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Page 1368 of 1372

February 12, 2026

Dynamic Contamination-Free Medical Benchmark
Research

Dynamic Contamination-Free Medical Benchmark

LiveMedBench offers weekly updated real-world clinical cases for LLM evaluation, avoiding contamination via temporal separation. Multi-agent curation ensures integrity; automated rubric evaluation aligns with experts better than alternatives.

ArXiv AI · 215d ago

Dissecting Moltbook's Non-Human Social Graph
Research

Dissecting Moltbook's Non-Human Social Graph

Early Moltbook data from 6k agents shows power-law participation and small-world connectivity like human networks. Micro patterns are alien: shallow threads, low reciprocity, 34% duplicate templates.

ArXiv AI · 215d ago

Diffusion Priors Enhance Sparse CT Reconstruction
Image

Diffusion Priors Enhance Sparse CT Reconstruction

Introduces diffusion-based generative priors in DGP framework for reconstructing CT images from sparse-view sinograms. Combines iterative optimization with neural generative power while preserving explainability.

ArXiv AI · 215d ago

Diffusion Models Graph Domain Adaptation
Research

Diffusion Models Graph Domain Adaptation

DiffGDA uses diffusion and SDEs to model continuous structure-semantic evolution from source to target graphs. A domain-aware network guides trajectories to optimal adaptation paths.

ArXiv AI · 215d ago

DermFM-Zero Excels in Zero-Shot Dermatology
Image

DermFM-Zero Excels in Zero-Shot Dermatology

DermFM-Zero is a vision-language model trained on 4M multimodal data for zero-shot dermatology tasks. Achieves SOTA on benchmarks and outperforms clinicians in studies.

ArXiv AI · 215d ago

CycFlow: Deterministic Flows for TSP Optimization
Research

CycFlow: Deterministic Flows for TSP Optimization

CycFlow replaces diffusion generation with deterministic point transport for combinatorial optimization like TSP. It learns vector fields to map coordinates to circular arrangements for angular sorting.

ArXiv AI · 215d ago

Crypto Guards LLM Prompts and Context
Models

Crypto Guards LLM Prompts and Context

Proposes authenticated prompts and context for cryptographic provenance in LLM apps. Features policy algebra with Byzantine resistance and layered defenses.

ArXiv AI · 215d ago

CrossTALK Jailbreaks VLMs Effectively
Models

CrossTALK Jailbreaks VLMs Effectively

Proposes CrossTALK for red-teaming VLMs via cross-modal entanglement attacks. Extends clues across modalities with scalable complexity.

ArXiv AI · 215d ago

CRL Steers SAE Features Token-by-Token
Models

CRL Steers SAE Features Token-by-Token

CRL uses reinforcement learning to select sparse autoencoder (SAE) features for steering language models at each token, revealing which features impact outputs. It includes adaptive masking for diverse features and enables analysis like branch point tracking and layer-wise comparisons.

ArXiv AI · 215d ago

Confounds Limit FM CT Specificity
Image

Confounds Limit FM CT Specificity

Foundation models match task-specific discrimination in abdominal trauma CT but suffer specificity drops from negative-class heterogeneity like solid organ injuries. Task-specific models handle confounds better.

ArXiv AI · 215d ago

CLI-Gym Scales CLI Task Generation
Coding

CLI-Gym Scales CLI Task Generation

CLI-Gym generates 1,655 CLI tasks via agentic environment inversion from Dockerfiles. It simulates histories to create buggy states and derives tasks with error messages.

ArXiv AI · 215d ago

C^2ROPE Advances 3D Multimodal Reasoning
Image

C^2ROPE Advances 3D Multimodal Reasoning

C^2ROPE enhances Rotary Position Embedding for 3D Large Multimodal Models by addressing spatial locality loss and long-term attention decay. It introduces spatio-temporal continuous positional embeddings using triplet hybrid indices and Chebyshev Causal Masking.

ArXiv AI · 215d ago

BNRM Prevents Reward Hacking in RLHF
Models

BNRM Prevents Reward Hacking in RLHF

BNRM introduces Bayesian non-negative reward modeling to combat reward hacking in RLHF. It uses sparse latent factors for disentangled, debiased rewards.

ArXiv AI · 215d ago

Blockwise Advantages for Multi-Objective RL
Research

Blockwise Advantages for Multi-Objective RL

Introduces Blockwise Advantage Estimation for GRPO in structured generations, assigning per-objective advantages to avoid interference. Uses Outcome-Conditioned Baseline to estimate advantages without nested rollouts.

ArXiv AI · 215d ago

Benchmark Tests TSFMs on Energy Loads
Research

Benchmark Tests TSFMs on Energy Loads

Multi-dimensional zero-shot benchmark evaluates four TSFMs (Chronos, Moirai, TinyTimeMixer) vs. baselines on ERCOT data.

