Qa dataset explosion: A taxonomy of nlp resources for question answering and reading comprehension
Alongside huge volumes of research on deep learning models in NLP in the recent years,
there has been much work on benchmark datasets needed to track modeling progress …
there has been much work on benchmark datasets needed to track modeling progress …
Fine-tuning multimodal llms to follow zero-shot demonstrative instructions
Recent advancements in Multimodal Large Language Models (MLLMs) have been utilizing
Visual Prompt Generators (VPGs) to convert visual features into tokens that LLMs can …
Visual Prompt Generators (VPGs) to convert visual features into tokens that LLMs can …
Ehrxqa: A multi-modal question answering dataset for electronic health records with chest x-ray images
Abstract Electronic Health Records (EHRs), which contain patients' medical histories in
various multi-modal formats, often overlook the potential for joint reasoning across imaging …
various multi-modal formats, often overlook the potential for joint reasoning across imaging …
Video question answering: Datasets, algorithms and challenges
Video Question Answering (VideoQA) aims to answer natural language questions according
to the given videos. It has earned increasing attention with recent research trends in joint …
to the given videos. It has earned increasing attention with recent research trends in joint …
Ecg-qa: A comprehensive question answering dataset combined with electrocardiogram
Question answering (QA) in the field of healthcare has received much attention due to
significant advancements in natural language processing. However, existing healthcare QA …
significant advancements in natural language processing. However, existing healthcare QA …
X-instructblip: A framework for aligning x-modal instruction-aware representations to llms and emergent cross-modal reasoning
Vision-language pre-training and instruction tuning have demonstrated general-purpose
capabilities in 2D visual reasoning tasks by aligning visual encoders with state-of-the-art …
capabilities in 2D visual reasoning tasks by aligning visual encoders with state-of-the-art …
PACIFIC: towards proactive conversational question answering over tabular and textual data in finance
To facilitate conversational question answering (CQA) over hybrid contexts in finance, we
present a new dataset, named PACIFIC. Compared with existing CQA datasets, PACIFIC …
present a new dataset, named PACIFIC. Compared with existing CQA datasets, PACIFIC …
Enhancing conversational search: Large language model-aided informative query rewriting
Query rewriting plays a vital role in enhancing conversational search by transforming context-
dependent user queries into standalone forms. Existing approaches primarily leverage …
dependent user queries into standalone forms. Existing approaches primarily leverage …
Proactive Conversational AI: A Comprehensive Survey of Advancements and Opportunities
Dialogue systems are designed to offer human users social support or functional services
through natural language interactions. Traditional conversation research has put significant …
through natural language interactions. Traditional conversation research has put significant …
Generative retrieval for conversational question answering
Effective passage retrieval is crucial for conversation question answering (QA) but
challenging due to the ambiguity of questions. Current methods rely on the dual-encoder …
challenging due to the ambiguity of questions. Current methods rely on the dual-encoder …