SVM Answer Selection for Open-Domain Question Answering. - Jun Suzuki 001; Yutaka Sasaki; Eisaku Maeda (COLING, 2002)

Hierarchical Directed Acyclic Graph Kernel: Methods for Structured Natural Language Data. - Jun Suzuki 001; Tsutomu Hirao; Yutaka Sasaki; Eisaku Maeda (ACL, 2003)

Kernels for Structured Natural Language Data. - Jun Suzuki 001; Yutaka Sasaki; Eisaku Maeda (NIPS, 2003)

Convolution Kernels with Feature Selection for Natural Language Processing Tasks. - Jun Suzuki 001; Hideki Isozaki; Eisaku Maeda (ACL, 2004)

Dependency-based Sentence Alignment for Multiple Document Summarization. - Tsutomu Hirao; Jun Suzuki 001; Hideki Isozaki; Eisaku Maeda (COLING, 2004)

Boosting-based Parse Reranking with Subtree Features. - Taku Kudo; Jun Suzuki 001; Hideki Isozaki (ACL, 2005)

The NTT statistical machine translation system for IWSLT2005. - Hajime Tsukada; Taro Watanabe; Jun Suzuki 001; Hideto Kazawa; Hideki Isozaki (IWSLT, 2005)

Sequence and Tree Kernels with Statistical Feature Mining. - Jun Suzuki 001; Hideki Isozaki (NIPS, 2005)

Identifying Bloggers' Residential Areas. - Norihito Yasuda; Tsutomu Hirao; Jun Suzuki 001; Hideki Isozaki (AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs, 2006)

Training Conditional Random Fields with Multivariate Evaluation Measures. - Jun Suzuki 001; Erik McDermott; Hideki Isozaki (ACL, 2006)

NTT statistical machine translation for IWSLT 2006. - Taro Watanabe; Jun Suzuki 001; Hajime Tsukada; Hideki Isozaki (IWSLT, 2006)

Hierarchical directed acyclic graph kernel. - Jun Suzuki 001; Yutaka Sasaki; Eisaku Maeda (Syst. Comput. Jpn., 2006)

Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach. - Jun Suzuki 001; Akinori Fujino; Hideki Isozaki (EMNLP-CoNLL, 2007)

Online Large-Margin Training for Statistical Machine Translation. - Taro Watanabe; Jun Suzuki 001; Hajime Tsukada; Hideki Isozaki (EMNLP-CoNLL, 2007)

Larger feature set approach for machine translation in IWSLT 2007. - Taro Watanabe; Jun Suzuki 001; Katsuhito Sudoh; Hajime Tsukada; Hideki Isozaki (IWSLT, 2007)

Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data. - Jun Suzuki 001; Hideki Isozaki (ACL, 2008)

Multi-label Text Categorization with Model Combination based on F1-score Maximization. - Akinori Fujino; Hideki Isozaki; Jun Suzuki 001 (IJCNLP, 2008)

NTT statistical machine translation system for IWSLT 2008. - Katsuhito Sudoh; Taro Watanabe; Jun Suzuki 001; Hajime Tsukada; Hideki Isozaki (IWSLT, 2008)

A Syntax-Free Approach to Japanese Sentence Compression. - Tsutomu Hirao; Jun Suzuki 001; Hideki Isozaki (ACL/IJCNLP, 2009)

An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing. - Jun Suzuki 001; Hideki Isozaki; Xavier Carreras; Michael Collins 001 (EMNLP, 2009)

Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning. - Jun Suzuki 001; Hideki Isozaki; Masaaki Nagata (ACL (2), 2011)

Distributed Minimum Error Rate Training of SMT using Particle Swarm Optimization. - Jun Suzuki 001; Kevin Duh; Masaaki Nagata (IJCNLP, 2011)

A Query-Focused Summarization Method that Guarantees the Inclusion of Query Words. - Norihito Yasuda; Masaaki Nishino; Tsutomu Hirao; Jun Suzuki 001; Ryoji Kataoka (DEXA Workshops, 2012)

