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Found 15 papers, 5 papers with code
The Surprising Effectiveness of Rankers Trained on Expanded Queries
In our extensive experiments on the DL-Hard dataset, we find that a principled query performance based scoring method using base and specialized ranker offers a significant improvement of up to 25% on the passage ranking task and up to 48. 4% on the document ranking task when compared to the baseline performance of using original queries, even outperforming SOTA model.
QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
This addresses the challenge of verifying real-world numerical claims, which are complex and often lack precise information, not addressed by existing works that mainly focus on synthetic claims.
In-Context Ability Transfer for Question Decomposition in Complex QA
We transfer the ability to decompose complex questions to simpler questions or generate step-by-step rationales to LLMs, by careful selection from available data sources of related tasks.
Context Aware Query Rewriting for Text Rankers using LLM
We find that there are two inherent limitations of using LLMs as query re-writers -- concept drift when using only queries as prompts and large inference costs during query processing.
MWPRanker: An Expression Similarity Based Math Word Problem Retriever
Math Word Problems (MWPs) in online assessments help test the ability of the learner to make critical inferences by interpreting the linguistic information in them.
Query Understanding in the Age of Large Language Models
Querying, conversing, and controlling search and information-seeking interfaces using natural language are fast becoming ubiquitous with the rise and adoption of large-language models (LLM).
Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions
Digital textbooks have become an integral part of everyday learning tasks.
Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms
The repository of questions has to be constantly updated to ensure a diverse pool of questions to conduct assessments for learners.
'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word Problems
There is a need for paraphrase scoring methods in the context of AWP to enable the training of good paraphrasers.
Obj2Sub: Unsupervised Conversion of Objective to Subjective Questions
Exams are conducted to test the learner's understanding of the subject.
K-12BERT: BERT for K-12 education
However, there has not been a model specifically adapted for the education domain (particularly K-12) across subjects to the best of our knowledge.
Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction
Hence we soft label another dataset with a model fine-tuned to predict Bloom's labels to demonstrate the applicability of our method to datasets with only difficulty labels.
Topic Aware Contextualized Embeddings for High Quality Phrase Extraction
The salient phrases are extracted using a ranking algorithm on an undirected graph constructed for the given document.
TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy
The loss function maximizes the similarity between the question-answer pair and the correct label representations and minimizes the similarity to unrelated labels.
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Question-Answer categorization
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Multi-class Classification
Question-Answer categorization
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Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task
One such research contribution came in the form of the Constraint@AAA12021 Shared Task on COVID19 Fake News Detection in English.
