GameSmith: Scaling Zero-Sum Self-Play with Synthesised Games
[Submitted on 26 Sep 2026] View PDF HTML (experimental) Abstract:Post-training large language models (LLMs) on two-player zero-sum games provides a…
[Submitted on 26 Sep 2026] View PDF HTML (experimental) Abstract:Post-training large language models (LLMs) on two-player zero-sum games provides a…
[Submitted on 5 Jul 2026 (v1), last revised 11 Oct 2026 (this version, v3)] View PDF HTML (experimental) Abstract:Orthogonal and…
[Submitted on 10 Oct 2026] View PDF HTML (experimental) Abstract:Large Language Models (LLMs) can generate functionally correct code while introducing…
[Submitted on 29 Sep 2026] View PDF HTML (experimental) Abstract:Many systems read the latent space of a variational autoencoder (VAE)…
[Submitted on 26 Sep 2026] View PDF HTML (experimental) Abstract:Reinforcement learning with verifiable rewards improves mathematical reasoning when a final…
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[Submitted on 28 Sep 2026] View PDF HTML (experimental) Abstract:A familiar line of reasoning runs as follows: language models are…
[Submitted on 20 Oct 2025 (v1), last revised 12 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:Mean-field variational…
[Submitted on 26 Sep 2026] View PDF HTML (experimental) Abstract:Self-evolving agents improve through repeated cycles of modification and evaluation. However,…
[Submitted on 22 Sep 2026 (v1), last revised 10 Oct 2026 (this version, v4)] View PDF Abstract:Fairness audits in production…