127,664Total entries

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Research

Midpoint Generative Models

DGX agent

arXiv:2605.29920v1 Announce Type: new Abstract: We introduce Midpoint Generative Models (MGM), a principled framework for training one-step generative models. MGM is based on a simple symmetry of Flow

researcharxiv-cs-lg

29 May 2026

Model Releases

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models

DGX agent

arXiv:2602.14399v2 Announce Type: replace Abstract: Multi-turn jailbreak attacks have proven effective against text-only large language models (LLMs), where malicious content is gradually introduced t

Search: “models”

Midpoint Generative Models

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models

Pocket-Dentist: On-Device Dental Image Understanding via Efficient Multimodal Large Language Models

Prioritize the Process, Not Just the Outcome: Rewarding Latent Thought Trajectories Improves Reasoning in Looped Language Models

Reasoning that Travels: Dissecting How Chain-of-Thought Transfers Across Models

Spurious Prompts: Can Irrelevant Prompts Steer Large Language Models?

Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies

Three-dimensional Conditional Diffusion Models for Cosmological 21 cm Lightcone Emulation

Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy

Towards Understanding the Shape of Representations in Protein Language Models

When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models

AIBuildAI-2: A Knowledge-Enhanced Agent for Automatically Building AI Models

AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models

Benchmarks are Not Enough: RAMP for Runtime Assessing of Agentic Models in Production Systems

Cultural Binding Heads in Language Models

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes

From Pixels to Words -- Towards Native One-Vision Models at Scale

High Performance, Low Reliability: Uncertainty Benchmarking for Tabular Foundation Models

{Omega}-QVLA: Robust Quantization for Vision-Language-Action Models via Composite Rotation and Per-step Scaling

Playing with Words, Improving with Rewards: Training Language Models for Creative Association

PrunePath: Towards Highly Structured Sparse Language Models

Pruning and Distilling Mixture-of-Experts into Dense Language Models

Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification

The Point, the Vision and the Text: Does Point Cloud Boost Spatial Reasoning of Large Language Models? A Bias-Controlled Study

Trust Me, I'm an Expert: Decoding and Steering Authority Bias in Large Language Models

Aperiodic and Low-Frequency Spectral Bias in Reconstruction based EEG Foundation Models

Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models

EconCausal: A Context-Aware Economic Reasoning Benchmark for Large Language Models

Erased but Exploitable: Black-box Embedding-Aware Prompting Against Unlearned Text-to-Image Diffusion Models

Few-shot Cross-country Generalization of Tabular Machine Learning and Foundation Models for Childhood Anemia Prediction under Distribution Shift

Hubness, Not Anisotropy, Drives Cross-Lingual Retrieval Asymmetry in Multilingual Embedding Models

SEC-bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks?

Towards Controllable Image Generation through Representation-Conditioned Diffusion Models

ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models

AstroMind: A High-Fidelity Benchmark for Spacecraft Behavior Reasoning Based on Large Language Models

Benchmarking Pathology Foundation Models for Spatial Domain Understanding

Directional Alignment Mitigates Reward Hacking in Reinforcement Learning for Language Models

DIVER-1: Scaling Intracranial EEG Foundation Models for Transferable Representations

Extracting Training Data from Diffusion Language Models via Infilling

Factored Latent Action World Models

Language Models Need Sleep

M^3-Verse: A 'Spot the Difference' Challenge for Large Multimodal Models

NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models

PALoRA: Projection-Adaptive LoRA for Preserving Reasoning in Large Language Models

Representation Without Control: Testing the Realization Effect in Language Models

RepSAM: Bridging Foundation Models to Robotic Vision via Representation-Guided Adaptation

Simulating Human Memory with Language Models

Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models