Author

Jiachen Ding

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Jul 2026

FIFA World Cup 2026 as a Contamination-Free Benchmark for LLM Forecasting Agents: Four Models, a Bookmaker, and 104 Matches

We introduce WC2026-Agents, a benchmark and dataset for evaluating large language models (LLMs) as autonomous forecasting agents on real, future events. For every one of the 104 matches of the 2026 FIFA World Cup, four frontier models -- Claude Opus 4.8, ChatGPT (GPT-5.5, high reasoning), Gemini 3.1 Pro, and Grok (Expe...

Jiachen Ding, Congyu Guo, Jason Xu · arXiv.org · 1 citation

#artificial intelligence Preprint Aug 2026

HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning

Professional basketball is the case study, chosen for its data rather than the league, and five public sources are fuse into one per-shot dataset of 4.23M shots over 21 seasons, finding that the analytics tools of professional teams stay out of reach.

Yi-Bo Gong, Congyu Guo, Jiachen Ding · 0 citations

Preprint Jul 2026

Hidden Decoding at Scale: Latent Computation Scaling for Large Language Models

Scaling Large Language Models (LLMs) has been driven mainly by enlarging the Transformer backbone, but for an already-strong model this requires another round of costly pretraining. We study whether an existing backbone can keep improving by allocating more computation to each token while leaving the Transformer backbo...

Aiwei Liu, Cheng Shi, Chuhan Wu et al. · 2 citations