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Dense-Caption Matching and Frame-Selection Gating for Temporal Localization i...
This paper proposes a video question answering model that effectively integrates multi-modal input sources and finds the temporally relevant information to answer questions. -
ASQA and ELI5 datasets
The ASQA and ELI5 datasets are used for evaluating the performance of large language models on the task of positional fine-grained citation generation. -
ALiiCE: Evaluating Positional Fine-grained Citation Generation
The ASQA and ELI5 datasets are used for evaluating the performance of large language models on the task of positional fine-grained citation generation. -
TREC dataset
The dataset used in the paper is the TREC dataset, which consists of 124 queries. -
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping
Self-alignment is an effective way to reduce the cost of human annotation while ensuring promising model capability. This objective can be achieved from three aspects: (i) high... -
Expected Policy Gradients
The authors used the SimpleQuestion dataset as a test environment for their expected policy gradient method. -
NaturalQuestions-Open WebQuestions CuratedTREC
Open-domain QA datasets for testing the proposed method -
SQuAD: 100,000+ Questions for Machine Comprehension of Text
The SQuAD dataset is a benchmark for natural language understanding tasks, including question answering and text classification. -
FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language
FarFetched is a modular framework that enables people to verify any kind of textual claim based on the incorporated evidence from textual news sources. -
ChroniclingAmericaQA
ChroniclingAmericaQA is a large-scale question-answering dataset comprising 487k question-answer pairs over a collection of historical American newspapers with the objective of... -
CounterFact
The dataset used in the paper is a collection of irrelevant questions that are more challenging than the ones in existing datasets. -
Propositional Horn Clause Logic Dataset
The dataset used in this paper is a collection of questions and answers related to logic programming, with a focus on propositional Horn clause logic. -
Modeling Task Interactions in Document-Level Joint Entity and Relation Extrac...
Document-level relation extraction in an end-to-end setting, where the model needs to jointly perform mention extraction, coreference resolution (COREF) and relation extraction... -
bAbI Question Answering dataset
The bAbI Question Answering dataset is a benchmark for evaluating the ability of RNNs to answer questions.
