Linear Probing Llms, 2. We propose using linear Request PDF | On Sep 1, 2025, Luis Ibanez-Lissen and others published LPASS: Linear Probes as Stepping Stones for vulnerability detection using compressed LLMs | Find, read and cite all the Finally, inspired by~\citet {choi2023understanding} that mutual information estimation is bounded by linear probing accuracy, we also probe LLMs with mutual information to investigate the The rapid development of large language models (LLMs) has driven significant advancements in various applications. Tile color maps to acceptance rate. We propose The enormous gain of graph probing validates the hypothesis that neural topology contains much richer information of LLMs’ language gen-eration performance than neural activation, which can be easily The increasing parameters and expansive dataset of large lan- guage models (LLMs) highlight the urgent demand for a technical solution to audit the underlying privacy risks and In this study, we delve into the mechanistic workings of state-of-the-art, fine-tuning-based passage-reranking transformer networks. We employ a probing-based analysis to examine neuron activations in rank This paper shows how LLMs carry a latent correctness signal in their activations, detected via linear probes, enabling early identification of errors. For the sake of efficiency and effectiveness, compression Linear Probe Penalties Reduce LLM Sycophancy: Paper and Code. See here for a summary thread. Press [S] or click gear In this work, we probe LLMs from a human behavioral perspective, correlating values from LLMs with eye-tracking measures, which are widely Large Language Models (LLMs) are increasingly used in a variety of applications, but concerns around membership inference have grown in parallel. Previous e!orts focus on black-to Abstract Large Language Models (LLMs) are being extensively used for cybersecurity purposes. While this means that personality frameworks would be highly Abstract Large Language Models (LLMs) have started to demonstrate the ability to persuade humans, yet our understanding of how this dynamic transpires is limited.
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