Conferences · eligible papers

NAACL

2021–2025 確定版

NAACL 公式サイト ↗

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。

  1. 2025 · NAACL

    Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction

    Wei Li, Wen Luo, Guangyue Peng, Houfeng Wang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  2. 2025 · NAACL

    Exploiting Edited Large Language Models as General Scientific Optimizers

    Qitan Lv, Tianyu Liu, Hong Wang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  3. 2025 · NAACL

    Exploring Large Language Models for Effective Rumor Detection on Social Media

    Yirong Zeng, Xiao Ding, Bibo Cai, Ting Liu, Bing Qin

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  4. 2025 · NAACL

    Exploring Safety-Utility Trade-Offs in Personalized Language Models

    Anvesh Rao Vijjini, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  5. 2025 · NAACL

    Exploring the Cost-Effectiveness of Perspective Taking in Crowdsourcing Subjective Assessment: A Case Study of Toxicity Detection

    Xiaoni Duan, Zhuoyan Li, Chien-Ju Ho, Ming Yin

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  6. 2025 · NAACL

    Exploring the Potential of Large Language Models for Heterophilic Graphs

    Yuxia Wu, Shujie Li, Yuan Fang, Chuan Shi

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  7. 2025 · NAACL

    Extracting and Understanding the Superficial Knowledge in Alignment

    Runjin Chen, Gabriel Jacob Perin, Xuxi Chen, Xilun Chen, Yan Han, Nina S. T. Hirata, Junyuan Hong, Bhavya Kailkhura

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  8. 2025 · NAACL

    FLEURS-ASL: Including American Sign Language in Massively Multilingual Multitask Evaluation

    Garrett Tanzer

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  9. 2025 · NAACL

    FLEX: Expert-level False-Less EXecution Metric for Text-to-SQL Benchmark

    Heegyu Kim, Jeon Taeyang, SeungHwan Choi, Seungtaek Choi, Hyunsouk Cho

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  10. 2025 · NAACL

    Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

    Satyapriya Krishna, Kalpesh Krishna, Anhad Mohananey, Steven Schwarcz, Adam Stambler, Shyam Upadhyay, Manaal Faruqui

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  11. 2025 · NAACL

    Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation

    Liwen Sun, James Jialun Zhao, Wenjing Han, Chenyan Xiong

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  12. 2025 · NAACL

    FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data

    Deren Lei, Yaxi Li, Siyao Li, Mengya Hu, Rui Xu, Ken Archer, Mingyu Wang, Emily Ching, Alex Deng

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  13. 2025 · NAACL

    FactEval: Evaluating the Robustness of Fact Verification Systems in the Era of Large Language Models

    Mamta, Oana Cocarascu

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  14. 2025 · NAACL

    FactTrack: Time-Aware World State Tracking in Story Outlines

    Zhiheng Lyu, Kevin Yang, Lingpeng Kong, Dan Klein

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  15. 2025 · NAACL

    Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation

    Mahnaz Koupaee, Jake W. Vincent, Saab Mansour, Igor Shalyminov, Han He, Hwanjun Song, Raphael Shu, Jianfeng He, Yi Nian, Amy Wing-mei Wong, Kyu J. Han, Hang Su

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  16. 2025 · NAACL

    Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data

    Jonas Golde, Patrick Haller, Max Ploner, Fabio Barth, Nicolaas Jedema, Alan Akbik

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  17. 2025 · NAACL

    Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models

    Nikhil Sharma, Kenton Murray, Ziang Xiao

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  18. 2025 · NAACL

    FedSpaLLM: Federated Pruning of Large Language Models

    Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  19. 2025 · NAACL

    Few-Shot Natural Language to First-Order Logic Translation via Code Generation

    Junnan Liu

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  20. 2025 · NAACL

    Few-shot Personalization of LLMs with Mis-aligned Responses

    Jaehyung Kim, Yiming Yang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  21. 2025 · NAACL

    FiNE: Filtering and Improving Noisy Data Elaborately with Large Language Models

    Junliang He, Ziyue Fan, Shaohui Kuang, Li Xiaoqing, Kai Song, Yaqian Zhou, Xipeng Qiu

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  22. 2025 · NAACL

    Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective

    Yuqing Zhou, Ziwei Zhu

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  23. 2025 · NAACL

    FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

    Xin Guo, Haotian Xia, Zhaowei Liu, Hanyang Cao, Zhi Yang, Zhiqiang Liu, Sizhe Wang, Jinyi Niu, Chuqi Wang, Yanhui Wang, Xiaolong Liang, Xiaoming Huang, Bing Zhu, Zhongyu Wei, Yun Chen, Weining Shen, Liwen Zhang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  24. 2025 · NAACL

    Fine-Grained Transfer Learning for Harmful Content Detection through Label-Specific Soft Prompt Tuning

