416 datasets found

The dataset used in the paper for Recognizing Textual Entailment (RTE) task, using Combinatory Categorial Grammar (CCG) parsing and Markov Random Fields (MRF) for inter-sentence...

The dataset is an annotated corpus of pedagogical roles for the study of pedagogical value.

Cross-topic Argument Mining from Heterogeneous Sources.

Stance detection aims to identify whether the author of a text is in favor of, against, or neutral to a given target. The main challenge of this task comes two-fold: few-shot...

Two datasets, MetaQA and FACTKG, are used to evaluate the effectiveness of the proposed method KELP. MetaQA is a critical benchmark dataset containing subsets of questions with...

The SQuAD 1.1 and SQuAD 2 datasets are used to evaluate the performance of the EQuANt model.

Quasar: Datasets for question answering by search and reading.

Open-domain question answering (OpenQA) aims to seek answers for a broad range of questions from a large knowledge source, e.g., structured knowledge bases and unstructured...

The dataset used in the paper is the Dogfood dataset, which contains a set of entities and their relationships.

Buffer of Thoughts is a novel and versatile thought-augmented reasoning approach for enhancing accuracy, efficiency and robustness of large language models (LLMs).

The Towards Expert-Level Medical Question Answering with Large Language Models dataset contains a large-scale dataset for medical question answering using large language models.

This paper proposes a method for leveraging passage-centric similarity relation for improving dense passage retrieval.

This paper proposes a pre-training task for embedding-based large-scale retrieval.

This paper proposes a novel joint training approach for dense passage retrieval and passage re-ranking.

The Winograd Schema Challenge (WSC) is a test of machine intelligence, designed to be an improvement on the Turing test. A Winograd Schema consists of a sentence and a...

Musique is a dataset for multi-hop question answering.

AriGraph is a novel knowledge graph world model designed for LLM agents. It integrates semantic and episodic memories within a memory graph framework.

Multi-hop reading comprehension (MHRC) requires not only to predict the correct answer span in the given passage, but also to provide a chain of supporting evidences for...

The problem of finding a shortest synchronizing sequence for a finite state automaton (FA) is formulated in Answer Set Programming (ASP). Four different ASP formulations are...

ALCUNA is a benchmark for evaluating the ability of large language models (LLMs) to handle new knowledge.