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TIE: Topological Information Enhanced Structural Reading Comprehension on Web...
Topological Information Enhanced model (TIE) for web-based structural reading comprehension on web pages. -
Existing ACQ datasets
A few existing datasets for asking clarification questions -
FLM-HotpotQA
A dataset for pragmatic evaluation of clarifying questions and fact-level masking -
Generative Agents framework
Generative Agents framework by Park et al., aimed at enhancing the efficient retrieval of key events for general-purpose LLM agents. -
NarrativeQA
The NarrativeQA dataset is a reading comprehension challenge that focuses on questions with a single entity and relation. -
AttenWalker
Unsupervised long-document question answering via attention-based graph walking -
AMR Parsing using Stack-LSTMs
AMR parsing using Stack-LSTMs -
VAULT: VAriable Unified Long Text representation for Machine Reading Comprehen...
VAULT: a light-weight and parallel-efficient paragraph representation for Machine Reading Comprehension (MRC) based on contextualized representation from long document input -
SPAGHETTI: Open-Domain Question Answering
SPAGHETTI: A hybrid open-domain question-answering system that combines semantic parsing and information retrieval to handle structured and unstructured data. -
Google-RE (Templates) dataset
The Google-RE (Templates) dataset contains 6.11K template-based prompts from Wikipedia and 3 relations. -
Comparing Template-based and Template-free Language Model Probing
Template-based probing uses expert-made templates to create prompts, while template-free probing uses naturally-occurring text. -
LLM dataset
The dataset used in this paper is not explicitly described, but it is mentioned that it is a large language model (LLM) and that the authors used it to train and evaluate their...