Follow the Gradient: Tracing Safety Degradation Back to Training Data Paper • 2610.37481 • Published 8 days ago • 30 • 3
Broken on Arrival: Non-Functional Quantized LLM Artifacts in Public Model Registries and How to Catch Them Paper • 2609.05881 • Published 10 days ago • 7 • 7
Broken on Arrival: Non-Functional Quantized LLM Artifacts in Public Model Registries and How to Catch Them Paper • 2609.05881 • Published 10 days ago • 7 • 7
Channel Selection for Mixture-of-Experts Decoding Needs No Calibration Data Paper • 2610.37386 • Published 8 days ago • 25 • 6
Extreme Compression of Per-Layer Embeddings via Cross-Layer Latent Vector Quantization Paper • 2610.31309 • Published 13 days ago • 13 • 7
Agent Mosaic: Recognizing Confidentiality Leaks in Agentic LLM Systems Paper • 2610.30418 • Published 14 days ago • 21 • 11
Trust Mechanisms for Offline Generative AI at the Edge: A Connectivity-Regime Framework and an Empirical Study on a Raspberry Pi 5 Paper • 2610.33732 • Published 11 days ago • 4 • 13
Constrained Decoding: Harmful or Beneficial? Revisiting Its Impact on LLM Performance Paper • 2610.35328 • Published 9 days ago • 6 • 6
Constrained Decoding: Harmful or Beneficial? Revisiting Its Impact on LLM Performance Paper • 2610.35328 • Published 9 days ago • 6 • 6
Channel Selection for Mixture-of-Experts Decoding Needs No Calibration Data Paper • 2610.37386 • Published 8 days ago • 25 • 6
ThinkBit: Search Codewords, Recalibrate Scales, Select by Reasoning Paper • 2610.34886 • Published 9 days ago • 3 • 3
Beyond Benchmarks: Can Small Open-Weight Models Get Real Coding Work Done? Paper • 2610.34241 • Published 10 days ago • 9 • 7