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JSeM dataset
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... -
Pedagogical Role Annotation Dataset
The dataset is an annotated corpus of pedagogical roles for the study of pedagogical value. -
Cross-topic Argument Mining from Heterogeneous Sources
Cross-topic Argument Mining from Heterogeneous Sources. -
Few-Shot Stance Detection via Target-Aware Prompt Distillation
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... -
Knowledge Graph-Enhanced Large Language Models via Path Selection
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... -
SQuAD 1.1 and SQuAD 2
The SQuAD 1.1 and SQuAD 2 datasets are used to evaluate the performance of the EQuANt model. -
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering
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... -
Dogfood dataset
The dataset used in the paper is the Dogfood dataset, which contains a set of entities and their relationships. -
Buffer of Thoughts
Buffer of Thoughts is a novel and versatile thought-augmented reasoning approach for enhancing accuracy, efficiency and robustness of large language models (LLMs). -
Towards Expert-Level Medical Question Answering with Large Language Models
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. -
PAIR: Leveraging passage-centric similarity relation for improving dense pass...
This paper proposes a method for leveraging passage-centric similarity relation for improving dense passage retrieval. -
Pre-training tasks for embedding-based large-scale retrieval
This paper proposes a pre-training task for embedding-based large-scale retrieval. -
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage R...
This paper proposes a novel joint training approach for dense passage retrieval and passage re-ranking. -
Winograd Schema - Knowledge Extraction Using Narrative Chains
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... -
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM ...
AriGraph is a novel knowledge graph world model designed for LLM agents. It integrates semantic and episodic memories within a memory graph framework. -
Graph-free Multi-hop Reading Comprehension: A Select-to-Guide Strategy
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... -
Generating Shortest Synchronizing Sequences using ASP
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: Large Language Models Meet New Knowledge
ALCUNA is a benchmark for evaluating the ability of large language models (LLMs) to handle new knowledge.
