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Found 6 papers, 4 papers with code
IR2: Information Regularization for Information Retrieval
This approach, representing a novel application of regularization techniques in synthetic data creation for IR, is tested on three recent IR tasks characterized by complex queries: DORIS-MAE, ArguAna, and WhatsThatBook.
BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
We present the Benchmark of Information Retrieval (IR) tasks with Complex Objectives (BIRCO).
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries
In scientific research, the ability to effectively retrieve relevant documents based on complex, multifaceted queries is critical.
There Once Was a Really Bad Poet, It Was Automated but You Didn't Know It
Limerick generation exemplifies some of the most difficult challenges faced in poetry generation, as the poems must tell a story in only five lines, with constraints on rhyme, stress, and meter.
Cryo-ZSSR: multiple-image super-resolution based on deep internal learning
Single-particle cryo-electron microscopy (cryo-EM) is an emerging imaging modality capable of visualizing proteins and macro-molecular complexes at near-atomic resolution.
Speech Emotion Recognition with Dual-Sequence LSTM Architecture
Speech Emotion Recognition (SER) has emerged as a critical component of the next generation human-machine interfacing technologies.
