On the public citation graph

SummFactScore: A Claim-Centric Framework forReference-Free Factual Consistency Evaluation inLong-Document Summarization

https://doi.org/10.2139/ssrn.6582144
0 signed · 20 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.eswa.2024.124153openalex-snapshot
A systematic literature review of deep learning-based text summarization: Techniques, input representation, training strategies, mechanisms, datasets, evaluation, and challenges
inferredcites →https://doi.org/10.1016/j.ipm.2025.104216openalex-snapshot
A survey on biomedical automatic text summarization with large language models
inferredcites →https://doi.org/10.1109/taslp.2020.3037401openalex-snapshot
A Divide-and-Conquer Approach to the Summarization of Long Documents
inferredcites →https://doi.org/10.1145/3545176openalex-snapshot
An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics
inferredcites →https://doi.org/10.1162/tacl_a_00373openalex-snapshot
SummEval: Re-evaluating Summarization Evaluation
inferredcites →https://doi.org/10.1162/tacl_a_00632openalex-snapshot
Benchmarking Large Language Models for News Summarization
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.450openalex-snapshot
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.703openalex-snapshot
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.750openalex-snapshot
Evaluating the Factual Consistency of Abstractive Text Summarization
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.751openalex-snapshot
Re-evaluating Evaluation in Text Summarization
inferredcites →https://doi.org/10.18653/v1/2022.bionlp-1.22openalex-snapshot
GenCompareSum: a hybrid unsupervised summarization method using salience
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.172openalex-snapshot
How Far are We from Robust Long Abstractive Summarization?
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.228openalex-snapshot
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.153openalex-snapshot
G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.741openalex-snapshot
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
inferredcites →https://doi.org/10.18653/v1/2024.emnlp-main.1078openalex-snapshot
Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics
inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.841openalex-snapshot
FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction
inferredcites →https://doi.org/10.18653/v1/k19-1038openalex-snapshot
Automated Pyramid Summarization Evaluation
inferredcites →https://doi.org/10.18653/v1/n19-1072openalex-snapshot
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
inferredcites →https://doi.org/10.63317/2imwtg5z7gdwopenalex-snapshot
LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.