Fengbin Zhu
Orcid: 0000-0001-6776-2040
According to our database1,
Fengbin Zhu
authored at least 17 papers
between 2021 and 2024.
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Bibliography
2024
Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector.
CoRR, 2024
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding.
CoRR, 2024
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG.
CoRR, 2024
Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers.
CoRR, 2024
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data.
CoRR, 2024
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs.
CoRR, 2023
SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
CoRR, 2021
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021