AI
LongDocBench: Benchmarking TOC Hierarchy and Contextual Relationship Recovery in Long Documents
Researchers have created a new benchmark called LongDocBench to evaluate the ability of AI systems t...
AI
Funnel of Thoughts: Efficient Test-Time Scaling via Early Voting and Rollout Pruning
Researchers have developed a method called Funnel of Thoughts (FoT) to improve the efficiency of lar...
AI
Evo-Harness: Context-to-Harness Skill Compilation for Self-Evolving Agents
Researchers have developed a method called Evo-Harness that allows self-improving large language mod...
AI
Beyond Thresholds: A Quality-Aware Decision Intelligence Framework for Cold Chain IoT Systems
Researchers have developed a decision-making framework for IoT systems in cold chain logistics that ...
AI
StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling
Researchers have developed a new agent-native runtime called StateM that improve...
AI
Validation-Frontier Representation Selection under Constrained Observation
Researchers propose a new method for choosing the best state representation when...
AI
Second-Order Policy Effects as State Transitions: A Source-Linked Benchmark for Policy Simulation
Researchers have developed a new benchmark for evaluating how policies affect co...
AI
Constraint-Aware Synthetic Tabular Data Generation via Inter-Column Constraint Discovery with LLM Agents
Researchers have developed a method to generate synthetic tabular data that adhe...