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Rater State Bias in RLHF Preference Data: An Audit Framework When Does Muon Help Agentic Reinforcement Learning? Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones CoEvoP&R: Co-Evolving Placement Objectives with Routing Feedback via Large Language Models Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models
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Rater State Bias in RLHF Preference Data: An Audit Framework

July 21, 2026 Admin
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When Does Muon Help Agentic Reinforcement Learning?

July 21, 2026 Admin
AI RESEARCH

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones

July 21, 2026 Admin
AI RESEARCH

CoEvoP&R: Co-Evolving Placement Objectives with Routing Feedback via Large Language Models

July 21, 2026 Admin
AI RESEARCH

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models

July 21, 2026 Admin
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Rater State Bias in RLHF Preference Data: An Audit Framework
AI RESEARCH
Rater State Bias in RLHF Preference Data: An Audit Framework
When Does Muon Help Agentic Reinforcement Learning?
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When Does Muon Help Agentic Reinforcement Learning?
Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones
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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones
CoEvoP&R: Co-Evolving Placement Objectives with Routing Feedback via Large Language Models
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CoEvoP&R: Co-Evolving Placement Objectives with Routing Feedback via Large Language Models
AI Education: How to Get Ahead in the 21st Century Job Market!
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The Power of NLP: How to Transform Text into Actionable Insights!
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The AI Breakthrough That Could Change the World!
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Rater State Bias in RLHF Preference Data: An Audit Framework
AI RESEARCH
Rater State Bias in RLHF Preference Data: An Audit Framework
When Does Muon Help Agentic Reinforcement Learning?
AI RESEARCH
When Does Muon Help Agentic Reinforcement Learning?
Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones
AI RESEARCH
Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones
CoEvoP&R: Co-Evolving Placement Objectives with Routing Feedback via Large Language Models
AI RESEARCH
CoEvoP&R: Co-Evolving Placement Objectives with Routing Feedback via Large Language Models
AI RESEARCH

OmniFood-Bench: Evaluating VLMs for Nutrient Reasoning and Personalized Health Advice

July 20, 2026 Admin

arXiv:2607.08423v2 Announce Type: replace Abstract: The rapid integration of Large Vision-Language Models (VLMs) into critical infrastructure promises to revolutionize personalized…

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Perception-Aligned AI Outputs: End-to-End Visual Prediction for Uncertainty Communication in Clinical Decision-Making

July 20, 2026 Admin

arXiv:2205.04599v2 Announce Type: replace-cross Abstract: Explainable Artificial Intelligence (XAI) is essential for trustworthy AI in healthcare, yet many existing methods…

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Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research

July 20, 2026 Admin

arXiv:2512.03054v3 Announce Type: replace-cross Abstract: Federated Learning (FL) holds the potential to advance equality in health by enabling diverse institutions…

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Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios

July 20, 2026 Admin

arXiv:2604.06742v2 Announce Type: replace-cross Abstract: The evolution of Large Language Models (LLMs) has catalyzed a paradigm shift towards intent-driven software…

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Analysing Moral Bias in Finetuned LLMs through Mechanistic Interpretability

July 20, 2026 Admin

arXiv:2510.12229v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have been shown to internalize human-like biases during finetuning, yet the…

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GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis

July 20, 2026 Admin

arXiv:2607.15280v1 Announce Type: new Abstract: Sequential diagnosis requires balancing diagnostic accuracy against resource costs through iterative information gathering. Existing Large…

AI RESEARCH

Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents

July 20, 2026 Admin

arXiv:2607.15263v2 Announce Type: replace-cross Abstract: Security-agent evaluations commonly measure peak offensive capability under generous inference budgets, emphasizing vulnerability discovery, exploit…

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ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning

July 20, 2026 Admin

arXiv:2607.16131v1 Announce Type: cross Abstract: Multimodal Scientific Claim Verification (MSCV) requires models to verify scientific claims using visually grounded evidence…

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A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance

July 20, 2026 Admin

arXiv:2607.16130v1 Announce Type: cross Abstract: AI governance increasingly requires judgments about whether an AI system remains adequately trustworthy over time,…

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Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents

July 20, 2026 Admin

arXiv:2607.15095v2 Announce Type: replace-cross Abstract: The formation of political coalitions is a complex negotiation driven by both concrete policy objectives…

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