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Found 9 papers, 6 papers with code
TBD3: A Thresholding-Based Dynamic Depression Detection from Social Media for Low-Resource Users
To complement this evaluation, we propose a dynamic thresholding technique that adjusts the classifier’s sensitivity as a function of the number of posts a user has.
LexBoost: Improving Lexical Document Retrieval with Nearest Neighbors
For efficiency, approximation methods like HNSW are frequently used to approximate exhaustive dense retrieval.
Genetic Approach to Mitigate Hallucination in Generative IR
We address hallucination by adapting an existing genetic generation approach with a new 'balanced fitness function' consisting of a cross-encoder model for relevance and an n-gram overlap metric to promote grounding.
Lexically-Accelerated Dense Retrieval
We introduce 'LADR' (Lexically-Accelerated Dense Retrieval), a simple-yet-effective approach that improves the efficiency of existing dense retrieval models without compromising on retrieval effectiveness.
Sentiment Progression based Searching and Indexing of Literary Textual Artefacts
This can be used to create personalized clusters of book titles of interest to readers.
High-Quality Diversification for Task-Oriented Dialogue Systems
Many task-oriented dialogue systems use deep reinforcement learning (DRL) to learn policies that respond to the user appropriately and complete the tasks successfully.
Computational Psychology to Embed Emotions into News or Advertisements to Increase Reader Affinity
The emotional impact of the news title on reader is one of the most important factors.
Cultural association based on machine learning for team formation
The association among corresponding node and core nodes is used for the same.
BIG-bench Machine Learning
Cultural Vocal Bursts Intensity Prediction
