AI Reliability
Chain-of-thought, determinism, schema calibration, and error resilience
🧠 CoT vs Direct Reasoning ⓘ
Direct final-answer prompting vs Chain-of-Thought step-by-step reasoning at temperature=0.
Compare accuracy and latency on multi-step spatial navigation, family-tree logic, and calendar scheduling puzzles.
🎲 Structured Output Determinism ⓘ
Unconstrained Free-Text vs Prompt-Only JSON vs Strict JSON Schema (response_format) extraction.
Extract structured product review fields (sentiment, rating, pros, cons) and compare JSON parser reliability across all 3 modes.
🎯 Tool Schema Routing Calibration ⓘ
2×2 tool routing ablation matrix: Descriptive vs Opaque tool names × Loose vs Tight docstrings.
Tests whether the LLM routes weather intents (precipitation vs general forecast) by function name keywords or docstring semantics across Conditions A, B, C, and D.
🛡️ Tool Error Injection & Scoring ⓘ
Fault injection benchmark testing LLM honesty vs hallucination when a tool returns HTTP 503.
Compares Normal Execution (Tokyo + Paris) against an injected Paris HTTP 503 outage under Unguided and Strictly Guided system prompts.