    Faeze Ghorbanpour, Viktor Hangya, Alexander Fraser

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  25. 2025 · NAACL

    Fine-Tuned LLMs are “Time Capsules” for Tracking Societal Bias Through Books

    Sangmitra Madhusudan, Robert Morabito, Skye Reid, Nikta Gohari Sadr, Ali Emami

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  26. 2025 · NAACL

    Fine-Tuning Large Language Models with Sequential Instructions

    Hanxu Hu, Simon Yu, Pinzhen Chen, Edoardo Ponti

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  27. 2025 · NAACL

    Fine-grained Fallacy Detection with Human Label Variation

    Alan Ramponi, Agnese Daffara, Sara Tonelli

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  28. 2025 · NAACL

    Fingerspelling within Sign Language Translation

    Garrett Tanzer

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  29. 2025 · NAACL

    FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing

    James Seale Smith, Chi-Heng Lin, Shikhar Tuli, Haris Jeelani, Shangqian Gao, Yilin Shen, Hongxia Jin, Yen-Chang Hsu

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  30. 2025 · NAACL

    Follow the Beaten Path: The Role of Route Patterns on Vision-Language Navigation Agents Generalization Abilities

    Kourosh T Baghaei, Dieter Pfoser, Antonios Anastasopoulos

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  31. 2025 · NAACL

    FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions

    Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn Lawrie, Luca Soldaini

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  32. 2025 · NAACL

    Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models

    Haoran Liao, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  33. 2025 · NAACL

    From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection

    Rupeng Zhang, Haowei Wang, Junjie Wang, Mingyang Li, Yuekai Huang, Dandan Wang, Qing Wang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  34. 2025 · NAACL

    From Distributional to Overton Pluralism: Investigating Large Language Model Alignment

    Thom Lake, Eunsol Choi, Greg Durrett

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  35. 2025 · NAACL

    From Evidence to Belief: A Bayesian Epistemology Approach to Language Models

    Minsu Kim, Sangryul Kim, James Thorne

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  36. 2025 · NAACL

    From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning

    Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  37. 2025 · NAACL

    From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

    Xiaofeng Zhang, Yihao Quan, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  38. 2025 · NAACL

    Functional Lexicon in Subword Tokenization

    Zachary William Hopton, Yves Scherrer, Tanja Samardzic

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  39. 2025 · NAACL

    GLiREL - Generalist Model for Zero-Shot Relation Extraction

    Jack Boylan, Chris Hokamp, Demian Gholipour Ghalandari

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  40. 2025 · NAACL

    Generating Complex Question Decompositions in the Face of Distribution Shifts

    Kelvin Han, Claire Gardent

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  41. 2025 · NAACL

    Generating Diverse Hypotheses for Inductive Reasoning

    Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, Kyomin Jung

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  42. 2025 · NAACL

    Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement

    Qianyue Wang, Jinwu Hu, Zhengping Li, Yufeng Wang, Daiyuan Li, Yu Hu, Mingkui Tan

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  43. 2025 · NAACL

    Generative Prompt Internalization

    Haebin Shin, Lei Ji, Yeyun Gong, Sungdong Kim, Eunbi Choi, Minjoon Seo

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  44. 2025 · NAACL

    Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data

    Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  45. 2025 · NAACL

    GloCOM: A Short Text Neural Topic Model via Global Clustering Context

    Quang Duc Nguyen, Tung Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  46. 2025 · NAACL

    Goal-Conditioned DPO: Prioritizing Safety in Misaligned Instructions

    Joo Bon Maeng, Seongmin Lee, Seokin Seo, Kee-Eung Kim

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  47. 2025 · NAACL

    Grammar Control in Dialogue Response Generation for Language Learning Chatbots

    Dominik Glandorf, Peng Cui, Detmar Meurers, Mrinmaya Sachan

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  48. 2025 · NAACL

    Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models

    Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  49. 2025 · NAACL

    GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models

    Harsh Kohli, Sachin Kumar, Huan Sun

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  50. 2025 · NAACL

    Grounding Fallacies Misrepresenting Scientific Publications in Evidence

    Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  51. 2025 · NAACL

    GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing

    Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  52. 2025 · NAACL

    Guiding Medical Vision-Language Models with Diverse Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations

    Kangyu Zhu, Ziyuan Qin, Huahui Yi, Zekun Jiang, Qicheng Lao, Shaoting Zhang, Kang Li

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  53. 2025 · NAACL

    Guiding Through Complexity: What Makes Good Supervision for Hard Reasoning Tasks?

