activity
20242026
collaborators

5 papers

cs.IR2026

As It Was: Aligning LLM Search Evaluation with Historical User Preferences

Ali Vardasbi, Gustavo Penha, Enrico Palumbo +3

Large-scale search systems evolve faster than human quality assurance can scale, especially for long-tail intents and multilingual queries. LLM-as-a-judge approaches provide a scal…

cs.IR2025

From IR to RecSys: Evaluating LLM-based Judges in Cranfield-style Recommendation Collections

Gustavo Penha, Aleksandr V. Petrov, Claudia Hauff +9

The Cranfield paradigm has long provided reliable, reproducible evaluation in ad hoc retrieval, and recent work has begun extending this framework to recommender systems. A recent…

cs.LG2025

Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking

Ali Vardasbi, Gustavo Penha, Claudia Hauff +1

When using LLMs to rank items based on given criteria, or evaluate answers, the order of candidate items can influence the model's final decision. This sensitivity to item position…

cs.CY2025

Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models

Konstantina Palla, José Luis Redondo García, Claudia Hauff +5

Content moderation plays a critical role in shaping safe and inclusive online environments, balancing platform standards, user expectations, and regulatory frameworks. Traditionall…

cs.IR2024

PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters

Azin Ghazimatin, Ekaterina Garmash, Gustavo Penha +14

Listeners of long-form talk-audio content, such as podcast episodes, often find it challenging to understand the overall structure and locate relevant sections. A practical solutio…