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08/08/2023
Top K Relevant Passage Retrieval for Biomedical Question Answering
Question answering is a task that answers factoid questions using a larg...
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08/08/2023
An Ethereum-based Product Identification System for Anti-counterfeits
Fake products are items that are marketed and sold as genuine, high-qual...
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05/04/2023
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank
Since its inception, the field of unbiased learning to rank (ULTR) has r...
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04/26/2023
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization
Counterfactual learning to rank (CLTR) relies on exposure-based inverse ...
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04/05/2023
Cryptanalysis of quantum permutation pad
Cryptanalysis increases the level of confidence in cryptographic algorit...
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03/30/2023
Self-Refine: Iterative Refinement with Self-Feedback
Like people, LLMs do not always generate the best text for a given gener...
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08/25/2022
A universal whitening algorithm for commercial random number generators
Random number generators are imperfect due to manufacturing bias and tec...
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04/16/2022
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Traditional multi-task learning (MTL) methods use dense networks that us...
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04/06/2022
Knowledge Infused Decoding
Pre-trained language models (LMs) have been shown to memorize a substant...
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11/27/2021
Exploring Low-Cost Transformer Model Compression for Large-Scale Commercial Reply Suggestions
Fine-tuning pre-trained language models improves the quality of commerci...
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06/20/2021
A Survey on Serverless Computing
The Internet is responsible for accelerating growth in several fields su...
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08/14/2020
Feature-Extracting Functions for Neural Logic Rule Learning
In this paper, we present a method aimed at integrating domain knowledge...
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07/21/2020
IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals
This paper describes our efforts in tackling Task 5 of SemEval-2020. The...
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09/14/2018
CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection
Detecting whether a news article is fake or genuine is a crucial task in...
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02/14/2018
Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets
Adverse drug reactions (ADRs) are one of the leading causes of mortality...
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02/14/2018
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets
Adverse drug reactions (ADRs) are one of the leading causes of mortality...
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09/06/2017
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction
Social media is an useful platform to share health-related information d...
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06/01/2017