Fast Abstracts and Student Forum Proceedings -- EDCC 2024 -- 19th European Dependable Computing Conference
- URL: http://arxiv.org/abs/2404.17465v4
- Date: Wed, 8 May 2024 17:05:10 GMT
- Title: Fast Abstracts and Student Forum Proceedings -- EDCC 2024 -- 19th European Dependable Computing Conference
- Authors: Simona Bernardi, Tommaso Zoppi,
- Abstract summary: Fast Abstracts aims to bring together researchers and practitioners working on dependable computing to discuss work in progress or opinion pieces.
One of the key goals of the Forum is to provide students with feedback on their preliminary results.
- Score: 1.3996171129586734
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: The goal of the Fast Abstracts track is to bring together researchers and practitioners working on dependable computing to discuss work in progress or opinion pieces. Contributions are welcome from academia and industry. Fast Abstracts aim to serve as a rapid and flexible mechanism to: (i) Report on current work that may or may not be complete; (ii) Introduce new ideas to the community; (iii) State positions on controversial issues or open problems; (iv) Share lessons learnt from real-word dependability engineering; and (v) Debunk or question results from other papers based on contra-indications. The Student Forum aims at creating a vibrant and friendly environment where students can present and discuss their work, and exchange ideas and experiences with other students, researchers and industry. One of the key goals of the Forum is to provide students with feedback on their preliminary results that might help with their future research directions.
Related papers
- Good Idea or Not, Representation of LLM Could Tell [86.36317971482755]
We focus on idea assessment, which aims to leverage the knowledge of large language models to assess the merit of scientific ideas.
We release a benchmark dataset from nearly four thousand manuscript papers with full texts, meticulously designed to train and evaluate the performance of different approaches to this task.
Our findings suggest that the representations of large language models hold more potential in quantifying the value of ideas than their generative outputs.
arXiv Detail & Related papers (2024-09-07T02:07:22Z) - ResearchBot: Bridging the Gap between Academic Research and Practical Programming Communities [1.7825757481227438]
This project introduces ResearchBot, a tool designed to bridge the academia-industry gap.
ResearchBot employs a modular approach, encompassing understanding questions, curating queries to obtain relevant papers and summarizing paper content.
The core objective of ResearchBot is to democratize access to academic knowledge for industry professionals.
arXiv Detail & Related papers (2024-07-02T20:17:13Z) - DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents [49.74065769505137]
We introduce DISCOVERYWORLD, the first virtual environment for developing and benchmarking an agent's ability to perform complete cycles of novel scientific discovery.
It includes 120 different challenge tasks spanning eight topics each with three levels of difficulty and several parametric variations.
We find that strong baseline agents, that perform well in prior published environments, struggle on most DISCOVERYWORLD tasks.
arXiv Detail & Related papers (2024-06-10T20:08:44Z) - What Can Natural Language Processing Do for Peer Review? [173.8912784451817]
In modern science, peer review is widely used, yet it is hard, time-consuming, and prone to error.
Since the artifacts involved in peer review are largely text-based, Natural Language Processing has great potential to improve reviewing.
We detail each step of the process from manuscript submission to camera-ready revision, and discuss the associated challenges and opportunities for NLP assistance.
arXiv Detail & Related papers (2024-05-10T16:06:43Z) - Findings of the First Workshop on Simulating Conversational Intelligence in Chat [29.09249285901475]
The aim of the workshop was to bring together experts working on open-domain dialogue research.
The main goal of this paper is to provide an overview of the shared task, and an in depth analysis of the shared task results following presentation at the workshop.
arXiv Detail & Related papers (2024-02-09T14:08:23Z) - Summary of the 3rd International Workshop on Requirements Engineering
and Testing [10.966288807626349]
The RET workshop series provides a meeting point for researchers and practitioners from the two separate fields of Requirements Engineering (RE) and Testing.
The goal is to improve the connection and alignment of these two areas through an exchange of ideas, challenges, practices, experiences and results.
arXiv Detail & Related papers (2023-08-18T11:32:23Z) - Summary of 2nd International Workshop on Requirements Engineering and
Testing (RET) [7.497263307841256]
The RET workshop series provides a meeting point for researchers and practitioners from the two separate fields of Requirements Engineering (RE) and Testing.
The goal is to improve the connection and alignment of these two areas through an exchange of ideas, challenges, practices, experiences and results.
The 2nd workshop was held in co-location with ICSE 2015 in Florence, Italy.
arXiv Detail & Related papers (2023-08-02T17:25:03Z) - Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation [55.00687185394986]
We propose the task of scientific opinion summarization, where research paper reviews are synthesized into meta-reviews.
We introduce the ORSUM dataset covering 15,062 paper meta-reviews and 57,536 paper reviews from 47 conferences.
Our experiments show that (1) human-written summaries do not always satisfy all necessary criteria such as depth of discussion, and identifying consensus and controversy for the specific domain, and (2) the combination of task decomposition and iterative self-refinement shows strong potential for enhancing the opinions.
arXiv Detail & Related papers (2023-05-24T02:33:35Z) - The Semantic Reader Project: Augmenting Scholarly Documents through
AI-Powered Interactive Reading Interfaces [54.2590226904332]
We describe the Semantic Reader Project, a effort across multiple institutions to explore automatic creation of dynamic reading interfaces for research papers.
Ten prototype interfaces have been developed and more than 300 participants and real-world users have shown improved reading experiences.
We structure this paper around challenges scholars and the public face when reading research papers.
arXiv Detail & Related papers (2023-03-25T02:47:09Z) - "This Applies to the RealWorld": Student Perspectives on Integrating
Ethics into a Computer Science Assignment [14.273946017136643]
There is a growing movement in undergraduate computer science (CS) programs to embed ethics across classes.
One strategy is creating assignments that encourage students to reflect on ethical issues inherent to the code they write.
We present a case study describing our process of designing an ethics-based assignment and proposing the assignment to students for feedback.
arXiv Detail & Related papers (2023-01-20T15:19:02Z) - Revise and Resubmit: An Intertextual Model of Text-based Collaboration
in Peer Review [52.359007622096684]
Peer review is a key component of the publishing process in most fields of science.
Existing NLP studies focus on the analysis of individual texts.
editorial assistance often requires modeling interactions between pairs of texts.
arXiv Detail & Related papers (2022-04-22T16:39:38Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.