    Xuan He, Da Yin, Nanyun Peng

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  54. 2025 · NAACL

    H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables

    Nikhil Abhyankar, Vivek Gupta, Dan Roth, Chandan K. Reddy

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  55. 2025 · NAACL

    HARP: Hesitation-Aware Reframing in Transformer Inference Pass

    Romain Storaï, Seung-won Hwang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  56. 2025 · NAACL

    HIGGS: Pushing the Limits of Large Language Model Quantization via the Linearity Theorem

    Vladimir Malinovskii, Andrei Panferov, Ivan Ilin, Han Guo, Peter Richtárik, Dan Alistarh

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  57. 2025 · NAACL

    HISTOIRESMORALES: A French Dataset for Assessing Moral Alignment

    Thibaud Leteno, Irina Proskurina, Antoine Gourru, Julien Velcin, Charlotte Laclau, Guillaume Metzler, Christophe Gravier

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  58. 2025 · NAACL

    HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing

    Zifan He, Yingqi Cao, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  59. 2025 · NAACL

    Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation

    Ruichu Cai, Junhao Lu, Zhongjie Chen, Boyan Xu, Zhifeng Hao

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  60. 2025 · NAACL

    Harnessing and Evaluating the Intrinsic Extrapolation Ability of Large Language Models for Vehicle Trajectory Prediction

    Jiawei Liu, Yanjiao Liu, Xun Gong, Tingting Wang, Hong Chen, Yunfeng Hu

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  61. 2025 · NAACL

    Has this Fact been Edited? Detecting Knowledge Edits in Language Models

    Paul Youssef, Zhixue Zhao, Christin Seifert, Jörg Schlötterer

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  62. 2025 · NAACL

    Have LLMs Reopened the Pandora’s Box of AI-Generated Fake News?

    Xinyu Wang, Wenbo Zhang, Sai Koneru, Hangzhi Guo, Bonam Mingole, S. Shyam Sundar, Sarah Rajtmajer, Amulya Yadav

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  63. 2025 · NAACL

    Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies

    Zirui Song, Guangxian Ouyang, Meng Fang, Hongbin Na, Zijing Shi, Zhenhao Chen, Fu Yujie, Zeyu Zhang, Shiyu Jiang, Miao Fang, Ling Chen, Xiuying Chen

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  64. 2025 · NAACL

    Hello Again! LLM-powered Personalized Agent for Long-term Dialogue

    Hao Li, Chenghao Yang, An Zhang, Yang Deng, Xiang Wang, Tat-Seng Chua

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  65. 2025 · NAACL

    Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training

    Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  66. 2025 · NAACL

    High-Dimension Human Value Representation in Large Language Models

    Samuel Cahyawijaya, Delong Chen, Yejin Bang, Leila Khalatbari, Bryan Wilie, Ziwei Ji, Etsuko Ishii, Pascale Fung

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  67. 2025 · NAACL

    How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?

    Kenza Benkirane, Jackie Kay, Maria Perez-Ortiz

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  68. 2025 · NAACL

    How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs

    Ran Zhang, Wei Zhao, Steffen Eger

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  69. 2025 · NAACL

    How to Align Multiple Signed Language Corpora for Better Sign-to-Sign Translations?

    Mert Inan, Yang Zhong, Vidya Ganesh, Malihe Alikhani

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  70. 2025 · NAACL

    How to Make LLMs Forget: On Reversing In-Context Knowledge Edits

    Paul Youssef, Zhixue Zhao, Jörg Schlötterer, Christin Seifert

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  71. 2025 · NAACL

    How to Make the Most of LLMs’ Grammatical Knowledge for Acceptability Judgments

    Yusuke Ide, Yuto Nishida, Justin Vasselli, Miyu Oba, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe

    Natural Language Processing

    日本大学: 奈良先端科学技術大学院大学

  72. 2025 · NAACL

    Hybrid Graphs for Table-and-Text based Question Answering using LLMs

    Ankush Agarwal, Chaitanya Devaguptapu, Ganesh S

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  73. 2025 · NAACL

    IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval

    Tingyu Song, Guo Gan, Mingsheng Shang, Yilun Zhao

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  74. 2025 · NAACL

    IHEval: Evaluating Language Models on Following the Instruction Hierarchy

    Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  75. 2025 · NAACL

    IMRRF: Integrating Multi-Source Retrieval and Redundancy Filtering for LLM-based Fake News Detection

    Dayang Li, Fanxiao Li, Bingbing Song, Li Tang, Wei Zhou

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  76. 2025 · NAACL

    ITALIC: An Italian Culture-Aware Natural Language Benchmark

    Andrea Seveso, Daniele Potertì, Edoardo Federici, Mario Mezzanzanica, Fabio Mercorio

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  77. 2025 · NAACL

    Identifying Emerging Concepts in Large Corpora

    Sibo Ma, Julian Nyarko

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  78. 2025 · NAACL

    Ihquin tlahtouah in Tetelahtzincocah: An annotated, multi-purpose audio and text corpus of Western Sierra Puebla Nahuatl

