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
Model Surgery: Modulating LLM’s Behavior Via Simple Parameter EditingHuanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Multi-Conditional Ranking with Large Language ModelsPouya Pezeshkpour, Estevam Hruschka
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart ProblemsZifeng Zhu, Mengzhao Jia, Zhihan Zhang, Lang Li, Meng Jiang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Multi^3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision–Language ModelsMinh Duc Bui, Katharina von der Wense, Anne Lauscher
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical StudyMenglong Cui, Pengzhi Gao, Wei Liu, Jian Luan, Bin Wang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language ModelsAmey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Multilingual Reasoning via Self-trainingLeonardo Ranaldi, Giulia Pucci
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Multimodal Cognitive Reframing Therapy via Multi-hop Psychotherapeutic ReasoningSubin Kim, Hoonrae Kim, Heejin Do, Gary Lee
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language ModelsHengyi Wang, Haizhou Shi, Shiwei Tan, Weiyi Qin, Wenyuan Wang, Tunyu Zhang, Akshay Nambi, Tanuja Ganu, Hao Wang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Mutual-pairing Data Augmentation for Fewshot Continual Relation ExtractionNguyen Hoang Anh, Quyen Tran, Thanh Xuan Nguyen, Nguyen Thi Ngoc Diep, Linh Ngo Van, Thien Huu Nguyen, Trung Le
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
My LLM might Mimic AAE - But When Should It?Sandra Camille Sandoval, Christabel Acquaye, Kwesi Adu Cobbina, Mohammad Nayeem Teli, Hal Daumé III
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
NAT: Enhancing Agent Tuning with Negative SamplesRenxi Wang, Xudong Han, Yixuan Zhang, Timothy Baldwin, Haonan Li
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
NLI under the Microscope: What Atomic Hypothesis Decomposition RevealsNeha Srikanth, Rachel Rudinger
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Navigating the Cultural Kaleidoscope: A Hitchhiker’s Guide to Sensitivity in Large Language ModelsSomnath Banerjee, Sayan Layek, Hari Shrawgi, Rajarshi Mandal, Avik Halder, Shanu Kumar, Sagnik Basu, Parag Agrawal, Rima Hazra, Animesh Mukherjee
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
No Simple Answer to Data Complexity: An Examination of Instance-Level Complexity Metrics for Classification TasksRyan A. Cook, John P. Lalor, Ahmed Abbasi
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
NormAd: A Framework for Measuring the Cultural Adaptability of Large Language ModelsAbhinav Rao, Akhila Yerukola, Vishwa Shah, Katharina Reinecke, Maarten Sap
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language ModelsHyegang Son, Yonglak Son, Changhoon Kim, Young Geun Kim
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Not all Hallucinations are Good to Throw Away When it Comes to Legal Abstractive SummarizationNihed Bendahman, Karen Pinel-Sauvagnat, Gilles Hubert, Mokhtar Boumedyen Billami
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMsNitay Calderon, Roi Reichart
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
On Positional Bias of Faithfulness for Long-form SummarizationDavid Wan, Jesse Vig, Mohit Bansal, Shafiq Joty
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic PhenomenaTarek Naous, Wei Xu
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language ModelsTianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Ying Nian Wu, Li Erran Li
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
On the Impact of Fine-Tuning on Chain-of-Thought ReasoningElita Lobo, Chirag Agarwal, Himabindu Lakkaraju
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
On the Role of Speech Data in Reducing Toxicity Detection BiasSamuel Bell, Mariano Coria Meglioli, Megan Richards, Eduardo Sánchez, Christophe Ropers, Skyler Wang, Adina Williams, Levent Sagun, Marta R. Costa-jussà
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
On the Vulnerability of Text SanitizationMeng Tong, Kejiang Chen, Xiaojian Yuan, Jiayang Liu, Weiming Zhang, Nenghai Yu, Jie Zhang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
One Unified Model for Diverse Tasks: Emotion Cause Analysis via Self-Promote Cognitive Structure ModelingZhaoxin Yu, Xinglin Xiao, Wenji Mao
