Benchmark Everything Everywhere All at Once
Benchmark Everything Everywhere All at Once introduces "Benchmark Agent," a fully autonomous system designed to solve the growing crisis in AI evaluation.
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Benchmark Everything Everywhere All at Once introduces "Benchmark Agent," a fully autonomous system designed to solve the growing crisis in AI evaluation.
ProSarc: Prosody-Aware Sarcasm Recognition Framework via Temporal Prosodic Incongruity ProSarc is an audio-only artificial intelligence framework designed to...
Goedel-Architect is an agentic framework designed to streamline formal theorem proving in Lean 4.
Unsupervised Pattern Analysis in Japanese Veterinary Toxicology: A Regulatory-Compliant Framework for Cross-Species Risk Assessment This research addresses a...
Unsupervised Skill Discovery for Agentic Data Analysis Data-analytic agents—AI systems designed to process data, write code, and generate reports—often strug...
Boosting Brain-to-Image Decoding with TRIBE v2 Data Augmentation Brain-to-image decoding—the process of reconstructing or identifying images based on a perso...
AIS-Based Vessel Trajectory Prediction Using Memory-Augmented Neural Networks Accurate prediction of where a ship will be in the future is vital for maritime...
LLM Self-Recognition: Steering and Retrieving Activation Signatures explores how large language models (LLMs) naturally encode their own identity into the te...
Multi-ResNets for Subspace Preconditioning in Constrained Optimization introduces MResOpt, a new neural network architecture designed to solve complex constr...
Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads explores the growing need for LLM agents to maintain persistent, lo...
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