RLVR on Cognaptus https://cognaptus.com/tags/rlvr/ Recent content in RLVR on Cognaptus Hugo -- 0.145.0 en-us Wed, 03 Jun 2026 00:00:00 +0000 Compile Once, Train Later: Offline RL Moves Code-Model Verification Upstream https://cognaptus.com/blog/2026-06-03-compile-once-train-later-offline-rl-moves-codemodel-verification-upstream/ Wed, 03 Jun 2026 00:00:00 +0000 https://cognaptus.com/blog/2026-06-03-compile-once-train-later-offline-rl-moves-codemodel-verification-upstream/ A mechanism-first reading of how offline reinforcement learning can post-train code models by turning pre-verified code datasets into cheaper, harder-task learning signals. Judge Math-Not by Its Parser https://cognaptus.com/blog/2026-04-27-judge-mathnot-by-its-parser/ Mon, 27 Apr 2026 00:00:00 +0000 https://cognaptus.com/blog/2026-04-27-judge-mathnot-by-its-parser/ A practical look at why symbolic answer checking undercounts LLM math ability, and why LLM-as-a-judge evaluation may be the less brittle verifier for benchmarks, rewards, and enterprise AI assurance. When RL Needs a Tour Guide: OGER and the Business of Smarter Exploration https://cognaptus.com/blog/2026-04-23-when-rl-needs-a-tour-guide-oger-and-the-business-of-smarter-exploration/ Thu, 23 Apr 2026 00:00:00 +0000 https://cognaptus.com/blog/2026-04-23-when-rl-needs-a-tour-guide-oger-and-the-business-of-smarter-exploration/ A mechanism-first reading of OGER, showing why expert demonstrations become more valuable when they guide exploration instead of merely supplying imitation data. The Data Diet for Reasoning Models: Why Less (But Smarter) Wins https://cognaptus.com/blog/2026-04-10-the-data-diet-for-reasoning-models-why-less-but-smarter-wins/ Fri, 10 Apr 2026 00:00:00 +0000 https://cognaptus.com/blog/2026-04-10-the-data-diet-for-reasoning-models-why-less-but-smarter-wins/ A business-focused reading of SuperNova, showing why reasoning gains depend less on more data and more on selecting, verifying, and mixing the right tasks. Synthetic Sense or Synthetic Nonsense? When AI Trains on Itself https://cognaptus.com/blog/2026-03-31-synthetic-sense-or-synthetic-nonsense-when-ai-trains-on-itself/ Tue, 31 Mar 2026 00:00:00 +0000 https://cognaptus.com/blog/2026-03-31-synthetic-sense-or-synthetic-nonsense-when-ai-trains-on-itself/ A mechanism-first reading of PRCO shows why multimodal AI needs separately optimized evidence extraction, not just final-answer reinforcement. From Retry to Recovery: Teaching AI Agents to Learn from Their Own Mistakes https://cognaptus.com/blog/2026-03-18-from-retry-to-recovery-teaching-ai-agents-to-learn-from-their-own-mistakes/ Wed, 18 Mar 2026 00:00:00 +0000 https://cognaptus.com/blog/2026-03-18-from-retry-to-recovery-teaching-ai-agents-to-learn-from-their-own-mistakes/ A close reading of LEAFE, a reflective-experience training framework that shifts AI agents from blind retry loops toward internalized recovery behavior. Many Roads? Not Quite: Why LLM Alignment May Prefer a Single Moral Lane https://cognaptus.com/blog/2026-03-13-many-roads-not-quite-why-llm-alignment-may-prefer-a-single-moral-lane/ Fri, 13 Mar 2026 00:00:00 +0000 https://cognaptus.com/blog/2026-03-13-many-roads-not-quite-why-llm-alignment-may-prefer-a-single-moral-lane/ A close reading of arXiv 2603.10588 shows why moral-reasoning alignment may not benefit from diversity-seeking RL as much as intuition suggests. When Failure Pays Dividends: Recycling Reasoning in RLVR with SCOPE https://cognaptus.com/blog/2026-03-02-when-failure-pays-dividends-recycling-reasoning-in-rlvr-with-scope/ Mon, 02 Mar 2026 00:00:00 +0000 https://cognaptus.com/blog/2026-03-02-when-failure-pays-dividends-recycling-reasoning-in-rlvr-with-scope/ SCOPE shows how reasoning failures can become usable training signal when the correct prefix is preserved, the first error is localized, and only the broken suffix is repaired. ReSyn & the Rise of the Verifier: When Solving Is Hard but Checking Is Easy https://cognaptus.com/blog/2026-02-24-resyn-the-rise-of-the-verifier-when-solving-is-hard-but-checking-is-easy/ Tue, 24 Feb 2026 00:00:00 +0000 https://cognaptus.com/blog/2026-02-24-resyn-the-rise-of-the-verifier-when-solving-is-hard-but-checking-is-easy/ ReSyn shows why scalable reasoning training may depend less on generating more answers and more on building synthetic environments where correctness can be checked reliably. Click, Fail, Learn: Why BEPA Might Be the First GUI Agent That Actually Improves https://cognaptus.com/blog/2026-01-12-click-fail-learn-why-bepa-might-be-the-first-gui-agent-that-actually-improves/ Mon, 12 Jan 2026 00:00:00 +0000 https://cognaptus.com/blog/2026-01-12-click-fail-learn-why-bepa-might-be-the-first-gui-agent-that-actually-improves/ A mechanism-first reading of BEPA, showing why GUI agents need policy-aligned assimilation rather than static expert imitation. Credit Where It's Due: How CAPO Brings Verifiable Precision to LLM Reasoning https://cognaptus.com/blog/2025-08-05-credit-where-its-due-how-capo-brings-verifiable-precision-to-llm-reasoning/ Tue, 05 Aug 2025 00:00:00 +0000 https://cognaptus.com/blog/2025-08-05-credit-where-its-due-how-capo-brings-verifiable-precision-to-llm-reasoning/ CAPO shows how stronger verifier models can turn blunt outcome rewards into step-localised training signals for smaller reasoning models. Red Flag on the Track: Why LLMs Still Struggle with Real Algorithmic Reasoning https://cognaptus.com/blog/2025-07-18-red-flag-on-the-track-why-llms-still-struggle-with-real-algorithmic-reasoning/ Fri, 18 Jul 2025 00:00:00 +0000 https://cognaptus.com/blog/2025-07-18-red-flag-on-the-track-why-llms-still-struggle-with-real-algorithmic-reasoning/ FormulaOne shows that frontier LLMs can look strong on coding contests while still failing at the deeper state-design reasoning behind research-grade graph algorithms.