Findings of the Association for Computational Linguistics 2025: all accepted papers
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- NarratEX Dataset: Explaining the Dominant Narratives in News Texts ↗Nuno Guimarães, Purificação Silvano, Ricardo Campos et al.
- Natural Context Drift Undermines the Natural Language Understanding of Large Language Models ↗Yulong Wu, Viktor Schlegel, Riza Batista-Navarro
- Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation ↗Jihao Shi, Xiao Ding, Kai Xiong et al.
- Navigating the Political Compass: Evaluating Multilingual LLMs across Languages and Nationalities ↗Chadi Helwe, Oana Balalau, Davide Ceolin
- NeLLCom-Lex: A Neural-agent Framework to Study the Interplay between Lexical Systems and Language Use ↗Yuqing Zhang, Ecesu Ürker, Tessa Verhoef et al.
- NeoQA: Evidence-based Question Answering with Generated News Events ↗Max Glockner, Xiang Jiang, Leonardo F. R. Ribeiro et al.
- Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification ↗Vishnu Kabir Chhabra, Ding Zhu, Mohammad Mahdi Khalili
- Neutralizing Bias in LLM Reasoning using Entailment Graphs ↗Liang Cheng, Tianyi Li, Zhaowei Wang et al.
- Nine Ways to Break Copyright Law and Why Our LLM Won't: A Fair Use Aligned Generation Framework ↗Aakash Sen Sharma, Debdeep Sanyal, Priyansh Srivastava et al.
- NormAL LoRA: What is the perfect size? ↗Aastik, Meghana Topu, Chinmay Kulkarni et al.
- Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models ↗Zheyu Zhang, Shuo Yang, Bardh Prenkaj et al.
- Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity ↗Zihao Li, Feihao Fang, Xitong Zhang et al.
- Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models ↗Yixin Wan, Anil Ramakrishna, Kai-Wei Chang et al.
- Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization ↗Elahe Rahimi, Hassan Sajjad, Domenic Rosati et al.
- NovelCR: A Large-Scale Bilingual Dataset Tailored for Long-Span Coreference Resolution ↗MeiHan Tong, Shuai Wang
- ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion ↗Rana Shahroz, Dongwen Tang, Pingzhi Li et al.
- OVFact: Measuring and Improving Open-Vocabulary Factuality for Long Caption Models ↗Monika Wysoczańska, Shyamal Buch, Anurag Arnab et al.
- O_O-VC: Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion ↗Huu Tuong Tu, Huan Vu, Cuong Tien Nguyen et al.
- Offloaded Reasoning: Efficient Inference for Large Language Models via Modular Reasoning and Refinement ↗Ishan Jindal, Jayant Taneja, Badrinath Chandana et al.
- OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Question Answering ↗Yulong Hui, Yihao Liu, Yao Lu et al.
- On Entity Identification in Language Models ↗Masaki Sakata, Benjamin Heinzerling, Sho Yokoi et al.
- On Localizing and Deleting Toxic Memories in Large Language Models ↗Anubrata Das, Manoj Kumar, Ninareh Mehrabi et al.
- On the Consistency of Commonsense in Large Language Models ↗Guozheng Li, Peng Wang, Wenjun Ke et al.
- On the Correspondence between the Squared Norm and Information Content in Text Embeddings ↗Enrique Amigo, Adrian Ghajari, Alejandro Benito-Santos et al.
- On the Effectiveness of Prompt-Moderated LLMs for Math Tutoring at the Tertiary Level ↗Sebastian Steindl, Fabian Brunner, Nada Sissouno et al.
- On the Feasibility of In-Context Probing for Data Attribution ↗Cathy Jiao, Weizhen Gao, Aditi Raghunathan et al.
- On the Fine-Grained Planning Abilities of VLM Web Agents ↗Surgan Jandial, Yinong Oliver Wang, Andrea Bajcsy et al.
- On the Perception Bottleneck of VLMs for Chart Understanding ↗Junteng Liu, Weihao Zeng, Xiwen Zhang et al.
- On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions ↗Weiqi Wang, Tianqing Fang, Haochen Shi et al.
- On the Role of Key Phrases in Argument Mining ↗Nilmadhab Das, Vijaya V Saradhi, Ashish Anand
- On the Role of Semantic Proto-roles in Semantic Analysis: What do LLMs know about agency? ↗Elizabeth Spaulding, Shafiuddin Rehan Ahmed, James Martin
- On the Versatility of Sparse Autoencoders for In-Context Learning ↗Ikhyun Cho, Gaeul Kwon, Julia Hockenmaier
- One More Question is Enough, Expert Question Decomposition (EQD) Model for Domain Quantitative Reasoning ↗Mengyu Wang, Sotirios Sabanis, Miguel de Carvalho et al.
