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Findings of the Association for Computational Linguistics 2026: all accepted papers

2,517 papers · page 10 of 26 · the most cited first · ← Findings of the Association for Computational Linguistics 2026

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  1. DeepPrune: Parallel Scaling without Inter-trace Redundancy ↗Shangqing Tu, Yaxuan Li, Yushi Bai et al.
  2. DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router ↗Minghao Guo, Qingcheng Zeng, Xujiang Zhao et al.
  3. DeepSpecs: Expert-Level Question Answering in 5G ↗Aman Ganapathy Manvattira, Yifei Xu, Ziyue Dang et al.
  4. DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing ↗Hongzhi Zhang, Yuanze Hu, Tinghai Zhang et al.
  5. Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language Models ↗Boyang Zhang, Istemi Ekin Akkus, Ruichuan Chen et al.
  6. Defending LLMs against Jailbreak Attacks via Template-Based ICL with a Defensive Suffix ↗Ruiyang Ni, Changlong Li, Shuaibiao Han et al.
  7. Demystify the Role of Memory in Machine Learning Engineering Agents ↗Xinyu Zhao, Junpeng Wang, Yuzhong Chen et al.
  8. Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs ↗Yusuke Nakamura, Hirokazu Kiyomaru, Chaoran Liu et al.
  9. Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering ↗Haiyan Zhao, Xuansheng Wu, Fan Yang et al.
  10. Deputy: Accelerating Large Language Model Inference with Dynamic Low-Rank Substitution ↗Yuhua Zhou, Shichao Weng, Changhai Zhou et al.
  11. Design First, Code Later: Aesthetically Pleasing Template-Free Slides Generation ↗Zhiyao Cui, Chenxu Wang, Shuyue Hu et al.
  12. Detecting AI-Generated Video: A Vision–Language Dual-View Survey ↗Dylan Xinming Hou, Juntian Zhang, Xu Gu et al.
  13. Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps ↗Jonas Waldendorf, Bashar Awwad Shiekh Hasan, Evgenii Tsymbalov
  14. Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Tests ↗Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma
  15. Detecting Sensitive Personal Information in Japanese Pre-Training Corpora for Large Language Models ↗Rei Minamoto, Yusuke Oda, Daisuke Kawahara
  16. Detecting Winning Arguments with Large Language Models and Persuasion Strategies ↗Tiziano Labruna, Arkadiusz Modzelewski, Giorgio Satta et al.
  17. Detection of Adversarial Prompts with Model Predictive Entropy ↗Franziska Rubenbauer, Sebastian Steindl, Patrick Levi et al.
  18. DiFRa: A Unified Framework for Harmonizing Semantic Diversity and Factual Consistency in Question-Answer Generation ↗Zhenqin Li, ShengYong Ding, Shuangyin Li
  19. DiSec: Mitigating Backdoors in Pre-trained Language Models via Disentanglement of Adversarial Weights for Secure Fine-Tuning ↗Sunanda Das, Qinghua Li
  20. DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive Calibration ↗Yanru Huo, Ziyue Jiang, Zuoli Tang et al.
  21. Diagnosing LLMs via Information Spectrum Analysis: Tail Behavior and the Effects of Side Information ↗Yuuki Tachioka
  22. Diagnosis of Dysarthria Severity and Explanation Generation Using XAI-Enhanced CLINIC-GENIE on Diadochokinetic Tasks ↗Jihyeon Kim, Insung Lee, Myoung-Wan Koo
  23. Dial HEALTHDIAL for Advice: A Multilingual and Multi-Parallel Spoken Dialogue Dataset for Knowledge-Grounded Information Seeking ↗Songbo Hu, Yinhong Liu, Ej Zhou et al.
  24. Dialectical Structured Reasoning for Explainable Multimodal Fake News Detection ↗Ruichao Yang, Yufan Bian, Wei Gao et al.
  25. Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations ↗Zijie Liu, Xinyu Zhao, Jie Peng et al.
