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Joel Mackenzie

5 papers hereh-index 580 citations14 works total

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

author position
  • middle author4
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.IR4
  • cs.HC1

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.IRShow all

4 papers · 1 filter

cs.IR2026

Persona Conditioning as an Assessor-Sensitivity Probe for LLM-Based IR Evaluation

Samaneh Mohtadi, Pietro Bernardelle, Joel Mackenzie +1

Large language models (LLMs) are increasingly used as relevance assessors in information retrieval (IR) evaluation, raising questions about how assessor framing affects judgment re…

cs.IR2026

LLMs Encode Relevance as a Layer-Wise Cross-Lingual Signal

Pietro Bernardelle, Samaneh Mohtadi, Stefano Civelli +2

Large language models (LLMs) are increasingly used in information retrieval (IR) pipelines as relevance judges and re-rankers. Yet most analyses remain output-centric, evaluating g…

cs.IR2026

When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment

Chuting Yu, Hang Li, Guido Zuccon +2

Human relevance assessment is time-consuming and cognitively intensive, limiting the scalability of Information Retrieval evaluation. This has led to growing interest in using larg…

cs.IR2026

Revisiting Human-vs-LLM judgments using the TREC Podcast Track

Watheq Mansour, J. Shane Culpepper, Joel Mackenzie +1

Using large language models (LLMs) to annotate relevance is an increasingly important technique in the information retrieval community. While some studies demonstrate that LLMs can…

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