Zhilin Wang

Venues

Frequent coauthors

Papers

1. The Best of Both Worlds: Combining Parallel and Sequential Inference Scaling via Aggregation Fine-Tuning
   ACL 2026 ·

   Yafu Li

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2. Diverging Preferences: When do Annotators Disagree and do Models Know?
   ICML 2025 ·

   Michael J. Q. Zhang

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3. HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models
   AAAI 2025 ·

   Xiongnan Jin

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4. HelpSteer2-Preference: Complementing Ratings with Preferences
   ICLR 2025 · Zhilin Wang
5. HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages
   NeurIPS 2025 · Zhilin Wang
6. HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
   ACL 2025 · Zhilin Wang
7. Lost in Literalism: How Supervised Training Shapes Translationese in LLMs
   ACL 2025 ·

   Yafu Li

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8. SEE: Continual Fine-tuning with Sequential Ensemble of Experts
   ACL 2025 · Zhilin Wang
9. Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
   ACL 2025 · Zhilin Wang
10. Data, Data Everywhere: A Guide for Pretraining Dataset Construction
    EMNLP 2024 ·

    Jupinder Parmar

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11. HelpSteer 2: Open-source dataset for training top-performing reward models
    NeurIPS 2024 · Zhilin Wang
12. HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM
    NAACL 2024 · Zhilin Wang
13. MAGE: Machine-generated Text Detection in the Wild
    ACL 2024 ·

    Yafu Li

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14. Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text
    ACL 2024 ·

    Yafu Li

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