  26. Dictionary Guided Sparse Logit Editing for Reliable Jailbreak Attacks ↗Shuaibiao Han, Ruiyang Ni, Zhiyu Yi et al.
  27. DiffCL: Difference-Aware Contrastive Learning for Automatic Answer Grading with Multi-Level Semantic Modeling ↗Lei Chen, BoYu Gao, Zitao Liu et al.
  28. DiffER: Diffusion Entity-Relation Modeling for Reversal Curse in Diffusion Large Language Models ↗Shaokai He, Kaiwen Wei, Xinyi Zeng et al.
  29. Diffusion Language Model Inference with Monte Carlo Tree Search ↗Zheng Huang, Kiran Ramnath, Yueyan Chen et al.
  30. Diffusion with Truncated Blocks: Fast and High-Quality Text Generation using Truncated Block Generation ↗Yuyan Zhou, Weiyu Chen, James Kwok
  31. Direct Token Optimization: A Self-Contained Approach to Large Language Model Unlearning ↗Hong Kyu Lee, Ruixuan Liu, Li Xiong
  32. DisastQA: A Comprehensive Benchmark for Evaluating Question Answering in Disaster Management ↗Zhitong Chen, Kai Yin, Xiangjue Dong et al.
  33. Disentangling Codemixing in Chats: The NUS ABC Codemixed Corpus ↗Svetlana Churina, Akshat Gupta, Nur Insyirah Binte Imam Mujtahid et al.
  34. Disentangling Continued Pre-Training: Attention-Driven Routing and Semantic Hub Preservation in Language Adaptation ↗Khanh-Tung Tran, Vinh-Khanh Tran, Barry O'Sullivan et al.
  35. Dissecting Clinical Reasoning in Natural Language Inference for Large Language Models ↗Mael Jullien, Andre Freitas, Marco Valentino et al.
  36. Distill and Align Decomposition for Enhanced Claim Verification ↗Jabez Magomere, Elena Kochkina, Samuel Mensah et al.
  37. Distilling Examples into Task Instructions: Enhanced In-Context Learning for Real-World B2B Conversations ↗Guy Rotman, Adi Kopilov, Danit Berger Zalmanson et al.
  38. Distilling LLM Reasoning into Dense Encoders: Bridging the Accuracy-Efficiency Gap in Recommendation ↗Donghee Han, Daeyoung Roh, A Young Kim et al.
  39. Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding ↗Taewon Yun, Jisu Shin, Jeonghwan Choi et al.
  40. Distilling the Essence, Discarding the Dross: Improving Fairness in Multimodal Large Language Models via Historical Reflection-Guided Prompt Optimization ↗Juncheng Hu, Jiming Yu, Rui Song et al.
  41. Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation ↗Wei-Rui Chen, Vignesh Kothapalli, Ata Fatahibaarzi et al.
  42. Distribution Shift Alignment Helps LLMs Simulate Survey Response Distributions ↗Ji Huang, Mengfei LI, Shuai Shao
  43. Distributional Alignment for Large Language Models under Domain Shift ↗Viet Thanh Pham, Lizhen Qu, Zhuang Li et al.
  44. Divergent Thinking: Escape the Homogeneity Trap in Generative Commonsense Reasoning ↗Yiheng Tao, Kaiwen Cheng, Zhiwei Nie et al.
  45. Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation ↗Nuo Chen, Yicheng Tong, Yuzhe Yang et al.
  46. Do BabyLMs Wanna Learn Wanna Contraction? On the Learnability without Language-Specific Bias ↗Kangsan Noh, Sanghoun Song
  47. Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM BenchmarksGo Inoue, Bashar Alhafni, Nizar Habash et al.our summary
  48. Do Domain-specific Experts exist in MoE-based LLMs? ↗Giang Do, Hung Le, Truyen Tran
  49. Do Emotions Influence Moral Judgment in Large Language Models? ↗Mohammad Saim, Tianyu Jiang
  50. Do GUI Grounders Truly Understand UI Elements? ↗Surgan Jandial, Yinheng Li, Justin Wagle et al.
  51. Do Generalisation Results Generalise? ↗Matteo Boglioni, Andrea Sgobbi, Gabriel Tavernini et al.
  52. Do Image–Text Metrics Respect Semantic Invariances? ↗Amit Agarwal, Hitesh Laxmichand Patel, Meizhu Liu et al.
  53. Do LLM Agents Really Mimic Humans? Diagnosing and Aligning Microeconomic Behaviors in Macro-ABMs ↗Guangya Liu, Cheng Wang, Jiangtong Li et al.
