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Research

Identifying Introspection From the Inside

DGX agent

arXiv:2610.07186v1 Announce Type: new Abstract: Large language models make claims about themselves that are both consequential and increasingly difficult to verify from behavior alone. How can we dist

researcharxiv-cs-cl

7 Oct 2026

Model Releases

Introducing Claude Haiku 5.5

DGX agent

As previously promised, here's Anthropic's new fast, low cost model: Introducing Claude Haiku 5.5. The previous Haiku, 4.5, was very much showing its age. It came out almost a year ago, and was priced

Search: “models”

Identifying Introspection From the Inside

Introducing Claude Haiku 5.5

Label-Efficient Deep Learning for ECG Delineation: A Multi-Dataset Benchmark against Widely Used Delineation Tools

Large Language Model Orchestration under Heterogeneous Preferences via Explicit Persona Inference

Learning to Retrieve via Reinforcement Learning in Embedding Space

LOGIC: An LLM Benchmark for Intent-Grounded Change Impact in Aerospace Electrical Systems

MedHorizon: Towards Long-context Medical Video Understanding in the Wild

Natural Language Questions as an Interface for Knowledge Graphs: QRAKEN Graph Distillation and Semantic Self-Healing

Reactive Exploration of Unknown Environments for Redundant Robots using Virtual Model Control

Reward-Driven Learning under Prompt-Level Differential Privacy

ServeLearnBench: How Well Can Agents Self-Improve from Serving Experience?

TIDE 2.0: an open, model-agnostic engine for keyed de-identification of clinical notes

WorldSolver: Can LLM Agents Simulate the Physical Dynamics via Solver Generation?

AgentDiscover: Autonomous Discovery with Minimal Search Scaffolding

ColdDDI: Evaluating Knowledge Utilization in Cold-Start Drug-Drug Interaction Prediction

Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness

Does Explainability Survive Data Drift?

FLAT: Smoothing the Rugged Landscape for Learnable, Sample-Efficient Traffic Calibration

For their Mistral Large 4 release, @MistralAI ran a blind Surge human eval, with our expert software engineers evaluating five frontier mode…

llm-mistral 0.16

MagiC: Evaluating Multimodal Cognition Toward Grounded Visual Reasoning

Render to Reason: Novel-View Semantic Prediction Improves Spatial Understanding in VLMs

Scenario-Based Compositional Statistical Model Checking for Safety Specifications

StageVLN: Spatial and Trajectory Auxiliary Guidance for Efficient Vision-Language Navigation

Steering by Influence: Curvature Aware Data Weighting for Activation Steering

Super excited about this and I know weights are coming (https://huggingface.co/mistralai/Mistral-Large-4.0-1T05-A52B) but just to be fair, y…

That one took some groundwork. Trained and served on our own compute, and RL shows no sign of saturation

Verifier-Guided Synthetic Augmentation for 3D Human Shape Generation

Voltic: Distinguishing Volatility from Stochasticity in Recurrent Memory

Budgeted-GS: Real-Time Large-Scale Gaussian Splatting via Factoring LOD

D2K-Bench: Can LLM Agents Turn Expert Designs into Efficient GPU Kernels?

Harnessing LLMs as Agents: What Does It Cost?

Hesitation Has a Geometry: Entropy-Trained Hyperbolic Probes for Sparse Activation Steering

IntentCoding: Amplifying User Intent in Code Generation

Kinematics-Induced Multimodal 3D Human Pose Estimation with Subject-Level Privacy

nokia-applied-research/AnyJev: Turn any LLM into a Jev-style decision model

On Unlearning for Time-series Forecasting

Prompted to Discriminate: Generalizing Malicious-Input Probes in the Wild

RxnOptBench: Benchmarking LLMs for Reaction-Condition Optimization in Organic Methodology

Safeguarding Mutual Correction in Source-Free Domain Adaptation via Cut Statistics

Scaling Trajectories for Complex Tasks through Recursive Self-Rewrite

Slow-Fast Multi-Teacher On-Policy Distillation for Capability Preservation

Switched my local agent from Qwen3.8 27B to Ornith 1.5 35B-A3B on two 5070 Tis: about 180 tok/s vs 60, same scores on my tests

TasteBench: Multimodal Benchmark for Sensory Prediction, from Molecules to Sustainable Foods

TerraVis: Towards Evaluation of World-Grounded Visual Consistency in Text-to-Image Generation via MLLM Workflows

Trained Agentic Context Management

When Redditors come in here and ask why we run LLMs, this is why: Big AI is watching.

I trained a 3.87B MoE (1.45B active) from scratch on only 86.5B tokens