From the 1 of 94 linked papers with an AI index.
4 citations · 11 across the 51 of their papers we have counts for
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When Does LLM Orchestration Pay Off? A Controlled Evaluation of Accuracy, Cost, and Task Difficulty
Nicolas Leins, Nico Pelleriti, Jana Gonnermann-Müller +1
LLM orchestration is often assumed to improve reasoning by allocating additional inference-time computation, yet its gains may not justify its cost. Existing comparisons also frequ…
Agentic MIP Research: Accelerated Constraint Handler Generation
Liding Xu, Yugeng Zhou, Sebastian Pokutta
Mixed-integer programming (MIP) research is both mathematically sophisticated and engineering-intensive: testing an algorithmic hypothesis within a branch-and-cut solver requires s…
Within-Model vs Between-Prompt Variability in Large Language Models for Creative Tasks
Jennifer Haase, Jana Gonnermann-Müller, Paul H. P. Hanel +4
How much of LLM output variance is explained by prompts versus model choice versus stochasticity through sampling? We answer this by evaluating 12 LLMs on 10 creativity prompts wit…