Findings of the Association for Computational Linguistics 2026: all accepted papers
← prev 1 … 5 6 7 … 10 … 26 next →
- Apeiron: A Scalable LLM-agentic Framework for Autonomous Full-lifecycle Demand-optimized Application Synthesis ↗Junyan Cheng, Ankit Srivastava, Jessie Zeng et al.
- Applicability Condition Extraction for Therapeutic Drug-Disease Relations ↗Guanting Luo, Noriki Nishida, Yuji Matsumoto et al.
- Arab Voices: Mapping Standard and Dialectal Arabic Speech Technology ↗Peter Sullivan, AbdelRahim A. Elmadany, Alcides Alcoba Inciarte et al.
- Are Large Language Models Reliable Reviewers? A Benchmark for Error Detection in Financial Documents ↗Ying He, Zhouhong Gu, Zhecheng Hu et al.
- Are Multimodal LLMs Movie Buffs? ↗Carlo Bretti, Pascal Mettes, Nanne Van Noord
- Argument Component Segmentation with Fine-Tuned Large Language Models ↗Ettore Caputo, Sergio Greco, Lucio La Cava
- ArkRepoBench: A Repository-Level Code Completion Benchmark for HarmonyOS Development ↗Yanlin Wang, Bowen Zhang, Yanli Wang et al.
- ArrowGEV: Grounding Events in Video via Learning the Arrow of Time ↗Fangxu Yu, Ziyao Lu, Liqiang Niu et al.
- Article and Comment Frames Shape the Quality of Online Comments ↗Matteo Guida, Yulia Otmakhova, Eduard Hovy et al.
- AscendKernelGen: LLM-Driven Kernel Generation for NPUs ↗Xinzi Cao, Jianyang Zhai, Pengfei Li et al.
- Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin Tone ↗Shaivi Malik, Hasnat Md Abdullah, Sriparna Saha et al.
- Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table TranslationSeok Hwan Song, Azher Ahmed Efat, Wallapak Tavanapongour summary
- Assessing the Effect of Context in Multi-domain Acceptability Judgment ↗Eunike Andriani Kardinata, Yusuke Sakai, Taro Watanabe
- Astra: Activation-Space Tail-Eigenvector Low-Rank Adaptation of Large Language Models ↗Kainan Liu, Yong Zhang, Ning Cheng et al.
- Asymmetric Relational-Geometry Driven Universal Adversarial Perturbations for Vision-Language Models ↗Jiaxin Ye, Weihai Li, Ying Wang et al.
- At Your Own PACE: A Causal Framework for Evaluating EQ in LLMs ↗Lei Lyu, Shengling Wang, Ke Chao et al.
- Attention Sinks in Diffusion Language Models ↗Maximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon et al.
- Attention to Non-Adopters ↗Kaitlyn Zhou, Kristina Gligorić, Myra Cheng et al.
- Attribute-Controlled Translation with Preference Optimization ↗Inigo Jauregi Unanue, Najmeh Sadoughi, Vimal Bhat et al.
- Attribution-Based Analysis and Optimization of Modular Agentic Workflows ↗Yingxuan Yang, Bo Huang, Siyuan Qi et al.
- AudioPrivacy: Parallel Audio Dataset for Speaker Profiling with Diverse Audio Types and Rich Attributes ↗Jiabei He, Yanzhe Zhang, Jiaming Zhou et al.
- AudioStealer: Extracting Audio Prompts via Shapley Value-Guided Query Search ↗Yingbin Jin, Xingjian Du, Hanjun Luo et al.
- Audit Me If You Can: Query-Efficient Active Fairness Auditing of Black-Box LLMs ↗David Hartmann, Lena Pohlmann, Lelia Hanslik et al.
- Auditing LLM Responses to Harmful Stereotypes Targeting Mental Health Groups ↗Arka Dutta, Rijul Magu, Sean Kim et al.
- Auto-Stega: An Agent-Driven System for Lifelong Strategy Evolution in LLM-Based Text Steganography ↗Jiuan Zhou, Yu Cheng, Yuan Xie et al.
- AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection ↗Suhee Yoon, Sanghyu Yoon, Ye Seul Sim et al.
- AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models ↗Feng Luo, Yu-Neng Chuang, Guanchu Wang et al.
- AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior Monitor ↗Shu Yang, Jingyu Hu, Tong Li et al.
- AutoPKG: An Automated Framework for Dynamic E-commerce Product-Attribute Knowledge Graph Construction ↗Pollawat Hongwimol, Haoning Shang, Chutong Wang et al.
- AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning ↗Mengzhao Jia, Zhihan Zhang, Ignacio Cases et al.
- AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM Coding ↗Samuel Osebe, Fan Yang, Junyi Li et al.
- AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement Learning ↗Jingbo Sun, Wenyue Chong, Songjun Tu et al.
- AutoUE: Automated Generation of 3D Games in Unreal Engine via Multi-Agent Systems ↗Lei Yin, Wentao Cheng, Zhida Qin et al.
