arXiv:2512.05397v2 Announce Type: replace-cross Abstract: Major life transitions demand high-stakes decisions, yet people often struggle to imagine how their future selves will live with the consequences. To support this limited capacity for mental time travel, we introduce AI-enabled digital twins that have “lived through” simulated life scenarios. Rather than predicting optimal outcomes, these simulations extend […]
Going All-In on LLM Accuracy: Fake Prediction Markets, Real Confidence Signals
arXiv:2512.05998v1 Announce Type: new Abstract: Large language models are increasingly used to evaluate other models, yet these judgments typically lack any representation of confidence. This pilot study tests whether framing an evaluation task as a betting game (a fictional prediction market with its own LLM currency) improves forecasting accuracy and surfaces calibrated confidence signals. We […]
CryptoTensors: A Light-Weight Large Language Model File Format for Highly-Secure Model Distribution
arXiv:2512.04580v2 Announce Type: replace-cross Abstract: To enhance the performance of large language models (LLMs) in various domain-specific applications, sensitive data such as healthcare, law, and finance are being used to privately customize or fine-tune these models. Such privately adapted LLMs are regarded as either personal privacy assets or corporate intellectual property. Therefore, protecting model weights […]
Chemistry Integrated Language Model using Hierarchical Molecular Representation for Polymer Informatics
arXiv:2512.06301v1 Announce Type: cross Abstract: Machine learning has transformed material discovery for inorganic compounds and small molecules, yet polymers remain largely inaccessible to these methods. While data scarcity is often cited as the primary bottleneck, we demonstrate that strategic molecular representations can overcome this limitation. We introduce CI-LLM (Chemically Informed Language Model), a framework combining […]
Radiance-Field Reinforced Pretraining: Scaling Localization Models with Unlabeled Wireless Signals
arXiv:2512.07309v1 Announce Type: cross Abstract: Radio frequency (RF)-based indoor localization offers significant promise for applications such as indoor navigation, augmented reality, and pervasive computing. While deep learning has greatly enhanced localization accuracy and robustness, existing localization models still face major challenges in cross-scene generalization due to their reliance on scene-specific labeled data. To address this, […]
DCO: Dynamic Cache Orchestration for LLM Accelerators through Predictive Management
arXiv:2512.07312v1 Announce Type: cross Abstract: The rapid adoption of large language models (LLMs) is pushing AI accelerators toward increasingly powerful and specialized designs. Instead of further complicating software development with deeply hierarchical scratchpad memories (SPMs) and their asynchronous management, we investigate the opposite point of the design spectrum: a multi-core AI accelerator equipped with a […]
Significant Other AI: Identity, Memory, and Emotional Regulation as Long-Term Relational Intelligence
arXiv:2512.00418v2 Announce Type: replace-cross Abstract: Significant Others (SOs) stabilize identity, regulate emotion, and support narrative meaning-making, yet many people today lack access to such relational anchors. Recent advances in large language models and memory-augmented AI raise the question of whether artificial systems could support some of these functions. Existing empathic AIs, however, remain reactive and […]
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs
arXiv:2512.03383v2 Announce Type: replace-cross Abstract: Deploying large language models (LLMs) on mobile platforms faces significant challenges due to the limited memory and shared computational resources of the device. Resource availability may be an issue as it is directly impacted by the current device workload, adding to the uncertainty of model deployment. We introduce UniQL, a […]
ContextAnyone: Context-Aware Diffusion for Character-Consistent Text-to-Video Generation
arXiv:2512.07328v1 Announce Type: cross Abstract: Text-to-video (T2V) generation has advanced rapidly, yet maintaining consistent character identities across scenes remains a major challenge. Existing personalization methods often focus on facial identity but fail to preserve broader contextual cues such as hairstyle, outfit, and body shape, which are critical for visual coherence. We propose textbfContextAnyone, a context-aware […]
When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models
arXiv:2512.04124v2 Announce Type: replace-cross Abstract: Frontier large language models (LLMs) such as ChatGPT, Grok and Gemini are increasingly used for mental-health support with anxiety, trauma and self-worth. Most work treats them as tools or as targets of personality tests, assuming they merely simulate inner life. We instead ask what happens when such systems are treated […]