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ORCID64th ACL 2026: San Diego, California, USA - Short Papers
- Maria Liakata, Viviane P. Moreira, Jiajun Zhang, David Jurgens:
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2026, San Diego, California, United States, July 2-7, 2026. Association for Computational Linguistics 2026, ISBN 979-8-89176-391-3 - Frontmatter.
- Zheng Gong, Ying Sun, Ping Li, Yi Zheng, Zhefeng Wang:
Punctuation-Steered Representation Fine-Tuning. 1-8 - Sho Hoshino, Ukyo Honda, Peinan Zhang:
Does Self-Consistency Improve the Recall of Encyclopedic Knowledge? 9-17 - Guy Yariv, Idan Schwartz, Yossi Adi, Sagie Benaim:
LaMI: Augmenting Large Language Models via Late Multi-Image Fusion. 18-26 - Guan-Ting Lin, Shih-Yun Shan Kuan, Jiatong Shi, Kai-Wei Chang, Siddhant Arora, Shinji Watanabe, Hung-Yi Lee:
Full-Duplex-Bench-v2: A Multi-Turn Evaluation Framework for Duplex Dialogue Systems with an Automated Examiner. 27-36 - Junjie Wu, Jiangnan Li, Yuqing Li, Lemao Liu, Liyan Xu, Jiwei Li, Dit-Yan Yeung, Jie Zhou, Mo Yu:
Situated Embedding Models for Context-Aware Dense Retrieval. 37-49 - Steven Bird:
Big AI is Accelerating the Metacrisis: What Can We Do? 50-61 - Daohuan Liu, Xia Lun, Yuer Wang, Jiaoyang Su, Xuri Tang:
From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy LLMs. 62-69 - Yuval Ran-Milo:
Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks. 70-89 - Yuval Ran-Milo, Hila Ofek, Shahar Mendel:
A Mechanistic Account of Attention Sinks in GPT-2: One Circuit, Broader Implications for Mitigation. 90-98 - Mateusz Klimaszewski, Piotr Andruszkiewicz:
Is a Document Educational or Just Wikipedia-Style? - Pitfalls of Classifier-Based Quality Filtering. 99-108 - Aleksandar Fontana, Marco Simoni, Giulio Rossolini, Paolo Mori, Andrea Saracino:
On the Hidden Objective Biases of Group-based Reinforcement Learning. 109-121 - Buqiang Xu, Yijun Chen, Jizhan Fang, Ruobin Zhong, Yunzhi Yao, Yuqi Zhu, Lun Du, Shumin Deng:
StructMem: Structured Memory for Long-Horizon Behavior in LLMs. 122-146 - Nikita Drozdov, Andrey Lemeshko, Nikita Gavrilov, Anton Konushin, Danila Rukhovich, Maksim Kolodiazhnyi:
Z3D: Zero-Shot 3D Visual Grounding from Images. 147-154 - Gongbo Zhang, Yifan Peng, Chunhua Weng:
Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization. 155-165 - Zixi Zhang, Zhiwen Mo, Yiren Zhao, Robert D. Mullins:
Deep Kernel Fusion for Transformers. 166-173 - Hillary N. Owusu, Naomi H. Feldman:
Anchoring Depends on Confidence and Post-Training in Language Models. 174-180 - Paolo Gajo, Domenic Rosati, Hassan Sajjad, Alberto Barrón-Cedeño:
LLMs Underperform Graph-Based Parsers on Supervised Relation Extraction for Complex Graphs. 181-193 - Immanuel Abdi, Akshat Gupta, Micah Mok, Alexander Lu, Nicholas Lee, Gopala Anumanchipalli:
Evolutionary Strategies at Scale lead to Catastrophic Forgetting. 194-204 - Zhenwen Liang, Yujun Zhou, Sidi Lu, Xiangliang Zhang, Haitao Mi, Dong Yu:
Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data. 205-215 - Zhikun Xu, Xiaodong Yu, Ben Zhou, Jiang Liu, Jialian Wu, Ze Wang, Ximeng Sun, Hao Chen, Zicheng Liu:
Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement Learning. 216-226 - Mafizur Rahman, Lijun Qian:
Attention Under Attack: Analog Noise Effects and Mechanistic Vulnerabilities in Transformer Models. 227-237 - Priyaranjan Pattnayak, Apoorv Bhatia:
ReproEvalCard: A Reporting Standard for Reproducible Evaluation of LLM Pipelines. 238-249 - Nishant Balepur, Atrey Desai, Rachel Rudinger:
Test-Time Reasoners Are Strategic Multiple-Choice Test-Takers. 250-272 - Yi Lin, Yihao Ding, Yonghui Wu, Yifan Peng:
MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation. 273-285 - Clemente Pasti, Andreas Opedal, Timothy J. O'Donnell, Ryan Cotterell, Tim Vieira:
Prefix Parsing is Just Parsing. 286-309 - Kevin Everson, Mari Ostendorf:
Privacy-preserving Prosody Representation Learning. 310-315 - Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras:
Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks. 316-336 - Yuanjian Xu, Tianze Sun, Changwei Xu, XinLong Zhao, Jianing Hao, Ran Chen, Yang Liu, Ruijie Xu, Stephen Chen, Guang Zhang:
Rethinking Data Mixing from the Perspective of Large Language Models. 337-349 - Danlu Chen, Ka Sing He, Jiahe Tian, Chenghao Xiao, Zhaofeng Wu, Taylor Berg-Kirkpatrick, Freda Shi:
Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages. 350-363 - Jeffrey George Wang, Jason Wang, Marvin Li, Seth Neel:
CheckMIABench: Firm Foundations For Membership Inference Attacks on Language Models. 364-370 - Shiying Fan, Mareike Bassenge, Martin Steinebach:
Luring as a Proxy: Evaluating Corpus Transferability for Cybergrooming Detection. 371-385 - Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, Sattvik Sahai, Prasoon Goyal, Kai-Wei Chang, Tao Zhang, Rahul Gupta:
From Narrow Unlearning to Emergent Misalignment in LLMs. 386-395 - Kisu Yang, Yoonna Jang, Hwanseok Jang, Kenneth Choi, Isabelle Augenstein, Heuiseok Lim:
Reliable Evaluation Protocol for Low-Precision Retrieval. 396-409 - Rhea Kapur, Robert D. Hawkins, Elisa Kreiss:
When More Words Say Less: Decoupling Length and Specificity in Image Description Evaluation. 410-422 - Chaewon Yoon, Dongjun Kim, Hyun-Je Song:
Selective Span-Level Unlearning for Large Language Models. 423-431 - Alberto Testoni, Iacer Calixto:
Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA. 432-447 - Yunxiang Mo, Tianshi Zheng, Qing Zong, Jiayu Liu, Baixuan Xu, Yauwai Yim, Chunkit Chan, Jiaxin Bai, Yangqiu Song:
DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay. 448-462 - Yong Guan, Zhiyuan Li, Shaoru Guo:
UERLens: Understanding Event Relations in Large Language Models. 463-471 - Andreas Van Cranenburgh, Xiaoyan Yang, Alvanita, Cecilia Nicole Di Domenico, Maria Ferragud, Arianna Graciotti, Byungjun Kim, Seonyeong Park, Noa Visser Solissa, Xiaoyu Zhou, Federico Pianzola:
GOLEMcoref: A Multilingual Coreference Dataset of Fiction. 472-480 - Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng:
Language-Aware Token Boosting: LLM Language Confusion Reduction Without Tuning. 481-489 - Imranul Ashrafi, Inigo Jauregi Unanue, Massimo Piccardi:
Pref-CTRL: Preference Driven LLM Alignment using Representation Editing. 490-500 - Venkata S. Govindarajan, Laura Biester:
Dark & Stormy: Modeling Humor in Sentences from the Bulwer-Lytton Fiction Contest. 501-510 - Xi Fang, Weijie Xu, Yuchong Zhang, Scott Nickleach, Stephanie Eckman, Chandan K. Reddy:
The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs. 511-529 - Zhenhan Huang:
Neuro-Symbolic Agentic Reinforcement Learning for Long-Term Original Character Companionship and Interaction. 530-539 - Cheng Wang, Qin Liu, Wenxuan Zhou, Muhao Chen:
Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting. 540-546 - Ayoub Hammal, Pierre Zweigenbaum, Caio Corro:
On the Rejection Criterion for Proxy-based Test-time Alignment. 547-554 - Havva Alizadeh Noughabi, Fattane Zarrinkalam, Ali Dehghantanha:
Defense Against Knowledge Poisoning Attack on GraphRAG. 555-563 - Tanmay Parekh, Ella Hofmann-Coyle, Shuyi Wang, Sachith Sri Ram Kothur, Srivas Prasad, Yunmo Chen:
PExA: Parallel Exploration Agent for Complex Text-to-SQL. 564-594 - Lechen Zhang, Yunxiang Zhang, Wei Hu, Lu Wang:
