The Undetected Damage of Quantization on Retrieval and How to Fix It
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New papers, breakthroughs and academic AI research
Prescriptive SVD-Inspired Attention via Spectral Energy Retention
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VibeMemBench: Evaluating Memory Systems for Coding Agents on Real Repository Coding Tasks
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Ananke: Contractive Torus Attractor Networks
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What Makes a Good Medical Image Tokenizer? Rethinking Reconstruction and Generation in Medical Image Tokenization
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MiTHras: Task-specific Hierarchical Semi-supervised Contrastive Masked Autoencoder for Mitotic Figure Analysis
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Long-Tail Rebalancing for Non-Verbal Vocalization-Aware ASR: A Track~1 System for the NVVSpeech Challenge
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Representation-guided in-context learning for medical image interpretation with multimodal large language models
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Latent Telepathy: Multi-Robot Communication with Self-Supervised Perceptual Latents
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ReSTI: A Source-Grounded Audit and Repair of STI-Bench
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MemCalib: Benchmarking and Optimizing Memory Use in LLM Agents
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KV-COBRA: KV Cache Compression via Co-Optimized Bit-Rank Allocation
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