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Research & Papers· 2026-11-10#Multimodal LLM#Machine Unlearning#Model Privacy#Self-Distillation#FFN Intervention
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Multimodal large language models can memorize and reproduce sensitive information from bot…
LLMs & Foundation Models· 2026-11-10
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DramaGrow introduces a regime-aware benchmark and audit protocol for LLM judges evaluating…
LLMs & Foundation Models· 2026-11-10
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A benchmark study evaluates decoder-only LLMs—including Llama, Mistral, Gemma, and Phi 4—o…
LLMs & Foundation Models· 2026-11-10
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CoMixKV addresses the KV-cache memory bottleneck that appears when multiple LLM agents rem…
Research & Papers· 2026-11-10
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Researchers introduce R-BiLoGo, a graph-based Transformer surrogate that transfers the res…
Research & Papers· 2026-11-10
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fNIRSAtlas consolidates 19 public functional near-infrared spectroscopy datasets into 23 s…
Research & Papers· 2026-11-10
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The paper introduces uniform discretization stability, a quantitative refinement of discre…
Research & Papers· 2026-11-10
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The paper introduces Selected-Risk Calibration (SRC), a framework that calibrates a learne…
Research & Papers· 2026-11-10
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The 2026 Topological Deep Learning Challenge placed graph neural networks and topological …
Agentic· 2026-11-10
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Causal-Discovery-Bench is a verifiable sandbox for evaluating whether LLM agents can auton…
Research & Papers· 2026-11-10
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MAGE is a multi-timescale foundation model for electroencephalography. Rather than encodin…
LLMs & Foundation Models· 2026-11-10
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BIBIMBAP evaluates language-driven Building Information Modeling as an executable Text-to-…