Supervised Model Learning with Feature Grouping based on a Discrete Constraint. - Jun Suzuki 001; Masaaki Nagata (ACL (2), 2013)

Text Summarization while Maximizing Multiple Objectives with Lagrangian Relaxation. - Masaaki Nishino; Norihito Yasuda; Tsutomu Hirao; Jun Suzuki 001; Masaaki Nagata (ECIR, 2013)

Shift-Reduce Word Reordering for Machine Translation. - Katsuhiko Hayashi 001; Katsuhito Sudoh; Hajime Tsukada; Jun Suzuki 001; Masaaki Nagata (EMNLP, 2013)

NTT-NII Statistical Machine Translation for NTCIR-10 PatentMT. - Katsuhito Sudoh; Jun Suzuki 001; Hajime Tsukada; Masaaki Nagata; Sho Hoshino; Yusuke Miyao (NTCIR, 2013)

Lagrangian Relaxation for Scalable Text Summarization while Maximizing Multiple Objectives. - Masaaki Nishino; Norihito Yasuda; Tsutomu Hirao; Jun Suzuki 001; Masaaki Nagata (Inf. Media Technol., 2013)

Fused Feature Representation Discovery for High-Dimensional and Sparse Data. - Jun Suzuki 001; Masaaki Nagata (AAAI, 2014)

Dependency-based Discourse Parser for Single-Document Summarization. - Yasuhisa Yoshida; Jun Suzuki 001; Tsutomu Hirao; Masaaki Nagata (EMNLP, 2014)

Restructuring output layers of deep neural networks using minimum risk parameter clustering. - Yotaro Kubo; Jun Suzuki 001; Takaaki Hori; Atsushi Nakamura (INTERSPEECH, 2014)

SCT-D3 at the NTCIR-11 MedNLP-2 Task. - Akinori Fujino; Jun Suzuki 001; Tsutomu Hirao; Hisashi Kurasawa; Katsuyoshi Hayashi (NTCIR, 2014)

A Unified Learning Framework of Skip-Grams and Global Vectors. - Jun Suzuki 001; Masaaki Nagata (ACL (2), 2015)

Summarizing a Document by Trimming the Discourse Tree. - Tsutomu Hirao; Masaaki Nishino; Yasuhisa Yoshida; Jun Suzuki 001; Norihito Yasuda; Masaaki Nagata (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Phrase Table Pruning via Submodular Function Maximization. - Masaaki Nishino; Jun Suzuki 001; Masaaki Nagata (ACL (2), 2016)

Neural Headline Generation on Abstract Meaning Representation. - Sho Takase; Jun Suzuki 001; Naoaki Okazaki; Tsutomu Hirao; Masaaki Nagata (EMNLP, 2016)

Learning Compact Neural Word Embeddings by Parameter Space Sharing. - Jun Suzuki 001; Masaaki Nagata (IJCAI, 2016)

Right-truncatable Neural Word Embeddings. - Jun Suzuki 001; Masaaki Nagata (HLT-NAACL, 2016)

Shift-reduce Spinal TAG Parsing with Dynamic Programming. - Katsuhiko Hayashi 001; Jun Suzuki 001; Masaaki Nagata (Inf. Media Technol., 2016)

Exploration Bonuses Based on Upper Confidence Bounds for Sparse Reward Games. - Naoki Mizukami; Jun Suzuki 001; Hirotaka Kameko; Yoshimasa Tsuruoka (ACG, 2017)

NTT Neural Machine Translation Systems at WAT 2017. - Makoto Morishita; Jun Suzuki 001; Masaaki Nagata (WAT@IJCNLP, 2017)

Enumeration of Extractive Oracle Summaries. - Tsutomu Hirao; Masaaki Nishino; Jun Suzuki 001; Masaaki Nagata (EACL (1), 2017)

Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization. - Jun Suzuki 001; Masaaki Nagata (EACL (2), 2017)