- One-Dimensional Object Detection for Streaming Text Segmentation of Meeting Dialogue ↗Rui He, Zhongqing Wang, Minjie Qiang et al.
- One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning ↗Ritesh Goru, Shanay Mehta, Prateek Jain
- Open Domain Question Answering with Conflicting Contexts ↗Siyi Liu, Qiang Ning, Kishaloy Halder et al.
- Open-DeBias: Toward Mitigating Open-Set Bias in Language Models ↗Arti Rani, Shweta Singh, Nihar Ranjan Sahoo et al.
- Open-Set Living Need Prediction with Large Language Models ↗Xiaochong Lan, Jie Feng, Yizhou Sun et al.
- Open-World Authorship Attribution ↗Xinhao Tan, Songhua Liu, Xia Cong et al.
- OpenBioNER: Lightweight Open-Domain Biomedical Named Entity Recognition Through Entity Type Description ↗Alessio Cocchieri, Giacomo Frisoni, Marcos Martínez Galindo et al.
- OpenHuEval: Evaluating Large Language Model on Hungarian Specifics ↗Haote Yang, Xingjian Wei, Jiang Wu et al.
- Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics ↗Yuxuan Ye, Raul Santos-Rodriguez, Edwin Simpson
- Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models ↗Zezhou Wang, Yaxin Du, Xingjun Ma et al.
- Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques ↗Ivan Lee, Taylor Berg-Kirkpatrick
- Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation ↗Luca Moroni, Giovanni Puccetti, Pere-Lluís Huguet Cabot et al.
- Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following ↗Jie Zeng, Qianyu He, Qingyu Ren et al.
- Out-of-Context Reasoning in Large Language Models ↗Jonathan Shaki, Emanuele La Malfa, Michael J. Wooldridge et al.
- Over-Generation and Compaction: A Prompting Strategy for Procedural Text Adaptation with Large Language Models ↗Hyeongsik Kim, Yanheng Xu, Chaoqun Dong et al.
- Overcoming both Domain Shift and Label Shift for Referring Video Segmentation ↗Hai Huang, Sashuai Zhou, Yan Xia
- P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMs ↗Dongjun Jang, Youngchae Ahn, Hyopil Shin
- P3: Prompts Promote Prompting ↗Xinyu Zhang, Yuanquan Hu, Fangchao Liu et al.
- PAM: Paraphrase AMR-Centric Evaluation Metric ↗Afonso Sousa, Henrique Lopes Cardoso
- PASTEL : Polarity-Aware Sentiment Triplet Extraction with LLM-as-a-Judge ↗Aaditya Bodke, Avinoor Singh Kohli, Hemant Subhash Pardeshi et al.
- PATIMT-Bench: A Multi-Scenario Benchmark for Position-Aware Text Image Machine Translation in Large Vision-Language Models ↗Wanru Zhuang, Wenbo Li, Zhibin Lan et al.
- PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA ↗Xinyu Wang, Yanzheng Xiang, Lin Gui et al.
- PEMV: Improving Spatial Distribution for Emotion Recognition in Conversations Using Proximal Emotion Mean Vectors ↗Chen Lin, Fei Li, Donghong Ji et al.
- PEPE: Long-context Extension for Large Language Models via Periodic Extrapolation Positional Encodings ↗Jikun Hu, Dongsheng Guo, Yuli Liu et al.
- PEToolLLM: Towards Personalized Tool Learning in Large Language Models ↗Qiancheng Xu, Yongqi Li, Heming Xia et al.
- PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts ↗Ming Zhang, Yuhui Wang, Yujiong Shen et al.
- PICD-Instruct: A Generative Instruction Learning Framework for Few-Shot Multi-Intent Spoken Language Understanding ↗Wenbin Hua, Rui Fan, Tingting He et al.
- PLD+: Accelerating LLM Inference by Leveraging Language Model Artifacts ↗Shwetha Somasundaram, Anirudh Phukan, Apoorv Saxena
- PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models ↗ChenZhuo Zhao, Ziqian Liu, Xinda Wang et al.
- POW: Political Overton Windows of Large Language Models ↗Leif Azzopardi, Yashar Moshfeghi
- PREMISE: Matching-based Prediction for Accurate Review Recommendation ↗Wei Han, Hui Chen, Soujanya Poria
- PROMTEC: Fast LLM Inference Decoding using Prompt Multi-Lookup with Template Database and Common Sequences ↗Alan Chi-Man Lee, Wing-Sun Cheng, Calvin Chun-Kit Chan
- PUER: Boosting Few-shot Positive-Unlabeled Entity Resolution with Reinforcement Learning ↗Yaoshu Wang, Mengyi Yan, Wei Wang
- PVTNL: Prompting Vision Transformers with Natural Language for Generalizable Person Re-identification ↗Wangning, Lei Xie, Sanglu Lu et al.
