Portrait of Jihwan Kim

Jihwan Kim

Hi 👋, I am Jihwan. I am currently an integrated M.S./Ph.D. student at KAIST GSAI, advised by Professor Jaegul Choo. My research interests lie in the evaluation of agents, speech and audio processing, and multilingual LLMs.

I have worked on:

  1. Building an evaluation suite for web browsing agents;
  2. Building effective audio detection and contributing an open-source full-duplex audio pipeline;
  3. Synthesizing data that converts unverifiable multilingual RLVR tasks into verifiable ones.

Fun fact: I finally built something with my day6.ai.kr domain 🙂 — come and have a look!

Please feel free to contact me via email at jihvvan.kim@kaist.ac.kr.

News

Sep 08, 2026 Two papers accepted to EMNLP 2026 — cross-lingual RLVR via code-switched task synthesis to the main conference, and a next-scene-prediction benchmark for omni-models to Findings. 🎉
May 20, 2026 Two papers accepted to ACL 2026Adaptive Table Retrieval to Findings, and Sommelier to the Industry Track.
Mar 26, 2026 New preprint on speech: Sommelier — scalable, open multi-turn audio pre-processing for full-duplex speech language models.
Jan 22, 2026 LiveWeb-IE was accepted to ICLR 2026 as a poster. 🎉
Jan 06, 2026 The HyperCLOVA X 8B Omni and 32B Think technical reports are out on arXiv.

Selected Publications

  1. From Unverifiable Domain Text to Cross-Lingual RLVR via Code-Switched Task Synthesis
    Cheonbok Park*, Jihwan Kim*, Shinyoung Joo, Joosung Lee, Hwiyeol Jo, Jeonghoon Kim, and Jaegul Choo
    In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP). *Equal contribution , 2026
  2. Can Omni-models Imagine the Future? A Next Scene Prediction Benchmark for Multimodal World Modeling
    Junyeob Kim, Jihwan Kim, Minha Jhang, Sungwook Jeon, Hwiyeol Jo, Jeonghoon Kim, Sang-goo Lee, and Joosung Lee
    In Findings of the Association for Computational Linguistics: EMNLP 2026, 2026
  3. LiveWeb-IE: A Benchmark For Online Web Information Extraction
    Seungbin Yang*, Jihwan Kim*, Jaemin Choi, Dongjin Kim, Soyoung Yang, ChaeHun Park, and Jaegul Choo
    In Proceedings of the 14th International Conference on Learning Representations (ICLR). *Equal contribution. Poster , 2026
  4. Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method
    Taehee Kim, Seungbin Yang, Jihwan Kim, and Jaegul Choo
    In Findings of the Association for Computational Linguistics: ACL 2026, 2026
  5. ACL
    Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models
    Kyudan Jung, Jihwan Kim, Soyoon Kim, Jeonghoon Kim, Jaegul Choo, and Cheonbok Park
    In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL): Industry Track, 2026