AI
ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents
Researchers have developed a new benchmark called ComponentBench to evaluate the performance of comp...
AI
Governance Records as Supervision: Verifier-Selected Self-Training for Structured Workflow Repair
Researchers have proposed a method to supervise AI models using governance records generated by mach...
AI
Measuring the Partial-Credit Gap: A Strict Benchmark on Vietnam's 2025 Convex Marking Scheme
A new benchmark called THPT-Ladder has been introduced to evaluate language models on Vietnam's Nati...
AI
A Jagged Frontier: Evaluating Robustness of Code Agents to Semantics-Preserving Transformations
Researchers have evaluated the robustness of AI code agents to superficial changes in code. They fou...
AI
When Clean Signals Are Not Enough: Detecting Structural Ambiguity for Safe Wearable Stress Classification
Researchers have developed a method to detect when wearable devices for stress c...
AI
Improving Natural-Language Combinatorial-Optimization Accuracy in Resource-Constrained Language Models via Formal Abstractions
Researchers have developed a new framework called SDDL that improves the accurac...
AI
FM-Bench: A Benchmark for Long-Horizon Management with Competing Agents
Researchers have created a benchmark called FM-Bench to evaluate the performance...
AI
UMER: Unifying Embedding and Ranking via Pair-Aware Discriminative Reasoning for Universal Multimodal Retrieval
Researchers have proposed a new framework called UMER for universal multimodal r...