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Local Ai

TabSHAP

DGX agent

arXiv:2604.21120v1 Announce Type: cross Abstract: Large Language Models (LLMs) fine-tuned on serialized tabular data are emerging as powerful alternatives to traditional tree-based models, particularl

local-aiarxiv-cs-cl

24 Apr 2026

Research

TAPO-Description Logic for Information Behavior: Refined OBoxes, Inference, and Categorical Semantics

DGX agent

arXiv:2604.21172v1 Announce Type: cross Abstract: This paper develops a refined version of TAPO-description logic for the analysis of information behavior. The framework is treated not as a single hom

All entries

TabSHAP

TAPO-Description Logic for Information Behavior: Refined OBoxes, Inference, and Categorical Semantics

Task-Driven Co-Design of Heterogeneous Multi-Robot Systems

Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation

Teacher-Guided Routing for Sparse Vision Mixture-of-Experts

TEMA: Anchor the Image, Follow the Text for Multi-Modification Composed Image Retrieval

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics

Temporal Prototyping and Hierarchical Alignment for Unsupervised Video-based Visible-Infrared Person Re-Identification

Temporal Taskification in Streaming Continual Learning: A Source of Evaluation Instability

Ternary Memristive Logic: Hardware for Reasoning Realized via Domain Algebra

The AI Criminal Mastermind

The CriticalSet problem: Identifying Critical Contributors in Bipartite Dependency Networks

The Economics of p(doom): Scenarios of Existential Risk and Economic Growth in the Age of Transformative AI

The Effect of Idea Elaboration on the Automatic Assessment of Idea Originality

The Feedback Hamiltonian is the Score Function: A Diffusion-Model Framework for Quantum Trajectory Reversal

The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview

The Last Harness You'll Ever Build

The Path Not Taken: Duality in Reasoning about Program Execution

The Recurrent Transformer: Greater Effective Depth and Efficient Decoding

The Root Theorem of Context Engineering

The Sample Complexity of Multicalibration

There Will Be a Scientific Theory of Deep Learning

Thinking Like a Botanist: Challenging Multimodal Language Models with Intent-Driven Chain-of-Inquiry

Thinking with Reasoning Skills: Fewer Tokens, More Accuracy

'This Wasn't Made for Me': Recentering User Experience and Emotional Impact in the Evaluation of ASR Bias

Time, Causality, and Observability Failures in Distributed AI Inference Systems

TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting

TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale

To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning

Tool Attention Is All You Need: Dynamic Tool Gating and Lazy Schema Loading for Eliminating the MCP/Tools Tax in Scalable Agentic Workflows

Toward a Multi-Layer ML-Based Security Framework for Industrial IoT

Toward Efficient Membership Inference Attacks against Federated Large Language Models: A Projection Residual Approach

Towards a Systematic Risk Assessment of Deep Neural Network Limitations in Autonomous Driving Perception

Towards Multimodal Active Learning: Efficient Learning with Limited Paired Data

Towards Universal Tabular Embeddings: A Benchmark Across Data Tasks

TRACES: Tagging Reasoning Steps for Adaptive Cost-Efficient Early-Stopping

TraceScope: Interactive URL Triage via Decoupled Checklist Adjudication

Transfer Learning for Loan Recovery Prediction under Distribution Shifts with Heterogeneous Feature Spaces

Transferable Physics-Informed Representations via Closed-Form Head Adaptation

Transferable SCF-Acceleration through Solver-Aligned Initialization Learning

Transformer-Progressive Mamba Network for Lightweight Image Super-Resolution

Transient Turn Injection: Exposing Stateless Multi-Turn Vulnerabilities in Large Language Models

TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks

Trust but Verify: Introducing DAVinCI -- A Framework for Dual Attribution and Verification in Claim Inference for Language Models

Trust-SSL: Additive-Residual Selective Invariance for Robust Aerial Self-Supervised Learning

Trustworthy Clinical Decision Support Using Meta-Predicates and Domain-Specific Languages

Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation

Tuning for TraceTarnish: Techniques, Trends, and Testing Tangible Traits