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Alquist 3.0: Alexa Prize Bot Using Conversational Knowledge Graph
The third version of the socialbot Alquist, a conversational system designed to converse coherently and engagingly with humans on popular topics. -
Text Summarization
The dataset used for the text summarization task, where a summarizer produces an utterance made up of one or multiple sentences to succinctly report the main content of a text. -
Reference Games
The dataset used for the reference games task, where participants produce descriptions that allow comprehenders to identify the correct referent out of a set of candidates. -
ICLEF: In-Context Learning with Expert Feedback for Explainable Style
We build two explainable style transfer datasets by augmenting existing datasets with synthetic textual explanations generated by a teacher model. -
Contextual Description Evaluation
The dataset used in the paper to evaluate the effectiveness of referenceless metrics for image accessibility. -
MS MARCO NLGen
The MS MARCO NLGen dataset is a collection of natural language generation tasks, where the goal is to generate natural-sounding answers to questions. -
Natural Questions
The Natural Questions dataset consists of questions extracted from web queries, with each question accompanied by a corresponding Wikipedia article containing the answer. -
Contextualized Sequence Likelihood
The authors used several question-answering datasets, including CoQA, TriviaQA, and Natural Questions. -
Training a helpful and harmless assistant with reinforcement learning from hu...
The authors propose a novel approach that incorporates parameter-efficient tuning to better optimize control tokens, thus benefitting controllable generation.
