Self-critiquing models for assisting human evaluators
We fine-tune large language models to write natural language critiques (natural language
critical comments) using behavioral cloning. On a topic-based summarization task, critiques …
critical comments) using behavioral cloning. On a topic-based summarization task, critiques …
The main trends for multi-tier supply chain in Industry 4.0 based on Natural Language Processing
R Zhou, A Awasthi, J Stal-Le Cardinal - Computers in Industry, 2021 - Elsevier
Multi-tier supply chains in Industry 4.0 are critical emerging issues today. This article briefly
examines the Industry 4.0 policies in different countries. In order to decide on a better model …
examines the Industry 4.0 policies in different countries. In order to decide on a better model …
M4: Multi-generator, multi-domain, and multi-lingual black-box machine-generated text detection
Large language models (LLMs) have demonstrated remarkable capability to generate fluent
responses to a wide variety of user queries. However, this has also raised concerns about …
responses to a wide variety of user queries. However, this has also raised concerns about …
A survey on llm-gernerated text detection: Necessity, methods, and future directions
The powerful ability to understand, follow, and generate complex language emerging from
large language models (LLMs) makes LLM-generated text flood many areas of our daily …
large language models (LLMs) makes LLM-generated text flood many areas of our daily …
Challenges, experiments, and computational solutions in peer review
NB Shah - Communications of the ACM, 2022 - dl.acm.org
Challenges, experiments, and computational solutions in peer review Page 1 76
COMMUNICATIONS OF THE ACM | JUNE 2022 | VOL. 65 | NO. 6 review articles IMA GER YB Y …
COMMUNICATIONS OF THE ACM | JUNE 2022 | VOL. 65 | NO. 6 review articles IMA GER YB Y …
Can we automate scientific reviewing?
The rapid development of science and technology has been accompanied by an
exponential growth in peer-reviewed scientific publications. At the same time, the review of …
exponential growth in peer-reviewed scientific publications. At the same time, the review of …
A context-aware citation recommendation model with BERT and graph convolutional networks
With the tremendous growth in the number of scientific papers being published, searching
for references while writing a scientific paper is a time-consuming process. A technique that …
for references while writing a scientific paper is a time-consuming process. A technique that …
Reviewergpt? an exploratory study on using large language models for paper reviewing
Given the rapid ascent of large language models (LLMs), we study the question:(How) can
large language models help in reviewing of scientific papers or proposals? We first conduct …
large language models help in reviewing of scientific papers or proposals? We first conduct …
Adapting text embeddings for causal inference
Does adding a theorem to a paper affect its chance of acceptance? Does labeling a post
with the author's gender affect the post popularity? This paper develops a method to …
with the author's gender affect the post popularity? This paper develops a method to …
Intrinsic evaluation of summarization datasets
R Bommasani, C Cardie - … of the 2020 Conference on Empirical …, 2020 - aclanthology.org
High quality data forms the bedrock for building meaningful statistical models in NLP.
Consequently, data quality must be evaluated either during dataset construction or* post …
Consequently, data quality must be evaluated either during dataset construction or* post …