5 citations · 6 across the 4 of their papers we have counts for
4 papers
UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough
Ryszard Tuora, Mateusz Galiński, Michał Godziszewski +4
One of the key problems in Retrieval-augmented generation (RAG) systems is that chunk-based retrieval pipelines represent the source chunks as atomic objects, mixing the informatio…
Tag and correct: high precision post-editing approach to correction of speech recognition errors
Tomasz Ziętkiewicz
This paper presents a new approach to the problem of correcting speech recognition errors by means of post-editing. It consists of using a neural sequence tagger that learns how to…
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors
Marek Kubis, Paweł Skórzewski, Marcin Sowański +1
In a spoken dialogue system, an NLU model is preceded by a speech recognition system that can deteriorate the performance of natural language understanding. This paper proposes a m…
Open Challenge for Correcting Errors of Speech Recognition Systems
Marek Kubis, Zygmunt Vetulani, Mikołaj Wypych +1
The paper announces the new long-term challenge for improving the performance of automatic speech recognition systems. The goal of the challenge is to investigate methods of correc…