Residual Stream Analysis of Overfitting And Structural Disruptions
arXiv:2603.13318v1 Announce Type: cross Abstract: Ensuring that large language models (LLMs) remain both helpful and harmless poses a significant challenge:…
arXiv:2603.13318v1 Announce Type: cross Abstract: Ensuring that large language models (LLMs) remain both helpful and harmless poses a significant challenge:…
arXiv:2603.15262v1 Announce Type: new Abstract: Modern e-commerce search is evolving to resolve complex user intents. While Large Language Models (LLMs)…
arXiv:2603.15054v1 Announce Type: new Abstract: Effective communication is pivotal for addressing complex collaborative tasks in multi-agent reinforcement learning (MARL). Yet,…
arXiv:2603.15381v1 Announce Type: new Abstract: We critically examine the limitations of current AI models in achieving autonomous learning and propose…
arXiv:2603.14628v1 Announce Type: cross Abstract: Neurosymbolic approaches leveraging Large Language Models (LLMs) with formal methods have recently achieved strong results…
arXiv:2603.14629v1 Announce Type: cross Abstract: ResearchPilot is an open-source, self-hostable multi-agent system for literature-review assistance. Given a natural-language research question,…
arXiv:2603.12983v2 Announce Type: replace-cross Abstract: Error Span Detection (ESD) is a crucial subtask in Machine Translation (MT) evaluation, aiming to…
arXiv:2603.06767v2 Announce Type: replace-cross Abstract: Over the past decade, Artificial Intelligence has significantly advanced, mostly driven by large-scale neural approaches.…
arXiv:2601.20432v2 Announce Type: replace-cross Abstract: Audio watermarking embeds auxiliary information into speech while maintaining speaker identity, linguistic content, and perceptual…
Nature Machine Intelligence, Published online: 17 March 2026; doi:10.1038/s42256-026-01200-4 Guo et al. train a Mamba-based language model for molecule generation…