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Understanding Knowledge Dynamics in LLM Explanations with a New Framework

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Anthropic’s Claude AI Demonstrates Limited Introspection in Detecting Injected Concepts

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Uncovering Culture-Specific Neural Pathways in Vision-Language Models

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Unveiling Agent Influence in Collaborative AI Workflows with CAIR

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Decoding the Emotional Core of Large Language Models

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NEUROSYMLAND: Enhancing Drone Safety with Explainable AI for Complex Landings

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ProfileXAI: Tailoring AI Explanations for Every User

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Guiding Language Models to Reflect Diverse Human Values with Causal Reasoning

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ShishuLM: A New Design for Efficient Small Language Models

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Decoding Finetuned LLMs: How Narrow Training Leaves Clear Traces in AI’s Inner Workings

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Navigating the Pitfalls of Concept Grounding in Neuro-Symbolic AI

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The Locality Dial: Bridging Interpretability and Performance in LLMs

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Unlocking Multilingual Control: How LLMs Navigate Languages Through Sparse Internal Dimensions

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Unraveling LLM Hallucinations: A Framework for Tracing Semantic Failures

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The Surprising Disconnect: Interpretability vs. Utility in AI Steering

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Unpacking How Language Models Understand Socio-Political Concepts

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Tracking Truth: A Geometric Framework for Detecting AI Hallucinations

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Teaching AI to Explain Itself: Understanding How Language Models Change After Training

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Decoding Spatial Intelligence in Large Multimodal Models

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Probing LLM Misbehaviors with Positional Encoding Perturbations

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Decoding the Black Box: How AI Explains Itself

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Verifying LLM Reasoning with Proof-Carrying Chain-of-Thought

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Enhancing Medical Image Analysis with Saliency-Guided AI for Longitudinal Studies

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Google DeepMind Director Urges India to Spearhead Deep AI Research

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Enhancing the Resilience of Interpretable AI Models Against Adversarial Attacks

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Atoms Theory: Defining the Core Building Blocks of Large Language Models

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Unveiling Fine-Tuned LLM Behavior with Counterfactual Knowledge Graphs

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Exploring Graph Logic in Decoder-only AI

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New AI Framework Enhances Stuttering Diagnosis with Unprecedented Clarity

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Unlocking Hidden Data Structures: How AI Experts Learn Beyond Human Labels

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