2026-03-12

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KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization
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MASEval: Extending Multi-Agent Evaluation from Models to Systems
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MoE-SpAc: Efficient MoE Inference Based on Speculative Activation Utility in Heterogeneous Edge Scenarios
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Meissa: Multi-modal Medical Agentic Intelligence
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DataFactory: Collaborative Multi-Agent Framework for Advanced Table Question Answering
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IH-Challenge: A Training Dataset to Improve Instruction Hierarchy on Frontier LLMs
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AgentOS: From Application Silos to a Natural Language-Driven Data Ecosystem
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LDP: An Identity-Aware Protocol for Multi-Agent LLM Systems
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Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search
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MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games
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Real-Time Trust Verification for Safe Agentic Actions using TrustBench
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Explainable LLM Unlearning Through Reasoning
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Training Language Models via Neural Cellular Automata
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SciTaRC: Benchmarking QA on Scientific Tabular Data that Requires Language Reasoning and Complex Computation
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Learning When to Sample: Confidence-Aware Self-Consistency for Efficient LLM Chain-of-Thought Reasoning
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Reading, Not Thinking: Understanding and Bridging the Modality Gap When Text Becomes Pixels in Multimodal LLMs
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HMR-1: Hierarchical Massage Robot with Vision-Language-Model for Embodied Healthcare
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Interpretable Markov-Based Spatiotemporal Risk Surfaces for Missing-Child Search Planning with Reinforcement Learning and LLM-Based Quality Assurance
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Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability
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Resource-constrained Amazons chess decision framework integrating large language models and graph attention
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