NAACL

2022–2026 LIVE

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Natural Language Processing

2025 · 637 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2025 · NAACL
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
Xiaomeng Jin, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts
Tingchen Fu, Yupeng Hou, Julian McAuley, Rui Yan
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Unmasking Implicit Bias: Evaluating Persona-Prompted LLM Responses in Power-Disparate Social Scenarios
Bryan Chen Zhengyu Tan, Roy Ka-Wei Lee
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Uplifting Lower-Income Data: Strategies for Socioeconomic Perspective Shifts in Large Multi-modal Models
Joan Nwatu, Oana Ignat, Rada Mihalcea
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets
Tianjian Li, Haoran Xu, Weiting Tan, Kenton Murray, Daniel Khashabi
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Using Text-Based Causal Inference to Disentangle Factors Influencing Online Review Ratings
Linsen Li, Aron Culotta, Nicholas Mattei
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models
Ming Cheng, Jiaying Gong, Chenhan Yuan, William A Ingram, Edward Fox, Hoda Eldardiry
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data
Jingyu Zhang, Marc Marone, Tianjian Li, Benjamin Van Durme, Daniel Khashabi
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation
Hoang Pham, Thanh-Do Nguyen, Khac-Hoai Nam Bui
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
VisCGEC: Benchmarking the Visual Chinese Grammatical Error Correction
Xiaoman Wang, Dan Yuan, Xin Liu, Yike Zhao, Xiaoxiao Zhang, Xizhi Chen, Yunshi Lan
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation
Manan Suri, Puneet Mathur, Franck Dernoncourt, Kanika Goswami, Ryan A. Rossi, Dinesh Manocha
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Vision-Language Models Can Self-Improve Reasoning via Reflection
Kanzhi Cheng, Li YanTao, Fangzhi Xu, Jianbing Zhang, Hao Zhou, Yang Liu
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
VividMed: Vision Language Model with Versatile Visual Grounding for Medicine
Lingxiao Luo, Bingda Tang, Xuanzhong Chen, Rong Han, Ting Chen
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
Zejun Li, Ruipu Luo, Jiwen Zhang, Minghui Qiu, Xuanjing Huang, Zhongyu Wei
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning
Yifan Peng, Krishna C Puvvada, Zhehuai Chen, Piotr Zelasko, He Huang, Kunal Dhawan, Ke Hu, Shinji Watanabe, Jagadeesh Balam, Boris Ginsburg
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
WHoW: A Cross-domain Approach for Analysing Conversation Moderation
Ming-Bin Chen, Lea Frermann, Jey Han Lau
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language Generation
Damien De Mijolla, Hannan Saddiq, Kim Moore
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
WaterPool: A Language Model Watermark Mitigating Trade-Offs among Imperceptibility, Efficacy and Robustness
Baizhou Huang, Xiaojun Wan
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Wav2Prompt: End-to-End Speech Prompt Learning and Task-based Fine-tuning for Text-based LLMs
Keqi Deng, Guangzhi Sun, Phil Woodland
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
WaveFM: A High-Fidelity and Efficient Vocoder Based on Flow Matching
Tianze Luo, Xingchen Miao, Wenbo Duan
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
WebQuality: A Large-scale Multi-modal Web Page Quality Assessment Dataset with Multiple Scoring Dimensions
Tao Zhang, Yige Wang, Hangyu Zhu, Xin Li, Xiang Chen, Tianhua Zhou, Jin Ma
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
What Did I Do Wrong? Quantifying LLMs’ Sensitivity and Consistency to Prompt Engineering
Federico Errica, Davide Sanvito, Giuseppe Siracusano, Roberto Bifulco
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
Michal Golovanevsky, William Rudman, Vedant Palit, Carsten Eickhoff, Ritambhara Singh
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length
Lindia Tjuatja, Graham Neubig, Tal Linzen, Sophie Hao
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models
Shengqi Zhu, Jeffrey Rzeszotarski
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
What the #?*!: Disentangling Hate Across Target Identities
Yiping Jin, Leo Wanner, Aneesh Moideen Koya
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
When2Call: When (not) to Call Tools
Hayley Ross, Ameya Sunil Mahabaleshwarkar, Yoshi Suhara
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model
Kuniaki Saito, Chen-Yu Lee, Kihyuk Sohn, Yoshitaka Ushiku
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
Who Relies More on World Knowledge and Bias for Syntactic Ambiguity Resolution: Humans or LLMs?
So Young Lee, Russell Scheinberg, Amber Shore, Ameeta Agrawal
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
World Models with Hints of Large Language Models for Goal Achieving
Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan, David Anugraha, Rifki Afina Putri, Wang Yutong, Adam Nohejl, Ubaidillah Ariq Prathama, Nedjma Ousidhoum, Afifa Amriani, Anar Rzayev, Anirban Das, Ashmari Pramodya, Aulia Adila, Bryan Wilie, Candy Olivia Mawalim, Cheng Ching Lam, Daud Abolade, Emmanuele Chersoni, Enrico Santus, Fariz Ikhwantri, Garry Kuwanto, Hanyang Zhao, Haryo Akbarianto Wibowo, Holy Lovenia, Jan Christian Blaise Cruz, Jan Wira Gotama Putra, Junho Myung, Lucky Susanto, Maria Angelica Riera Machin, Marina Zhukova, Michael Anugraha, Muhammad Farid Adilazuarda, Natasha Christabelle Santosa, Peerat Limkonchotiwat, Raj Dabre, Rio Alexander Audino, Samuel Cahyawijaya, Shi-Xiong Zhang, Stephanie Yulia Salim, Yi Zhou, Yinxuan Gui, David Ifeoluwa Adelani, En-Shiun Annie Lee, Shogo Okada, Ayu Purwarianti, Alham Fikri Aji, Taro Watanabe, Derry Tanti Wijaya, Alice Oh, Chong-Wah Ngo
Natural Language Processing
日本大学: 東京科学大学 / 北陸先端科学技術大学院大学 / 奈良先端科学技術大学院大学
2025 · NAACL
Yeah, Un, Oh: Continuous and Real-time Backchannel Prediction with Fine-tuning of Voice Activity Projection
Koji Inoue, Divesh Lala, Gabriel Skantze, Tatsuya Kawahara
Natural Language Processing
日本大学: 京都大学
2025 · NAACL
You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL
Hideo Kobayashi, Wuwei Lan, Peng Shi, Shuaichen Chang, Jiang Guo, Henghui Zhu, Zhiguo Wang, Patrick Ng
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
mHumanEval - A Multilingual Benchmark to Evaluate Large Language Models for Code Generation
Nishat Raihan, Antonios Anastasopoulos, Marcos Zampieri
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
tRAG: Term-level Retrieval-Augmented Generation for Domain-Adaptive Retrieval
Dohyeon Lee, Jongyoon Kim, Jihyuk Kim, Seung-won Hwang, Joonsuk Park
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
uDistil-Whisper: Label-Free Data Filtering for Knowledge Distillation in Low-Data Regimes
Abdul Waheed, Karima Kadaoui, Bhiksha Raj, Muhammad Abdul-Mageed
Natural Language Processing
日本大学: 関与なし（対象大学）
2025 · NAACL
xLAM: A Family of Large Action Models to Empower AI Agent Systems
Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Zhiwei Liu, Yihao Feng, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
Natural Language Processing
日本大学: 関与なし（対象大学）