… In this work, we address answer aggregation for complex text … More specifically, how to
analyze and aggregate multiple … interest of the NLP (Natural Language Processing) community […

… Long-form generations from large language models (LLMs) contains a … The factuality of the
whole generation is the percentage of … in the generation. Figure 1 shows such a case, where …

… In contrast, models based on local aggregation learn the … graph and how their natural language
descriptions are related … build a graph encoder to aggregate the local context by utilizing …

… This paper explores the task of languageagnostic speaker replication, a novel endeavor …
language they are speaking. Towards this end, we introduce a multi-level attention aggregation …

… Since there is no person dataset or benchmark with textual description available, we collect
a large-scale person description dataset with detailed natural language annotations and …

… For language generation tasks, we find that RAG models … To test RAG’s natural language
generation (NLG) in a … a retrieved item, but on aggregating content from several pieces of …

… that can be applied to natural language generation tasks of similar nature, including sum…
Instead, we investigate aggregation functions to consolidate layer-wise information, forming …

… (EQA) is a fundamental task in natural language processing (Parsing… aggregation problem
as a free text sequence aggregation problem and adopt the free text sequence aggregation …

… conditions under which performance of an existing aggregation system can be improved. In
… other existing aggregation techniques. As an example, we show that all these aggregation …

… Natural language generation tasks can be generally divided into two phases: content …
Aggregation via set partitioning for natural language generation. In HLT-NAACL, 359–366. …