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Research

Benign interpolation and Occam's razor

DGX agent

arXiv:2608.03386v1 Announce Type: new Abstract: Contemporary deep learning methods generalize well even when they fit their training data perfectly, a phenomenon known as benign interpolation. This ph

researcharxiv-cs-lg

5 Aug 2026

Applications

Search: “models”

Benign interpolation and Occam's razor

Beyond Average Performance: Dynamic Instance Clustering and Specialized Algorithm Design in LLM-Assisted Evolutionary Search

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement

Character Iconicity vs. Arbitrariness: An Arabic NLP Perspective

Compound and Parallel Modes of Tropical Convolutional Neural Networks

Continue or Replan? Bernoulli-Continuation Policy Learning for Adaptive Horizon Execution

DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers

DocTrace: Towards Traceable Long Document VQA via Hierarchical Evidence Graph Reasoning

Don't Regenerate, Debug: A Domain-Specific Agent for Repairing Near-Miss Hardware Operators

DRIFT: Derailing Denoising Trajectories of Flow-Matching VLAs with Adversarial Patch Attack

Enhancing Q-Value Updates in Deep Q-Learning via Successor-State Prediction

Equivariant Music Transformer

Formal Verification of Agentic Systems over Operational Data

FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation

GenOS: Compositional Certificates for Semantic Robustness in AI Code Generation

HERO: Hierarchical Evidential Reasoning Optimization for Radiology Report Generation via Reason-then-Summarize

Hi-TTRL: Regulating Consensus with Hints for Test-Time Reinforcement Learning

HomoEnsNER: Does Language Alignment Outperform Architectural Complexity in Gujarati Named Entity Recognition?

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks

Implementing Causal Perception: Competing SCMs and Situated Fairness

Interpretable Adaptive Sampling for LLM Test-Time Scaling

Lightweight 3D Object Detection via Mamba-Based Knowledge Distillation

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving

Measuring Explainer Stability via Attribution Separability

Mechanism of Task-oriented Information Removal in In-context Learning

Micro-Segmentation Anomaly Detection in Zero-Trust Software-Defined Network Fabrics

MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification

MuEvo: LLM-Driven Evolution of Multi-Heuristic Ensemble

Multi-Camera Trajectory Forecasting with Trajectory Tensors

Paired Recipient-based Evaluation of Survival Prediction for Deceased Donor Kidney Transplants

Pivot-Centric Trajectory Prediction: Bridging Long Horizons via Dynamical Guidance

PixelUp: Zero-Shot Semantic Feature Upsampling for Fine-Grained Vision Tasks

Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variate

Residual Flow Matching with Dynamic Cross-Interaction for 3D Multi-Person Motion Prediction

Rethinking Modality Reliability in Multimodal Sentiment Analysis with Incomplete Observations

RoboReact: Agentic Skill Distillation from Generated Egocentric Videos for Generalizable Whole-Body Manipulation

Schedule-Informed Temporal Fusion Forecasting of Hourly Airport Security-Checkpoint Throughput

SGFormer: Structure-Guided Transformer for Robust Local Feature Matching

Sparse Weight Decomposition for Efficient Circuit Extraction

Speech LLMs in Low-Resource Scenarios: Data Volume Requirements and the Impact of Pretraining on High-Resource Languages

StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation

TaskPress: Query-Agnostic KV Cache Compression via Task-Guided Pruning

Test Time Adaptation Methods for Point Cloud Registration in Laparoscopic Surgery

Test-Time Scaling for Safe Text-Guided Image Generation via Intermediate Clean Estimates

The Eloquence team submission for task 1 of MLC-SLM challenge

The Evolutionary Origin of Values: implications for AI alignment, sentience and existential risk

The Signal Horizon: Local Blindness and the Contraction of Pauli-Weight Spectra in Noisy Quantum Encodings

The Transformer Revolution, Part 1: Dynamic Processing through Output- Weight Interconnections