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CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models
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CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models

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Investigating Driver Behavior in Complex Traffic Situations While Driving Partially Automated Vehicles
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Investigating Driver Behavior in Complex Traffic Situations While Driving Partially Automated Vehicles

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Chatlog
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Chatlog

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MosaicKV Serving Long-Context LLM with Dynamic Two-D KV Cache Compression
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MosaicKV Serving Long-Context LLM with Dynamic Two-D KV Cache Compression

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Exploring the Semantic Gap in Agentic Data Systems
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Exploring the Semantic Gap in Agentic Data Systems

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Recovering Input Text from Hidden States Study of Gradient-Based Inversion of Decoder-Only Language Models
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Recovering Input Text from Hidden States Study of Gradient-Based Inversion of Decoder-Only Language Models

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LRAT-Catcher: Importing SAT Solver Certificates into Lean 4 by Reflection
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LRAT-Catcher: Importing SAT Solver Certificates into Lean 4 by Reflection

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Phantom References Hallucinated Citations That Survive Peer Review at Top-Tier Conferences
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Phantom References Hallucinated Citations That Survive Peer Review at Top-Tier Conferences

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25
Mobile Base Station Positioning in Smart Ports Based on Kriged Sparse Measurements and Obstacle Inference
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Mobile Base Station Positioning in Smart Ports Based on Kriged Sparse Measurements and Obstacle Inference

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Which Voting Rules Are More Resilient to Coalitional Manipulation
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Which Voting Rules Are More Resilient to Coalitional Manipulation

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What Survives Into Context: A Diagnostic for Budget-Constrained Multi-Hop RAG and When Submodular Evidence Packing Improves It
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What Survives Into Context: A Diagnostic for Budget-Constrained Multi-Hop RAG and When Submodular Evidence Packing Improves It

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32
CA Blockbuster Archana KL Day 85
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CA Blockbuster Archana KL Day 85

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34
Latency-Sensitive 5G RAN Slicing for Industry 4.0
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Latency-Sensitive 5G RAN Slicing for Industry 4.0

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Detecting the Undetectable: Enhancing Unsupervised Time Series Anomaly Detection via Active Learning
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Detecting the Undetectable: Enhancing Unsupervised Time Series Anomaly Detection via Active Learning

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22
From Real Time Planning to Reliable Execution Scalable Coordination for Heterogeneous Multi Robot Fleets in Industrial Environments
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From Real Time Planning to Reliable Execution Scalable Coordination for Heterogeneous Multi Robot Fleets in Industrial Environments

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