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Found 7 papers, 3 papers with code
How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not
The remarkable performance achieved by Large Language Models (LLM) has driven research efforts to leverage them for a wide range of tasks and input modalities.
Effective Explanations for Entity Resolution Models
CERTA builds on a probabilistic framework that aims at computing the explanations evaluating the outcomes produced by using perturbed copies of the input records.
Alaska: A Flexible Benchmark for Data Integration Tasks
A limitation of such benchmarks is that they typically come with their own task definition and it can be difficult to leverage them for complex integration pipelines.
Entity Resolution
Databases
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Knowledge Graphs (KGs) have found many applications in industry and academic settings, which in turn, have motivated considerable research efforts towards large-scale information extraction from a variety of sources.
Multikernel activation functions: formulation and a case study
In this paper we focus on the kernel activation function (KAF), a recently proposed framework wherein each function is modeled as a one-dimensional kernel model, whose weights are adapted through standard backpropagation-based optimization.
Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio -- Episode 1: Machine Transcription of the Manuscripts
With training data produced by 120 high school students, our system has been able to produce good transcriptions that can be used by paleographers as a solid basis to speedup the transcription process at a large scale.
