Findings of the Association for Computational Linguistics 2026: all accepted papers
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- KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge ↗Alex Robertson, Huizhi Liang, Mahbub Gani et al.
- Know Thy Enemy: Securing LLMs Against Prompt Injection via Diverse Data Synthesis and Instruction-Level Chain-of-Thought Learning ↗Zhiyuan Chang, Mingyang Li, Yuekai Huang et al.
- KnowDR-REC: Auditing Knowledge-Conditioned Visual Grounding in Referring Expression Comprehension ↗Guanghao Jin, Jingpei Wu, Tianpei Guo et al.
- Knowing What's Missing: Assessing Information Sufficiency in Question Answering ↗Akriti Jain, Aparna Garimella
- Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning ↗Xinyan Guan, Jiali Zeng, Chunlei Xin et al.
- Knowledge-Infused Multi-Bit Watermarking for RAG Knowledge Bases ↗Ke Yang, Shuguang Yuan, Jing Yu et al.
- KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language Models ↗Xiao Zhang, Qianru Meng, Yongjian Chen et al.
- LAD: Learning Advantage Distribution for Reasoning ↗Wendi Li, Sharon Li
- LANTERN in the Event Stream: Training-Free Temporal Knowledge Graph Forecasting by Balancing Inertia and Shifts ↗Chengyuan Jin, Ao Chang, Daojian Zeng et al.
- LARA: LLM-based Agile Power Distribution Network Restoration from Disastrous Events ↗Jishnu Warrier, Heqing Huang, Yuzhang Lin et al.
- LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world Tasks ↗Jiayong Wan, Jiawei Chen, Zhaoxia Yin et al.
- LDEDE: LRP-Driven Efficient Detection and Editing Framework for LLM Privacy Neurons ↗Zhao Zhengyuan, Cao Lifeng, Sunhaodong et al.
- LEAF: Towards Lightweight Explainable Hateful Video Detection via Self-Grounding CoT Guided Stage-Wise Distillation ↗Jian Lang, Rongpei Hong, Meihui Zhong et al.
- LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph Retrieval ↗Hang Wang, Utkarsh Garg, Reza Davari et al.
- LEPO: Latent Reasoning Policy Optimization for Large Language Models ↗Yuyan Zhou, Jiarui Yu, Hande Dong et al.
- LIBERTy: A Causal Framework for Benchmarking Concept-Based Explanations of LLMs with Structural Counterfactuals ↗Gilat Toker, Nitay Calderon, Ohad Amosy et al.
- LLEOT: A Privacy-Enhancing Offsite Tuning Framework via Loss Landscape Elevation ↗Jin Zhong, Jinglin Liang, Tongtong Yang et al.
- LLM Multi-Agent Systems for Long Triple Set Data-to-Text Generation ↗Chinonso Cynthia Osuji, Simon Mille, Mark Andrade et al.
- LLM Program Optimization via Retrieval Augmented Search ↗Sagnik Anupam, Alexander Shypula, Osbert Bastani
- LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization ↗Yuanchen Wu, Saurabh Verma, Justin Lee et al.
- LLM-Codec: Neural Audio Codec Meets Language Model Objectives ↗Ho-Lam Chung, Yiming Chen, Hung-yi Lee
- LLM-Driven Multi-Perspective Location Completion for Next Location Prediction ↗Pengxiang Lan, Enneng Yang, Yuliang Liang et al.
- LLM-FK: Multi-Agent LLM Reasoning for Foreign Key Detection in Large-Scale Complex Databases ↗Zijian Tang, Ying Zhang, Sibo Cai et al.
- LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines ↗Jiechao Gao, Rohan Kumar Yadav, Yuangang Li et al.
- LLM-induced Rationales for More Compact Explainable Style Classification Models ↗Ahmad Aljanaideh, Saeb Ganideh
- LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing ↗Hao Li, Yiqun Zhang, Zhaoyan Guo et al.
- LLMs Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions ↗Xuhao Hu, Wang Peng, Xiaoya Lu et al.
- LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast Retrieval ↗Zhibo Zhang, Yang Xu, Kai Ming Ting et al.
- LLMs are Brittle to Simple Code Transformations: Introducing CETBench – A Benchmark for Code-Equivalence Checking ↗Neeva Oza, Ishaan Govil, Parul Gupta et al.
- LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning ↗Adam Ishay, Joohyung Lee
- LLMs as Lab Engineers: A Benchmark for Analytical Method Lifecycle Management ↗Xiaoyi Chen, Mahsa Monshizadeh, Chaoqi Zhang et al.
