Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters
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Noticias de IA
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Data Driven Optimization of GPU efficiency for Distributed LLM-Adapter Serving
Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis
Fine-Grained Computation Offload for Off-the-Shelf Servers in Tens of Lines
Vision Token Manipulation Attacks on Cloud-Edge Inference of Large Vision-Language Models
Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Fee…
SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Gener…
RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilit…
QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Fore…
Federated Learning for Object Detection: Enabling Collaborative Drone Learning Without Ce…
NextCrystal: a Symmetry-Driven Generative Framework for Crystal Structure Prediction
Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting
Metronome: Bound the Cache, Keep the Beat for Real-Time Interaction Model Serving
Empirical Computation: Prompting versus Programming
K9-Bench: Evaluating Multimodal LLMs on Canine-Centric Videos
Learning to Discover Iterative Spectral Algorithms
LLMoxie: Exploring Agentic AI for Scientific Software Development
Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models
rePIRL: Learn PRM with Inverse RL for LLM Reasoning
Signal from Space: Detecting Schools and Towers to Bridge the Digital Divide
Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-…
Deriving Neural Scaling Laws from the statistics of natural language
Multi-Way Representation Alignment
Out-of-Distribution Generalization of Risk Aversion in Language Models
FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion
Gemma 4 Technical Report
A Preliminary Study on Explaining Risk of Code Changes using LLM-Based Prediction Models
A Random Matrix Theory Perspective on the Consistency of Diffusion Models
One Framework for All: Cross-Modal Membership Inference for Generative Models
Training Hybrid Block Diffusion Language Models with Partial Bidirectionality