2 citations · 2 across the 2 of their papers we have counts for
10 papers · 1 filter
DoGMaTiQ: Automated Generation of Question-and-Answer Nuggets for Report Evaluation
Bryan Li, William Walden, Yu Hou +6
Evaluation of long-form, citation-backed reports has lately received significant attention due to the wide-scale adoption of retrieval-augmented generation (RAG) systems. Core to m…
Calibrating Large Language Models with Sample Consistency
Qing Lyu, Kumar Shridhar, Chaitanya Malaviya +6
Accurately gauging the confidence level of Large Language Models' (LLMs) predictions is pivotal for their reliable application. However, LLMs are often uncalibrated inherently and…
WHAT-IF: Exploring Branching Narratives by Meta-Prompting Large Language Models
Runsheng "Anson" Huang, Lara J. Martin, Chris Callison-Burch
WHAT-IF -- Writing a Hero's Alternate Timeline through Interactive Fiction -- is a system that uses zero-shot meta-prompting to create branching narratives from a prewritten story.…
PaCE: Parsimonious Concept Engineering for Large Language Models
Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan +4
Large Language Models (LLMs) are being used for a wide variety of tasks. While they are capable of generating human-like responses, they can also produce undesirable output includi…
Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?
Ajay Patel, Nicholas Andrews, Chris Callison-Burch
Authorship style transfer involves altering text to match the style of a target author whilst preserving the original meaning. Existing unsupervised approaches like STRAP have larg…
PDDLEGO: Iterative Planning in Textual Environments
Li Zhang, Peter Jansen, Tianyi Zhang +3
Planning in textual environments have been shown to be a long-standing challenge even for current models. A recent, promising line of work uses LLMs to generate a formal representa…