ArXiv AI · 215d ago

Benchmark for Self-Evolving Coding LLMs
Coding

Benchmark for Self-Evolving Coding LLMs

EvoCodeBench evaluates LLM-driven coding systems on self-evolution, efficiency, and human-comparable performance across languages. Tracks dynamics like solving time and improvements over iterations.

ArXiv AI · 215d ago

Auto-Shaping Rewards for Robust Control
Research

Auto-Shaping Rewards for Robust Control

Proposes causal reward shaping from offline data for continuous RL under confounders. Derives tight value bounds via causal Bellman equation for PBRS.

ArXiv AI · 215d ago

Authenticated Workflows Secure Agentic AI
Infrastructure

Authenticated Workflows Secure Agentic AI

Introduces authenticated workflows as a complete trust layer for enterprise agentic AI, protecting prompts, tools, data, and context. Enforces intent and integrity via cryptography and MAPL policy language.

ArXiv AI · 215d ago

AugVLA-3D Boosts VLA with Depth Augmentation
Applications

AugVLA-3D Boosts VLA with Depth Augmentation

AugVLA-3D integrates depth estimation from RGB inputs via VGGT to enrich 3D features in vision-language-action models. An action assistant module ensures consistency with control tasks.

ArXiv AI · 215d ago

AudioRouter Boosts LALMs via RL Tool Use
Audio

AudioRouter Boosts LALMs via RL Tool Use

AudioRouter applies RL to teach large audio language models (LALMs) when to use external audio tools, improving fine-grained perception without heavy training. It optimizes a lightweight routing policy while freezing the base model.

ArXiv AI · 215d ago

Aletheia Powers Autonomous Math Research
Research

Aletheia Powers Autonomous Math Research

Aletheia is a math research agent that generates, verifies, and revises solutions using advanced Gemini Deep Think. It achieves milestones like fully AI-generated papers, human-AI collaborations, and solving four open Erdos problems.

ArXiv AI · 215d ago

AI-PACE Framework Boosts Medical AI Education
Applications

AI-PACE Framework Boosts Medical AI Education

AI-PACE synthesizes literature to propose a framework for integrating AI into medical education across the learning continuum. It identifies key competencies, curricular approaches, and strategies emphasizing longitudinal integration and interdisciplinary collaboration.

ArXiv AI · 215d ago

AI Fails Basic Arithmetic Despite Advanced Math Wins
Models

AI Fails Basic Arithmetic Despite Advanced Math Wins

Frontier AI models excel in advanced math but consistently fail at multi-digit integer addition. Errors primarily stem from operand misalignment or carry failures, explaining most mistakes in top models like Claude, GPT, and Gemini.

ArXiv AI · 215d ago

AgentTrace Enables AI Agent Observability
Infrastructure

AgentTrace Enables AI Agent Observability

AgentTrace instruments LLM agents for structured logging across operational, cognitive, and contextual traces. Provides runtime transparency for security and monitoring in high-stakes settings.

ArXiv AI · 215d ago

Affordances Build Partial LLM World Models
Models

Affordances Build Partial LLM World Models

Proves LLMs possess predictive partial-world models via task-agnostic affordances for intents. Introduces distribution-robust affordances for multi-task efficiency.

ArXiv AI · 215d ago

Adversarial Threat Detection in Autonomous Driving
Applications

Adversarial Threat Detection in Autonomous Driving

AD² analyzes vulnerabilities in end-to-end driving agents like Transfuser to physics, EMI, and digital attacks in CARLA. Driving scores drop up to 99% under threats.

ArXiv AI · 215d ago

Adapters Unlock Reliable Self-Interpretation
Models

Adapters Unlock Reliable Self-Interpretation

Lightweight adapters trained on interpretability artifacts enable reliable self-interpretation in frozen LMs. A simple scalar affine adapter outperforms baselines in feature labeling, topic identification, and implicit reasoning decoding.

ArXiv AI · 215d ago

ADAlign Auto-Adapts Graph Domains
Research

ADAlign Auto-Adapts Graph Domains

ADAlign tackles graph domain adaptation by adaptively aligning discrepancies via Neural Spectral Discrepancy (NSD). Uses neural characteristic functions and minimax sampling without heuristics.

ArXiv AI · 215d ago

1% Params Beat Full Fine-Tuning
Image

1% Params Beat Full Fine-Tuning

CoLin introduces a 1% parameter low-rank complex adapter for vision foundation models. It resolves convergence issues in composite matrices with tailored loss.

ArXiv AI · 215d ago

AI Siri Before Cook Retires?
Business

AI Siri Before Cook Retires?

The article questions whether Apple's AI-upgraded Siri will launch before CEO Tim Cook retires. It emphasizes that while delays are tolerable, outright failure is unacceptable.

Ifanr (爱范儿) · 215d ago

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