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Found 12 papers, 8 papers with code
A Design Space for Intelligent and Interactive Writing Assistants
In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities.
Towards Explainable AI Writing Assistants for Non-native English Speakers
We highlight the challenges faced by non-native speakers when using AI writing assistants to paraphrase text.
Evaluating Human-Language Model Interaction
To evaluate human-LM interaction, we develop a new framework, Human-AI Language-based Interaction Evaluation (HALIE), that defines the components of interactive systems and dimensions to consider when designing evaluation metrics.
TempLM: Distilling Language Models into Template-Based Generators
While pretrained language models (PLMs) have greatly improved text generation, they have also been known to produce unfaithful or inappropriate content.
CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities
Large language models (LMs) offer unprecedented language generation capabilities and exciting opportunities for interaction design.
On the Opportunities and Risks of Foundation Models
AI is undergoing a paradigm shift with the rise of models (e. g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.
Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality
We release a new benchmark for lexical substitution, the task of finding appropriate substitutes for a target word in a context.
Enabling Language Models to Fill in the Blanks
We show that this approach, which we call infilling by language modeling, can enable LMs to infill entire sentences effectively on three different domains: short stories, scientific abstracts, and lyrics.
Deep Metric Learning Network using Proxies for Chromosome Classification in Karyotyping Test
To assist cytogeneticists in karyotyping, we introduce Proxy-ResNeXt-CBAM which is a metric learning based network using proxies with a convolutional block attention module (CBAM) designed for chromosome classification.
Learning Autocomplete Systems as a Communication Game
We study textual autocomplete---the task of predicting a full sentence from a partial sentence---as a human-machine communication game.
Forecasting e-scooter substitution of direct and access trips by mode and distance
An e-scooter trip model is estimated from four U. S. cities: Portland, Austin, Chicago and New York City.
SPoC: Search-based Pseudocode to Code
Given test cases as a mechanism to validate programs, we search over the space of possible translations of the pseudocode to find a program that passes the validation.
Ranked #2 on
Program Synthesis
on SPoC TestP