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
One fish, two fish, but not the whole sea: Alignment reduces language models’ conceptual diversitySonia Krishna Murthy, Tomer Ullman, Jennifer Hu
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Open-World Evaluation for Retrieving Diverse PerspectivesHung-Ting Chen, Eunsol Choi
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Option Symbol Matters: Investigating and Mitigating Multiple-Choice Option Symbol Bias of Large Language ModelsZhen Yang, Ping Jian, Chengzhi Li
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PA-RAG: RAG Alignment via Multi-Perspective Preference OptimizationJiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PAPILLON: Privacy Preservation from Internet-based and Local Language Model EnsemblesLi Siyan, Vethavikashini Chithrra Raghuram, Omar Khattab, Julia Hirschberg, Zhou Yu
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio ClassificationAshish Seth, Ramaneswaran Selvakumar, Sonal Kumar, Sreyan Ghosh, Dinesh Manocha
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PICLe: Pseudo-annotations for In-Context Learning in Low-Resource Named Entity DetectionSepideh Mamooler, Syrielle Montariol, Alexander Mathis, Antoine Bosselut
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PORT: Preference Optimization on Reasoning TracesSalem Lahlou, Abdalgader Abubaker, Hakim Hacid
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable QueriesMingwen Dong, Nischal Ashok Kumar, Yiqun Hu, Anuj Chauhan, Chung-Wei Hang, Shuaichen Chang, Lin Pan, Wuwei Lan, Henghui Zhu, Jiarong Jiang, Patrick Ng, Zhiguo Wang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model PipelinesReya Vir, Shreya Shankar, Harrison Chase, William Hinthorn, Aditya Parameswaran
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I ModelsMichael Toker, Ido Galil, Hadas Orgad, Rinon Gal, Yoad Tewel, Gal Chechik, Yonatan Belinkov
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Palette of Language Models: A Solver for Controlled Text GenerationZhe Yang, Yi Huang, Yaqin Chen, Xiaoting Wu, Junlan Feng, Chao Deng
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
ParaICL: Towards Parallel In-Context LearningXingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language ModelsXingran Zhou, Kun Yang, Changtao Miao, Bingyu Hu, Zhuoer Xu, Shiwen Cui, Changhua Meng, Dan Hong
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Patent-CR: A Dataset for Patent Claim RevisionLekang Jiang, Pascal A. Scherz, Stefan Goetz
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Pay More Attention to Images: Numerous Images-Oriented Multimodal SummarizationMin Xiao, Junnan Zhu, Feifei Zhai, Chengqing Zong, Yu Zhou
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PeerQA: A Scientific Question Answering Dataset from Peer ReviewsTim Baumgärtner, Ted Briscoe, Iryna Gurevych
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PerCul: A Story-Driven Cultural Evaluation of LLMs in PersianErfan Moosavi Monazzah, Vahid Rahimzadeh, Yadollah Yaghoobzadeh, Azadeh Shakery, Mohammad Taher Pilehvar
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PicPersona-TOD : A Dataset for Personalizing Utterance Style in Task-Oriented Dialogue with Image PersonaJihyun Lee, Yejin Jeon, Seungyeon Seo, Gary Lee
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on BasqueAnder Corral, Ixak Sarasua Antero, Xabier Saralegi
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and DetectionJooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen, Dongwon Lee
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning LanguagesMax Zuo, Francisco Piedrahita Velez, Xiaochen Li, Michael Littman, Stephen Bach
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented GenerationTianyu Liu, Jirui Qi, Paul He, Arianna Bisazza, Mrinmaya Sachan, Ryan Cotterell
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language ModelsMichael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training CorporaJoonHo Lee, JuYoun Son, Juree Seok, Wooseok Jang, Yeong-Dae Kwon
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Prepending or Cross-Attention for Speech-to-Text? An Empirical ComparisonTsz Kin Lam, Marco Gaido, Sara Papi, Luisa Bentivogli, Barry Haddow
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity TheoryHaoran Li, Wei Fan, Yulin Chen, Cheng Jiayang, Tianshu Chu, Xuebing Zhou, Peizhao Hu, Yangqiu Song
