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Found 8 papers, 2 papers with code
Relying on Discourse Analysis to Answer Complex Questions by Neural Machine Reading Comprehension
Machine reading comprehension (MRC) is one of the most challenging tasks in natural language processing domain.
On a Chatbot Navigating a User through a Concept-Based Knowledge Model
Information retrieval chatbots are widely used as assistants, to help users formulate their requirements about the products they want to purchase, and navigate to the set of items that satisfies their requirements in the best way.
OmniFusion Technical Report
We propose an \textit{OmniFusion} model based on a pretrained LLM and adapters for visual modality.
Ranked #39 on
Visual Question Answering
on MM-Vet
MERA: A Comprehensive LLM Evaluation in Russian
To address these issues, we introduce an open Multimodal Evaluation of Russian-language Architectures (MERA), a new instruction benchmark for evaluating foundation models oriented towards the Russian language.
The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models
In this study, we present an investigation into the anisotropy dynamics and intrinsic dimension of embeddings in transformer architectures, focusing on the dichotomy between encoders and decoders.
On a Chatbot Conducting Dialogue-in-Dialogue
We demo a chatbot that delivers content in the form of virtual dialogues automatically produced from plain texts extracted and selected from documents.
On a Chatbot Providing Virtual Dialogues
We present a chatbot that delivers content in the form of virtual dialogues automatically produced from the plain texts that are extracted and selected from the documents.
