Yichi Zhang
Orcid: 0009-0000-9636-2564Affiliations:
- Alibaba Group, China
According to our database1,
Yichi Zhang authored at least 20 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Understanding by Reconstruction: Reversing the Software Development Process for LLM Pretraining.
CoRR, March, 2026
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
CoRR, October, 2025
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Looking Beyond Text: Reducing Language Bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
2024
CoRR, 2024
Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance.
CoRR, 2024
CoRR, 2024
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.
CoRR, 2023
Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond.
CoRR, 2023
2021
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph.
CoRR, 2021
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020