Findings of the Association for Computational Linguistics 2026: all accepted papers
- Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions ↗Ignacio Sastre, Aiala Rosá
- Concept rather than Document: Context Compression via AMR-based Conceptual Entropy ↗Kaize Shi, Xueyao Sun, Xiaohui Tao et al.
- Conceptual Hierarchies within LLMs ↗Tiago Almeida, Zining Zhu, Yue Ning
- Concise Math Reasoning via Difficulty-Aware Distillation ↗Yifan Wu, Jingze Shi, Bingheng Wu et al.
- CondenseFlow: Scalable Latent Space Collaboration via Semantic Compression for Multi-Agent Systems ↗Xiaoyu Chen, Fengge Wu, Zhao Junsuo et al.
- Confidence Estimation for LLMs in Multi-turn Interactions ↗Caiqi Zhang, Ruihan Yang, Xiaochen Zhu et al.
- Confidence-Aware Ranker Ensembles for Robust In-Context Knowledge Editing ↗Tejal Nair, Mahmud Wasif Nafee, Maiqi Jiang et al.
- Confidence-Driven Multi-Scale Model Selection for Cost-Efficient Inference ↗Bo-Wei Chen, Chung-Chi Chen, An-Zi Yen
- Confidence-Weighted Token Set Cover for Early Hypothesis Pruning in Self-Consistency ↗Md Arafat Sultan, Ramón Fernandez Astudillo
- Conflicts Make Large Reasoning Models Vulnerable to Attacks ↗Honghao Liu, Chengjin Xu, Xuhui Jiang et al.
- Conformal Event Prediction with Temporal Knowledge Graph ↗Cheng Hu, Cong Cao, Fangfang Yuan et al.
- Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment ↗Tiejin Chen, Xiaoou Liu, Vishnu Nandam et al.
- Content Fuzzing for Escaping Information Cocoons on Digital Social Media ↗Yifeng He, Ziye Tang, Hao Chen
- Context Attribution with Multi-Armed Bandit Optimization ↗Deng Pan, Keerthiram Murugesan, Ting Hua et al.
- Context as a Tool: Context Management for Long-Horizon SWE-Agents ↗Shukai Liu, Bo Jiang, Jian Yang et al.
- Context-Agent: Dynamic Discourse Trees for Non-Linear Dialogue ↗Junan Hu, Shudan Guo, Wenqi Liu et al.
- Context-Conditioned Masked LoRA: Dynamic Rank Routing for Compute-Efficient Parameter-Efficient Fine-Tuning ↗Rifat Rafiuddin, Rafae Abdullah
- Context-Driven and Reference-Guided Data Augmentation for Subtitle Translation ↗Hitoshi Ito, Naoto Shirai, Kazutaka Kinugawa et al.
- Context-Value-Action Architecture for Value-Driven Large Language Model Agents ↗TianZe Zhang, Sirui Sun, Yuhang Xie et al.
- ContextCheck: Sentence-Level Faithfulness Verification with Context-Aware Disambiguation ↗Yueqin Yin, Yaxi Li, Xin Liu et al.
- Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs ↗Honghao Liu, Xuhui Jiang, Chengjin Xu et al.
- Continual Safety Alignment via Gradient-Based Sample Selection ↗Thong Bach, Dung Nguyen, Thao Minh Le et al.
- Contract-Coding: Towards Repo-Level Generation via Structured Symbolic Paradigm ↗Yilin, Lujin Zhao, Yijie Shi
- ContractEval: A Benchmark for Evaluating Contract-Satisfying Assertions in Code Generation ↗Soohan Lim, Joonghyuk Hahn, Hyunwoo Park et al.
- Contrastive Decoding Mitigates Score Range Bias in LLM-as-a-Judge ↗Yoshinari Fujinuma
- Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences ↗Guillem Ramírez, Alexandra Birch, Ivan Titov
- ConvX: A Lightweight Converter to Bridge Indexed Dense Representations and Large Language Models for Retrieval-Augmented Generation ↗Bonggeun Choi, Keunha Kim, Junho Han et al.
- CoopQ: Cooperative Game Inspired Layerwise Mixed Precision Quantization for LLMs ↗Junchen Zhao, Ali Derakhshan, Jayden Hyman et al.
- CoopValue: Revealing LLM Value Preferences Through Multi-Agent Cooperation ↗Zee Hen Tang, Mi-Yen Yeh
- Corpora Generation for Urdu Grammatical Error CorrectionSyed Ahad, Burhanuddin Aliasghar Ezzi, Muhammad Arsalan Hussain et al.our summary
- Correct, Concise and Complete: Multi-stage Training For Adaptive Reasoning ↗Nathanaël Carraz Rakotonirina, Ren Pang, Neha Anna John et al.
