LLM Agents
Researchers introduce a new benchmark for evaluating how general LLM agents perform when given additional compute resources at inference time, addressing a critical gap in agent evaluation.
LLM Research
New research introduces DAJ, a data-reweighting approach for LLM judges that improves test-time scaling in code generation by better identifying correct solutions.
LLM Research
New research introduces test-time policy evolution to scale LLM reasoning without additional training, enabling models to dynamically improve their problem-solving strategies during inference.