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EVALOOOP: A Self-Consistency-Centered Framework for Assessing Large Language Model Robustness in Programming

arXiv:2505.12185v5 Announce Type: replace-cross Abstract: Evaluating the programming robustness of large language models (LLMs) is...

Europe’s extreme heat is shutting down power plants

Europe is in the middle of a record-breaking heat wave, and the grid is being...

Estranged Predictions: Measuring Semantic Category Disruption with Masked Language Modelling

arXiv:2511.08109v1 Announce Type: new Abstract: This paper examines how science fiction destabilises ontological categories by...

Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models

arXiv:2410.03026v3 Announce Type: replace Abstract: Language models (LMs) rely on their parametric knowledge augmented with...

Estimating LLM Uncertainty with Logits

arXiv:2502.00290v4 Announce Type: replace Abstract: Over the past few years, Large Language Models (LLMs) have...

Establishing AI and data sovereignty in the age of autonomous systems

When generative AI first moved from research labs into real-world business applications, enterprises made a...

Erasing Conceptual Knowledge from Language Models

arXiv:2410.02760v3 Announce Type: replace Abstract: In this work, we introduce Erasure of Language Memory (ELM)...

Epistemic Diversity and Knowledge Collapse in Large Language Models

arXiv:2510.04226v4 Announce Type: replace Abstract: Large language models (LLMs) tend to generate lexically, semantically, and...

EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs

The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through...

Entropy2Vec: Crosslingual Language Modeling Entropy as End-to-End Learnable Language Representations

arXiv:2509.05060v1 Announce Type: new Abstract: We introduce Entropy2Vec, a novel framework for deriving cross-lingual language...

Entropy-Guided Reasoning Compression

arXiv:2511.14258v1 Announce Type: new Abstract: Large reasoning models have demonstrated remarkable performance on complex reasoning...

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