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On-premise assistants can give factory workers conversational access to machine documentation, but models capable of ...
Training data attribution (TDA) aims to identify training examples that shape model behavior, but its intervention va...
The performance of LLM-based agents is jointly shaped by the base model and the harness used when interacting with th...
People increasingly use language models to support life decisions. Many such decisions involve a probabilistic foreca...
For more than 20 years, the Model-RB benchmark frb100-40 remained an open challenge; since 2014, its public record ha...
Root cause analysis (RCA) is a critical task in telecom network operations, but diagnosing performance degradations i...
Researchers increasingly use artificial intelligence to construct measures of social, organizational, and occupationa...
Competitive programming has become a key test of large language model reasoning, with international competitions such...
Autonomous robots powered by deep learning face a fundamental auditability challenge: when incidents occur, investiga...
Recent web agents use world models for test-time action selection by sampling candidate actions, predicting the resul...
Reinforcement learning with verifiable rewards (RLVR) has emerged as a powerful paradigm for large language model (LL...
Understanding animal motion is fundamental to modeling animal behavior and biomechanics, yet progress in this area la...