research
∙
06/01/2023
EEL: Efficiently Encoding Lattices for Reranking
Standard decoding approaches for conditional text generation tasks typic...
share
research
∙
05/16/2023
Satisfiability-Aided Language Models Using Declarative Prompting
Prior work has combined chain-of-thought prompting in large language mod...
research
∙
02/09/2023
Explanation Selection Using Unlabeled Data for In-Context Learning
Recent work has addressed textual reasoning tasks by prompting large lan...
research
∙
12/12/2022
Video Prediction by Efficient Transformers
Video prediction is a challenging computer vision task that has a wide r...
research
∙
11/25/2022
Complementary Explanations for Effective In-Context Learning
Large language models (LLMs) have exhibited remarkable capabilities in l...
research
∙
10/13/2022
Assessing Out-of-Domain Language Model Performance from Few Examples
While pretrained language models have exhibited impressive generalizatio...
research
∙
10/11/2022
Continuous conditional video synthesis by neural processes
We propose a unified model for multiple conditional video synthesis task...
research
∙
06/09/2022
Diagnosing Ensemble Few-Shot Classifiers
The base learners and labeled samples (shots) in an ensemble few-shot cl...
research
∙
05/06/2022
The Unreliability of Explanations in Few-Shot In-Context Learning
How can prompting a large language model like GPT-3 with explanations im...
research
∙
03/29/2022
VPTR: Efficient Transformers for Video Prediction
In this paper, we propose a new Transformer block for video future frame...
research
∙
10/14/2021
Can Explanations Be Useful for Calibrating Black Box Models?
One often wants to take an existing, trained NLP model and use it on dat...
research
∙
09/17/2021
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
Existing KBQA approaches, despite achieving strong performance on i.i.d....
research
∙
04/09/2021
Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals
Token-level attributions have been extensively studied to explain model ...
research
∙
10/04/2020
Optimal Neural Program Synthesis from Multimodal Specifications
Multimodal program synthesis, which leverages different types of user in...
research
∙
05/02/2020
Benchmarking Multimodal Regex Synthesis with Complex Structures
Existing datasets for regular expression (regex) generation from natural...
research
∙
08/16/2019
Sketch-Driven Regular Expression Generation from Natural Language and Examples
Recent systems for converting natural language descriptions into regular...
research
∙
08/09/2019
