research
∙
07/29/2023
RoCar: A Relationship Network-based Evaluation Method to Large Language Models
Large language models (LLMs) have received increasing attention. However...
share
research
∙
06/05/2023
Machine learning feature discovery of spinon Fermi surface
With rapid progress in simulation of strongly interacting quantum Hamilt...
research
∙
05/24/2023
Evaluate What You Can't Evaluate: Unassessable Generated Responses Quality
LLMs (large language models) such as ChatGPT have shown remarkable langu...
research
∙
05/17/2023
Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt
We have witnessed the rapid proliferation of multimodal data on numerous...
research
∙
01/31/2023
Combinatorial Causal Bandits without Graph Skeleton
In combinatorial causal bandits (CCB), the learning agent chooses a subs...
research
∙
12/18/2022
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
We investigate response generation for multi-turn dialogue in generative...
research
∙
11/12/2022
Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts
Multimodal sentiment analysis is a trending topic with the explosion of ...
research
∙
11/08/2022
Active Example Selection for In-Context Learning
With a handful of demonstration examples, large-scale language models sh...
research
∙
11/08/2022
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning
Sparsity of formal knowledge and roughness of non-ontological constructi...
research
∙
10/25/2022
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
Current end-to-end retrieval-based dialogue systems are mainly based on ...
research
∙
08/18/2022
MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation
Building dialogue generation systems in a zero-shot scenario remains a h...
research
∙
08/08/2022
Peer Prediction for Learning Agents
Peer prediction refers to a collection of mechanisms for eliciting infor...
research
∙
06/04/2022
Combinatorial Causal Bandits
In combinatorial causal bandits (CCB), the learning agent chooses at mos...
research
∙
02/08/2022
Machine Explanations and Human Understanding
Explanations are hypothesized to improve human understanding of machine ...
research
∙
02/19/2021
Calibrate Before Use: Improving Few-Shot Performance of Language Models
GPT-3 can perform numerous tasks when provided a natural language prompt...
research
∙
12/21/2020
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
We investigate response selection for multi-turn conversation in retriev...
research
∙
10/23/2020
Customizing Triggers with Concealed Data Poisoning
Adversarial attacks alter NLP model predictions by perturbing test-time ...
research
∙
08/20/2019
Universal Adversarial Triggers for Attacking and Analyzing NLP
Adversarial examples highlight model vulnerabilities and are useful for ...
research
∙
08/20/2019
Universal Adversarial Triggers for NLP
Adversarial examples highlight model vulnerabilities and are useful for ...
research
∙
05/14/2019
Misleading Failures of Partial-input Baselines
Recent work establishes dataset difficulty and removes annotation artifa...
research
∙
04/09/2019
Quizbowl: The Case for Incremental Question Answering
Quizbowl is a scholastic trivia competition that tests human knowledge a...
research
∙
02/01/2019
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation
Current methods to interpret deep learning models by generating saliency...
research
∙
10/23/2018
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play
Machine learning is an important tool for decision making, but its ethic...
research
∙
09/08/2018
Interpreting Neural Networks With Nearest Neighbors
Local model interpretation methods explain individual predictions by ass...
research
∙
09/07/2018
Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions
Modern natural language processing systems have been touted as approachi...
research
∙
04/20/2018
Right Answer for the Wrong Reason: Discovery and Mitigation
Exposing the weaknesses of neural models is crucial for improving their ...
research
∙
08/03/2017
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task
We describe the University of Maryland machine translation systems submi...
research
∙
01/13/2016