- LLMs in the Real World: Evaluating “AI” in Emergency Contexts ↗Sara Court, Lara Downing, Micha Elsner
- LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics ↗Yueyang Ding, HaoPeng Zhang, Rui Dai et al.
- LR-DWM: Efficient Watermarking for Diffusion Language Models ↗Ofek Raban, Gal Chechik, Ethan Fetaya
- LRBench and Judge-R1: Principled Evaluation and Training of LLM-Based Judges for Long-Context Reasoning ↗Xinyi Zhao, Haoqi Hu, Ziyu Wang et al.
- LS-Guard: Adaptive Safety Guardrails Tailored to Individual LLMs ↗Jinggui Liang, Lizi Liao
- LSEG: A Fine-tuning Free Method for NL2FOL via Logic-Structure and Entropy Guided Inference Controlling ↗Yuwei Huang, Shi Wang, Kangli Zi et al.
- LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents ↗Amin Rakhsha, Thomas Hehn, Pietro Mazzaglia et al.
- LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples ↗Yezi Liu, Hanning Chen, Wenjun Huang et al.
- LaMPE: Length-aware Multi-grained Positional Encoding for Adaptive Long-context Scaling Without Training ↗Sikui Zhang, Guangze Gao, Ziyun Gan et al.
- Label Words as Local Task Vectors in In-Context Learning ↗Bowen Zheng, Ming Ma, Zhongqiao Lin et al.
- Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains ↗Yuqi Xiong, Chunyi Peng, Zhipeng Xu et al.
- Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation ↗Rui Qi, Fengran Mo, Yufeng Chen et al.
- Large Language Models Are Overconfident in Their Own Responses ↗Mario Sanz-Guerrero, Manuel Mager, Katharina von der Wense
- Large Language Models Are Still Misled by Simple Bias Ensembles ↗Zhouhao Sun, Zhiyuan Kan, Xiao Ding et al.
- Large Language Models Require Curated Context for Reliable Political Fact-Checking–-Even with Reasoning and Web Search ↗Matthew R. DeVerna, Kai-Cheng Yang, Harry Yaojun Yan et al.
- Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners ↗Yihong Liu, Raoyuan Zhao, Hinrich Schuetze et al.
- Large-Scale Diverse Synthesis for Mid-Training ↗Xuemiao Zhang, Chengying Tu, Can Ren et al.
- Large-Scale Multimodal Knowledge Graph about Classical Chinese Poetry: Fine-grained Method and Comprehensive Evaluation ↗Shuo Wang, Qing Zhu, Yang Xiao et al.
- LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL Queries ↗Xuancheng Ren, Shijing Hu, Zhihui Lu et al.
- Law in Silico: Simulating Legal Society with LLM-Based Agents ↗Yiding Wang, Yuxuan Chen, Fanxu Meng et al.
- Layer-aware Dual-directional Modulation for Low-resource Machine Translation ↗Siqi Zhang, Ran Song, Shuting Jiang et al.
- LayerNorm Induces Recency Bias in Transformer Decoders ↗Junu Kim, Xiao Liu, Zhenghao Lin et al.
- LeakDojo: Decoding the Leakage Threats of RAG Systems ↗Maosen Zhang, Jianshuo Dong, Lu Boting et al.
- Learning Continuous Temporal Dynamics on Symplectic Manifolds for Temporal Knowledge Graph Embedding ↗Jiang Li, Zehua Duo, Tian Lan et al.
- Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness ↗Zihan Liang, Ziwen Pan, Ruoxuan Xiong
- Learning Flexible Large Multimodal Models with Arbitrary Modality Combinations ↗Xinyu Zhao, Kangqi Ni, Jie Peng et al.
- Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory ↗Sirui Liang, Pengfei Cao, Jian Zhao et al.
- Learning Optimal Message Representations for Agentic Communication ↗Shashwat Gupta, Anson Bastos, Mayukh Das et al.
- Learning Temporally-Aware Sample Weights for Preference Optimization ↗Mengyang Li, Xudong Zhou, Pinlong Zhao
- Learning from Child-directed Speech in Two-language Scenarios: A French-English Case-Study ↗Liel Binyamin, Elior Sulem
- Learning from Contrastive Prompts: An Automated Prompt Optimization Framework ↗Mingqi Li, Karan Aggarwal, Yong Xie et al.
