Findings of the Association for Computational Linguistics 2026: all accepted papers
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- From Scores to Preferences: Redefining Evaluation Paradigm for Speech Quality Reward Modeling ↗Yifei Cao, Changhao Jiang, Jiabao Zhuang et al.
- From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment ↗Ivo Bueno, Babette Bühler, Philipp Stark et al.
- From Script to Stage: Automating Experimental Design for Social Simulations with LLMs ↗Yuwei Guo, Zihan Zhao, Xiaowei Liu et al.
- From Semantics to Style: A Cross-Dataset Comparative Framework for Sentence Similarity Predictions ↗Yusuke Yamauchi, Akiko Aizawa
- From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization ↗Chenxi Zhou, Pengfei Cao, Jiang Li et al.
- From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models ↗Junlong Tong, Zilong Wang, YuJie Ren et al.
- From Style to Story: A Curriculum Learning Approach for Imitative Novel Generation ↗Xueran Han, Yuhan Liu, Mingzhe Li et al.
- From Tasks to Teams: A Risk-First Evaluation Framework for Multi-Agent LLM Systems in Finance ↗Zichen Chen, Jianda Chen, Jiaao Chen et al.
- From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step Reasoning ↗Kiran Purohit, Ramasuri Narayanam, Soumyabrata Pal
- From What Is Said to Why It Is Framed: Intent-Aware News Video Understanding ↗Xiangzheng Kong, Minnan Luo, Wenya Wang et al.
- From “Thinking” to “Justifying”: Aligning High-Stakes Explainability with Professional Communication Standards ↗Chen Qian, Yimeng Wang, Yu Chen et al.
- FrontCoder: Scaling Visual Fidelity in Front-End Code Generation ↗Jun Feng, Jian Yang, Wei Zhang et al.
- Fundamental Reasoning Paradigms Induce Out-of-Domain Generalization in Language Models ↗Mingzi Cao, Xingwei Tan, Mahmud Elahi Akhter et al.
- FuseSearch: Learning Adaptive Parallel Execution for Efficient Code Localization ↗Ke Xu, Siyang Xiao, Ming Liang et al.
- G-HiRel: Enhancing the Adaption to Knowledge Updating for Large Language Model Reasoning ↗Yudai Pan, Jiajie Hong, Tianzhe Zhao et al.
- G-LoRA: Global-Local Decoupled Low-Rank Adaptation ↗Jiahao Xiong, Yihong Huang, Yihe Liu et al.
- GALA: Geometric Data Selection with Strategic Prospecting for Large Language Model Self-training ↗Zhongwei Xie, Ruihao Liao, Zimo Wang et al.
- GCIG: GraphRAG-based Cross-document Instruction Generation for Boosting LLM Reasoning ↗Xiaoliang Xu, Huang Yuan, Junmei Wang et al.
- GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question Answering ↗Guanran Luo, Wentao Qiu, Zhongquan Jian et al.
- GLA: Grounding Large Language Models in Molecular Hierarchy for Chemical Understanding ↗Yingxu Li, Jingjie Zeng, Zekun Wang et al.
- GOAT: A Training Framework for Goal-Oriented Agent with Tools ↗Hyunji Min, Sangwon Jung, Junyoung Sung et al.
- GOBench: Stage-Wise Diagnostics and the Visual Paradox in Multimodal Graph Optimization ↗Yinghao Chen, Wantong Xie, Shuli Zeng et al.
- GR1: Reinforcement-Enhanced LLM for Geoscience Reasoning ↗Yule Xie, Jiaxin Ding, Cheng Deng et al.
- GRAFF: GRaph-Augmented Fine-grained Fusion for Large Language Models ↗Himanshu Chaudhary, Ruida Wang, Gowtham Ramesh et al.
- GRASP: Graph-Reasoning Aided Survey Planning for High-Fidelity Related Work Generation ↗Haoming Li, Jessica Ouyang
- GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning ↗Kaiyuan Tian, Linbo Qiao, Yu Tang et al.
- GRE Score: Generative Risk Evaluation for Large Language Models ↗Zaitang LI, Pin-Yu Chen, Tsung-Yi Ho
- GROLE: Instance-Level Group Relative Optimization for LoRA Experts in Incremental Learning ↗Yongyi Liao, Wencan Lai, Jun Fang et al.
- GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy Inputs ↗Zhengxin Zhang, Chengyu Huang, Xufu Liu et al.
- GUITester: Enabling GUI Agents for Exploratory Defect Discovery ↗Yifei Gao, Jiang Wu, Xiaoyi Chen et al.
- GaLa: Hypergraph-Guided Visual Language Models for Procedural Planning ↗Kun Wang, Li Yiming, Mingcheng Qu et al.
- GanitLLM: Difficulty-Aware Bengali Mathematical Reasoning through Curriculum-GRPO ↗Shubhashis Roy Dipta, Khairul Mahbub, Nadia Najjar
- Gaperon: A Peppered English-French Generative Language Model Suite ↗Nathan Godey, Wissam Antoun, Rian Touchent et al.
- Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About It ↗Seyed Mahed Mousavi, Edoardo Cecchinato, Lucia Horníková et al.
- Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment ↗Yizhuo Zhang, Heng Wang, Shangbin Feng et al.
- Generalizable Prompt Tuning for Audio-Language Models via Semantic Expansion ↗Jaehyuk Jang, Wonjun Lee, Kangwook Ko et al.
- Generalization or Memorization? Multi-Agent vs. Baseline LLMs and AutoML Models for Tabular Classification ↗Aida Sanatizadeh, Sorouralsadat Fatemi, Reza Mousavi et al.
- Generating Effective CoT Traces for Mitigating Causal Hallucination ↗Yiheng Zhao, Jun Yan
- Generative Giants, Retrieval Weaklings: Why do Multimodal Large Language Models Fail at Multimodal Retrieval? ↗Hengyi Feng, Zeang Sheng, Meiyi Qiang et al.
- Generative Text-to-Image Retrieval via Hierarchical Identifiers and Semantic Internalization ↗Jie Huang, Junjie Wang, Xin Liao et al.
- Generative-to-Discriminative Test-Time Adaptation via Manifold-Aware Diffusion and Bayesian Distillation ↗Boyun Zhang, Zequn Xie, Fangming Feng et al.
- Generics are not quantificational: A new path from language models to semantic theory ↗Gustavo Cilleruelo Calderón, Mahrad Almotahari, Emily Allaway et al.
- GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language Models ↗Tianyu Pan, Damon L. Woodard
- GeometryZero: Advancing Geometry Solving via Group Contrastive Policy Optimization ↗Yikun Wang, Yibin Wang, Dianyi Wang et al.
- Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language ↗Peijie Wang, Ming-Liang Zhang, Jun Cao et al.
- GerAV: Towards New Heights in German Authorship Verification using Fine-Tuned LLMs on a New Benchmark ↗Lotta Kiefer, Christoph Leiter, Sotaro Takeshita et al.
- Ghost in the Shell: Synonym-Aware Logit Shaping Fingerprint for Copyright Protection of Large Vision-Language Models ↗Xiaofan Zheng, Xinghao Wang, Xiaojun Wan
- GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization ↗Irina Tolstykh, Aleksandra Tsybina, Sergey Yakubson et al.
- Glance-or-Gaze: Incentivizing LMMs to Adaptively Focus Search via Reinforcement Learning ↗Hongbo Bai, Yujin Zhou, Yile Wu et al.
- GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts ↗Wenhao Zeng, Xuteng Zhang, Yuling Shi et al.
- Global Context or Local Detail? Adaptive Visual Grounding for Hallucination Mitigation ↗Yubo Jiang, Xin Yang, Abudukelimu Wuerkaixi et al.
- GlossaGen: Making Academic Translation Smarter with Glossing ↗Zixiao Wang, Duzhen Zhang, Juntian Zhang et al.
- GoT-R1: Internalizing Graph-of-Thought via Structural Reinforcement for High-Density Reasoning ↗Zuchao Li, Qiwei Li, Yao Yao et al.
- GoViG: Goal-Conditioned Visual Navigation Instruction Generation via Multimodal Reasoning ↗Fengyi Wu, Yifei Dong, Yilong Dai et al.
- Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning ↗Tiehua Mei, Minxuan Lv, Leiyu Pan et al.
- GrandGuard: Taxonomy, Benchmark, and Safeguards for Elderly-Chatbot Interaction Safety ↗Changxuan Fan, Xi Yang, Yueyuan Zheng et al.
- Graph Explorer: Training Faithful KG Agents with Visibility-Grounded Supervision ↗Yifeng Chen, Sicheng Wan, Tianyi Zhang et al.
- Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations ↗Haitong Luo, Fali Wang, Weiyao Zhang et al.
- Graph-Based Chain-of-Thought Pruning for Reducing Redundant Reflections in Reasoning LLMs ↗Hongyuan Yuan, Xinran He, Run Shao et al.
- Graph-GRPO: Stabilizing Multi-Agent Topology Learning via Group Relative Policy Optimization ↗Yueyang Cang, Xiaoteng Zhang, Erlu Zhao et al.
- GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis ↗Shaoting Tan, Ning Liu, Yuntao Du et al.
- GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation ↗Lin Mu, Guoji Wang, Li Ni et al.
- GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-Making ↗Sunguk Shin, Hayeong Lee, Jun Ho Seo et al.
- Grounded Concreteness: Human-Like Concreteness Sensitivity in Vision–Language Models ↗Aryan Roy, Zekun Wang, Christopher J. MacLellan
- Grounding Agent Memory in Contextual Intent ↗Ruozhen Yang, Yucheng Jiang, Yueqi Jiang et al.
- GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs ↗Meixiu Long, Duolin Sun, Dan Yang et al.
- Grouped Adaptive Weight Sharing (GAWS): An Inference-Efficient Adaptation Method for Large Language Models ↗Eman Alsuradi, Junhyun Lee, Kyenghun Lee et al.
- Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs ↗Yue Huang, Haomin Zhuang, Jiayi Ye et al.
- H-MAS: Hierarchical Multi-Agent Scheduling for Multi-Tenant LLM Serving ↗Yuhan Liu, Cong Xu, Qi Jia et al.
- HACHIMI: Scalable and Controllable Student Persona Generation via Orchestrated Agents ↗Yilin Jiang, Fei Tan, Xuanyu Yin et al.
- HAUNTATTACK: When Attack Follows Reasoning as a Shadow ↗Jingyuan Ma, Rui Li, Zheng Li et al.
- HCFD: A Benchmark for Audio Deepfake Detection in Healthcare ↗Mohd Mujtaba Akhtar, Girish, Muskaan Singh
- HCRE: LLM-based Hierarchical Classification for Cross-Document Relation Extraction with a Prediction-then-Verification Strategy ↗Guoqi Ma, Liang Zhang, Hongyao Tu et al.
- HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing ↗Chengyu Du, Xintao Wang, Aili Chen et al.
- HIPO: A Hierarchical Prompt Optimization Framework with Task Awareness and Fine-Grained Debugging ↗Lu Qi, Lei Chai, Hongrui Yu et al.
- HORIZON: A Benchmark for In-the-wild User Behaviour Modeling ↗Arnav Goel, Pranjal A Chitale, Bhawna Paliwal et al.
- HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs ↗Ru Peng, Tianyu Zhao, Xijun Gu et al.
- HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment ↗Guorui Li, Dugang Liu, Lei Li et al.
- HTMuon: Improving Muon via Heavy-Tailed Spectral Correction ↗Tianyu Pang, Yujie Fang, Zihang Liu et al.
- Hail to the Thief: Exploring Attacks and Defenses in Decentralised GRPO ↗Nikolay Blagoev, Oguzhan Ersoy, Lydia Chen
- Half-S: Halving the Scale for Near-Lossless 4-Bit LLM Training ↗Jinyang Du, Ruihao Gong, Linghan Ai et al.
- HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation ↗Loris Bergeron, Ioana Buhnila, Jerome Francois et al.
- Hallucination Detection in Long-Form Text Generated by LLMs: A Benchmark and a Hyper-Relational Knowledge Graph Approach ↗Zituo Li, Guangzhou Chen, Jianbin Sun et al.
- Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual Orthogonalization ↗Mingkuan Zhao, Wentao Hu, Tianchen Huang et al.
- HapticLLaMA: A Multimodal Sensory Language Model for Haptic Captioning ↗Guimin Hu, Daniel Hershcovich, Hasti Seifi
- Hard to Be Heard: Phoneme-Level ASR Analysis of Phonologically Complex, Low-Resource Endangered Languages ↗V.S.D.S.Mahesh Akavarapu, Michael Daniel, Gerhard Jäger
- Hard to Read, Easy to Jailbreak: How Visual Degradation Bypasses MLLM Safety Alignment ↗Zhixue Song, Boyan Han, Yiwei Wang et al.
- Harnessing Consistency for Robust Test-Time LLM Ensemble ↗Zhichen Zeng, Qi Yu, Xiao Lin et al.
- HearSay Benchmark: Do Audio LLMs Leak What They Hear? ↗Jin Wang, Kaiwen Luo, Liang Lin et al.
- Hearing Between the Lines: Unlocking the Reasoning Power of LLMs for Speech Evaluation ↗Arjun Chandra, Kevin Miller, Venkatesh Ravichandran et al.
- Hebbian-Guided Bi-Directional Rank Adaptation for Parameter-Efficient Fine-Tuning ↗Xing Zhao, Liu Yang, Xi-Le Zhao et al.
- Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck? ↗H S V N S Kowndinya Renduchintala, Sumit Bhatia
- HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DST ↗Shuyu Zhang, Yifan Wei, Xinru Wang et al.
- HiGMem: A Hierarchical and LLM-Guided Memory System for Long-Term Conversational Agents ↗Shuqi Cao, Jingyi He, Fei Tan
- HiPrune: Hierarchical Attention for Efficient Token Pruning in Vision-Language Models ↗Jizhihui Liu, Guangdao Zhu, Feiyi Du et al.
- HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution ↗Hanhua Hong, Yizhi LI, Jiaoyan Chen et al.
- HiSA: Hierarchical State Abstraction for Scalable GUI Agents ↗Weiming Li, Hye-young Paik, Yulei Sui
- Hidden States as Early Signals: Step-level Trace Evaluation and Pruning for Efficient Test-Time Scaling ↗Zhixiang Liang, Beichen Huang, Zheng Wang et al.
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