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Private Synthetic Text Generation with Diffusion ModelsSebastian Ochs, Ivan Habernal
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
ProMQA: Question Answering Dataset for Multimodal Procedural Activity UnderstandingKimihiro Hasegawa, Wiradee Imrattanatrai, Zhi-Qi Cheng, Masaki Asada, Susan Holm, Yuran Wang, Ken Fukuda, Teruko Mitamura
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
ProSE: Diffusion Priors for Speech EnhancementSonal Kumar, Sreyan Ghosh, Utkarsh Tyagi, Anton Jeran Ratnarajah, Chandra Kiran Reddy Evuru, Ramani Duraiswami, Dinesh Manocha
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Probe-Free Low-Rank Activation InterventionChonghe Jiang, Bao Nguyen, Anthony Man-Cho So, Viet Anh Nguyen
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Prompt Compression for Large Language Models: A SurveyZongqian Li, Yinhong Liu, Yixuan Su, Nigel Collier
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation MetricsDaniil Larionov, Steffen Eger
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from related Example BanksSoumya Suvra Ghosal, Soumyabrata Pal, Koyel Mukherjee, Dinesh Manocha
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Prompting with Phonemes: Enhancing LLMs’ Multilinguality for Non-Latin Script LanguagesHoang H Nguyen, Khyati Mahajan, Vikas Yadav, Julian Salazar, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Protecting Privacy in Multimodal Large Language Models with MLLMU-BenchZheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Prototype Conditioned Generative Replay for Continual Learning in NLPXi Chen, Min Zeng
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Prototypical Extreme Multi-label Classification with a Dynamic Margin LossKunal Dahiya, Diego Ortego, David Jimenez-Cabello
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Pula: Training Large Language Models for SetswanaNathan Brown, Vukosi Marivate
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
QAVA: Query-Agnostic Visual Attack to Large Vision-Language ModelsYudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Query-focused Referentiability Learning for Zero-shot RetrievalJaeyoung Kim, Dohyeon Lee, Seung-won Hwang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language ModelsBang An, Shiyue Zhang, Mark Dredze
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and RefinementJinhao Jiang, Jiayi Chen, Junyi Li, Ruiyang Ren, Shijie Wang, Wayne Xin Zhao, Yang Song, Tao Zhang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
RAP: A Metric for Balancing Repetition and Performance in Open-Source Large Language ModelsDonghao Huang, Thanh-Son Nguyen, Fiona Liausvia, Zhaoxia Wang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
REFFLY: Melody-Constrained Lyrics Editing ModelSongyan Zhao, Bingxuan Li, Yufei Tian, Nanyun Peng
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM RelianceKaitlyn Zhou, Jena D. Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Racing Thoughts: Explaining Contextualization Errors in Large Language ModelsMichael A. Lepori, Michael Curtis Mozer, Asma Ghandeharioun
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Rationale-Guided Retrieval Augmented Generation for Medical Question AnsweringJiwoong Sohn, Yein Park, Chanwoong Yoon, Sihyeon Park, Hyeon Hwang, Mujeen Sung, Hyunjae Kim, Jaewoo Kang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
ReGLA: Refining Gated Linear AttentionPeng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Boxing Chen, Philippe Langlais
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
ReIFE: Re-evaluating Instruction-Following EvaluationYixin Liu, Kejian Shi, Alexander Fabbri, Yilun Zhao, PeiFeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
ReachAgent: Enhancing Mobile Agent via Page Reaching and OperationQinzhuo Wu, Wei Liu, Jian Luan, Bin Wang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Reading between the Lines: Can LLMs Identify Cross-Cultural Communication Gaps?Sougata Saha, Saurabh Kumar Pandey, Harshit Gupta, Monojit Choudhury
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
ReasVQA: Advancing VideoQA with Imperfect Reasoning ProcessJianxin Liang, Xiaojun Meng, Huishuai Zhang, Yueqian Wang, Jiansheng Wei, Dongyan Zhao
