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Learn and Unlearn: Addressing Misinformation in Multilingual LLMs
arXiv:2406.13748v3 Announce Type: replace Abstract: This paper investigates the propagation of harmful information in multilingual...
Lean4: How the theorem prover works and why it’s the new competitive edge in AI
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued...
LeakDojo: Decoding the Leakage Threats of RAG Systems
arXiv:2605.05818v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enables large language models (LLMs) to leverage...
LayerNorm and RMS Norm in Transformer Models
This post is divided into five parts; they are: • Why Normalization is Needed in...
Layered Insights: Generalizable Analysis of Authorial Style by Leveraging All Transformer Layers
arXiv:2503.00958v2 Announce Type: replace Abstract: We propose a new approach for the authorship attribution task...
Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation
arXiv:2508.10404v1 Announce Type: new Abstract: With the rapid proliferation of Natural Language Processing (NLP), especially...
Layer-wise Minimal Pair Probing Reveals Contextual Grammatical-Conceptual Hierarchy in Speech Representations
arXiv:2509.15655v1 Announce Type: new Abstract: Transformer-based speech language models (SLMs) have significantly improved neural speech...
Latent Visual Reasoning
arXiv:2509.24251v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) have achieved notable gains in...
Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences
arXiv:2509.16189v3 Announce Type: replace-cross Abstract: When do machine learning systems fail to generalize, and what...
Latent Fusion Jailbreak: Blending Harmful and Harmless Representations to Elicit Unsafe LLM Outputs
arXiv:2508.10029v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate impressive capabilities in various language...
Large reasoning models almost certainly can think
Recently, there has been a lot of hullabaloo about the idea that large reasoning models...
Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
arXiv:2508.10057v1 Announce Type: cross Abstract: This study investigates whether large language models (LLMs) mirror human...
