AI
Beyond Suspicious Steps: Ontological Trust in Long-Horizon Agents
Researchers have proposed a new method for monitoring the behavior of long-horizon agents, which are...
AI
Evaluating the Diversity of AI-Generated Content with Diversity Profiles
Researchers have proposed a new way to evaluate the diversity of AI-generated content called 'divers...
AI
Neuro-symbolic learning over OWL 2 DL via consequence-based compilation to differentiable circuits
Researchers have developed a new method for combining symbolic and neural network-based learning. Th...
AI
The Curious Case of Exploding DecPOMDPs: Containing the Fire through Policy Counting
Researchers have developed a new approach to tackle the complexity of multi-agent decision making un...
AI
D$^2$ACCI: A Dual-Loop Diagnostic Protocol for Evidence-Preserving Agent Memory
Researchers have proposed a new protocol called D$^2$ACCI to improve the diagnos...
AI
StartupBench: Benchmarking General-Purpose Agents on Market-Validated End-to-End Workflows
Researchers have introduced StartupBench, a benchmark for general-purpose agents...
AI
ARASH: Adaptive Retrieval And Shot Selection for Tabular Prediction
Researchers have developed ARASH, a method to improve the efficiency of Tabular ...
AI
AutoResearch: Insight In, Hallucination Out
Researchers have developed AutoResearch, a two-stage system that aims to ensure ...