- Covariance Matrix-Driven Image Channel Allocation for Multimodal Fake News Detection ↗Zongliang Han, Wenyu Guo, Guoqing Jin et al.
- Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization ↗Jiwei Guan, Haibo Jin, Haohan Wang
- Creating ConLangs to Probe the Metalinguistic Grammatical Knowledge of LLMs ↗Chihiro Taguchi, Richard Sproat
- CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges ↗Zihan Wang, Lam Nguyen, Zhengyang Zhao et al.
- CrisPrune: Combining Contextual Relevance and Intrinsic Saliency for Efficient Visual Token Pruning in MLLMs ↗Ziniu Liu, Shuheng Zhou, Mingqing Liu et al.
- Critic Rule Induction: Improving Temporal Knowledge Graph Forecasting with Generator-Critic Language Models ↗Yingsong Ning, Fu Zhang, Jingwei Cheng et al.
- CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic ↗Yaocheng Zhang, Haohuan Huang, Zijun Song et al.
- Crossroads of Optimization under Uncertainty: How to Choose the Optimal Model ↗Chengxi She, Zhiqiang Chen, Xingyu Lu et al.
- CrowdSelect: SyntheticInstruction Data Selection with Multi-LLM Wisdom ↗Yisen Li, Lingfeng Yang, Wenxuan Shen et al.
- Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task Evaluation ↗Qiong Wu, Tan Yue, Jianxin Liang et al.
- D$^2$-RAG: Dual-Decision Retrieval-Augmented Generation via Multi-Dimensional Uncertainty and Utility-Aware Decoding ↗Jinshuo Zhang, Xiaoding Zhou, Weiyu Zhang et al.
- D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents ↗Hongze Mi, Yibo Feng, WenJie Lu et al.
- D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation ↗Junlin Li, Shuangyong Song, Guodong DU et al.
- D2PCM:A Multi-Turn Dialogue Dataset with Personalized Contextual Memory ↗Zhe Yang, Yi Huang, Yaqin Chen et al.
- DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution ↗L. D. M. S. Sai Teja, N. Siva Gopala Krishna, Ufaq Khan et al.
- DANCE: Diversity-attended Dynamic Caching with Asymmetric Quantization for Test-time Adaptation of Vision-Language Models ↗Shunge Zou, Changhu Wang, Wei Ju et al.
- DARL: Encouraging Diverse Answers for General Reasoning without Verifiers ↗Chongxuan Huang, Lei Lin, Xiaodong Shi et al.
- DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair Training ↗Ziwen Pan, Zihan Liang, Jad Kabbara et al.
- DELTA: Dynamic Layer-Aware Token Attention for Efficient Long-Context Reasoning ↗Hossein Entezari Zarch, Lei Gao, Chaoyi Jiang et al.
- DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance ↗Seffi Cohen, Nurit Cohen Inger, Niv Goldshlager et al.
- DGPO: Beyond Pairwise Preferences with Directional Consistent Groupwise Optimization ↗Mengyi Deng, Zhiwei Li, Xin Li et al.
- DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models ↗Hao Yang, Jin Wang, Xuejie Zhang
- DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding ↗Jiaming Zhou, Xuxin Cheng, Shiwan Zhao et al.
- DKME: Rethinking Coupled Knowledge Memory for Lifelong Model Editing of Large Language Models ↗Guanyu Zheng, Wang Zhenyu, He Tingting et al.
- DMSD: Dual-Modal Semantic Disentanglement for Compositional Zero-Shot Learning ↗Pan Yang, Jing Yang, Ruan Xiao li et al.
- DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models ↗Xueyu Zhou, Yangrong Hu, Jian Huang
- DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models ↗Biao Wu, Yiwu Zhong, Meng Fang et al.
- DP$^3$: Differentially Private Prompt Perturbation for Multi-turn LLM Inference ↗Lele Zheng, Chao Zhang, Feiyang Yuan et al.
- DPLoRA: A Dual-Pruning Framework based on ILP Optimization and Progressive Pruning for Parameter-Efficient LoRA Fine-Tuning ↗Changjun Park, Sejong Yoon, Jaekwang Kim
- DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models ↗Lifan Zheng, Xue Yang, Jiawei Chen et al.
- DR-HM: Distill-then-Reinforce Training with Cognition-Aware Data Synthesis for Harmful Meme Detection ↗Zihan Cheng, Jianxiang Ma, Xiaocui Yang et al.
