arXiv
GEMS: Molecular Structure Elucidation as Learned Search over Isomer Graphs
Identifying small-molecule structures from molecular formulas and tandem mass spectra remains a bottleneck in untarge...
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arXiv
PresenceBench: An Exploratory Evaluation of Large Language Model Adaptation to User State
Presence-aware intelligence is the capacity of an AI system's intelligence layer to adapt appropriately to the functi...
arXiv
TUPLE-Bench: Evaluating and Mitigating Privacy-Utility Trade-offs in Typed Decision Models
Typed decision models often return more than a selected category. They also expose probabilities for each candidate a...
arXiv
OwlSight: A Panoramic Monitor for Chain-of-Thought Reasoning
Chain-of-Thought (CoT) monitoring offers actionable evidence for oversight AI systems, with the potential to enable e...
arXiv
On the possibilities and limitations of LLM-based multi-agent systems for multi-criteria decision-making in healthcare operations management
Multi-criteria models for healthcare operations need weights that express how stakeholders trade off patient waiting ...
arXiv
GLOBE: Evolving Structured Agentic Memory for E-commerce Product Optimization in Generative Search
Optimizing product listings for generative search requires language agents not only to rewrite effectively but also t...
arXiv
Neural Expansion: A Unified Mechanism for How Deep Neural Networks Generalize
Deep neural networks demonstrate remarkable generalization despite being highly over-parameterized, challenging tradi...
arXiv
Beyond Large Language Models: A Mental World Model Framework for Mental Modeling, Simulation, Evolution, and Interpretability
Understanding and simulating how subjective cognition and mental states emerge, evolve, and shape behavior is essenti...
arXiv
DrugHarness: An Evolvable Agent Harness for Computational Drug Discovery
Computational drug discovery requires agents to compose scientific operations and adapt to changing evidence and cons...
arXiv
FuTransformer: FP8 prefill and INT4 decode for Llama-style inference on Hopper
Transformer prefill reuses weights across tokens and is dominated by matrix multiplication and activation data moveme...
arXiv
Beyond SAEs: Consistent Concept Discovery with Sparse Coding
Sparse autoencoders (SAEs) explain foundation model representations by decomposing activations into sparse combinatio...
arXiv
Self-Building Labs
Self-driving laboratories (SDLs) accelerate scientific discovery by automating experimental execution and optimizatio...