Dynamic Entity Representation with Max-pooling Improves Machine Reading. - Sosuke Kobayashi; Ran Tian; Naoaki Okazaki; Kentaro Inui (HLT-NAACL, 2016)

Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection. - Yuki Igarashi; Hiroya Komatsu; Sosuke Kobayashi; Naoaki Okazaki; Kentaro Inui (SemEval@NAACL-HLT, 2016)

An RNN-based Binary Classifier for the Story Cloze Test. - Melissa Roemmele; Sosuke Kobayashi; Naoya Inoue; Andrew Gordon (LSDSem@EACL, 2017)

Generating Stylistically Consistent Dialog Responses with Transfer Learning. - Reina Akama; Kazuaki Inada; Naoya Inoue; Sosuke Kobayashi; Kentaro Inui (IJCNLP(2), 2017)

A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. - Sosuke Kobayashi; Naoaki Okazaki; Kentaro Inui (IJCNLP(1), 2017)

Unsupervised Learning of Style-sensitive Word Vectors. - Reina Akama; Kento Watanabe; Sho Yokoi; Sosuke Kobayashi; Kentaro Inui (ACL (2), 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)

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions. - Jun Hatori; Yuta Kikuchi; Sosuke Kobayashi; Kuniyuki Takahashi; Yuta Tsuboi; Yuya Unno; Wilson Ko; Jethro Tan (ICRA, 2018)

Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations. - Sosuke Kobayashi (NAACL-HLT (2), 2018)

DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback. - Riku Arakawa; Sosuke Kobayashi; Yuya Unno; Yuta Tsuboi; Shin-ichi Maeda (CoRR, 2018)

Learning from Observation-Only Demonstration for Task-Oriented Language Grounding via Self-Examination. - Tsu-Jui Fu; Yuta Tsuboi; Sosuke Kobayashi; Yuta Kikuchi (ViGIL@NeurIPS, 2019)

Data Interpolating Prediction: Alternative Interpretation of Mixup. - Takuya Shimada; Shoichiro Yamaguchi; Kohei Hayashi; Sosuke Kobayashi (CoRR, 2019)

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)

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

All Word Embeddings from One Embedding. - Sho Takase; Sosuke Kobayashi (NeurIPS, 2020)

Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN. - Masaki Saito; Shunta Saito; Masanori Koyama; Sosuke Kobayashi (Int. J. Comput. Vis., 2020)

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

VocabEncounter: NMT-powered Vocabulary Learning by Presenting Computer-Generated Usages of Foreign Words into Users' Daily Lives. - Riku Arakawa; Hiromu Yakura; Sosuke Kobayashi (CHI, 2022)

Decomposing NeRF for Editing via Feature Field Distillation. - Sosuke Kobayashi; Eiichi Matsumoto; Vincent Sitzmann (NeurIPS, 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)

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

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

User-Guided Correction of Reconstruction Errors in Structure-from-Motion. - Sotaro Kanazawa; Jinyao Zhou; Yuta Kikuchi; Sosuke Kobayashi; Chunyu Li; Fabrice Matulic; Takeo Igarashi; Keita Higuchi (IUI, 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)

When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars. - Rei Higuchi; Ryotaro Kawata; Naoki Nishikawa; Kazusato Oko; Shoichiro Yamaguchi; Sosuke Kobayashi; Seiya Tokui; Kohei Hayashi; Daisuke Okanohara; Taiji Suzuki (CoRR, 2025)