Wendi Cui

Orcid: 0009-0008-0286-4634

According to our database1, Wendi Cui authored at least 14 papers between 2024 and 2025.

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

Timeline

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Links

On csauthors.net:

Bibliography

2025
SCE: Scalable Consistency Ensembles Make Blackbox Large Language Model Generation More Reliable.
CoRR, March, 2025

Towards Statistical Factuality Guarantee for Large Vision-Language Models.
CoRR, February, 2025

Automatic Prompt Optimization via Heuristic Search: A Survey.
CoRR, February, 2025

Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

EmoHuman: Fine-Grained Emotion-Controlled Talking Head Generation via Audio-Text Multimodal Detangling.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Heuristic-based Search Algorithm in Automatic Instruction-focused Prompt Optimization: A Survey.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution.
CoRR, 2024

PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models.
CoRR, 2024

DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models.
CoRR, 2024

Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Video Understanding based Multiple Entity Collaborative Scheduling for Social Governance.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024


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