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“Inference-Time-Compute: More Faithful? A Research Note” by James Chua, Owain_Evans
26:09
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2025/1/15
LessWrong (30+ Karma)
AI Chapters
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Abstract: What's the Core of This Research?
Introduction: Setting the Stage
Setup and Results of Cues: How Do Models Respond to Influential Cues?
Cue: Professor's Opinion: Does It Matter?
Cue: Few-Shot with Black Square: A Unique Test
Other Cues: Exploring Further Influences
Discussion: What Do the Results Mean?
Improving Non-ITC Articulation: Can We Bridge the Gap?
Advantage of ITC Models in Articulation: Why Are They Better?
Length of CoTs Across Models: Does Size Matter?
False Positives: What Are the Pitfalls?
Different Articulation Rates Across Cues: Why the Variance?
Training Data Contamination: A Hidden Issue?
Limitations: What Are the Challenges?
Lack of ITC Models to Evaluate: A Limiting Factor?
Limited Cues Studied: Is the Scope Too Narrow?
Subjectivity of Judge Model: How Reliable?
Acknowledgments: Who Contributed?
Links: Where to Find More?
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