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Natan Vidra

14 papers hereh-index 3138 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author6
  • last author2

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.LG4
  • cs.CL2
  • cs.SE2
  • cs.CY1
  • cs.IR1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedEnhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately

11 citations · 23 across the 13 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.IR2024★ 8 cited

Improving Retrieval for RAG based Question Answering Models on Financial Documents

Spurthi Setty, Harsh Thakkar, Alyssa Lee +2

The effectiveness of Large Language Models (LLMs) in generating accurate responses relies heavily on the quality of input provided, particularly when employing Retrieval Augmented…

cs.CL2024★ 11 cited

Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately

Liang Zhang, Katherine Jijo, Spurthi Setty +4

Large Language Models (LLMs) generate responses to questions; however, their effectiveness is often hindered by sub-optimal quality of answers and occasional failures to provide ac…

cs.LG2024

Improving Classification Performance With Human Feedback: Label a few, we label the rest

Natan Vidra, Thomas Clifford, Katherine Jijo +2

In the realm of artificial intelligence, where a vast majority of data is unstructured, obtaining substantial amounts of labeled data to train supervised machine learning models po…

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