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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, ๆŽๆ–Œ). 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!

๐Ÿ”ฅ News

  • 2026.01: ย ๐ŸŽ‰๐ŸŽ‰ One paper have been accepted by ICLR 2026! Evolving Knowledge Injection!
  • 2026.01: ย ๐Ÿ“ฃ๐Ÿ“ฃ I will serve as Reviewer in ICML 2026!
  • 2025.11: ย ๐ŸŽ‰๐ŸŽ‰ One paper have been accepted by AAAI 2026 as Oral Presentation! Multimodal Knowledge Conflict!
  • 2025.09: ย ๐Ÿ“ฃ๐Ÿ“ฃ I will serve as Reviewer in ICLR 2026!
  • 2025.03: ย ๐ŸŽ‰๐ŸŽ‰ One paper have been accepted by ICLR 2025 Workshop SSI-FM! Multimodal Knowledge Editing!
  • 2025.02: ย ๐Ÿ“ฃ๐Ÿ“ฃ I will serve as Reviewer in ICLR 2025 Workshop SSI-FM!
  • 2025.01: ย ๐ŸŽ‰๐ŸŽ‰ Two paper have been accepted by ICLR 2025! In Context Editing and Multimodal Knowledge Editing!
  • 2024.09: ย ๐Ÿ“ฃ๐Ÿ“ฃ I joined the IIP Lab at the University of Science and Technology of China to pursue a doctoral degree!
  • 2024.06: ย ๐ŸŽ‰๐ŸŽ‰ I successfully completed my undergraduate studies from the College of Science of Sichuan Agricultural University!
  • 2024.02: ย ๐Ÿ“ฃ๐Ÿ“ฃ I will go to the State Key Laboratory of General Artificial Intelligence (BIGAI) to start my internship!

๐Ÿ“Ž Homepages

๐Ÿ“Š GitHub Stats

Kailin Jiang's GitHub Stats

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

    ใ€ICLR 2025 ๐Ÿ”ฅใ€‘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 โ€ฆ

    Python 49 4

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

    ใ€ICLR 2025 ๐Ÿ”ฅใ€‘MMKE-Bench, a challenging benchmark for evaluating diverse semantic editing in real-world scenarios.

    Python 15 1

  3. MLLMKCBENCH/MLLMKC MLLMKCBENCH/MLLMKC Public

    ใ€AAAI 2026 ๐Ÿ”ฅใ€‘A benchmark that evaluates multimodel knowledge conflicts for large multimodal model

    Python 16 1

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

    ใ€ICLR 2026 ๐Ÿ”ฅใ€‘This work introduces MMEVOKE benchmark to reveal challenges in knowledge injection and explores potential solutions.

    Python 8

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

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

    Python 22

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

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

    Python 5 1