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F. Diaz

11 papers hereh-index 7184 citations16 works total

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

author position
  • middle author7
  • last author4

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.IR3
  • cs.LG2
  • cs.CY1
  • cs.HC1
same name
  • F. Diaz — 3 papers, h 2
  • F. Diaz — 2 papers, h 1
  • F. Diaz — 2 papers, h 6
  • F. Diaz — 1 paper, h 1
  • F. Diaz — 1 paper, h 0
  • F. Diaz — 1 paper, h 14

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedExtrinsic Evaluation of Cultural Competence in Large Language Models

9 citations · 16 across the 10 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

GrepSeek: Training Search Agents for Direct Corpus Interaction

Alireza Salemi, Chang Zeng, Atharva Nijasure +4

Large Language Model (LLM) search agents have shown strong promise on knowledge-intensive tasks through iterative reasoning and retrieval. Most existing systems rely on retrievers…

cs.CL2025★ 1 cited

LTRR: Learning To Rank Retrievers for LLMs

To Eun Kim, Fernando Diaz

Retrieval-Augmented Generation (RAG) systems typically rely on a single fixed retriever, despite growing evidence that no single retriever performs optimally across all query types…

cs.CL2025

Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy

Athiya Deviyani, Fernando Diaz

Meta-evaluation of automatic evaluation metrics -- assessing evaluation metrics themselves -- is crucial for accurately benchmarking natural language processing systems and has imp…

cs.CL2024★ 9 cited

Extrinsic Evaluation of Cultural Competence in Large Language Models

Shaily Bhatt, Fernando Diaz

Productive interactions between diverse users and language technologies require outputs from the latter to be culturally relevant and sensitive. Prior works have evaluated models'…

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