Timothy Baldwin · page 3
Papers
- Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling (2026)
The paper asks whether multi-step reasoning in neural models reflects real generalization or memorization, and how difficulty grows with the number of required inference steps. - SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning (2026)
Evaluating how well LLMs actually understand long documents is difficult. Synthetic retrieval tests such as needle-in-a-haystack are easy for current models, and benchmarks built from existing corpora risk contamination and allow shortcut answers. SCALAR addresses this with academic papers whose citations act as…
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