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Benchmarking

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Graph Attention-based Decentralized Actor-Critic for Dual-Objective Control of Multi-UAV Networks

Tactile MNIST: Benchmarking Active Tactile Perception

B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data

SenseShift6D: Multimodal RGB-D Benchmarking for Robust 6D Pose Estimation across Environment and Sensor Variations

A Comprehensive Benchmark of Computational Models for Antibody--Antigen Binding Affinity

GAnnET: A principled approach to automatically annotating charge stability diagrams

Visual Place Recognition for Large-Scale UAV Applications

MUPAX: Multidimensional Problem Agnostic eXplainable AI

Disentangling coincident cell events using deep transfer learning and compressive sensing

Training Transformers with Enforced Lipschitz Constants

DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition

A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion

DCR: Quantifying Data Contamination in LLMs Evaluation

FLsim: A Modular and Library-Agnostic Simulation Framework for Federated Learning

DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering

MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking

Benchmarking and Evaluation of AI Models in Biology: Outcomes and Recommendations from the CZI Virtual Cells Workshop

CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks

CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance

Ref-Long: Benchmarking the Long-context Referencing Capability of Long-context Language Models

Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift

Identifying the Smallest Adversarial Load Perturbations that Render DC-OPF Infeasible

Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset

Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning

Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study

SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads

A Systematic Analysis of Hybrid Linear Attention

Inaugural MOASEI Competition at AAMAS'2025: A Technical Report

LLMThinkBench: Towards Basic Math Reasoning and Overthinking in Large Language Models

GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning

STRUCTSENSE: A Task-Agnostic Agentic Framework for Structured Information Extraction with Human-In-The-Loop Evaluation and Benchmarking

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data

LANTERN: A Machine Learning Framework for Lipid Nanoparticle Transfection Efficiency Prediction

CORE: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks

TransLaw: Benchmarking Large Language Models in Multi-Agent Simulation of the Collaborative Translation

State and Memory is All You Need for Robust and Reliable AI Agents

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