A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Unknown
Proposes DAM, a decision-theoretic framework for memory management in LLMs, treating memory as a utility-maximization problem rather than heuristic-based.
Franz Josef Och, Hermann Ney
This paper systematically compares statistical and heuristic word alignment models, showing refined models with first-order dependence and fertility significantly outperform simple heuristics.
Bernardino Romera‐Paredes, Mohammadamin Barekatain, Alexander Novikov, et al.
FunSearch pairs a pretrained LLM with an evolutionary evaluator to discover new mathematical constructions and heuristics, surpassing best-known results in extremal combinatorics and online bin packing.
Sudhir Kumar, Glen Stecher, Michael Suleski, et al.
MEGA12 introduces heuristics to reduce computational time for substitution model selection and bootstrap tests, plus evolutionary sparse learning for fragile clade identification.