Deep Reinforcement Learning with Hidden Layers on Future States. - Hirotaka Kameko; Jun Suzuki 001; Naoki Mizukami; Yoshimasa Tsuruoka (CGW@IJCAI, 2017)

Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels. - Itsumi Saito; Jun Suzuki 001; Kyosuke Nishida; Kugatsu Sadamitsu; Satoshi Kobashikawa; Ryo Masumura; Yuji Matsumoto 001; Junji Tomita (IJCNLP(2), 2017)

Input-to-Output Gate to Improve RNN Language Models. - Sho Takase; Jun Suzuki 001; Masaaki Nagata (IJCNLP(2), 2017)

RNN-based Encoder-decoder Approach with Word Frequency Estimation. - Jun Suzuki 001; Masaaki Nagata (CoRR, 2017)

Source-side Prediction for Neural Headline Generation. - Shun Kiyono; Sho Takase; Jun Suzuki 001; Naoaki Okazaki; Kentaro Inui; Masaaki Nagata (CoRR, 2017)

An Empirical Study of Building a Strong Baseline for Constituency Parsing. - Jun Suzuki 001; Sho Takase; Hidetaka Kamigaito; Makoto Morishita; Masaaki Nagata (ACL (2), 2018)

Improving Neural Machine Translation by Incorporating Hierarchical Subword Features. - Makoto Morishita; Jun Suzuki 001; Masaaki Nagata (COLING, 2018)

Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. - Shun Kiyono; Sho Takase; Jun Suzuki 001; Naoaki Okazaki; Kentaro Inui; Masaaki Nagata (BlackboxNLP@EMNLP, 2018)

Direct Output Connection for a High-Rank Language Model. - Sho Takase; Jun Suzuki 001; Masaaki Nagata (EMNLP, 2018)

Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. - Sho Yokoi; Sosuke Kobayashi; Kenji Fukumizu; Jun Suzuki 001; Kentaro Inui (EMNLP, 2018)

Interpretable Adversarial Perturbation in Input Embedding Space for Text. - Motoki Sato; Jun Suzuki 001; Hiroyuki Shindo; Yuji Matsumoto 001 (IJCAI, 2018)

Reducing Odd Generation from Neural Headline Generation. - Shun Kiyono; Sho Takase; Jun Suzuki 001; Naoaki Okazaki; Kentaro Inui; Masaaki Nagata (PACLIC, 2018)

NTT's Neural Machine Translation Systems for WMT 2018. - Makoto Morishita; Jun Suzuki 001; Masaaki Nagata (WMT (shared task), 2018)

Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework. - Shun Kiyono; Jun Suzuki 001; Kentaro Inui (AAAI, 2019)

Character n-Gram Embeddings to Improve RNN Language Models. - Sho Takase; Jun Suzuki 001; Masaaki Nagata (AAAI, 2019)

An Empirical Study of Span Representations in Argumentation Structure Parsing. - Tatsuki Kuribayashi; Hiroki Ouchi; Naoya Inoue; Paul Reisert; Toshinori Miyoshi; Jun Suzuki 001; Kentaro Inui (ACL (1), 2019)

Effective Adversarial Regularization for Neural Machine Translation. - Motoki Sato; Jun Suzuki 001; Shun Kiyono (ACL (1), 2019)

NTT Neural Machine Translation Systems at WAT 2019. - Makoto Morishita; Jun Suzuki 001; Masaaki Nagata (WAT@EMNLP-IJCNLP, 2019)

The AIP-Tohoku System at the BEA-2019 Shared Task. - Hiroki Asano; Masato Mita; Tomoya Mizumoto; Jun Suzuki 001 (BEA@ACL, 2019)

TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. - Masato Hagiwara; Takumi Ito; Tatsuki Kuribayashi; Jun Suzuki 001; Kentaro Inui (EMNLP/IJCNLP (3), 2019)

An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. - Shun Kiyono; Jun Suzuki 001; Masato Mita; Tomoya Mizumoto; Kentaro Inui (EMNLP/IJCNLP (1), 2019)

Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis. - Hiroki Ouchi; Jun Suzuki 001; Kentaro Inui (EMNLP/IJCNLP (1), 2019)

Select and Attend: Towards Controllable Content Selection in Text Generation. - Xiaoyu Shen 001; Jun Suzuki 001; Kentaro Inui; Hui Su; Dietrich Klakow; Satoshi Sekine (EMNLP/IJCNLP (1), 2019)

Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. - Takumi Ito; Tatsuki Kuribayashi; Hayato Kobayashi; Ana Brassard; Masato Hagiwara; Jun Suzuki 001; Kentaro Inui (INLG, 2019)

ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper. - Hirofumi Inaguma; Shun Kiyono; Nelson Enrique Yalta Soplin; Jun Suzuki 001; Kevin Duh; Shinji Watanabe 001 (IWSLT, 2019)

Subword-based Compact Reconstruction of Word Embeddings. - Shota Sasaki; Jun Suzuki 001; Kentaro Inui (NAACL-HLT (1), 2019)

The Sally Smedley Hyperpartisan News Detector at SemEval-2019 Task 4. - Kazuaki Hanawa; Shota Sasaki; Hiroki Ouchi; Jun Suzuki 001; Kentaro Inui (SemEval@NAACL-HLT, 2019)

Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. - Jun Suzuki 001; Yoshihiko Suhara; Hiroyuki Toda; Kyosuke Nishida (ACM Trans. Spatial Algorithms Syst., 2019)

Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. - Hiroaki Funayama; Shota Sasaki; Yuichiroh Matsubayashi; Tomoya Mizumoto; Jun Suzuki 001; Masato Mita; Kentaro Inui (ACL (student), 2020)

Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. - Masahiro Kaneko; Masato Mita; Shun Kiyono; Jun Suzuki 001; Kentaro Inui (ACL, 2020)

Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. - Takuma Kato; Kaori Abe; Hiroki Ouchi; Shumpei Miyawaki; Jun Suzuki 001; Kentaro Inui (ACL (student), 2020)

Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. - Tatsuki Kuribayashi; Takumi Ito; Jun Suzuki 001; Kentaro Inui (ACL, 2020)

Single Model Ensemble using Pseudo-Tags and Distinct Vectors. - Ryosuke Kuwabara; Jun Suzuki 001; Hideki Nakayama (ACL, 2020)

Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. - Hiroki Ouchi; Jun Suzuki 001; Sosuke Kobayashi; Sho Yokoi; Tatsuki Kuribayashi; Ryuto Konno; Kentaro Inui (ACL, 2020)

Evaluating Dialogue Generation Systems via Response Selection. - Shiki Sato; Reina Akama; Hiroki Ouchi; Jun Suzuki 001; Kentaro Inui (ACL, 2020)

PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. - Ryo Fujii; Masato Mita; Kaori Abe; Kazuaki Hanawa; Makoto Morishita; Jun Suzuki 001; Kentaro Inui (COLING, 2020)

Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. - Reina Akama; Sho Yokoi; Jun Suzuki 001; Kentaro Inui (EMNLP (1), 2020)

Langsmith: An Interactive Academic Text Revision System. - Takumi Ito; Tatsuki Kuribayashi; Masatoshi Hidaka; Jun Suzuki 001; Kentaro Inui (EMNLP (Demos), 2020)

Efficient Estimation of Influence of a Training Instance. - Sosuke Kobayashi; Sho Yokoi; Jun Suzuki 001; Kentaro Inui (SustaiNLP@EMNLP, 2020)

A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. - Masato Mita; Shun Kiyono; Masahiro Kaneko; Jun Suzuki 001; Kentaro Inui (EMNLP (Findings), 2020)

Word Rotator's Distance. - Sho Yokoi; Ryo Takahashi; Reina Akama; Jun Suzuki 001; Kentaro Inui (EMNLP (1), 2020)

JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus. - Makoto Morishita; Jun Suzuki 001; Masaaki Nagata (LREC, 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Tohoku-AIP-NTT at WMT 2020 News Translation Task. - Shun Kiyono; Takumi Ito; Ryuto Konno; Makoto Morishita; Jun Suzuki 001 (WMT@EMNLP, 2020)

