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AdvBench dataset
The dataset used for the experiments in the paper, consisting of 60 harmful instructions from the AdvBench dataset. -
DeepTagRec: A Tag Recommendation Framework
A content-cum-user based deep learning framework for tag recommendation model which takes advantage of the content of the question text and is further enhanced by the rich... -
Question Answering
The task is to predict whether the number of edges assigned x is greater than the number of edges assigned y. -
Jeopardy Questions
The authors used the Jeopardy questions dataset for their experiments. -
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence A...
The authors used a variety of datasets for question answering, including TriviaQA, Natural Questions, CountryQA, and Jeopardy questions. -
Mistral-7B-Instruct-v0.2
The dataset used in the paper is a benchmark contamination detection dataset, which contains questions and answers from various benchmarks. -
BIG-Bench Hard
The BIG-Bench Hard dataset is derived from the original BIG-Bench evaluation suite, focusing on tasks that pose challenges to existing language models. -
Ruozhiba dataset
The Ruozhiba dataset is a distinctive Chinese natural language processing dataset originating from the Ruozhiba community on Baidu Tieba, a Chinese online forum where members... -
Leveraging QA Datasets to Improve Generative Data Augmentation
The paper proposes a method to leverage QA datasets for training generative language models to be context generators for a given question and answer. -
Diverse and Specific Clarification Question Generation with Keywords
Product descriptions on e-commerce websites often suffer from missing important aspects. Clarification question generation (CQ-Gen) can be a promising approach to help alleviate... -
Proprietary Large-Scale Industry Dataset
The dataset used for the proposed Joint Multi-Domain Learning for Automatic Short Answer Grading. -
Improving Question Generation With to the Point Context
Question generation (QG) is the task of gen-erating a question from a reference sentence and a specified answer within the sentence. A major challenge in QG is to iden-tify... -
Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomple...
Incomplete utterance rewriting has recently raised wide attention. However, previous works do not consider the semantic structural information between incomplete utterance and... -
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference -
PROPSEGMENT
The PROPSEGMENT dataset is a large-scale corpus for proposition-level segmentation and entailment recognition. -
Sub-sentence encoder
The sub-sentence encoder is a contrastive learning framework for learning contextual embeddings for semantic units on the sub-sentence level.
