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20232026
most citedTowards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings

2 citations · 6 across the 21 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024★ 2 cited

SiReRAG: Indexing Similar and Related Information for Multihop Reasoning

Nan Zhang, Prafulla Kumar Choubey, Alexander Fabbri +5

Indexing is an important step towards strong performance in retrieval-augmented generation (RAG) systems. However, existing methods organize data based on either semantic similarit…

cs.CL2024

Pruning as a Domain-specific LLM Extractor

Nan Zhang, Yanchi Liu, Xujiang Zhao +5

Large Language Models (LLMs) have exhibited remarkable proficiency across a wide array of NLP tasks. However, the escalation in model size also engenders substantial deployment cos…

cs.CL2024

PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific Documents

Nan Zhang, Connor Heaton, Sean Timothy Okonsky +2

Optical Character Recognition (OCR) is an established task with the objective of identifying the text present in an image. While many off-the-shelf OCR models exist, they are often…

cs.CL2024★ 2 cited

Milestones in Bengali Sentiment Analysis leveraging Transformer-models: Fundamentals, Challenges and Future Directions

Saptarshi Sengupta, Shreya Ghosh, Prasenjit Mitra +1

Sentiment Analysis (SA) refers to the task of associating a view polarity (usually, positive, negative, or neutral; or even fine-grained such as slightly angry, sad, etc.) to a giv…

cs.CL2024★ 2 cited

Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings

Saptarshi Sengupta, Connor Heaton, Suhan Cui +2

In Natural Language Processing (NLP), Machine Reading Comprehension (MRC) is the task of answering a question based on a given context. To handle questions in the medical domain, m…