Dario Di Palma

Orcid: 0009-0007-3593-7441

Affiliations:
  • Politecnico di Bari, Italy


According to our database1, Dario Di Palma authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Exploring Diversity, Novelty, and Popularity Bias in ChatGPT's Recommendations.
CoRR, January, 2026

2025
GradeSQL: Outcome Reward Models for Ranking SQL Queries from Large Language Models.
CoRR, September, 2025

Content-Based or Collaborative? Insights from Inter-List Similarity Analysis of ChatGPT Recommendations.
Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

Exploring Approaches for Detecting Memorization of Recommender System Data in Large Language Models.
Proceedings of the 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction (SmaLLEXT 2025) co-located with CIKM 2025, 2025

Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Unveiling the Potential of Recommender Systems through Multi-Objective Metrics.
Proceedings of the 14th Italian Information Retrieval Workshop, 2024

Beyond Words: Can ChatGPT Support State-of-the-Art Recommender Systems?
Proceedings of the 14th Italian Information Retrieval Workshop, 2024

2023
Evaluating ChatGPT as a Recommender System: A Rigorous Approach.
CoRR, 2023

Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Retrieval-augmented Recommender System: Enhancing Recommender Systems with Large Language Models.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective.
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023


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