Skill-Aware Data Selection and Fine-Tuning for Data-Efficient Reasoning Distillation. 595-604 - Seyedali Mohammadi, Manas Gaur, Francis Ferraro:
Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models. 605-614 - Mohammadsadegh Abolhasani, Reza Mousavi, Paul Jen-Hwa Hu:
CaBSALLM: Efficient Context-Aware Batch Annotation of Conversational Streams with Large Language Models. 615-636 - Yuchen Huang, Junpeng Zhang, Quanshi Zhang:
Challenging the Explanation Based on Preceding Tokens: Discovering Transferable Non-Literal Biasing. 637-645 - Jedrzej Warczynski, Ondrej Dusek, Mateusz Lango:
One-step Nonautoregressive Natural Language Generation with Shortcut Flow Matching Models. 646-655 - Yijie Chen, Yijin Liu, Fandong Meng:
SED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning. 656-663 - Shahid Iqbal Rai, Danilo Croce, Roberto Basili:
Frame-Semantic Knowledge Injection for Event-Level Inference in LLMs. 664-678 - Tinnakit Udsa, Can Udomcharoenchaikit, Patomporn Payoungkhamdee, Sarana Nutanong, Norrathep Rattanavipanon:
Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning. 679-693 - Lu Shijia, Fumiyo Fukumoto, Xiaoxi Huang, Yoshimi Suzuki:
FL-MSCL: A Unified Figurative Language Detection Model Driven by Multi-Type Signals and Contrastive Learning. 694-702 - Anuj Kumar, Satyadev Ahlawat, Yamuna Prasad, Virendra Singh:
Revisiting Evaluation of Question Answering Systems in Low-Resource Indic Languages: Bridging Human and Metric Alignment. 703-718 - Rikuto Kotoge, Yuichi Sasaki:
Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-Speech. 719-726 - Pratham Yashwante, Davit Abrahamyan, Shresth Grover, Sukruth Rao:
How Do Inpainting Artifacts Propagate to Language? 727-745 - Obed Junias, Maria Leonor Pacheco:
LOGICAL-COMMONSENSEQA: A Benchmark for Logical Commonsense Reasoning. 746-758 - Mengfei Lan, Lecheng Zheng, Halil Kilicoglu:
BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels. 759-769 - Mert Inan, Malihe Alikhani, Anthony Sicilia:
Dialogue is the Plan: From Interface to Joint Action in Agentic AI. 770-779 - Seungmin Oh, Eunseok Lee:
Late Code Chunking: A Code Chunking Strategy for Repository-Level Code Completion. 780-786 - Ali El Lahib, Ying-Jieh Xia, Zehan Li, Yuxuan Wang, Xinyu Pi:
Temporal Leakage in Search-Engine Date-Filtered Web Retrieval: A Retrospective Forecasting Case Study. 787-795 - Stefano Civelli, Pietro Bernardelle, Nicolò Brunello, Gianluca Demartini:
A Shared Geometry of Difficulty in Multilingual Language Models. 796-807 - Hanchen Xia, Baoyou Chen, Yutang Ge, Guojiang Zhao, Siyu Zhu:
T^\star: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning. 808-816 - Hang Lv, Hongchao Gu, Ruiqing Yang, Liangyue Li, Zulong Chen, Defu Lian, Hao Wang, Enhong Chen:
Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration. 817-826 - Nitin Vetcha, Binqian Xu, Dianbo Liu:
Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models. 827-840 - Yujie Luo, Zhuoyun Yu, Xuehai Wang, Yuqi Zhu, Ningyu Zhang, Lanning Wei, Lun Du, Da Zheng, Huajun Chen:
What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations. 841-861 - Sai Srinivas Kancheti, Aditya Sanjiv Kanade, Vineeth N. Balasubramanian, Tanuja Ganu:
Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs. 862-876 - Long Hai Trieu, Hieu Minh Phi, Makoto Miwa:
Reviving Iterative Refinement in Diffusion-based NER with an Initializer-Restorer Approach. 877-882 - Nabil Ibtehaz, Daisuke Kihara:
Protein-STORY: Semantic Text-Oriented Representation Yields biologically meaningful Protein embeddings. 883-897 - Chenyang Huang, Osmar Zaïane:
Diving into the Decoding Space of Non-Autoregressive Models via Lexically Constrained Search. 898-906
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