NAACL

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

NAACL 公式サイト ↗

Natural Language Processing

2024 · 487 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。

2024 · NAACL
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation
Yao Lu, Jiayi Wang, Raphael Tang, Sebastian Riedel, Pontus Stenetorp
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Subspace Representations for Soft Set Operations and Sentence Similarities
Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh, Satoshi Nakamura
Natural Language Processing
日本大学: 京都大学 / 奈良先端科学技術大学院大学 / 東北大学
2024 · NAACL
SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization
Jacob Parnell, Inigo Jauregi Unanue, Massimo Piccardi
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
SuperGLEBer: German Language Understanding Evaluation Benchmark
Jan Pfister, Andreas Hotho
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
Aldo Carranza, Rezsa Farahani, Natalia Ponomareva, Alexey Kurakin, Matthew Jagielski, Milad Nasr
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
TISE: A Tripartite In-context Selection Method for Event Argument Extraction
Yanhe Fu, Yanan Cao, Qingyue Wang, Yi Liu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
TRUE-UIE: Two Universal Relations Unify Information Extraction Tasks
Yucheng Wang, Bowen Yu, Yilin Liu, Shudong Lu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition
Md Mahadi Hasan Nahid, Davood Rafiei
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
TableLlama: Towards Open Large Generalist Models for Tables
Tianshu Zhang, Xiang Yue, Yifei Li, Huan Sun
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning
Kazuma Hashimoto, Karthik Raman, Michael Bendersky
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Teaching Language Models to Self-Improve through Interactive Demonstrations
Xiao Yu, Baolin Peng, Michel Galley, Jianfeng Gao, Zhou Yu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation
Taeyang Yun, Hyunkuk Lim, Jeonghwan Lee, Min Song
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation
Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
The ART of LLM Refinement: Ask, Refine, and Trust
Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
The Bias Amplification Paradox in Text-to-Image Generation
Preethi Seshadri, Sameer Singh, Yanai Elazar
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth
Shir Lissak, Nitay Calderon, Geva Shenkman, Yaakov Ophir, Eyal Fruchter, Anat Brunstein Klomek, Roi Reichart
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation
Zoey Liu, Bonnie Dorr
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
The Impact of Depth on Compositional Generalization in Transformer Language Models
Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, Fei Sha, Dan Garrette, Tal Linzen
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing
Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels
Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education
Paiheng Xu, Jing Liu, Nathan Jones, Julie Cohen, Wei Ai
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
The Role of n-gram Smoothing in the Age of Neural Networks
Luca Malagutti, Andrius Buinovskij, Anej Svete, Clara Meister, Afra Amini, Ryan Cotterell
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
The steerability of large language models toward data-driven personas
Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard Zemel, Rahul Gupta
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
The taste of IPA: Towards open-vocabulary keyword spotting and forced alignment in any language
Jian Zhu, Changbing Yang, Farhan Samir, Jahurul Islam
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks
Yunqi Zhang, Songda Li, Chunyuan Deng, Luyi Wang, Hui Zhao
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
This Land is Your, My Land: Evaluating Geopolitical Bias in Language Models through Territorial Disputes
Bryan Li, Samar Haider, Chris Callison-Burch
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Tied-LoRA: Enhancing parameter efficiency of LoRA with Weight Tying
Adithya Renduchintala, Tugrul Konuk, Oleksii Kuchaiev
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
To Tell The Truth: Language of Deception and Language Models
Sanchaita Hazra, Bodhisattwa Prasad Majumder
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages
Benedikt Ebing, Goran Glavaš
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
ToXCL: A Unified Framework for Toxic Speech Detection and Explanation
Nhat M. Hoang, Xuan Long Do, Duc Anh Do, Duc Anh Vu, Luu Anh Tuan
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Liyan Tang, Igor Shalyminov, Amy Wong, Jon Burnsky, Jake Vincent, Yu’an Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen McKeown
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model
Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
TopicGPT: A Prompt-based Topic Modeling Framework
Chau Minh Pham, Alexander Hoyle, Simeng Sun, Philip Resnik, Mohit Iyyer
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers
Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Toward Informal Language Processing: Knowledge of Slang in Large Language Models
Zhewei Sun, Qian Hu, Rahul Gupta, Richard Zemel, Yang Xu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Toward Interactive Regional Understanding in Vision-Large Language Models
Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Towards Explainability in Legal Outcome Prediction Models