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM SamplingGuangya Wan, Yuqi Wu, Jie Chen, Sheng Li
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model AlignmentYuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe
Natural Language Processing
日本大学: 電気通信大学
2025 · NAACL
Reliability of Topic ModelingKayla Schroeder, Zach Wood-Doughty
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Representing Rule-based Chatbots with TransformersDan Friedman, Abhishek Panigrahi, Danqi Chen
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsJinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, Sung Ju Hwang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Rethinking Word Similarity: Semantic Similarity through Classification ConfusionKaitlyn Zhou, Haishan Gao, Sarah Li Chen, Dan Edelstein, Dan Jurafsky, Chen Shani
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Rethinking the Role of LLMs for Document-level Relation Extraction: a Refiner with Task Distribution and Probability FusionFu Zhang, Xinlong Jin, Jingwei Cheng, Hongsen Yu, Huangming Xu
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph CompletionMuzhi Li, Cehao Yang, Chengjin Xu, Xuhui Jiang, Yiyan Qi, Jian Guo, Ho-fung Leung, Irwin King
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Revealing the Barriers of Language Agents in PlanningJian Xie, Kexun Zhang, Jiangjie Chen, Siyu Yuan, Kai Zhang, Yikai Zhang, Lei Li, Yanghua Xiao
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Reverse Thinking Makes LLMs Stronger ReasonersJustin Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Reversed Attention: On The Gradient Descent Of Attention Layers In GPTShahar Katz, Lior Wolf
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Revisiting Early Detection of Sexual Predators via Turn-level OptimizationJinMyeong An, Sangwon Ryu, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Lee
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Reward-Guided Tree Search for Inference Time Alignment of Large Language ModelsChia-Yu Hung, Navonil Majumder, Ambuj Mehrish, Soujanya Poria
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-SpeechEric Battenberg, RJ Skerry-Ryan, Daisy Stanton, Soroosh Mariooryad, Matt Shannon, Julian Salazar, David Teh-Hwa Kao
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented DataSuyoung Bae, YunSeok Choi, Hyojun Kim, Jee-Hyong Lee
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
SANDWiCH: Semantical Analysis of Neighbours for Disambiguating Words in Context ad HocDaniel Guzman Olivares, Lara Quijano, Federico Liberatore
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree SearchHanwen Du, Bo Peng, Xia Ning
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
SCIURus: Shared Circuits for Interpretable Uncertainty Representations in Language ModelsCarter Teplica, Yixin Liu, Arman Cohan, Tim G. J. Rudner
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
SELFGOAL: Your Language Agents Already Know How to Achieve High-level GoalsRuihan Yang, Jiangjie Chen, Yikai Zhang, Siyu Yuan, Aili Chen, Kyle Richardson, Yanghua Xiao, Deqing Yang
Natural Language Processing
日本大学: 関与なし(対象大学)
2025 · NAACL
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language ModelsMargaret Mitchell, Giuseppe Attanasio, Ioana Baldini, Miruna Clinciu, Jordan Clive, Pieter Delobelle, Manan Dey, Sil Hamilton, Timm Dill, Jad Doughman, Ritam Dutt, Avijit Ghosh, Jessica Zosa Forde, Carolin Holtermann, Lucie-Aimée Kaffee, Tanmay Laud, Anne Lauscher, Roberto L Lopez-Davila, Maraim Masoud, Nikita Nangia, Anaelia Ovalle, Giada Pistilli, Dragomir Radev, Beatrice Savoldi, Vipul Raheja, Jeremy Qin, Esther Ploeger, Arjun Subramonian, Kaustubh Dhole, Kaiser Sun, Amirbek Djanibekov, Jonibek Mansurov, Kayo Yin, Emilio Villa Cueva, Sagnik Mukherjee, Jerry Huang, Xudong Shen, Jay Gala, Hamdan Al-Ali, Tair Djanibekov, Nurdaulet Mukhituly, Shangrui Nie, Shanya Sharma, Karolina Stanczak, Eliza Szczechla, Tiago Timponi Torrent, Deepak Tunuguntla, Marcelo Viridiano, Oskar Van Der Wal, Adina Yakefu, Aurélie Névéol, Mike Zhang, Sydney Zink, Zeerak Talat
Natural Language Processing
日本大学: 東京大学
2025 · NAACL
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity MixtureJiayi Han, Liang Du, Hongwei Du, Xiangguo Zhou, Yiwen Wu, Yuanfang Zhang, Weibo Zheng, Donghong Han
Natural Language Processing
日本大学: 関与なし(対象大学)