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A Human-Centered Approach to Evaluating Voice AI Testing Platforms

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Web Agents’ Hidden Energy Costs: A Call for Sustainable AI Development

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NEA’s AIxpertise Project Kicks Off First Workshop to Integrate AI in Nuclear Energy

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Platform-Specific Performance of C++ Bitstring Implementations

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AI Judges for E-commerce: Scaling Evaluation of Product Recommendations

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Assessing How Well Large Language Models Understand Real-World Statistics

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TabTune: A Unified Framework for Tabular Foundation Models

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DecompSR: Unpacking How Language Models Reason About Space

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A New Arena for AI Coders: Benchmarking Goal-Oriented Software Development

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OmniBrainBench: A New Benchmark for AI in Brain Imaging Analysis

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Benchmarking LLMs for Cyber Threat Intelligence: Introducing AthenaBench

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Uncovering LLM Weaknesses: New Benchmark Reveals Gaps in Answering Complex, Ambiguous Questions

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QuantumBench: Measuring AI Proficiency in the Quantum Domain

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Enhancing Code Retrieval for Complex Software Changes with a New Benchmark and AI Model

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EnConda-Bench: A New Standard for Evaluating Software Agent Environment Setup

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Large Language Models and Real-World Code: A Reality Check

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Why AI Agents Falter in User Interfaces: A Deep Dive into Missing GUI Knowledge

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Unlocking Survey Data for Large Language Models: The QASU Benchmark

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JetBrains Unveils DPAI Arena: An Open Benchmark for AI Coding Agent Productivity

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Bridging Cultural Gaps: New Benchmark Evaluates LLMs on Open-Ended Arabic Dialect Questions

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Rethinking LLM Evaluation: A European Framework for Cultural and Linguistic Nuance

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Evaluating Agentic Potential in LLMs During Pre-Training with APTBench

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Advancing Chip Design with a New Benchmark for Black-Box Optimization

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Unpacking Nuance: New Benchmarks Evaluate Language Models’ Pragmatic Understanding in Slovene

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A New Standard for Evaluating AI’s Scientific Research Capabilities

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Beyond Shortcuts: Evaluating True Language Understanding in AI

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Assessing AI’s Reasoning Capabilities in Energy System Analysis: A New Benchmark

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A New Standard for Evaluating AI’s Understanding of the World

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Evaluating Fairness in Graph Neural Networks on Knowledge Graphs: A New Benchmark

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Evaluating How AI Agents Handle Mid-Conversation Goal Shifts

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