Sentence Completion
45 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Sentence Completion
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Libraries
Use these libraries to find Sentence Completion models and implementations
HellaSwag
xP3
Latest papers with no code
Illuminating the Black Box: A Psychometric Investigation into the Multifaceted Nature of Large Language Models
This study explores the idea of AI Personality or AInality suggesting that Large Language Models (LLMs) exhibit patterns similar to human personalities.
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
These methods collectively enable running models up to twice the size of the available DRAM, with a 4-5x and 20-25x increase in inference speed compared to naive loading approaches in CPU and GPU, respectively.
The Falcon Series of Open Language Models
We report detailed evaluations, as well as a deep dive into the methods and custom tooling employed to pretrain Falcon.
Exploiting Language Models as a Source of Knowledge for Cognitive Agents
Large language models (LLMs) provide capabilities far beyond sentence completion, including question answering, summarization, and natural-language inference.
I-WAS: a Data Augmentation Method with GPT-2 for Simile Detection
Simile detection is a valuable task for many natural language processing (NLP)-based applications, particularly in the field of literature.
Stay on topic with Classifier-Free Guidance
Classifier-Free Guidance (CFG) has recently emerged in text-to-image generation as a lightweight technique to encourage prompt-adherence in generations.
BloombergGPT: A Large Language Model for Finance
The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering.
Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models
Large language models (LLM) such as OpenAI's ChatGPT and GPT-3 offer unique testbeds for exploring the translation challenges of turning literacy into numeracy.
POIBERT: A Transformer-based Model for the Tour Recommendation Problem
Our recommendation algorithm is able to generate a sequence of POIs that optimizes time and users' preference in POI categories based on past trajectories from similar tourists.
Implicit causality in GPT-2: a case study
This case study investigates the extent to which a language model (GPT-2) is able to capture native speakers' intuitions about implicit causality in a sentence completion task.