  54. Do LLMs Catch Their Own Mistakes? A Comprehensive Benchmark for Reflective Tool Use LLMs ↗Zheyuan Liu, Liqiang Xiao, Yang Li et al.
  55. Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models ↗Gaurav Srivastava, Aafiya Shamshad Hussain, Sriram Srinivasan et al.
  56. Do LLMs Really Know What They Don't Know? Internal States Mainly Reflect Knowledge Recall Rather Than Truthfulness ↗Chi Seng Cheang, Hou Pong Chan, Wenxuan Zhang et al.
  57. Do LLMs model human linguistic variation? A case study in Hindi-English Verb code-mixing ↗Mukund Choudhary, Madhur Jindal, Gaurja Aeron et al.
  58. Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response Lengths ↗Inderjeet Jayakumar Nair, Lu Wang
  59. Do Language Models Use Logophoric Cues? Evidence from Mandarin Chinese Long-Distance Reflexive ↗Yunfang Dong
  60. Do MLLMs Understand Pointing? Benchmarking and Enhancing Referential Reasoning in Egocentric Vision ↗Chentao Li, Zirui Gao, Mingze Gao et al.
  61. Do Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks ↗Ali Al-Lawati, Suhang Wang
  62. Do Not Guess, Verify: Logic-Guided Adaptive Reasoning for Multimodal Misinformation Detection ↗Kun Huang, Rui Qiu, Xiaoming Li et al.
  63. Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting Circuits ↗Yizheng Zhao
  64. Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models ↗Zhining Liu, Tianyi Wang, Xiao Lin et al.
  65. Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems ↗Zixu Wang, Bingbing Xu, Yige Yuan et al.
  66. Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models ↗Bajian Xiang, Tingwei Guo, Xuan Chen et al.
  67. Do You Get the Hint? Benchmarking LLMs on the Board Game Concept ↗Ine Gevers, Walter Daelemans
  68. Doc-PP: Document Policy Preservation Benchmark for Large Vision-Language Models ↗Haeun Jang, Hwan Chang, Hwanhee Lee
  69. Does Chain-of-Thought Reasoning Help Mobile GUI Agents? An Empirical Study ↗Li Zhang, Longxi Gao, Mengwei Xu
  70. Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations ↗Nanxu Gong, Zixin Chen, Haotian Li et al.
  71. Domain-Specific Data Generation Framework for RAG Adaptation ↗Chris Xing Tian, Weihao Xie, Zhen Chen et al.
  72. Don't Just Listen, Try Planning: Graph-based Retrieval-Generation Agent for Long-form Audio Meeting Understanding ↗Quanwei Tang, Dong Zhang, Shoushan Li et al.
  73. Don't Tell the Answer, Truly Guide the Reasoning During RL Rollouts ↗Xinyi Wang, Jinyi Han, Zishang Jiang et al.
  74. Double-Edged Sword or Sharp Tool? Designing and Evaluating Triadic LLM-Teacher Collaboration for K-12 Writing at Scale ↗Canran Wang, Yuwen Yang, Zhen Wang et al.
  75. Dr. Assistant: Enhancing Clinical Diagnostic Inquiry via Structured Diagnostic Reasoning Data and Reinforcement Learning ↗Yue Guo, Fanfu Wang, Jianwei Lv et al.
  76. DuET: Dual Execution for Test Output Prediction with Generated Code and Pseudocode ↗Hojae Han, Jaejin Kim, Seung-won Hwang et al.
  77. Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents ↗Xubo Lin, Zezhi Deng, Shihao Wang et al.
