Research Reveals Conformity Bias in RAG: Majority of Poisoned Evidence Reduces Detection Rates
A study published on arXiv investigates the performance of Retrieval-Augmented Generation …
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A study published on arXiv investigates the performance of Retrieval-Augmented Generation …
LLMs & Foundation Models· 2026-11-02
TensorSSM is a novel Implicit Neural Representation (INR) that leverages a dynamic State S…
Research & Papers· 2026-11-02
A new study published on arXiv introduces an algorithm to achieve near-optimal first-order…
LLMs & Foundation Models· 2026-11-02
arXiv has introduced FARO, a novel optimizer designed to address compute bottlenecks in tr…
Research & Papers· 2026-11-02
A new arXiv study delves into the catastrophic forgetting problem faced by Scientific Foun…
Research & Papers· 2026-11-02
arXiv has introduced AutoHebb, a novel neural network architecture designed to achieve zer…
LLMs & Foundation Models· 2026-11-02
arXiv introduces Certified Anchor-Based Adaptation (CABA), a novel framework for continual…
LLMs & Foundation Models· 2026-11-02
arXiv has released LIDFS, a novel unsupervised feature selection method designed to addres…
Research & Papers· 2026-11-02
arXiv introduces the Task-Aware Diffusion Refiner (TADR), a novel approach to address data…
Research & Papers· 2026-11-02
arXiv has released a new research paper introducing PoSE (Posterior Sampling for State Est…
LLMs & Foundation Models· 2026-11-02
arXiv has released BILAL-BENCH, a new benchmark designed to evaluate large language models…
LLMs & Foundation Models· 2026-11-02
A new arXiv study demonstrates that pruning a substantial fraction of redundant attention …