- Automated Profile Inference with Language Model Agents ↗Yuntao Du, Zitao Li, Bolin Ding et al.
- Automatic Paper Analysis and Categorisation for Systematic Reviews with Combined Reasoning-Augmented SFT and DAPO RL ↗Michela Lorandi, Anya Belz, Simon Mille et al.
- Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions ↗Kun Zhou, Jiakai He, Wenmian Yang et al.
- B-APO: Bias-Targeted Adversarial Preference Optimization for Debiasing Multimodal Large Language Models ↗Pinlong Zhao, Zike Ding, Zengshu Ye et al.
- BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search ↗Shiyu Liu, Yongjing Yin, Jianhao Yan et al.
- BCL: Bayesian In-Context Learning Framework for Information Extraction ↗Haoliang Liu, Chengkun Cai, Xu Zhao et al.
- BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories ↗Yuxuan Ouyang, Yingfeng Luo, JingBo Zhu et al.
- BMAM: Brain-inspired Multi-Agent Memory Framework ↗Yang Li, Jiaxiang Liu, Yusong Wang et al.
- BNLP: A Text Annotation Platform for Quality Control of LLM-Generated Annotations ↗Xinhao Zhuang, Qiongyu Tian, Yalin Chen et al.
- BOOKAGENT: Orchestrating Safety-Aware Visual Narratives via Multi-Agent Cognitive Calibration ↗Bo Gao, Chang Liu, Yuyang Miao et al.
- BRIEF-Pro: Universal Context Compression with Short-to-Long Synthesis for Fast and Accurate Multi-Hop Reasoning ↗Jia-Chen Gu, Junyi Zhang, Di Wu et al.
- BSCodec: A Band-Split Neural Codec for High-Quality Universal Audio Reconstruction ↗Haoran Wang, Jiatong Shi, Jinchuan Tian et al.
- BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards ↗Yupeng Chang, Yuan Wu, Yi Chang
- BalanceSFT: Improving LLM Function Calling with Balanced Training Signals and Data Hardness ↗Bingguang Hao, Zengzhuang Xu, Maolin Wang et al.
- Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning ↗Duygu Nur Yaldiz, Evangelia Spiliopoulou, Zheng Qi et al.
- Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic Hierarchies ↗Changhai Zhou, Shiyang Zhang, Yuhua Zhou et al.
- Balancing Knowledge Breadth and Task Depth for Effective Domain Adaptation Fine-Tuning ↗Mu Zhang, Yuxiang Chu, Guangya Yu et al.
- BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation ↗Bo Yuan, Yun Zhou, Zhichao Xu et al.
- Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval ↗Junyoung Kim, Anton Korikov, Jiazhou Liang et al.
- Bears, all bears, and some bears. Language Constraints on Language Models' Inductive Inferences ↗Sriram Padmanabhan, Siyuan Song, Kanishka Misra
- Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks ↗Junehyoung Kwon, MiHyeon Kim, Eunju Lee et al.
- Being Kind Isn't Always Being Safe: Diagnosing Affective Hallucination in LLMs ↗Sewon Kim, Jiwon Kim, SeungWoo Shin et al.
- Belief in Authority: Impact of Authority in Multi-Agent Evaluation Framework ↗Junhyuk Choi, Jeongyoun Kwon, Heeju Kim et al.
- Benchmarking Agentic Newswriting via Journalistic Workflows ↗Yen-Che Chien, Kuang-Da Wang, Wei-Yao Wang et al.
- Benchmarking Direct Preference Optimization for Medical Large Vision–Language Models ↗Dain Kim, Jiwoo Lee, Jaehoon Yun et al.
- Benchmarking the Fine-Grained Discriminability in Image-Text Retrieval via Controlled Contrastive Differences ↗Zhen Wang, Xi Zhou, Yating Yang et al.
- Beneficial Reasoning Behaviors in Agentic Search and Effective Training Methods to Obtain Them ↗Jiahe Jin, Abhijay Sai Paladugu, Chenyan Xiong
- Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning ↗Sara Rajaee, Rochelle Choenni, Ekaterina Shutova et al.
- Better LLM Reasoning via Dual-Play ↗Zhengxin Zhang, Chengyu Huang, Aochong Oliver Li et al.
- Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size ↗Dikshant Kukreja, Kshitij Sah, Gautam Gupta et al.
- Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification ↗Branislav Pecher, Jan Cegin, Robert Belanec et al.
- Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models ↗Shuhao Zhang, Yuli Chen, Jiale Han et al.
- Beyond Accuracy: Alignment and Error Detection across Languages in the Bi-GSM8K Math-Teaching Benchmark ↗Jieun Park, KyungTae Lim, Joon-ho Lim
- Beyond Benchmarks: A Capability-Based Maturity Model for Systematic AI Integration in Hospitals ↗Rui Li, Xiaofen WU, Mingqian Liu et al.
