Papers Story Completion
“Story Completion” 태그가 달린 논문 17편 · 필터 해제
The Price of Format: Diversity Collapse in LLMs
Instruction-tuned large language models (LLMs) employ structured templates, such as role markers and special tokens, to enforce format consistency during inference. However, we identify a critical limitation of such form…
DiversityGSM8KMMLUStory CompletionIs Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation
The current state-of-the-art video generative models can produce commercial-grade videos with highly realistic details. However, they still struggle to coherently present multiple sequential events in the stories specifi…
Story CompletionVideo GenerationDHP Benchmark: Are LLMs Good NLG Evaluators?
Large Language Models (LLMs) are increasingly serving as evaluators in Natural Language Generation (NLG) tasks. However, the capabilities of LLMs in scoring NLG quality remain inadequately explored. Current studies depen…
Benchmarkingnlg evaluationQuestion AnsweringStory Completion+1Transferring Procedural Knowledge across Commonsense Tasks
Stories about everyday situations are an essential part of human communication, motivating the need to develop AI agents that can reliably understand these stories. Despite the long list of supervised methods for story c…
Story CompletionPlug-and-Play Controller for Story Completion: A Pilot Study toward Emotion-aware Story Writing Assistance
Emotions are essential for storytelling and narrative generation, and as such, the relationship between stories and emotions has been extensively studied. The authors of this paper, including a professional novelist, hav…
Story CompletionText GenerationEvent Transition Planning for Open-ended Text Generation
Open-ended text generation tasks, such as dialogue generation and story completion, require models to generate a coherent continuation given limited preceding context. The open-ended nature of these tasks brings new chal…
Dialogue GenerationDiversityStory CompletionText GenerationCOMPASS: a Creative Support System that Alerts Novelists to the Unnoticed Missing Contents
When humans write, they may unintentionally omit some information. Complementing the omitted information using a computer is helpful in providing writing support. Recently, in the field of story understanding and generat…
PositionSentenceStory CompletionCOINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion
Despite recent successes of large pre-trained language models in solving reasoning tasks, their inference capabilities remain opaque. We posit that such models can be made more interpretable by explicitly generating inte…
SentenceStory CompletionAESOP: Abstract Encoding of Stories, Objects, and Pictures
Visual storytelling and story comprehension are uniquely human skills that play a central role in how we learn about and experience the world. Despite remarkable progress in recent years in synthesis of visual and te…
Story CompletionVisual StorytellingConditional Generation of Temporally-ordered Event Sequences
Models of narrative schema knowledge have proven useful for a range of event-related tasks, but they typically do not capture the temporal relationships between events. We propose a single model that addresses both tempo…
DenoisingStory CompletionFinding and Generating a Missing Part for Story Completion
Creating a story is difficult. Professional writers often experience a writer’s block. Thus, providing automatic support to writers is crucial but also challenging. Recently, in the field of generating and understanding …
PositionStory CompletionSparse Text Generation
Current state-of-the-art text generators build on powerful language models such as GPT-2, achieving impressive performance. However, to avoid degenerate text, they require sampling from a modified softmax, via temperatur…
Dialogue GenerationDiversityLanguage ModelingLanguage Modelling+2T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion
Story completion is a very challenging task of generating the missing plot for an incomplete story, which requires not only understanding but also inference of the given contextual clues. In this paper, we present a nove…
DecoderDiversityStory CompletionIncorporating Structured Commonsense Knowledge in Story Completion
The ability to select an appropriate story ending is the first step towards perfect narrative comprehension. Story ending prediction requires not only the explicit clues within the context, but also the implicit knowledg…
Story CompletionControllable Neural Story Plot Generation via Reward Shaping
Language-modeling--based approaches to story plot generation attempt to construct a plot by sampling from a language model (LM) to predict the next character, word, or sentence to add to the story. LM techniques lack the…
Language ModelingLanguage Modellingreinforcement-learningReinforcement Learning+4SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge
This report summarizes the results of the SemEval 2018 task on machine comprehension using commonsense knowledge. For this machine comprehension task, we created a new corpus, MCScript. It contains a high number of quest…
Reading ComprehensionStory CompletionNeural Event Extraction from Movies Description
We present a novel approach for event extraction and abstraction from movie descriptions. Our event frame consists of {``}who{''}, {``}did what{''} {``}to whom{''}, {``}where{''}, and {``}when{''}. We formulate our probl…
Event ExtractionMachine TranslationQuestion AnsweringStory Completion+1