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MODEL · ENTITY #5314

GPT-5.4

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RESEARCH · 1 SOURCE · arXiv cs.AI

EvoBelief: falsifiable world-model paper for self-improving frozen LLM agents (arXiv v1)

EvoBelief is a self-evolving world model that represents environment knowledge as falsifiable hypotheses: unexpected outcomes trigger hypothesis formation and controlled validation before rules are used for prediction or planning while the language model weights remain frozen. Evaluated on ALFWorld, MiniGrid, and DiscoveryWorld Reactor Lab, EvoBelief improves ALFWorld success over a matched Frozen World Model by 23.9% with Claude Haiku 4.5 and 31.3% with GPT-5.4, adapts to hidden dynamics on MiniGrid, and discovers validated quantitative laws in DiscoveryWorld (83.3% Normal-tier, 58.3% Challenge-tier vs 0% for baselines).

7.0

RESEARCH · 1 SOURCE · The Decoder

Microsoft and University of Illinois introduce StudentSim to build realistic student replicas for AI tutor training

Researchers at Microsoft and the University of Illinois released StudentSim, a two-stage system that builds individualized student replicas from limited data (using Alibaba's Qwen3-4B-Instruct as a base) to simulate both typical mistakes and responsiveness to instruction. Tested on public datasets in chess, English-as-a-foreign-language and math, StudentSim outperformed a prompted GPT-5.4 in predicting behavior and yielded better tutor training in a chess proof-of-concept; the code is available on GitHub.

7.0