- Beyond Black-Box Interventions: Latent Probing for Faithful Retrieval-Augmented Generation ↗Linfeng Gao, Qinggang Zhang, Baolong Bi et al.
- Beyond Black-Box Labels: Interpretable Criteria for Diagnosing Subjective NLP Tasks ↗Nisrine Rair, Alban Goupil, Valeriu Vrabie et al.
- Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models ↗Thanh Vinh Nguyen, Ngo Van Dong, Minh Chu Xuan et al.
- Beyond Compromise: Pareto-Lenient Consensus for Efficient Multi-Preference LLM Alignment ↗Renxuan Tan, Rongpeng Li, Zhifeng Zhao et al.
- Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models ↗Hanqi Yan, Xiangxiang Cui, Lu Yin et al.
- Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents ↗Miao Su, Yucan Guo, Zhongni Hou et al.
- Beyond Divergent Creativity: A Human-Based Evaluation of Creativity in Large Language Models ↗Kumiko Nakajima, Jan Zuiderveld, Sandro Pezzelle
- Beyond Evidence: Belief-Chain Conditioning for Persuasive Misinformation Debunking Explanation ↗Yi-Li Hsu, Li-Wun Chang, Chun-Yu Hsu et al.
- Beyond Facts- Benchmarking Distributional Reading Comprehension in Large Language Models ↗Pei-Fu Guo, Ya An Tsai, Chun-Chia Hsu et al.
- Beyond High-Entropy Exploration: Correctness-Aware Low-Entropy Segment-Based Advantage Shaping for Reasoning LLMs ↗Xinzhu Chen, Xuesheng Li, Zhongxiang Sun et al.
- Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models ↗Qiyuan Zhang, Yufei Wang, Tianhe Wu et al.
- Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge Acquisition ↗Rujing Yao, Yufei Shi, Yang Wu et al.
- Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs ↗Tristan Williams, Franziska Weeber, Sebastian Padó et al.
- Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling ↗Ivan Rodkin, Daniil Orel, Konstantin Smirnov et al.
- Beyond Memorization: Testing LLM Reasoning on Unseen Theory of Computation Tasks ↗Shlok Shelat, Jay Raval, Souvik Roy et al.
- Beyond Modality Collapse: Taming Guided Modality Entropy for Omni-modal Emotion Reasoning ↗Xian Zhao, Rui Hu, Yuxiang Zhang et al.
- Beyond Monolithic Rewards: Hybrid Multi-Aspect Reward Optimization ↗Radha Gulhane, Sathish Reddy Indurthi
- Beyond Multiple Choice: Evaluating Steering Vectors for Summarization ↗Joschka Braun, Carsten Eickhoff, Seyed Ali Bahrainian
- Beyond Neural Incompatibility: Cross-Scale Knowledge Transfer in Large Language Models through Latent Semantic Alignment ↗Jian Gu, Aldeida Aleti, Chunyang Chen et al.
- Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning ↗Massimiliano Pronesti, Anya Belz, Yufang Hou
- Beyond Output Confidence: Epistemic-Aware Hallucination Detection with Answer-Level Signals ↗Jieran Li, Xiuyuan Hu, Yang Zhao et al.
- Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue Summarization ↗Xiaoyong Mei, Tingting Zuo, Da Chen et al.
- Beyond Polarity: Continuous Affect-Enhanced Multimodal Aspect-Based Sentiment Classification ↗Ling-Ang Meng, Tianyu Zhao, Dawei Song et al.
- Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality ↗Qipeng Xie, Zi Liang, Jiafei Wu et al.
- Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering ↗Weikang Zhang, Zimo Zhu, Zhichuan Yang et al.
- Beyond Quantity: Trajectory Diversity Scaling for Code Agents ↗Guhong Chen, Chenghao Sun, Cheng Fu et al.
- Beyond Query Bias: Candidate-Aware Iterative Refinement for Zero-Shot Composed Image Retrieval ↗Nan Sun, Jing Tang, Lei Sun et al.
- Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models ↗Hoang Phan, Xianjun Yang, Yuanshun Yao et al.
- Beyond Rejection Sampling: Trajectory Fusion for Scaling Mathematical Reasoning ↗Jie Deng, Hanshuang Tong, Jun Li et al.
- Beyond Reproduction: A Paired-Task Framework for Assessing LLM Comprehension and Creativity in Literary Translation ↗Ran Zhang, Steffen Eger, Arda Tezcan et al.
- Beyond Sampling: Self-Sorting for Long-Context Ranking ↗Juseon Do, Sungwoo Han, Jingun Kwon et al.
- Beyond Screenshots: Evaluating VLMs' Understanding of UI Animations ↗Chen Liang, Xirui Jiang, Naihao Deng et al.
- Beyond Semantic Similarity: Appraisal-Guided Chain-of-Thought Reasoning and Retrieval for Multimodal Emotional Support Conversations ↗Yuqi Chu, Lizi Liao, Jinggui Liang et al.
← prev 1 … 5 6 7 … 10 … 26 next →
This page in Markdown → https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/6/