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China delivers a one-two punch to America’s AI dominance5h◆AI is more likely than humans to form biases when hiring6h◆Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal11h◆SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents11h◆PolyInterview: An LLM-based Platform for Immersive Mock Interview Practice with Comprehensive Multimodal Assessment11h◆Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length11h◆Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications11h◆DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales11h◆Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors11h◆CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data11h◆cGAP: Generalized Association Plots with HOMALS-Guided Heatmaps for Visualization of High-Dimensional Categorical Data11h◆Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?11h◆Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes11h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems11h◆Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI11h◆The AI Fiction Paradox11h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents11h◆EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections11h◆Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery11h◆How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI11h◆China delivers a one-two punch to America’s AI dominance5h◆AI is more likely than humans to form biases when hiring6h◆Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal11h◆SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents11h◆PolyInterview: An LLM-based Platform for Immersive Mock Interview Practice with Comprehensive Multimodal Assessment11h◆Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length11h◆Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications11h◆DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales11h◆Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors11h◆CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data11h◆cGAP: Generalized Association Plots with HOMALS-Guided Heatmaps for Visualization of High-Dimensional Categorical Data11h◆Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?11h◆Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes11h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems11h◆Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI11h◆The AI Fiction Paradox11h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents11h◆EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections11h◆Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery11h◆How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI11h◆
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