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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
About Me
About me
Posts
portfolio
Ambiguous Tool Outcomes Benchmark
Counterfactual benchmark for LLM agent recovery from ambiguous tool outcomes
French Study Notes (法语学习笔记)
Grammar notes compiled for the SPEIT French curriculum
Schema Order Robustness
JSON Schema serialization-order robustness in black-box LLM generation
Side-Effect Calibration Study
Mutation testing of task-scoped state oracles in software-agent benchmarks
Snowbound School Mystery（雪闭校园）
A Ren’Py suspense visual novel — uncovering the truth behind a death in a snowbound school
VEX Robotics Programming
VEX V5 robot control code — served as the lead programmer, won 2nd Prize at the SJTU campus competition
publications
Testing JSON Schema Instruction Artifacts: Distributional Robustness under Validation-Equivalent Serialization and JSON Mode
Published in Research Square (preprint), 2026
An empirical study of how validation-equivalent JSON Schema serialization order affects black-box LLM generation, with practical guidelines for schema design.
Recommended citation: Sun, S. (2026). "Testing JSON Schema Instruction Artifacts: Distributional Robustness under Validation-Equivalent Serialization and JSON Mode." Research Square. doi:10.21203/rs.3.rs-10610100/v1
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Mutation Testing of Task-Scoped State Oracles in Software-Agent Benchmarks: A Cross-Benchmark Empirical Study
Published in Research Square (preprint), 2026
A cross-benchmark empirical study applying mutation testing to task-scoped state oracles to calibrate the reliability of software-agent benchmarks.
Recommended citation: Sun, S. (2026). "Mutation Testing of Task-Scoped State Oracles in Software-Agent Benchmarks: A Cross-Benchmark Empirical Study." Research Square. doi:10.21203/rs.3.rs-10665114/v1
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Did It Happen? Counterfactual Evaluation of LLM Agent Recovery from Ambiguous Tool Outcomes
Published in Research Square (preprint), 2026
A counterfactual evaluation framework studying whether LLM agents can detect, clarify, and recover from ambiguous tool outcomes instead of proceeding on wrong assumptions.
Recommended citation: Sun, S. (2026). "Did It Happen? Counterfactual Evaluation of LLM Agent Recovery from Ambiguous Tool Outcomes." Research Square. doi:10.21203/rs.3.rs-10730245/v1
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