A survey of large language models
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
Can language models solve graph problems in natural language?
Large language models (LLMs) are increasingly adopted for a variety of tasks with implicit
graphical structures, such as planning in robotics, multi-hop question answering or …
graphical structures, such as planning in robotics, multi-hop question answering or …
Language models of code are few-shot commonsense learners
We address the general task of structured commonsense reasoning: given a natural
language input, the goal is to generate a graph such as an event--or a reasoning-graph. To …
language input, the goal is to generate a graph such as an event--or a reasoning-graph. To …
Reframing human-AI collaboration for generating free-text explanations
Large language models are increasingly capable of generating fluent-appearing text with
relatively little task-specific supervision. But can these models accurately explain …
relatively little task-specific supervision. But can these models accurately explain …
Breaking common sense: Whoops! a vision-and-language benchmark of synthetic and compositional images
Weird, unusual, and uncanny images pique the curiosity of observers because they
challenge commonsense. For example, an image released during the 2022 world cup …
challenge commonsense. For example, an image released during the 2022 world cup …
G-retriever: Retrieval-augmented generation for textual graph understanding and question answering
Given a graph with textual attributes, we enable users tochat with their graph': that is, to ask
questions about the graph using a conversational interface. In response to a user's …
questions about the graph using a conversational interface. In response to a user's …
WinoGAViL: Gamified association benchmark to challenge vision-and-language models
While vision-and-language models perform well on tasks such as visual question
answering, they struggle when it comes to basic human commonsense reasoning skills. In …
answering, they struggle when it comes to basic human commonsense reasoning skills. In …
Pive: Prompting with iterative verification improving graph-based generative capability of llms
Large language models (LLMs) have shown great abilities of solving various natural
language tasks in different domains. Due to the training objective of LLMs and their pre …
language tasks in different domains. Due to the training objective of LLMs and their pre …
Towards an interpretable approach to classify and summarize crisis events from microblogs
Microblogging platforms like Twitter have been heavily leveraged to report and exchange
information about natural disasters. The real-time data on these sites is highly helpful in …
information about natural disasters. The real-time data on these sites is highly helpful in …
Robust and explainable identification of logical fallacies in natural language arguments
Z Sourati, VPP Venkatesh, D Deshpande… - Knowledge-Based …, 2023 - Elsevier
The spread of misinformation, propaganda, and flawed argumentation has been amplified in
the Internet era. Given the volume of data and the subtlety of identifying violations of …
the Internet era. Given the volume of data and the subtlety of identifying violations of …