Danqing Wang

Orcid: 0009-0002-4611-628X

According to our database1, Danqing Wang authored at least 30 papers between 2018 and 2024.

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

Timeline

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Links

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Bibliography

2024
Scaling LLM Inference with Optimized Sample Compute Allocation.
CoRR, 2024

Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models.
CoRR, 2024

TypedThinker: Typed Thinking Improves Large Language Model Reasoning.
CoRR, 2024

Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning.
CoRR, 2024

Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Personalized Alignment for Evaluating Open-ended Text Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
End-to-end Story Plot Generator.
CoRR, 2023

Learning Personalized Story Evaluation.
CoRR, 2023

Learn from Mistakes through Cooperative Interaction with Study Assistant.
CoRR, 2023

On Pre-trained Language Models for Antibody.
CoRR, 2023

ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Accelerating Antimicrobial Peptide Discovery with Latent Structure.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On Pre-training Language Model for Antibody.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Learning from Mistakes via Cooperative Study Assistant for Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model.
CoRR, 2022

MTG: A Benchmark Suite for Multilingual Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021
CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level.
CoRR, 2021

MTG: A Benchmarking Suite for Multilingual Text Generation.
CoRR, 2021

CNewSum: A Large-Scale Summarization Dataset with Human-Annotated Adequacy and Deducibility Level.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Contrastive Aligned Joint Learning for Multilingual Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Enhancing Scientific Papers Summarization with Citation Graph.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.
CoRR, 2020

An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Extractive Summarization as Text Matching.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Heterogeneous Graph Neural Networks for Extractive Document Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A Closer Look at Data Bias in Neural Extractive Summarization Models.
CoRR, 2019

Exploring Domain Shift in Extractive Text Summarization.
CoRR, 2019

Searching for Effective Neural Extractive Summarization: What Works and What's Next.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Handwritten Chinese Character Recognition Based on Domain-Specific Knowledge.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018


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