- Parameter-Efficient Fine-Tuning via Circular Convolution ↗Aochuan Chen, Jiashun Cheng, Zijing Liu et al.
- Path-enhanced Pre-trained Language Model for Knowledge Graph Completion ↗Hao Wang, Dandan Song, Zhijing Wu et al.
- Permitted Knowledge Boundary: Evaluating the Knowledge-Constrained Responsiveness of Large Language Models ↗Wenrui Bao, Kai Wang, Siqiang Luo et al.
- Personalized Question Answering with User Profile Generation and Compression ↗Hang Su, Yun Yang, Tianyang Liu et al.
- Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages ↗Yongdong Chi, Hanqing Wang, Yun Chen et al.
- Pitfalls of Scale: Investigating the Inverse Task of Redefinition in Large Language Models ↗Elena Stringli, Maria Lymperaiou, Giorgos Filandrianos et al.
- PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels ↗Peyman Rostami, Vahid Rahimzadeh, Ali Adibi et al.
- PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes ↗Xuming Hu, Chuan Lei, Xiao Qin et al.
- Position Paper: MeMo: Towards Language Models with Associative Memory Mechanisms ↗Fabio Massimo Zanzotto, Elena Sofia Ruzzetti, Giancarlo A. Xompero et al.
- PrAd: Prompt Adaptive Tuning for Decoder-only Language Models ↗Youneng Ma, Junyi He, Haojun Fei
- Prediction-Augmented Generation for Automatic Diagnosis Tasks ↗Chan-Yang Ju, Dong-Ho Lee
- Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning ↗Jianing Wang, Jin Jiang, Yang Liu et al.
- ProBench: Judging Multimodal Foundation Models on Open-ended Multi-domain Expert Tasks ↗Yan Yang, Dongxu Li, Haoning Wu et al.
- ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval ↗Yi Pan, Yujia Zhang, Michael Kampffmeyer et al.
- Proactive User Information Acquisition via Chats on User-Favored Topics ↗Shiki Sato, Jun Baba, Asahi Hentona et al.
- Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models ↗Chenchen Yuan, Zheyu Zhang, Shuo Yang et al.
- Probability-Consistent Preference Optimization for Enhanced LLM Reasoning ↗Yunqiao Yang, Houxing Ren, Zimu Lu et al.
- Probing Subphonemes in Morphology Models ↗Gal Astrach, Yuval Pinter
- ProcVQA: Benchmarking the Effects of Structural Properties in Mined Process Visualizations on Vision–Language Model Performance ↗Kazi Tasnim Zinat, Saad Mohammad Abrar, Shoumik Saha et al.
- ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations ↗Ekaterina Grishina, Mikhail Gorbunov, Maxim Rakhuba
- Progressive Facial Granularity Aggregation with Bilateral Attribute-based Enhancement for Face-to-Speech Synthesis ↗Yejin Jeon, Youngjae Kim, Jihyun Lee et al.
- Prompt-Guided Selective Masking Loss for Context-Aware Emotive Text-to-Speech ↗Yejin Jeon, Youngjae Kim, Jihyun Lee et al.
- PropXplain: Can LLMs Enable Explainable Propaganda Detection? ↗Maram Hasanain, Md Arid Hasan, Mohamed Bayan Kmainasi et al.
- ProtoXTM: Cross-Lingual Topic Modeling with Document-Level Prototype-based Contrastive Learning ↗Seung-Won Seo, Soon-Sun Kwon
- Proxy Barrier: A Hidden Repeater Layer Defense Against System Prompt Leakage and Jailbreaking ↗Pedro Schindler Freire Brasil Ribeiro, Iago Alves Brito, Rafael Teixeira Sousa et al.
- Pruning General Large Language Models into Customized Expert Models ↗Yiran Zhao, Guizhen Chen, Kenji Kawaguchi et al.
- Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs ↗Yao Fu, Runchao Li, Xianxuan Long et al.
- Public Data Assisted Differentially Private In-Context Learning ↗Seongho Joo, Hyukhun Koh, Kyomin Jung
- Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison ↗George-Kirollos Saad, Scott Sanner
- QUARTZ: QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization ↗Mohamed Imed Eddine Ghebriout, Gaël Guibon, Ivan Lerner et al.
- QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory ↗Yihang Wang, Xu Huang, Bowen Tian et al.
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