Model Detail
Intern-S1-Pro
—Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
arXiv:2603.25040v2 Announce Type: replace-cross Abstract: We introduce Intern-S1-Pro, the first one-trillion-parameter scientific multimodal foundation model. Scaling to this unprecedented size, the model delivers a comprehensive enhancement across both general and scientific domains. Beyond stronge
SafeRedirect: Defeating Internal Safety Collapse via Task-Completion Redirection in Frontier LLMs
arXiv:2604.20930v1 Announce Type: cross Abstract: Internal Safety Collapse (ISC) is a failure mode in which frontier LLMs, when executing legitimate professional tasks whose correct completion structurally requires harmful content, spontaneously generate that content with safety failure rates exceed
ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
arXiv:2511.06209v5 Announce Type: replace Abstract: LLMs can solve complex tasks by generating long, multi-step reasoning chains. Test-time scaling (TTS) can further improve performance by sampling multiple variants of intermediate reasoning steps, verifying their correctness, and selecting the best
Engaged AI Governance: Addressing the Last Mile Challenge Through Internal Expert Collaboration
arXiv:2604.21554v1 Announce Type: new Abstract: Under the EU AI Act, translating AI governance requirements into software development practice remains challenging. While AI governance frameworks exist at industry and organizational levels, empirical evidence of team-level implementation is scarce. W
Model Internal Sleuthing: Finding Lexical Identity and Inflectional Features in Modern Language Models
arXiv:2506.02132v5 Announce Type: replace-cross Abstract: Large transformer-based language models dominate modern NLP, yet our understanding of how they encode linguistic information relies primarily on studies of early models like BERT and GPT-2. We systematically probe 25 models from BERT Base to
Physics-Conditioned Synthesis of Internal Ice-Layer Thickness for Incomplete Layer Traces
arXiv:2604.20783v1 Announce Type: new Abstract: Internal ice layers imaged by radar provide key evidence of snow accumulation and ice dynamics, but radar-derived layer boundary observations are often incomplete, with discontinuous traces and sometimes entirely missing layers, due to limited resoluti