Josef Valvoda, Ryan Cotterell
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Towards Improved Multi-Source Attribution for Long-Form Answer Generation
Nilay Patel, Shivashankar Subramanian, Siddhant Garg, Pratyay Banerjee, Amita Misra
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction
Denis McInerney, William Dickinson, Lucy Flynn, Andrea Young, Geoffrey Young, Jan-Willem van de Meent, Byron Wallace
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Transformers Can Represent n-gram Language Models
Anej Svete, Ryan Cotterell
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning
Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors
Victoria Graf, Qin Liu, Muhao Chen
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback
Jason Wu, Eldon Schoop, Alan Leung, Titus Barik, Jeffrey Bigham, Jeffrey Nichols
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations
Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Uncertainty Quantification for In-Context Learning of Large Language Models
Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction
Chenming Tang, Fanyi Qu, Yunfang Wu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing
Yijun Yang, Jie He, Pinzhen Chen, Victor Gutierrez Basulto, Jeff Pan
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions
Siddhant Arora, Hayato Futami, Jee-weon Jung, Yifan Peng, Roshan Sharma, Yosuke Kashiwagi, Emiru Tsunoo, Karen Livescu, Shinji Watanabe
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Šuppa, Hila Gonen, Joseph Marvin Imperial, Börje F. Karlsson, Peiqin Lin, Nikola Ljubešić, LJ Miranda, Barbara Plank, Arij Riabi, Yuval Pinter
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Universal Prompt Optimizer for Safe Text-to-Image Generation
Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, Heng Ji
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Unlocking Emergent Modularity in Large Language Models
Zihan Qiu, Zeyu Huang, Jie Fu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Unveiling the Generalization Power of Fine-Tuned Large Language Models
Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value
Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
VertAttack: Taking Advantage of Text Classifiers’ Horizontal Vision
Jonathan Rusert
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization
Dongsheng Zhu, Xunzhu Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Visually Guided Generative Text-Layout Pre-training for Document Intelligence
Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Visually-Aware Context Modeling for News Image Captioning
Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision
Seongyun Lee, Sue Hyun Park, Yongrae Jo, Minjoon Seo
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases
Anthony Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven Hoi, Caiming Xiong
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?
Wei Liu, Stephen Wan, Michael Strube
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong, Ruihua Song
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception
Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale
Christos Baziotis, Biao Zhang, Alexandra Birch, Barry Haddow
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels
Weiyan Shi, Emily Dinan, Kurt Shuster, Jason Weston, Jing Xu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Where are you from? Geolocating Speech and Applications to Language Identification
Patrick Foley, Matthew Wiesner, Bismarck Bamfo Odoom, Leibny Paola Garcia, Kenton Murray, Philipp Koehn
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding
Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness
Ashim Gupta, Rishanth Rajendhran, Nathan Stringham, Vivek Srikumar, Ana Marasovic
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs
Juan Rodriguez, Katrin Erk, Greg Durrett
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
XNLIeu: a dataset for cross-lingual NLI in Basque
Maite Heredia, Julen Etxaniz, Muitze Zulaika, Xabier Saralegi, Jeremy Barnes, Aitor Soroa
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Paul Röttger, Hannah Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
XferBench: a Data-Driven Benchmark for Emergent Language
Brendon Boldt, David Mortensen
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
You don’t need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
Bangzhao Shu, Lechen Zhang, Minje Choi, Lavinia Dunagan, Lajanugen Logeswaran, Moontae Lee, Dallas Card, David Jurgens
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
Zero-shot Generative Linguistic Steganography
Ke Lin, Yiyang Luo, Zijian Zhang, Luo Ping
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples
Xiancai Xu, Jia-Dong Zhang, Lei Xiong, Zhishang Liu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning
Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip Yu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
mEdIT: Multilingual Text Editing via Instruction Tuning
Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
“One-Size-Fits-All”? Examining Expectations around What Constitute “Fair” or “Good” NLG System Behaviors
Li Lucy, Su Lin Blodgett, Milad Shokouhi, Hanna Wallach, Alexandra Olteanu
Natural Language Processing
日本大学: 関与なし（対象大学）
2024 · NAACL
“You are an expert annotator”: Automatic Best–Worst-Scaling Annotations for Emotion Intensity Modeling
Christopher Bagdon, Prathamesh Karmalkar, Harsha Gurulingappa, Roman Klinger
Natural Language Processing
日本大学: 関与なし（対象大学）