Branch-solve-merge improves large language model evaluation and generation
Large Language Models (LLMs) are frequently used for multi-faceted language generation
and evaluation tasks that involve satisfying intricate user constraints or taking into account …
and evaluation tasks that involve satisfying intricate user constraints or taking into account …
Language models are weak learners
H Manikandan, Y Jiang… - Advances in Neural …, 2023 - proceedings.neurips.cc
A central notion in practical and theoretical machine learning is that of a weak learner,
classifiers that achieve better-than-random performance (on any given distribution over …
classifiers that achieve better-than-random performance (on any given distribution over …
A Survey of Table Reasoning with Large Language Models
Table reasoning, which aims to generate the corresponding answer to the question
following the user requirement according to the provided table, and optionally a text …
following the user requirement according to the provided table, and optionally a text …
Prompting for Numerical Sequences: A Case Study on Market Comment Generation
Large language models (LLMs) have been applied to a wide range of data-to-text
generation tasks, including tables, graphs, and time-series numerical data-to-text settings …
generation tasks, including tables, graphs, and time-series numerical data-to-text settings …