reasoning

Anycast Performance in Context

Be Fair! Can Machine Learning Engineering Agents Adhere to Fairness Constraints?

Beyond Static Priors: Dynamic Neural Guidance for Large-Scale Ant Colony Optimization

Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain

BiasGRPO: Stabilizing Bias Mitigation in High-Variance Reward Landscapes via Group-Relative Policy Optimization

Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions

Channel-Oriented Design for EEG-to-Music Reconstruction

Confidence Before Answering: A Paradigm Shift for Efficient LLM Uncertainty Estimation

CoRe-MoE: Contrastive Reweighted Mixture of Experts for Multi-Terrain Humanoid Locomotion with Gait Adaptation

Covert Influence Between Language Models

Crafting Your Evolving Dreams: Concept-Incremental Versatile Customization

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks

Customizing the Inductive Biases of Softmax Attention using Structured Matrices

DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning

DPM++: Dynamic Masked Metric Learning for Occluded Person Re-identification

DuDi: Dual-Signal Distillation with Cross-Lingual Verbalizer

DVGT: Driving Visual Geometry Transformer

Dynamic Multi-Pair Trading Strategy in Cryptocurrency Markets with Deep Reinforcement Learning

Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer

Edge of Stability Selectively Shapes Learning Across the Data Distribution

Efficient Adversarial Attacks on High-dimensional Offline Bandits

Enhancing the MADDPG Algorithm for Multi-Agent Learning via Action Inference and Importance Sampling

Extending Fair Null-Space Projections for Continuous Attributes to Kernel Methods

FLAGG: Flexible Autoregressive Graph Generation

Fog of Love: Engineering Virtuous Agent Behavior with Affinity-based Reinforcement Learning in a Game Environment

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation

Generalizable Multi-Task Learning for Wireless Networks Using Prompt Decision Transformers

Generalization of World Models under Environmental Variability for Vision-based Quadrotor Navigation

Geometry-Aware Distillation for Prompt Tuning Biomedical Vision-Language Models

Geospatial Foundation Models to Enable Progress on Sustainable Development Goals

Global Sketch-Based Watermarking for Diffusion Language Models

Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning

GRAIL: Gradient-Reweighted Advantages for Reinforcement Learning with Verifiable Rewards

HapTile: A Haptic-Informed Vision-Tactile-Language-Action Dataset for Contact-Rich Imitation Learning

Hybrid Adversarial Defence for Natural Language Understanding Tasks

Imbuing Large Language Models with Bidirectional Logic for Robust Chain Repair

In-Context Graphical Inference

Instant-Fold: In-Context Imitation Learning for Deformable Object Manipulation