Xueru Wen

According to our database1, Xueru Wen authored at least 14 papers between 2022 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models.
CoRR, March, 2025

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch.
CoRR, February, 2025

Scalable Oversight for Superhuman AI via Recursive Self-Critiquing.
CoRR, February, 2025

Transferable Post-training via Inverse Value Learning.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?
CoRR, 2024

Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic.
CoRR, 2024

On-Policy Fine-grained Knowledge Feedback for Hallucination Mitigation.
CoRR, 2024

2023
End-to-End Entity Detection with Proposer and Regressor.
Neural Process. Lett., December, 2023

Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition.
CoRR, 2022


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