---
title: "Findings of the Association for Computational Linguistics 2026 —"
description: "All 2,517 papers of Findings of the Association for Computational Linguistics 2026 · page 8 of 26, the most cited first; those with our summary…"
canonical: "https://research.elamur.ai/free/en/venues/findings/2026/papers/page/8/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/findings/2026/papers/page/8/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Findings of the Association for…](https://md.research.elamur.ai/free/en/venues/findings/) / [2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) / [papers](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/) / page 8

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

2,517 papers · page 8 of 26 · the most cited first · [← Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

[← prev](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/7/) [1](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/) … [7](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/7/) **8** [9](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/9/) [10](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/10/) … [26](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/26/) [next →](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/9/)

701. **[Can ChatGPT Really Understand Modern Chinese Poetry? ↗](https://aclanthology.org/2026.findings-eacl.216/)**Shanshan Wang, Derek F. Wong, Jingming Yao et al.
702. **[Can Intelligent Agents Revolutionize Scale Generation? ↗](https://aclanthology.org/2026.findings-acl.1674/)**Chenghao Jia, Zhitao Yuan, Zhaokang Zong et al.
703. **[Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction ↗](https://aclanthology.org/2026.findings-acl.1270/)**Ming Li, Han Chen, Yunze Xiao et al.
704. **[Can LLMs Hear the Dogwhistle? ↗](https://aclanthology.org/2026.findings-acl.161/)**Yifan Liu, Yi Lin, Xinwei Guo et al.
705. **[Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from Aggregation ↗](https://aclanthology.org/2026.findings-acl.1473/)**Fuyu Wang, Jiangtong Li, Kun Zhu et al.
706. **[Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical Reasoning ↗](https://aclanthology.org/2026.findings-eacl.127/)**Flavio Merenda, Jose Manuel Gomez-Perez, German Rigau
707. **[Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series? ↗](https://aclanthology.org/2026.findings-acl.1756/)**Zewen Liu, Juntong Ni, Xianfeng Tang et al.
708. **[Can Large Language Models Effectively Support Decision-Making in Sudden Emergencies? ↗](https://aclanthology.org/2026.findings-acl.1820/)**Mengna Zhu, Jibing Wu, Lihua Liu et al.
709. **[Can Large Language Models Infer Human Actions and Motives? Evaluation in Social Prediction and Inspection Games ↗](https://aclanthology.org/2026.findings-acl.1641/)**Kaleen Shrestha, Abhinav Gupta, Harish Dukkipati et al.
710. **[Can MLLMs Reason Beyond Language? VisReason: A Comprehensive Benchmark for Vision-Centric Reasoning ↗](https://aclanthology.org/2026.findings-acl.1996/)**Longteng Guo, Yifan Wang, Pengkang Huo et al.
711. **[Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists ↗](https://aclanthology.org/2026.findings-eacl.308/)**Michał Pietruszka, Łukasz Borchmann, Aleksander Jędrosz et al.
712. **[Can Multi-agent Help Disambiguation in Multi-domain Translation? ↗](https://aclanthology.org/2026.findings-acl.907/)**Zhibo Man, Shaoyang Xu, Yujie Zhang et al.
713. **[Can Post-Training Transform LLMs into Causal Reasoners? ↗](https://aclanthology.org/2026.findings-acl.839/)**Junqi Chen, Sirui Chen, Chaochao Lu
714. **[Can Small LLMs Learn a Robust Theory of Mind via RLVR? Investigating Generalization through the False-Belief Task ↗](https://aclanthology.org/2026.findings-acl.2061/)**Sneheel Sarangi, Hanan Salam
715. **[Can Small Vision–Language Models Perform Sign Language Translation? ↗](https://aclanthology.org/2026.findings-acl.1609/)**Anal Roy Chowdhury, Debarshi Kumar Sanyal
716. **[Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics ↗](https://aclanthology.org/2026.findings-acl.1772/)**Yifu Qiu, Yftah Ziser, Anna Korhonen et al.
717. **[Can We Entrust Justice to AI?: How Persona Traps Contaminate Reasoning in Criminal Investigation ↗](https://aclanthology.org/2026.findings-acl.843/)**Jaewook Lee, Myeong-Cheol Kang, Jong-hun Shin
718. **[Candidate-Aware Retrieval and Reranking for Multiple-Choice Question Answering: Arabic as a Case Study ↗](https://aclanthology.org/2026.findings-acl.435/)**Yassine Bouziane, Youness Moukafih, Mounir Ghogho
719. **[Capabilities and Evaluation Biases of Large Language Models in Classical Chinese Poetry Generation: A Case Study on Tang Poetry ↗](https://aclanthology.org/2026.findings-acl.836/)**Bolei Ma, Yina Yao, Anna-Carolina Haensch
720. **[Cards Against Contamination: TCG-Bench for Difficulty-Scalable Multilingual LLM Reasoning ↗](https://aclanthology.org/2026.findings-eacl.353/)**Sultan AlRashed, Jianghui Wang, Francesco Orabona
721. **[Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus Theory ↗](https://aclanthology.org/2026.findings-acl.1323/)**Krishna Pothugunta, John P. Lalor
722. **[CascadeFix: Multi-Location Program Repair via Cascading Planning and Generation ↗](https://aclanthology.org/2026.findings-acl.1962/)**Huan Zhang, Li Kuang, Yang Yang et al.
