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cs.LG2026
Causal methods for LLM development and evaluation
Dennis Frauen, Marie Brockschmidt, Konstantin Hess +10
Large language model (LLM) development is currently driven by large-scale empirical iteration over data mixtures, reward models, routing strategies, and evaluation pipelines. Here,…
cs.LG2026
Predicting Startup Success Using Large Language Models: A Novel In-Context Learning Approach
Abdurahman Maarouf, Alket Bakiaj, Stefan Feuerriegel
Venture capital (VC) investments in early-stage startups that end up being successful can yield high returns. However, predicting early-stage startup success remains challenging du…