Fangchao Liu

Orcid: 0009-0000-6646-1369

According to our database1, Fangchao Liu authored at least 14 papers between 2020 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
Process In-Context Learning: Enhancing Mathematical Reasoning via Dynamic Demonstration Insertion.
CoRR, January, 2026

2025
Attention-Enhanced Multi-Agent Reinforcement Learning for Priority-Aware Traffic Signal Control.
Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

P3: Prompts Promote Prompting.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Pseudo-Spectral Spatial Feature Extraction and Enhanced Fusion Image for Efficient Meter-Sized Lunar Impact Crater Automatic Detection in Digital Orthophoto Map.
Sensors, August, 2024

Towards a Unified Language Model for Knowledge-Intensive Tasks Utilizing External Corpus.
CoRR, 2024

Generative Retrieval via Term Set Generation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2022
Pre-training to Match for Unified Low-shot Relation Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
From Learning-to-Match to Learning-to-Discriminate: Global Prototype Learning for Few-shot Relation Classification.
Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

Element Intervention for Open Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension.
CoRR, 2020


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