- Learning from Failures: Error Notebook-guided Secure Code Generation ↗Xinyu Zhong, Peng Lan, Zhifang Liao
- Learning on Imbalanced Noisy Data via Debiased Sample Selection and LLM-Driven Annotation ↗Bo Yuan, Yulin Chen, Yin Zhang
- Learning to Ask: Multi-Decoder Fine-Tuning for Multi-Hop Visual Question Generation with External Knowledge ↗Arpan Phukan, Manish Gupta, Asif Ekbal
- Learning to Control Summaries with Score Ranking ↗Hongye Liu, Liang Ding, Ricardo Henao
- Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization ↗Shan He, Runze Wang, Zhuoyun Du et al.
- Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation ↗Xinping Zhao, Shouzheng Huang, Yan Zhong et al.
- Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs ↗Qibin Wang, Pu Zhao, Shaohan Huang et al.
- Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction ↗Sejun Park, Yoonah Park, Jongwon Lim et al.
- Learning to Translate by Translating: Stabilizing the Dual Loop via Semantic-Aware Self-Evolution ↗Kui Liu, Mingming Yin, Zuoli Tang et al.
- Lending Eyesight to Language Models: Modeling and Probing Human scanpath through Transformer Decoder ↗Junlin Li, David Robert Reich, Yu-Yin Hsu
- Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification ↗Yiju Guo, Tianyi Hu, Zexu Sun et al.
- Less is More: Knowledge-Aware Compression for Long Legal Judgment Prediction ↗Fanghao Lou, Qiqi Wang, Guanyu Chen et al.
- Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense Retrieval ↗Ruiran Yan, Wen Xiong, Ze Liu et al.
- Let the Comments Speak: A Multi-Agent Framework based on Large Language Model for Comment-Guided Code Refactoring ↗Zixuan Wang, Wutong Yu, Deyu Zhou
- Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language Models ↗Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida et al.
- Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource LanguagesNoam Dahan, Omer Kidron, Gabriel Stanovskyour summary
- Leveraging Human and Machine Preferences for Zero-shot Detection of AI-Generated Text ↗Lei Jiang, Desheng Wu, Xiaolong Zheng et al.
- Leveraging Label Semantics and Entity Description Generation for LLM-based Fine-grained Entity Typing ↗Yingying Ma, Hongliang Dai, Xia Zhang et al.
- Leveraging Pretrained Language Models as Energy Functions for Glauber Dynamics Text Diffusion ↗Tarun Kathuria, Sachin Kumar
- LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence ↗Wenjin Liu, Haoran Luo, Xin Feng et al.
- LifeSim: Long-Horizon User Life Simulator for Personalized Assistant Evaluation ↗Feiyu Duan, Xuanjing Huang, Zhongyu Wei
- LightMoE: Task-Aware Expert Availability Management for Memory-Efficient MoE-LLM Inference ↗Puhan Luo, Yunhao Yao, Junyang Wang et al.
- Lightweight Haar Wavelet Subband Pruning for LLMs ↗Jiang Li, Pengfei Cao, Chenxi Zhou et al.
- Like a Therapist, But Not: Reddit Narratives of AI in Mental Health Contexts ↗Elham Aghakhani, Rezvaneh Rezapour
- Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage ↗Junhao Hu, Fangze Li, Mingtao Xu et al.
- Linear Script Representations in Speech Foundation Models Enable Zero-Shot Transliteration ↗Ryan Soh-Eun Shim, Kwanghee Choi, Kalvin Chang et al.
- Linear Semantic Segmentation for Low-Resource Spoken Dialects ↗Kirill Chirkunov, Younes Samih, Abed Alhakim Freihat et al.
- LinguaGame: A Linguistically Grounded Game-Theoretic Paradigm for Multi-Agent Dialogue Generation ↗Yuxiao Ye, Yiming Zhang, Yiran Rex Ma et al.
- Linguistic Cues for LLM-based Implicit Discourse Relation Classification ↗Yi Fan, Michael Strube, Wei Liu
- Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation ↗Liwen Sun, Xiang Yu, Ming Tan et al.
- LipoAgent: Coordinating Fine-Tuned LLM Agents for Safer Lipid Design ↗Leshu Li, An Lu, Haiyu Wang et al.
- Live-Aid: A Large-Scale Dialogue Dataset and Benchmark for Interleaved Multi-party Interactions in Live Streaming ↗Yiming Lei, Yize Fan, Zeming Liu et al.
- LiveCANNBench: Benchmark SWE AI Coding for Ascend CANN ↗Sijie Wang, Kai Zhao, Wee Peng Tay et al.
- LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams ↗Yongxuan Wu, Runyu Chen, Peiyu Liu et al.
- LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment ↗Chenji Lu, Zhuo Chen, Hui Zhao et al.
- LoReFact: Bridging the Logic Gap in Fact-Checking ↗Qiming Xie, Wenjie Zheng, Xiangqing Shen et al.
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