  78. Dual-Reasoner: Bridging Interleaved Atomicity and Streaming Latency via Thinking-while-Talking ↗Yangzhuo Li, Shengpeng Ji, Yifu Chen et al.
  79. DualAlign: Generating Clinically Grounded Synthetic Data ↗Rumeng Li, XWang, Hong yu
  80. DualFact+: A Multimodal Fact Verification Framework for Procedural Video Captioning ↗Cennet Oguz, Yasser Hamidullah, Josef van Genabith et al.
  81. DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack ↗Hao Li, Yubing Ren, Yanan Cao et al.
  82. Dunhuang-Bench: How Well Do MLLMs Understand Cultural Heritage? ↗Junyi Yuan, Jian Zhang, Tianxiu Yu et al.
  83. Duplicate-Aware Controlled Code Generation: Enhancing Copyright Protection with Targeted Reordering Beam Search in LLMs ↗Junbo Fu, Guoshuai Zhao, Linkang Yang et al.
  84. Dynamic Graph Navigation via Triplet Chains for Structure-Aware Retrieval-Augmented Generation ↗Feng Zhao, Yufei Wu, Xianggan Liu et al.
  85. Dynamic PMI-Guided Contrastive Decoding Reduces Hallucination in Large Language Models: A Unified Framework of Fine-Grained Input Transformations ↗Dongsheng Chen, Yingqi Zhu, Xingyue Zhang et al.
  86. Dynamic Tool Dependency Retrieval for Lightweight Function Calling ↗Bhrij Patel, Davide Belli, Amir Jalalirad et al.
  87. DynamicFocalPO: Adaptive Focusing Strategy for Preference Optimization ↗Shu Zhou, Junan Chen, Rui Ling et al.
  88. DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections ↗Haebin Shin, Lei Ji, Xiao Liu et al.
  89. E-ABSA20K: A Dataset and Propose-and-Verify for Aspect-Based Sentiment Analysis in Long E-commerce Reviews ↗Tong Sun, Mingyang Ma, Cheng Yu
  90. E2E-GMNER: End-to-End Generative Grounded Multimodal Named Entity Recognition ↗Meng Zhang, Jinzhong Ning, Xiaolong Wu et al.
  91. EAIR: Entity-aware Inference-Time Knowledge Routing for Multi-Hop Knowledge Editing ↗Jungyu Lee, Kunhui Lee, Gyun Lee et al.
  92. ECHA: Jailbreaking LVLMs via the Mismatch between Implicit Semantic Reconstruction and Explicit Safety Alignment ↗Chenxing Xu, Junyong Jiang, Zehu Zhang et al.
  93. EET: Experience-Driven Early Termination for Cost-Efficient Software Engineering Agents ↗Yaoqi Guo, Ying Xiao, Jie M. Zhang et al.
  94. EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval ↗Yifan Song, Xingjian Tao, Zhicheng Yang et al.
  95. ELTLM: Evaluation of Longitudinal Temporal Large Multimodal Models in Clinical Scenarios ↗Gengyuan Hu, Haoxiang Liu, Chenhong Cao et al.
  96. EMA: An Episodic Memory Agent for Efficient and Selective Memory ↗Hongyi Lan, Jiaqi Song, Zhengjia Zhong et al.
  97. EMCompress: Video-LLMs with Endomorphic Multimodal Compression ↗Zheyu Fan, Jiateng Liu, Yuji Zhang et al.
  98. EMPATH: An Ensemble Method for Automatic Fine-Grained Turn-Level Dialogue Empathy Evaluation with a Novel Emotional Distance Metric ↗Dongning Rao, Zhihua Liang, Zhihua Jiang
  99. EMSDialog: Synthetic Multi-person Emergency Medical Service Dialogue Generation from Electronic Patient Care Reports via Multi-LLM Agents ↗Xueren Ge, Sahil Murtaza, Anthony Cortez et al.
  100. EMTIR-GRPO: Efficient Multi-Tool Augmented Large Language Models via Reinforcement Learning ↗Shixin Jiang, Zhihao Zhu, Jiafeng Liang et al.

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