Utterance Pair Scoring for Noisy Dialogue Data Filtering. - Reina Akama; Sho Yokoi; Jun Suzuki 001; Kentaro Inui (CoRR, 2020)

Word Rotator's Distance: Decomposing Vectors Gives Better Representations. - Sho Yokoi; Ryo Takahashi; Reina Akama; Jun Suzuki 001; Kentaro Inui (CoRR, 2020)

Massive Exploration of Pseudo Data for Grammatical Error Correction. - Shun Kiyono; Jun Suzuki 001; Tomoya Mizumoto; Kentaro Inui (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Context-aware Neural Machine Translation with Mini-batch Embedding. - Makoto Morishita; Jun Suzuki 001; Tomoharu Iwata; Masaaki Nagata (EACL, 2021)

SHAPE : Shifted Absolute Position Embedding for Transformers. - Shun Kiyono; Sosuke Kobayashi; Jun Suzuki 001; Kentaro Inui (EMNLP (1), 2021)

Adaptive User Interface for Smart Programming Exercise. - Yutaka Watanobe; Md. Mostafizer Rahman; Alexander Vazhenin; Jun Suzuki 001 (TALE, 2021)

An Investigation Between Schema Linking and Text-to-SQL Performance. - Yasufumi Taniguchi; Hiroki Nakayama; Takahiro Kubo; Jun Suzuki 001 (CoRR, 2021)

Instance-Based Neural Dependency Parsing. - Hiroki Ouchi; Jun Suzuki 001; Sosuke Kobayashi; Sho Yokoi; Tatsuki Kuribayashi; Masashi Yoshikawa; Kentaro Inui (Trans. Assoc. Comput. Linguistics, 2021)

Subword-Based Compact Reconstruction for Open-Vocabulary Neural Word Embeddings. - Shota Sasaki; Jun Suzuki 001; Kentaro Inui (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Scene-Text Aware Image and Text Retrieval with Dual-Encoder. - Shumpei Miyawaki; Taku Hasegawa; Kyosuke Nishida; Takuma Kato; Jun Suzuki 001 (ACL (student), 2022)

Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer Scoring. - Hiroaki Funayama; Tasuku Sato; Yuichiroh Matsubayashi; Tomoya Mizumoto; Jun Suzuki 001; Kentaro Inui (AIED (1), 2022)

Target-Guided Open-Domain Conversation Planning. - Yosuke Kishinami; Reina Akama; Shiki Sato; Ryoko Tokuhisa; Jun Suzuki 001; Kentaro Inui (COLING, 2022)

Domain Adaptation of Machine Translation with Crowdworkers. - Makoto Morishita; Jun Suzuki 001; Masaaki Nagata (EMNLP (Industry Track), 2022)

Chat Translation Error Detection for Assisting Cross-lingual Communications. - Yunmeng Li; Jun Suzuki 001; Makoto Morishita; Kaori Abe; Ryoko Tokuhisa; Ana Brassard; Kentaro Inui (Eval4NLP, 2022)

Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems. - Shiki Sato; Yosuke Kishinami; Hiroaki Sugiyama; Reina Akama; Ryoko Tokuhisa; Jun Suzuki 001 (AACL/IJCNLP 2022 (Student Research Workshop), 2022)

JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus. - Makoto Morishita; Katsuki Chousa; Jun Suzuki 001; Masaaki Nagata (LREC, 2022)

N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models. - Shiki Sato; Reina Akama; Hiroki Ouchi; Ryoko Tokuhisa; Jun Suzuki 001; Kentaro Inui (SIGDIAL, 2022)

Prompt Sensitivity of Language Model for Solving Programming Problems. - Atsushi Shirafuji; Takumi Ito; Makoto Morishita; Yuki Nakamura; Yusuke Oda; Jun Suzuki 001; Yutaka Watanobe (SoMeT, 2022)