- DRA-GRPO: Your GRPO Needs to Know Diverse Reasoning Paths for Mathematical Reasoning ↗Xiwen Chen, Wenhui Zhu, Peijie Qiu et al.
- DRIFT: Transferring Reasoning Priors for Efficient MLLM Fine-Tuning ↗Chao Huang, Zeliang Zhang, Jiang Liu et al.
- DRIV-EX: Counterfactual Explanations for Driving LLMs ↗Amaia Cardiel, Eloi Zablocki, Elias Ramzi et al.
- DRIVINGVQA: A Dataset for Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios ↗Charles Corbière, Simon Roburin, Syrielle Montariol et al.
- DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal ↗Peixuan Han, YingJie Yu, Jingjun Xu et al.
- DS2-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning ↗Ruiyao Xu, Noelle I. Samia, Han Liu
- DUET: Joint Exploration of User–Item Profiles in Recommendation System ↗Yue Chen, Yifei Sun, Lu Wang et al.
- DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation ↗Duc Trung Vu, Pham Khanh Chi, Dat Phi Van et al.
- DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone Agents ↗Kai Shi, Jun Yang, Ni Yang et al.
- Danger Depends on the Mind: A Theory-of-Mind Grounded Dataset and Model for Context-Dependent Dangerous Speech ↗Yuanchen Shi, Longyin Zhang, Guodong Zhou et al.
- DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards ↗Aaryaman Kartha, Ahmed Masry, Mohammed Saidul Islam et al.
- Data Selection for Multi-turn Dialogue Instruction Tuning ↗Bo Li, Shikun Zhang, Wei Ye
- Data Swarms: Optimizable Generation of Synthetic Evaluation Data ↗Shangbin Feng, Yike Wang, Weijia Shi et al.
- Data-Centric Continual Pre-training for 500+ Languages: A New Bilingual Translation Corpus and Multilingual Models ↗Shaoxiong Ji, Zihao Li, Jaakko Paavola et al.
- Data-Efficient Adaptation to Contextual Shifts in LLM-based Conversational Recommendation ↗Hyeongjun Yang, Donghyun Kim, Seokju Hwang et al.
- DataSeer: A Manager-Centric Collaborative Multi-Agent Framework with Multi-Branch Reasoning for Automated Insight Discovery ↗Suchen Liu, Yuanfeng Song, Jun Gao et al.
- Datamart-Agent: LLM-Driven Game-Theoretic Agent for Data Marketplace Modeling ↗Pangjing Wu, Peter Q. Chen, Xiaodong Li et al.
- Datasets for Scientific Literature Understanding: A Survey ↗Yuanzhe Zhang, Xun Zhao, Maodi Hu et al.
- DcLM: Output Length Control of Large Language Models via Dynamic Length Markers ↗Zhe Chen, Jiaao Yu, Honglin Li
- DeFrame: Debiasing Large Language Models Against Framing Effects ↗Kahee Lim, Soyeon Kim, Steven Euijong Whang
- DeVisE: Towards the Behavioral Testing of Medical Large Language Models ↗Camila Zurdo Tagliabue, Heloisa Oss Boll, Aykut Erdem et al.
- Debiasing LLMs by Masking Unfairness-Driving Attention Heads ↗Tingxu Han, Wei Song, Ziqi Ding et al.
- Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine ↗Sebastian Antony Joseph, Lily Chen, Barry Wei et al.
- Deciphering Cultural Representations in Large Language Models via Sparse Autoencoders ↗Chenye Zou, Difan Jiao, Lijie Hu
- Decision Biases and Intent-Irony Decoupling in Large Language Models ↗Kewei Guo, Lingyun Sun, Manhao Guan
- Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing ↗Chunyu Ye, Yunhao Zhang, Jingyuan Sun et al.
- Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say “I Don't Know” ↗Dhruv Madhwal, Lyuxin David Zhang, Dan Roth et al.
- Decomposed Trust: Privacy, Adversarial Robustness, Ethics, and Fairness in Low-Rank LLMs ↗Daniel Agyei Asante, Md Mokarram Chowdhury, Yang Li
- Decomposing Unitization and Typing for Efficient and Consistent Span-Bound Concept Annotation ↗Nupoor Gandhi, Michael Bada, Emma Strubell
- Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective ↗Beiduo Chen, Tiancheng Hu, Caiqi Zhang et al.
- DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & Inference ↗Zihan Wang, Hao Wang, Shi Feng et al.
- DeepPlanner: Scaling Planning Capability for Deep Research Agents via Advantage Shaping ↗Wei Fan, Wenlin Yao, Zheng Li et al.
- DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation ↗Hao Zheng, Guozhao Mo, Xinru Yan et al.
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