Heda Wang

Orcid: 0009-0004-0184-9273

According to our database1, Heda Wang authored at least 15 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Research on the Application of Improved BERT-DPCNN Model in Chinese News Text Classification.
Concurr. Comput. Pract. Exp., February, 2025

CogLM: Tracking Cognitive Development of Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning.
CoRR, 2024

BatchEval: Towards Human-like Text Evaluation.
CoRR, 2024

Instruction Embedding: Latent Representations of Instructions Towards Task Identification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Focused Large Language Models are Stable Many-Shot Learners.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Generative Dense Retrieval: Memory Can Be a Burden.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

BatchEval: Towards Human-like Text Evaluation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Poor-Supervised Evaluation for SuperLLM via Mutual Consistency.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2021
Boosting Entity-aware Image Captioning with Multi-modal Knowledge Graph.
CoRR, 2021

2020
LAMP: Label Augmented Multimodal Pretraining.
CoRR, 2020

Valve Controller Design of Multi-Machine Power Systems Based on Adaptive Hamilton Minimax Method.
IEEE Access, 2020


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