Pre-trained language models for text generation: A survey
Text Generation aims to produce plausible and readable text in human language from input
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …
[HTML][HTML] International relations challenges and sustainable development in developing countries after 2022: conceptualization of the risk assessment model
Background UN defined Transforming our world: the 2030 Agenda for Sustainable
Development promotes international relations as a platform of cooperation between all …
Development promotes international relations as a platform of cooperation between all …
Generating literal and implied subquestions to fact-check complex claims
Verifying complex political claims is a challenging task, especially when politicians use
various tactics to subtly misrepresent the facts. Automatic fact-checking systems fall short …
various tactics to subtly misrepresent the facts. Automatic fact-checking systems fall short …
ClarifyDelphi: Reinforced clarification questions with defeasibility rewards for social and moral situations
Context is everything, even in commonsense moral reasoning. Changing contexts can flip
the moral judgment of an action;" Lying to a friend" is wrong in general, but may be morally …
the moral judgment of an action;" Lying to a friend" is wrong in general, but may be morally …
Rephrase, augment, reason: Visual grounding of questions for vision-language models
An increasing number of vision-language tasks can be handled with little to no training, ie, in
a zero and few-shot manner, by marrying large language models (LLMs) to vision encoders …
a zero and few-shot manner, by marrying large language models (LLMs) to vision encoders …
The art of saying no: Contextual noncompliance in language models
Chat-based language models are designed to be helpful, yet they should not comply with
every user request. While most existing work primarily focuses on refusal of" unsafe" …
every user request. While most existing work primarily focuses on refusal of" unsafe" …
Product question answering in e-commerce: A survey
Product question answering (PQA), aiming to automatically provide instant responses to
customer's questions in E-Commerce platforms, has drawn increasing attention in recent …
customer's questions in E-Commerce platforms, has drawn increasing attention in recent …
Infolossqa: Characterizing and recovering information loss in text simplification
Text simplification aims to make technical texts more accessible to laypeople but often
results in deletion of information and vagueness. This work proposes InfoLossQA, a …
results in deletion of information and vagueness. This work proposes InfoLossQA, a …
Varifocal question generation for fact-checking
Fact-checking requires retrieving evidence related to a claim under investigation. The task
can be formulated as question generation based on a claim, followed by question …
can be formulated as question generation based on a claim, followed by question …
Detect and perturb: Neutral rewriting of biased and sensitive text via gradient-based decoding
Written language carries explicit and implicit biases that can distract from meaningful
signals. For example, letters of reference may describe male and female candidates …
signals. For example, letters of reference may describe male and female candidates …