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researcher

Eshaan Agarwal

2 papers hereh-index 362 citations4 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedPromptWizard: Task-Aware Prompt Optimization Framework

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024★ 3 cited

PromptWizard: Task-Aware Prompt Optimization Framework

Eshaan Agarwal, Joykirat Singh, Vivek Dani +3

Large language models (LLMs) have transformed AI across diverse domains, with prompting being central to their success in guiding model outputs. However, manual prompt engineering…

cs.AI2024

SwissNYF: Tool Grounded LLM Agents for Black Box Setting

Somnath Sendhil Kumar, Dhruv Jain, Eshaan Agarwal +1

While Large Language Models (LLMs) have demonstrated enhanced capabilities in function-calling, these advancements primarily rely on accessing the functions' responses. This method…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.