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Found 17 papers, 10 papers with code
Identifying Distributional Perspectives from Colingual Groups
Discrepancies exist among different cultures or languages.
Detecting Machine-Generated Long-Form Content with Latent-Space Variables
The increasing capability of large language models (LLMs) to generate fluent long-form texts is presenting new challenges in distinguishing machine-generated outputs from human-written ones, which is crucial for ensuring authenticity and trustworthiness of expressions.
REFFLY: Melody-Constrained Lyrics Editing Model
Automatic melody-to-lyric generation aims to produce lyrics that align with a given melody.
Are Large Language Models Capable of Generating Human-Level Narratives?
This paper investigates the capability of LLMs in storytelling, focusing on narrative development and plot progression.
MacGyver: Are Large Language Models Creative Problem Solvers?
We explore the creative problem-solving capabilities of modern LLMs in a novel constrained setting.
BOOST: Harnessing Black-Box Control to Boost Commonsense in LMs' Generation
Large language models (LLMs) such as GPT-3 have demonstrated a strong capability to generate coherent and contextually relevant text.
Evaluating Large Language Models on Controlled Generation Tasks
While recent studies have looked into the abilities of large language models in various benchmark tasks, including question generation, reading comprehension, multilingual and etc, there have been few studies looking into the controllability of large language models on generation tasks.
Unsupervised Melody-to-Lyric Generation
Automatic melody-to-lyric generation is a task in which song lyrics are generated to go with a given melody.
Unsupervised Melody-Guided Lyrics Generation
At inference time, we leverage the crucial alignments between melody and lyrics and compile the given melody into constraints to guide the generation process.
A Unified Framework for Pun Generation with Humor Principles
We propose a unified framework to generate both homophonic and homographic puns to resolve the split-up in existing works.
AmbiPun: Generating Humorous Puns with Ambiguous Context
In this paper, we propose a simple yet effective way to generate pun sentences that does not require any training on existing puns.
Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts
Stories or narratives are comprised of a sequence of events.
Zero-shot Sonnet Generation with Discourse-level Planning and Aesthetics Features
Poetry generation, and creative language generation in general, usually suffers from the lack of large training data.
HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge
A hyperbole is an intentional and creative exaggeration not to be taken literally.
Paraphrase Generation as Unsupervised Machine Translation
Then based on the paraphrase pairs produced by these UMT models, a unified surrogate model can be trained to serve as the final \sts model to generate paraphrases, which can be directly used for test in the unsupervised setup, or be finetuned on labeled datasets in the supervised setup.
Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder
In this paper, we study abstractive review summarization. Observing that review summaries often consist of aspect words, opinion words and context words, we propose a two-stage reinforcement learning approach, which first predicts the output word type from the three types, and then leverages the predicted word type to generate the final word distribution. Experimental results on two Amazon product review datasets demonstrate that our method can consistently outperform several strong baseline approaches based on ROUGE scores.
Identifying Distributional Perspective Differences from Colingual Groups
Perspective differences exist among different cultures or languages.