723. **[Causal Activation Steering via Sparse Mediation ↗](https://aclanthology.org/2026.findings-eacl.57/)**Toan Doan, Uyen Le, Thin Nguyen
724. **[Causal Direct Preference Optimization for Language Model Alignment ↗](https://aclanthology.org/2026.findings-eacl.58/)**Uyen Le, Thin Nguyen, Toan Nguyen et al.
725. **[Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A ReliefWeb-based Study ↗](https://aclanthology.org/2026.findings-acl.1626/)**Yuanjun Zhang, Mourad Oussalah
726. **[Causal-Audit: Explicit and Auditable Graph-based Reasoning via Target-Aware Causal Chain Construction ↗](https://aclanthology.org/2026.findings-acl.607/)**Su Lan, Xuefei Yin, Yanming Zhu et al.
727. **[CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification ↗](https://aclanthology.org/2026.findings-acl.577/)**Yian Wang, Yuen Chen, Agam Goyal et al.
728. **[CausalGaze: Unveiling Hallucinations via Counterfactual Graph Intervention in Large Language Models ↗](https://aclanthology.org/2026.findings-acl.1943/)**Linggang Kong, Lei Wu, Yunlong Zhang et al.
729. **[CausalityCheck: A Framework for Evaluating Causal Reasoning in Large Language Models ↗](https://aclanthology.org/2026.findings-acl.808/)**Jiang Li, Zehua Duo, Guanglai Gao et al.
730. **[Cause-CSD: A Challenge Multimodal Conversational Stance Cause Detection Dataset and Effective Method ↗](https://aclanthology.org/2026.findings-acl.1925/)**Fuqiang Niu, Bowen Zhang, Junting Zhu et al.
731. **[CentaurTA: A Self-Improving Human-Agents Collaboration Framework for Thematic Analysis ↗](https://aclanthology.org/2026.findings-acl.778/)**Lei Wang, Min Huang, Eduard Dragut
732. **[Chain-in-Tree: Back to Sequential Reasoning in LLM Tree Search ↗](https://aclanthology.org/2026.findings-acl.214/)**Xinzhe Li
733. **[Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA ↗](https://aclanthology.org/2026.findings-acl.850/)**Guanhua Chen, Yutong Yao, Shenghe Sun et al.
734. **[Chain-of-Relations: Faithful and Efficient LLM Reasoning over Knowledge Graphs via Relation-Centric Exploration ↗](https://aclanthology.org/2026.findings-acl.2138/)**Chenhui Liu, Jianpeng Zhou, Jiahai Wang
735. **[Chameleons and Guardians: Unveiling the Divergence in Personality Plasticity and Cognitive Resistance across LLMs ↗](https://aclanthology.org/2026.findings-acl.205/)**Jiaxin Wu, Jie Zhao, Huangxinrong et al.
736. **[ChangJuan: A Comprehensive Benchmark for Book-Length Chinese Story Evaluation ↗](https://aclanthology.org/2026.findings-acl.2044/)**Dingyi Yang, Mingshuo Wang, Qin Jin
737. **[Characterizing Selective Refusal Bias in Large Language Models ↗](https://aclanthology.org/2026.findings-acl.550/)**Adel Khorramrouz, Sharon Levy
738. **[Characterizing Web Search in The Age of Generative AI ↗](https://aclanthology.org/2026.findings-acl.526/)**Elisabeth Kirsten, Jost Große Perdekamp, Qinyuan Wu et al.
739. **[Characterizing the Robustness of Black-Box LLM Planners Under Perturbed Observations with Adaptive Stress Testing ↗](https://aclanthology.org/2026.findings-acl.1966/)**Neeloy Chakraborty, John Pohovey, Melkior Ornik et al.
740. **[CheMM-R1: Enhancing Chemical Structure Recognition and Elucidation with Reasoning Multimodal Large Language Models ↗](https://aclanthology.org/2026.findings-acl.1341/)**Liting Huang, Zhihao Zhang, Shoujin Wang
741. **[ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding ↗](https://aclanthology.org/2026.findings-acl.1206/)**Xuanle Zhao, Xinyuan Cai, Xiang Cheng et al.
742. **[ChildEval:WHEN LARGE LANGUAGE MODELS MEET CHILDREN'S PERSONALITIES ↗](https://aclanthology.org/2026.findings-acl.1070/)**Yanyan Luo, Xue Han, Chunxu Zhao et al.
