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Found 5 papers, 4 papers with code
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
Guided by human evaluation and analysis, we highlight the shortcomings of traditional metrics for both correctness and faithfulness.
TASTY: A Transformer based Approach to Space and Time complexity
However, the task of time and space complexity classification from code has not been extensively explored due to a lack of datasets, with prior endeavors being limited to Java.
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents
We introduce the StatCan Dialogue Dataset consisting of 19, 379 conversation turns between agents working at Statistics Canada and online users looking for published data tables.
Ranked #1 on
Table Retrieval
on Statcan Dialogue Dataset
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment
We train a neural model with this feedback data that can generate explanations and re-score answer candidates.
Ranked #1 on
Overall - Test
on FeedbackQA
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
One of the biggest challenges that prohibit the use of many current NLP methods in clinical settings is the availability of public datasets.
Ranked #1 on
Mortality Prediction
on MIMIC-III
(Accuracy metric)
