Nothing Special   »   [go: up one dir, main page]
Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Computer Science > Human-Computer Interaction

arXiv:2408.14623 (cs)
[Submitted on 26 Aug 2024]

Title:MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functions

Authors:Yingqiang Gao, Jhony Prada, Nianlong Gu, Jessica Lam, Richard H.R. Hahnloser
View PDF HTML (experimental)
Abstract:Large Language Models (LLMs) produce eloquent texts but often the content they generate needs to be verified. Traditional information retrieval systems can assist with this task, but most systems have not been designed with LLM-generated queries in mind. As such, there is a compelling need for integrated systems that provide both retrieval and generation functionality within a single user interface.
We present MODOC, a modular user interface that leverages the capabilities of LLMs and provides assistance with detecting their confabulations, promoting integrity in scientific writing. MODOC represents a significant step forward in scientific writing assistance. Its modular architecture supports flexible functions for retrieving information and for writing and generating text in a single, user-friendly interface.
Subjects: Human-Computer Interaction (cs.HC); Computation and Language (cs.CL); Digital Libraries (cs.DL); Information Retrieval (cs.IR)
Cite as: arXiv:2408.14623 [cs.HC]
  (or arXiv:2408.14623v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2408.14623

Submission history

From: Yingqiang Gao Dr. [view email]
[v1] Mon, 26 Aug 2024 20:36:52 UTC (10,140 KB)
Full-text links:

Access Paper:

view license
Current browse context:
cs.HC
< prev   |   next >
new | recent | 2024-08
Change to browse by:
cs
cs.CL
cs.DL
cs.IR

References & Citations

export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)