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Learning to Interpret Weight Differences in Language Models
arXiv:2510.05092v3 Announce Type: replace-cross Abstract: Finetuning (pretrained) language models is a standard approach for updating...
Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment
arXiv:2508.07750v1 Announce Type: cross Abstract: Alignment methodologies have emerged as a critical pathway for enhancing...
Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models
arXiv:2509.21155v2 Announce Type: replace Abstract: For an LLM to correctly respond to an instruction it...
Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
arXiv:2509.22646v1 Announce Type: cross Abstract: Can humans identify AI-generated (fake) videos and provide grounded reasons?...
Learning from Self Critique and Refinement for Faithful LLM Summarization
arXiv:2512.05387v1 Announce Type: new Abstract: Large Language Models (LLMs) often suffer from hallucinations: output content...
Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness
arXiv:2604.21235v1 Announce Type: cross Abstract: Multimodal clinical records contain structured measurements and clinical notes recorded...
Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning
arXiv:2509.22601v3 Announce Type: replace-cross Abstract: Reinforcement learning (RL) is the dominant paradigm for sharpening strategic...
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...
