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https://ajing.github.io/posts/2026-05-28-agent-eval-difficulty-trajectory-constraints/
https://ajing.github.io/posts/2026-04-13-mercor-breach-what-leaked-about-ai-training/
https://ajing.github.io/posts/2026-03-11-improving-llm-i18n-tool-use-agency/
https://ajing.github.io/posts/2026-03-08-unverifiable-rewards-rl-frontier/
https://ajing.github.io/posts/2026-03-05-instruction-following-post-training-data/
https://ajing.github.io/posts/2026-03-01-experience-augmented-icl-complement-to-rl-post-training/
https://ajing.github.io/posts/2026-01-10-tool-selection-optimization-llm-agents-at-scale/
https://ajing.github.io/posts/2026-01-03-generative-engine-optimization-geo/
https://ajing.github.io/posts/2026-01-02-ads-formats-in-llm-products/
https://ajing.github.io/posts/2026-01-02-ads-in-llm-chatbot/
https://ajing.github.io/posts/2026-01-01-generative-ui-doesnt-move-the-needle-steering-does/
https://ajing.github.io/posts/2025-12-31-rlhf-engineering-implementation/
https://ajing.github.io/posts/2025-12-31-rlhf-ppo-dpo-grpo-notes/
https://ajing.github.io/posts/2025-09-07-ae-vae-training-learnings/
https://ajing.github.io/posts/2025-09-07-user-interest-modeling-with-transformer-architectures/
https://ajing.github.io/posts/2025-05-03-ui-representation-action-execution/
https://ajing.github.io/posts/2025-04-01-generative-ui/
https://ajing.github.io/posts/2023-08-20-how-to-make-llm-serving-faster/