Yichi Zhang

Orcid: 0009-0000-9636-2564

Affiliations:
  • Alibaba Group, China


According to our database1, Yichi Zhang authored at least 20 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
Understanding by Reconstruction: Reversing the Software Development Process for LLM Pretraining.
CoRR, March, 2026

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures.
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
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey.
CoRR, 2024

Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance.
CoRR, 2024

Accelerating Clinical Evidence Synthesis with Large Language Models.
CoRR, 2024

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.
CoRR, 2024

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science.
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


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