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kailinjiang/README.md

I am an upcoming joint PhD student at the State Key Laboratory of General Artificial Intelligence (BIGAI) and the University of Science and Technology of China (USTC), supervised by Bin Li (USTC, 李斌). Currently, I am doing my internship in State Key Laboratory of General Artificial Intelligence and working on knowledge editing, knowledge injection, multimodal learning, continual learning!

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🔥 News

  • 2026.01:  🎉🎉 One paper have been accepted by ICLR 2026! Evolving Knowledge Injection!
  • 2026.01:  📣📣 I will serve as Reviewer in ICML 2026!
  • 2025.11:  🎉🎉 One paper have been accepted by AAAI 2026 as Oral Presentation! Multimodal Knowledge Conflict!
  • 2025.09:  📣📣 I will serve as Reviewer in ICLR 2026!
  • 2025.03:  🎉🎉 One paper have been accepted by ICLR 2025 Workshop SSI-FM! Multimodal Knowledge Editing!
  • 2025.02:  📣📣 I will serve as Reviewer in ICLR 2025 Workshop SSI-FM!
  • 2025.01:  🎉🎉 Two paper have been accepted by ICLR 2025! In Context Editing and Multimodal Knowledge Editing!
  • 2024.09:  📣📣 I joined the IIP Lab at the University of Science and Technology of China to pursue a doctoral degree!
  • 2024.06:  🎉🎉 I successfully completed my undergraduate studies from the College of Science of Sichuan Agricultural University!
  • 2024.02:  📣📣 I will go to the State Key Laboratory of General Artificial Intelligence (BIGAI) to start my internship!

📎 Homepages

📊 GitHub Stats

Kailin Jiang's GitHub Stats

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  1. bigai-ai/ICE bigai-ai/ICE Public

    【ICLR 2025 🔥】The code for Consistent In-Context Editing, an approach for tuning language models through contextual distributions, overcoming the limitations of traditional fine-tuning methods that …

    Python 55 4

  2. MMKE-Bench-ICLR/MMKE-Bench MMKE-Bench-ICLR/MMKE-Bench Public

    【ICLR 2025 🔥】MMKE-Bench, a challenging benchmark for evaluating diverse semantic editing in real-world scenarios.

    Python 21 1

  3. MLLMKCBENCH/MLLMKC MLLMKCBENCH/MLLMKC Public

    【AAAI 2026 🔥】A benchmark that evaluates multimodel knowledge conflicts for large multimodal model

    Python 21 1

  4. EVOKE-LMM/EVOKE EVOKE-LMM/EVOKE Public

    【ICLR 2026 🔥】This work introduces MMEVOKE benchmark to reveal challenges in knowledge injection and explores potential solutions.

    Python 83

  5. KORE-LMM/KORE KORE-LMM/KORE Public

    Knowledge injection method based on knowledge-oriented controls, achieving precision adaptation and powerful retention.

    Python 108 2

  6. MINED-LMM/MINED MINED-LMM/MINED Public

    Temporal Awareness Evaluation, Comprehensive Benchmarking, and Multi-Dimensional Analysis!

    Python 43 1