Search Results for author:
Found 11 papers, 5 papers with code
A Corpus for Commonsense Inference in Story Cloze Test
The SOTA models can achieve over 90% accuracy on predicting the last sentence.
Enhancing Sentiment Analysis Results through Outlier Detection Optimization
By employing both a small-sized language model (DistilBERT base model with 66 million parameters) and non-deep learning machine learning algorithms (decision tree, KNN, Logistic Regression, and LDA) as the classifier, our findings suggest that the removal of outliers can lead to enhanced results in most cases.
Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework
To help mitigate this issue, we introduce Bergeron: a framework designed to improve the robustness of LLMs against attacks without any additional parameter fine-tuning.
Prompt to GPT-3: Step-by-Step Thinking Instructions for Humor Generation
Artificial intelligence has made significant progress in natural language processing, with models like GPT-3 demonstrating impressive capabilities.
Visual Story Generation Based on Emotion and Keywords
Automated visual story generation aims to produce stories with corresponding illustrations that exhibit coherence, progression, and adherence to characters' emotional development.
A Review of Uncertainty for Deep Reinforcement Learning
While there has been substantial effort and progress in understanding and working with uncertainty for supervised learning, the body of literature for uncertainty aware deep reinforcement learning is less developed.
Towards a Progression-Aware Autonomous Dialogue Agent
Recent advances in large-scale language modeling and generation have enabled the creation of dialogue agents that exhibit human-like responses in a wide range of conversational scenarios spanning a diverse set of tasks, from general chit-chat to focused goal-oriented discourse.
A System for Image Understanding using Sensemaking and Narrative
Sensemaking and narrative are two inherently interconnected concepts about how people understand the world around them.
Reinforcement Learning with Quantum Variational Circuits
This work explores the potential for quantum computing to facilitate reinforcement learning problems.
A Two-Layer Dialogue Framework For Authoring Social Bots
We experimented with a range of conversational activities, such as providing news and playing games, and strategies for controlling the dialogue flow.
