Roxana Petcu

Orcid: 0000-0002-2617-205X

According to our database1, Roxana Petcu authored at least 13 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

On csauthors.net:

Bibliography

2026
A Survey on Recent Advances in Conversational Data Generation.
ACM Comput. Surv., July, 2026

SubSearch: Intermediate Rewards for Unsupervised Guided Reasoning in Complex Retrieval.
CoRR, April, 2026

Workshop on Conversational Search for Complex Information Needs.
Proceedings of the Advances in Information Retrieval, 2026

Query Decomposition for RAG: Balancing Exploration-Exploitation.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
Interpreting Multilingual and Document-Length Sensitive Relevance Computations in Neural Retrieval Models through Axiomatic Causal Interventions.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Reproducing and Extending Causal Insights Into Term Frequency Computation in Neural Rankers.
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

SOLID: Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking Dialogs.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Leveraging Graph Structures to Detect Hallucinations in Large Language Models.
CoRR, 2024

Efficient data selection employing Semantic Similarity-based Graph Structures for model training.
CoRR, 2024

Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs.
CoRR, 2024

Data Augmentation for Conversational AI.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024


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