NT5 at WMT 2022 General Translation Task. - Makoto Morishita; Keito Kudo; Yui Oka; Katsuki Chousa; Shun Kiyono; Sho Takase; Jun Suzuki 001 (WMT, 2022)

Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model. - Sosuke Kobayashi; Shun Kiyono; Jun Suzuki 001; Kentaro Inui (CoRR, 2022)

On Layer Normalizations and Residual Connections in Transformers. - Sho Takase; Shun Kiyono; Sosuke Kobayashi; Jun Suzuki 001 (CoRR, 2022)

Hunt for Buried Treasures: Extracting Unclaimed Embodiments from Patent Specifications. - Chikara Hashimoto; Gautam Kumar; Shuichiro Hashimoto; Jun Suzuki 001 (ACL (industry), 2023)

B2T Connection: Serving Stability and Performance in Deep Transformers. - Sho Takase; Shun Kiyono; Sosuke Kobayashi; Jun Suzuki 001 (ACL (Findings), 2023)

Refactoring Programs Using Large Language Models with Few-Shot Examples. - Atsushi Shirafuji; Yusuke Oda; Jun Suzuki 001; Makoto Morishita; Yutaka Watanobe (APSEC, 2023)

Investigating the Effectiveness of Multiple Expert Models Collaboration. - Ikumi Ito; Takumi Ito; Jun Suzuki 001; Kentaro Inui (EMNLP (Findings), 2023)

A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video. - Keito Kudo; Haruki Nagasawa; Jun Suzuki 001; Nobuyuki Shimizu (EMNLP, 2023)

Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. - Mengyu Ye; Tatsuki Kuribayashi; Jun Suzuki 001; Goro Kobayashi; Hiroaki Funayama (EMNLP, 2023)

Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers. - Takumi Ito; Naomi Yamashita; Tatsuki Kuribayashi; Masatoshi Hidaka; Jun Suzuki 001; Ge Gao 001; Jack Jamieson; Kentaro Inui (UIST, 2023)

SKIM at WMT 2023 General Translation Task. - Keito Kudo; Takumi Ito; Makoto Morishita; Jun Suzuki 001 (WMT, 2023)

Exploring the Robustness of Large Language Models for Solving Programming Problems. - Atsushi Shirafuji; Yutaka Watanobe; Takumi Ito; Makoto Morishita; Yuki Nakamura; Yusuke Oda; Jun Suzuki 001 (CoRR, 2023)

Spike No More: Stabilizing the Pre-training of Large Language Models. - Sho Takase; Shun Kiyono; Sosuke Kobayashi; Jun Suzuki 001 (CoRR, 2023)

Examining the effect of whitening on static and contextualized word embeddings. - Shota Sasaki; Benjamin Heinzerling; Jun Suzuki 001; Kentaro Inui (Inf. Process. Manag., 2023)

Extracting representative subset from extensive text data for training pre-trained language models. - Jun Suzuki 001; Heiga Zen; Hideto Kazawa (Inf. Process. Manag., 2023)

Aoba_v3 bot: a multimodal chatbot system combining rules and various response generation models. - Shoji Moriya; Daiki Shiono; Riki Fujihara; Yosuke Kishinami; Subaru Kimura; Shusaku Sone; Reina Akama; Yuta Matsumoto; Jun Suzuki 001; Kentaro Inui (Adv. Robotics, 2023)

InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. - Ryota Tanaka; Taichi Iki; Kyosuke Nishida; Kuniko Saito; Jun Suzuki 001 (AAAI, 2024)

A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems. - Shiki Sato; Reina Akama; Jun Suzuki 001; Kentaro Inui (ACL (Findings), 2024)

Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. - Masato Mita; Keisuke Sakaguchi; Masato Hagiwara; Tomoya Mizumoto; Jun Suzuki 001; Kentaro Inui (BEA, 2024)

The Impact of Integration Step on Integrated Gradients. - Masahiro Makino; Yuya Asazuma; Shota Sasaki; Jun Suzuki 001 (EACL (Student Research Workshop), 2024)

