Multi-Document Summarization
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Benchmarks
Most implemented
Bottom-Up Abstractive Summarization
LongT5: Efficient Text-To-Text Transformer for Long Sequences
Generating Wikipedia by Summarizing Long Sequences
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
Scoring Sentence Singletons and Pairs for Abstractive Summarization
Papers
Decoupling Generation and Selection for Budget-Constrained Faithful Summarization
Abstractive summarization models remain vulnerable to factual inconsistency, redundancy, and weak length control. We propose a modular generation-and-selection framework for sentence-budget-constrained summarization. A p…
Multi-Document SummarizationAttributable by Construction: Claim-Anchored Provenance for Multi-Document Summarization
Large language models produce fluent multi-document summaries, but their attributions are typically coarse---whole documents or passages---and generated post hoc, leaving each statement hard to verify. We argue that attr…
Multi-Document SummarizationA BART-based approach with hierarchical strategy for Vietnamese abstractive multi-document summarization
In this technical report, we focus on solving the challenge of Vietnamese multi-document abstractive summarization, introduced in the International Workshop on Vietnamese Language and Speech Processing (VLSP) 2022. We ch…
Multi-Document SummarizationDetecting Speculative Language in Biomedical Texts using Recurrent Neural Tensor Networks
In this investigation, we delve into the automated detection of speculative language within biomedical articles by utilizing distributed sentence representations and advanced deep learning techniques. The implications of…
Multi-Document SummarizationInformation RetrievalA Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs
Multi-Document Summarization (MDS) plays a critical role in distilling essential information from collections of textual data. Existing approaches often struggle to capture complex inter-document relationships, rely heav…
Multi-Document SummarizationKnowledge GraphsA Dataset and Benchmark for Consumer Healthcare Question Summarization
The quest for seeking health information has swamped the web with consumers health-related questions. Generally, consumers use overly descriptive and peripheral information to express their medical condition or other hea…
Natural Language UnderstandingCommunity Question AnsweringMulti-Document Summarization