World models will be the next big thing, bye-bye LLMs
Was at Nvidia's GTC conference recently and honestly, it was one of the most eye-opening events I've attended in a while. There was a lot...
GPT, Claude, Gemini, and other LLMs
Was at Nvidia's GTC conference recently and honestly, it was one of the most eye-opening events I've attended in a while. There was a lot...
hey everyone. been lurking here for a while and wanted to share something we been building. the problem: ai coding agents are only as goo...
Last night I was testing Maestro University, the first fully AI-taught university. I walked into their enrollment chatbot and asked it to...
Abstract page for arXiv paper 2603.20895: LLM Router: Prefill is All You Need
Abstract page for arXiv paper 2603.20808: Predictive Regularization Against Visual Representation Degradation in Multimodal Large Languag...
Abstract page for arXiv paper 2603.20799: RLVR Training of LLMs Does Not Improve Thinking Ability for General QA: Evaluation Method and a...
Abstract page for arXiv paper 2603.20389: A chemical language model for reticular materials design
Abstract page for arXiv paper 2603.20314: VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs
Abstract page for arXiv paper 2603.20219: Thinking into the Future: Latent Lookahead Training for Transformers
Abstract page for arXiv paper 2603.20218: An experimental study of KV cache reuse strategies in chunk-level caching systems
Abstract page for arXiv paper 2603.20215: Multi-Agent Debate with Memory Masking
Abstract page for arXiv paper 2603.20212: Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models
Abstract page for arXiv paper 2603.20217: Expected Reward Prediction, with Applications to Model Routing
Abstract page for arXiv paper 2603.22206: Chimera: Latency- and Performance-Aware Multi-agent Serving for Heterogeneous LLMs
Abstract page for arXiv paper 2603.22184: Revisiting Quantum Code Generation: Where Should Domain Knowledge Live?
Abstract page for arXiv paper 2603.22161: Causal Evidence that Language Models use Confidence to Drive Behavior
Abstract page for arXiv paper 2603.22154: dynActivation: A Trainable Activation Family for Adaptive Nonlinearity
Abstract page for arXiv paper 2603.22017: AdditiveLLM2: A Multi-modal Large Language Model for Additive Manufacturing
Abstract page for arXiv paper 2603.21972: Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe
Abstract page for arXiv paper 2603.21862: Holistic Scaling Laws for Optimal Mixture-of-Experts Architecture Optimization
Abstract page for arXiv paper 2603.21705: Data-Free Layer-Adaptive Merging via Fisher Information for Long-to-Short Reasoning LLMs
Abstract page for arXiv paper 2603.21584: SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models
Abstract page for arXiv paper 2603.21567: Kolmogorov Complexity Bounds for LLM Steganography and a Perplexity-Based Detection Proxy
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