Annalisa Szymanski

Orcid: 0009-0009-5472-282X

According to our database1, Annalisa Szymanski authored at least 15 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MultEval: Supporting Collaborative Alignment for LLM-as-a-Judge Evaluation Criteria.
CoRR, April, 2026

Automated Benchmark Generation from Domain Guidelines Informed by Bloom's Taxonomy.
CoRR, January, 2026

Key Considerations for Domain Expert Involvement in LLM Design and Evaluation: An Ethnographic Study.
Proceedings of the 31st International Conference on Intelligent User Interfaces, 2026

MultEval: Collaboratively Creating Criteria for LLM-as-a-Judge Systems.
Proceedings of the Companion Proceedings of the 31st International Conference on Intelligent User Interfaces, 2026

EvalAgent: Interactive Comparative Evaluation of Computer-Using GUI Agents.
Proceedings of the Companion Proceedings of the 31st International Conference on Intelligent User Interfaces, 2026

MultEval: Supporting Collaborative Alignment for LLM-as-a-Judge Evaluation Criteria.
Proceedings of the 5th Annual Symposium on Human-Computer Interaction for Work, 2026

Balancing Goals, Health, and Cost: A Food Information System for Managing Complex Choices and Fostering Sustained Food Agency.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

Designing Staged Evaluation Workflows for LLMs: Integrating Domain Experts, Lay Users, and Model-Generated Evaluation Criteria.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks.
Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

Evaluation Workflows for Large Language Models (LLMs) that Integrate Domain Expertise for Complex Knowledge Tasks.
Proceedings of the Companion Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

2024
Corrigendum: A community focused approach toward making healthy and affordable daily diet recommendations.
Frontiers Big Data, 2024

A community focused approach toward making healthy and affordable daily diet recommendations.
Frontiers Big Data, 2024

Comparing Criteria Development Across Domain Experts, Lay Users, and Models in Large Language Model Evaluation.
CoRR, 2024

Beyond Static Labels: Unpacking Nutrition Comprehension in the Digital Age.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Integrating Expertise in LLMs: Crafting a Customized Nutrition Assistant with Refined Template Instructions.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024


  Loading...