Pruning Multilingual Large Language Models for Multilingual Inference. - Hwichan Kim; Jun Suzuki 001; Tosho Hirasawa; Mamoru Komachi (EMNLP (Findings), 2024)

Detecting Response Generation Not Requiring Factual Judgment. - Ryohei Kamei; Daiki Shiono; Reina Akama; Jun Suzuki 001 (NAACL (Student Research Workshop), 2024)

Document-level Translation with LLM Reranking: Team-J at WMT 2024 General Translation Task. - Keito Kudo; Hiroyuki Deguchi 002; Makoto Morishita; Ryo Fujii; Takumi Ito; Shintaro Ozaki; Koki Natsumi; Kai Sato; Kazuki Yano; Ryosuke Takahashi; Subaru Kimura; Tomomasa Hara; et al. (WMT, 2024)

LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. - Akiko Aizawa; Eiji Aramaki; Bowen Chen; Fei Cheng 002; Hiroyuki Deguchi 002; Rintaro Enomoto; Kazuki Fujii; Kensuke Fukumoto; Takuya Fukushima; Namgi Han; Yuto Harada; Chikara Hashimoto; et al. (CoRR, 2024)

Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection. - Subaru Kimura; Ryota Tanaka; Shumpei Miyawaki; Jun Suzuki 001; Keisuke Sakaguchi (CoRR, 2024)

An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication. - Yunmeng Li; Jun Suzuki 001; Makoto Morishita; Kaori Abe; Kentaro Inui (CoRR, 2024)

Can Input Attributions Interpret the Inductive Reasoning Process Elicited in In-Context Learning? - Mengyu Ye; Tatsuki Kuribayashi; Goro Kobayashi; Jun Suzuki 001 (CoRR, 2024)

Can Input Attributions Explain Inductive Reasoning in In-Context Learning? - Mengyu Ye; Tatsuki Kuribayashi; Goro Kobayashi; Jun Suzuki 001 (ACL (Findings), 2025)

Predicting Fine-tuned Performance on Larger Datasets Before Creating Them. - Toshiki Kuramoto; Jun Suzuki 001 (COLING (Industry), 2025)

MQM-Chat: Multidimensional Quality Metrics for Chat Translation. - Yunmeng Li; Jun Suzuki 001; Makoto Morishita; Kaori Abe; Kentaro Inui (COLING, 2025)

Evaluating Model Alignment with Human Perception: A Study on Shitsukan in LLMs and LVLMs. - Daiki Shiono; Ana Brassard; Yukiko Ishizuki; Jun Suzuki 001 (COLING, 2025)

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents. - Ryota Tanaka; Taichi Iki; Taku Hasegawa; Kyosuke Nishida; Kuniko Saito; Jun Suzuki 001 (CVPR, 2025)

Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization. - Taishi Nakamura; Takuya Akiba; Kazuki Fujii; Yusuke Oda; Rio Yokota; Jun Suzuki 001 (ICLR, 2025)

STEP: Staged Parameter-Efficient Pre-training for Large Language Models. - Kazuki Yano; Takumi Ito; Jun Suzuki 001 (NAACL (Short Papers), 2025)

Deterministic Compression of Word Embeddings. - Yuki Nakamura; Jun Suzuki 001; Takumi Ito; Kentaro Inui (IEEE Access, 2025)

Reference-free Evaluation Metrics for Text Generation: A Survey. - Takumi Ito; Kees van Deemter; Jun Suzuki 001 (CoRR, 2025)

Efficient Construction of Model Family through Progressive Training Using Model Expansion. - Kazuki Yano; Sho Takase; Sosuke Kobayashi; Shun Kiyono; Jun Suzuki 001 (CoRR, 2025)

How Stylistic Similarity Shapes Preferences in Dialogue Dataset with User and Third Party Evaluations. - Ikumi Numaya; Shoji Moriya; Shiki Sato; Reina Akama; Jun Suzuki 001 (CoRR, 2025)