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Jun Suzuki
14 papers at tracked venues · 7 at CORE A* · active 2024–2026
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Venues
ACL
×3
EACL
×2
EMNLP
×2
NAACL
×2
AAAI
×1
CVPR
×1
ICLR
×1
IUI
×1
NeurIPS
×1
Frequent coauthors
Kazuki Yano
×4
Reina Akama
×3
Ryohei Kamei
×2
Mengyu Ye
×2
Tatsuki Kuribayashi
×2
Takumi Ito
×2
Ryota Tanaka
×2
Taichi Iki
×2
Kyosuke Nishida
×2
Kuniko Saito
×2
Keigo Shibata
×1
Ryosuke Takahashi
×1
Papers
Suppressing Final Layer Hidden State Jumps in Transformer Pretraining
BibTeX ⧉
EACL 2026
·
Keigo Shibata
,
Kazuki Yano
,
Ryosuke Takahashi
,
Jaesung Lee
,
Wataru Ikeda
,
Jun Suzuki
TimeMachine-bench: A Benchmark for Evaluating Model Capabilities in Repository-Level Migration Tasks
BibTeX ⧉
EACL 2026
·
Ryo Fujii
,
Makoto Morishita
,
Kazuki Yano
,
Jun Suzuki
Vulnerability of LLM Outputs to Heuristics-Inducing Prompt Structures
BibTeX ⧉
IUI 2026
·
Toshiki Kuramoto
,
Ryohei Kamei
,
Jun Suzuki
Can Input Attributions Explain Inductive Reasoning in In-Context Learning?
BibTeX ⧉
ACL 2025
·
Mengyu Ye
,
Tatsuki Kuribayashi
,
Goro Kobayashi
,
Jun Suzuki
Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization
BibTeX ⧉
ICLR 2025
·
Taishi Nakamura
,
Takuya Akiba
,
Kazuki Fujii
,
Yusuke Oda
,
Rio Yokota
,
Jun Suzuki
Enhancing Persuasive Dialogue Agents by Synthesizing Cross-Disciplinary Communication Strategies
BibTeX ⧉
EMNLP 2025
·
Shinnosuke Nozue
,
Yuto Nakano
,
Yotaro Watanabe
,
Meguru Takasaki
,
Shoji Moriya
,
Reina Akama
,
Jun Suzuki
STEP: Staged Parameter-Efficient Pre-training for Large Language Models
BibTeX ⧉
NAACL 2025
·
Kazuki Yano
,
Takumi Ito
,
Jun Suzuki
Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders
BibTeX ⧉
NeurIPS 2025
·
Mengyu Ye
,
Jun Suzuki
,
Tatsuro Inaba
,
Tatsuki Kuribayashi
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
BibTeX ⧉
CVPR 2025
·
Ryota Tanaka
,
Taichi Iki
,
Taku Hasegawa
,
Kyosuke Nishida
,
Kuniko Saito
,
Jun Suzuki
A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems
BibTeX ⧉
ACL 2024
·
Shiki Sato
,
Reina Akama
,
Jun Suzuki
,
Kentaro Inui
Detecting Response Generation Not Requiring Factual Judgment
BibTeX ⧉
NAACL 2024
·
Ryohei Kamei
,
Daiki Shiono
,
Reina Akama
,
Jun Suzuki
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions
BibTeX ⧉
AAAI 2024
·
Ryota Tanaka
,
Taichi Iki
,
Kyosuke Nishida
,
Kuniko Saito
,
Jun Suzuki
Pruning Multilingual Large Language Models for Multilingual Inference
BibTeX ⧉
EMNLP 2024
·
Hwichan Kim
,
Jun Suzuki
,
Tosho Hirasawa
,
Mamoru Komachi
STEP: Staged Parameter-Efficient Pre-training for Large Language Models
BibTeX ⧉
ACL 2024
·
Kazuki Yano
,
Takumi Ito
,
Jun Suzuki