Mind Control of LLMs via Closed-Loop Stimulation: Out-of-Distribution Robustness
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New papers, breakthroughs and academic AI research
OLIVE: View-Augmented Latent Prediction with Waveform Reconstruction for Speech SSL
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Zero-Shot Coordination among LLM Agents
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SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation
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A.S.E 2.0: Understanding How Repository Context Impacts the Security of LLM-Generated Code
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Today's Work, Tomorrow's Workforce: Incentivizing Learning in AI-Assisted Work
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BudgetSplat: Budget-Controllable Generalizable Gaussian Splatting
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Ab Initio Accuracy Beyond the Cutoff: Distributed Message-Passing Equivariant Attention at Tens-of-Millions-of-Atom Scale
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The Split Protocol Decides the Result: Re-Evaluating Encrypted Traffic Classification
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Learning to Tune with Biased Gradients: Iterative Feedback Tuning of Model-Free Control on Throttle Valves
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Rubric Curriculum RL: Exploiting the Generation-Verification Gap in Non-Verifiable Domains
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When Does Risk-Controlled Throughput Forecasting Actually Control Risk? A Reproduction Study on LEO Satellite Link
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