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A deterministic and reproducible e-commerce environment is built that precommits each trial's customer and trajectory parameters, including the persona, difficulty, target cart, and an item reveal schedule, and the resulting capability profiles distinguish under-action, over-purchase, unsupported product attributes, an...
This work introduces answer-distribution trajectories, a stochastic-dynamics-inspired representation that tracks the model's full predictive distribution over answers as reasoning unfolds, and suggests that answer-distribution trajectories provide a rich framework for analysing and evaluating the dynamics of LLM reason...
This work evaluates native and retrofitted looped language models on API-Bank, BFCL, and NESTful, comparing looped and non-looped models trained under matched supervised fine-tuning recipes and varying recurrent depth at inference time to suggest that looped language models are a promising architecture for agentic syst...
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