mlsanityData to 7 Oct 2026

SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation

arXiv 2306.03535 ↗First posted 6 Jun 2023cs.CLcited by 5

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Abstract (arXiv)

Scientific writing involves retrieving, summarizing, and citing relevant papers, which can be time-consuming processes in large and rapidly evolving fields. By making these processes inter-operable, natural language processing (NLP) provides opportunities for creating end-to-end assistive writing tools. We propose SciLit, a pipeline that automatically recommends relevant papers, extracts highlights, and suggests a reference sentence as a citation of a paper, taking into consideration the user-provided context and keywords. SciLit efficiently recommends papers from large databases of hundreds of millions of papers using a two-stage pre-fetching and re-ranking literature search system that flexibly deals with addition and removal of a paper database. We provide a convenient user interface that displays the recommended papers as extractive summaries and that offers abstractively-generated citing sentences which are aligned with the provided context and which mention the chosen keyword(s). Our assistive tool for literature discovery and scientific writing is available at https://scilit.vercel.app

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 18 of its 40 references that are in the map. First posted on arXiv 6 Jun 2023.

Builds on

18 of 40 references.

References · 18

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,404
  4. 2018Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognitioncited by 1,199
  5. 2020Asking and Answering Questions to Evaluate the Factual Consistency of Summariescited by 376
  6. 2020Extractive Summarization as Text Matchingcited by 189
  7. 2019Structural Scaffolds for Citation Intent Classification in Scientific Publicationscited by 129
  8. 2019Fine-tune BERT for Extractive Summarizationcited by 122
  9. 2021Entity-level Factual Consistency of Abstractive Text Summarizationcited by 118
  10. 2017Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Featurescited by 103
  11. 2019A Deep Look into Neural Ranking Models for Information Retrievalcited by 79
  12. 2019Extractive Summarization of Long Documents by Combining Global and Local Contextcited by 59
6 more
  1. 2019Span Selection Pre-training for Question Answeringcited by 36
  2. 2020Citation Recommendation: Approaches and Datasetscited by 36
  3. 2021MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processescited by 19
  4. 2021Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Rerankingcited by 18
  5. 2020A New Neural Search and Insights Platform for Navigating and Organizing AI Researchcited by 4
  6. 2020Embedding-based Scientific Literature Discovery in a Text Editor Applicationcited by 3

Built on by

Cited by year

Citing papers per year: 2024: 3; 2025: 2.

5 papers.

  1. 2024Systematic Task Exploration with LLMs: A Study in Citation Text Generationcited by 8
  2. 2025From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systemscited by 8
  3. 2025Graph-Guided Passage Retrieval for Author-Centric Structured Feedbackcited by 3
  4. 2024TL;DR Progress: Multi-faceted Literature Exploration in Text Summarizationcited by 1
  5. 2024MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functionscited by 1