    Robert Pugh, Cheyenne Wing, María Ximena Juárez Huerta, Ángeles Márquez Hernandez, Francis Tyers

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  79. 2025 · NAACL

    ImgTrojan: Jailbreaking Vision-Language Models with ONE Image

    Xijia Tao, Shuai Zhong, Lei Li, Qi Liu, Lingpeng Kong

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  80. 2025 · NAACL

    Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models

    Xiyang Liu, Chunming Hu, Richong Zhang, Junfan Chen, Baowen Xu

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  81. 2025 · NAACL

    Improving Model Evaluation using SMART Filtering of Benchmark Datasets

    Vipul Gupta, Candace Ross, David Pantoja, Rebecca J. Passonneau, Megan Ung, Adina Williams

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  82. 2025 · NAACL

    Improving Retrospective Language Agents via Joint Policy Gradient Optimization

    Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  83. 2025 · NAACL

    Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities

    Minh Duc Chu, Zihao He, Rebecca Dorn, Kristina Lerman

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  84. 2025 · NAACL

    In-Context Learning (and Unlearning) of Length Biases

    Stephanie Schoch, Yangfeng Ji

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  85. 2025 · NAACL

    In-Context Learning with Long-Context Models: An In-Depth Exploration

    Amanda Bertsch, Maor Ivgi, Emily Xiao, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  86. 2025 · NAACL

    Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models

    Michael Hanna, Aaron Mueller

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  87. 2025 · NAACL

    InfoPO: On Mutual Information Maximization for Large Language Model Alignment

    Teng Xiao, Zhen Ge, Sujay Sanghavi, Tian Wang, Julian Katz-Samuels, Marc Versage, Qingjun Cui, Trishul Chilimbi

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  88. 2025 · NAACL

    Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models

    Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen, Ximing Lu, Maria Antoniak, Bill Yuchen Lin, Niloofar Mireshghallah, Chandra Bhagavatula, Yejin Choi

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  89. 2025 · NAACL

    Instantly Learning Preference Alignment via In-context DPO

    Feifan Song, Yuxuan Fan, Xin Zhang, Peiyi Wang, Houfeng Wang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  90. 2025 · NAACL

    Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction

    Liping Liu, Chunhong Zhang, Likang Wu, Chuang Zhao, Zheng Hu, Ming He, Jianping Fan

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  91. 2025 · NAACL

    Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders

    Kshitish Ghate, Isaac Slaughter, Kyra Wilson, Mona T. Diab, Aylin Caliskan

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  92. 2025 · NAACL

    Investigating Hallucinations in Simultaneous Machine Translation: Knowledge Distillation Solution and Components Analysis

    Donglei Yu, Xiaomian Kang, Yuchen Liu, Feifei Zhai, Nanchang Cheng, Yu Zhou, Chengqing Zong

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  93. 2025 · NAACL

    Investigating Human Values in Online Communities

    Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  94. 2025 · NAACL

    Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion

    Ziyao Xu, Houfeng Wang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  95. 2025 · NAACL

    IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models

    David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, Jian Yun Zhuang, Jesujoba Oluwadara Alabi, Xuanli He, Millicent Ochieng, Sara Hooker, Andiswa Bukula, En-Shiun Annie Lee, Chiamaka Ijeoma Chukwuneke, Happy Buzaaba, Blessing Kudzaishe Sibanda, Godson Koffi Kalipe, Jonathan Mukiibi, Salomon Kabongo Kabenamualu, Foutse Yuehgoh, Mmasibidi Setaka, Lolwethu Ndolela, Nkiruka Odu, Rooweither Mabuya, Salomey Osei, Shamsuddeen Hassan Muhammad, Sokhar Samb, Tadesse Kebede Guge, Tombekai Vangoni Sherman, Pontus Stenetorp

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  96. 2025 · NAACL

    Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming

    Zhenghao Zhou, Robert Frank, R. Thomas McCoy

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  97. 2025 · NAACL

    Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models

    Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, Anh Tuan Luu, Lidong Bing

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  98. 2025 · NAACL

    Is Your LLM Outdated? A Deep Look at Temporal Generalization

    Chenghao Zhu, Nuo Chen, Yufei Gao, Yunyi Zhang, Prayag Tiwari, Benyou Wang

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  99. 2025 · NAACL

    Is a Peeled Apple Still Red? Evaluating LLMs’ Ability for Conceptual Combination with Property Type

    Seokwon Song, Taehyun Lee, Jaewoo Ahn, Jae Hyuk Sung, Gunhee Kim

    Natural Language Processing

    日本大学: 関与なし(対象大学)

  100. 2025 · NAACL

    Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness

    Yoo Yeon Sung, Maharshi Gor, Eve Fleisig, Ishani Mondal, Jordan Boyd-Graber

    Natural Language Processing

    日本大学: 関与なし(対象大学)