743. **[ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech Recognition](https://md.research.elamur.ai/free/en/papers/zhou-2026-childtalk-multi-dialect-chinese-child/)**Jiaming Zhou, Yujie Guo, Shiwan Zhao et al.*our summary*
744. **[Chimera: Compositional Jailbreak Attacks on LLMs via Judgment-Driven Search over Heterogeneous Strategies ↗](https://aclanthology.org/2026.findings-acl.1667/)**Leo Hyun Park, Juwon Cho, Gyuhwan Kim et al.
745. **[Chinese Court Simulation with LLM-Based Agents System ↗](https://aclanthology.org/2026.findings-acl.411/)**Kaiyuan Zhang, Jiaqi Li, Yueyue Wu et al.
746. **[Chinese Live-Streaming E-Commerce Morph Resolution: Datasets and Methods ↗](https://aclanthology.org/2026.findings-acl.126/)**Jipeng Qiang, Jiahao Zhu, Yi Zhu et al.
747. **[Choose Your Lens: Multi-Perspective Value Alignment of Chain-of-Thought Reasoning ↗](https://aclanthology.org/2026.findings-acl.2075/)**Gejian Zhao, Hanzhou Wu, Xinpeng Zhang
748. **[Chronos: Learning Temporal Dynamics of Reasoning Chains for Test-Time Scaling ↗](https://aclanthology.org/2026.findings-acl.1376/)**Kai Zhang, Jiayi Liao, Chengpeng Li et al.
749. **[ChunQiuTR: Time-Keyed Temporal Retrieval in Classical Chinese Annals ↗](https://aclanthology.org/2026.findings-acl.612/)**Yihao Wang, Zijian He, Jie Ren et al.
750. **[CircuitSynth: Reliable Synthetic Data Generation ↗](https://aclanthology.org/2026.findings-acl.1770/)**Zehua Cheng, Wei Dai, Jiahao Sun et al.
751. **[ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis ↗](https://aclanthology.org/2026.findings-acl.1067/)**Hao Wang, Jindong Han, Wei Fan et al.
752. **[ClimateCause: Complex and Implicit Causal Structures in Climate Reports ↗](https://aclanthology.org/2026.findings-acl.1272/)**Liesbeth Allein, Nataly Pineda-Castañeda, Andrea Rocci et al.
753. **[ClinAlign: Scaling Healthcare Alignment from Clinician Preference ↗](https://aclanthology.org/2026.findings-acl.825/)**Shiwei Lyu, Xidong Wang, Hao Zhu et al.
754. **[CliniCAST: Benchmarking Acoustic Grounding and Text Dominance in Medical Triage ↗](https://aclanthology.org/2026.findings-acl.2056/)**Kyusik Kim, Hyunwoo Yoo, Jaehoon Choi et al.
755. **[ClinicalMC: A Benchmark for Multi-Course Clinical Decision-Making with Large Language Models ↗](https://aclanthology.org/2026.findings-acl.943/)**Ruihui Hou, Siyi Zhu, Ziyue Huai et al.
756. **[Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models ↗](https://aclanthology.org/2026.findings-acl.1531/)**Qi Cao, Takeshi Kojima, Andrew Gambardella et al.
757. **[CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG Hallucinations ↗](https://aclanthology.org/2026.findings-acl.576/)**JinWei Shi, Qizhuo Xie, Qianzi Hou et al.
758. **[CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging ↗](https://aclanthology.org/2026.findings-acl.811/)**Jie Cao, Zhenxuan Fan, Zhuonan Wang et al.
759. **[CoPA: Benchmarking Personalized Question Answering with Data-Informed Cognitive Factors ↗](https://aclanthology.org/2026.findings-acl.737/)**Hang Su, Zequn Liu, Chen Hu et al.
760. **[CoT-Edit: Reinforcement Learning of Chain-of-Thought Reasoning for Code Edit Suggestion ↗](https://aclanthology.org/2026.findings-acl.1407/)**Wuya Chen, Yihao Yang, Yue Lin
761. **[CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning ↗](https://aclanthology.org/2026.findings-acl.1903/)**Zhuo Wang, Zhuo Zhang, Yafu Li et al.
762. **[CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs ↗](https://aclanthology.org/2026.findings-acl.2077/)**Siyi Li, Jiajun Shi, Shiwen Ni et al.
763. **[CoTrust: Privacy-Preserving Collaboration Between Large and Small Language Models in Trusted Execution Environments ↗](https://aclanthology.org/2026.findings-acl.1078/)**Zhenya Ma, Tingyi Wang, Yongheng Deng et al.
764. **[Coarse-to-Fine Multimodal Information Selection for Video Speaking Style Recognition with Large Language Models ↗](https://aclanthology.org/2026.findings-acl.1466/)**Beibei Zhang, Yanan Lu, Lin Fen et al.
765. **[CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic Modeling ↗](https://aclanthology.org/2026.findings-acl.1753/)**Karthik Singaravadivelan, Anant Gupta, Zekun Wang et al.
766. **[Code over Words: Overcoming Semantic Inertia via Code-Grounded Reasoning ↗](https://aclanthology.org/2026.findings-acl.819/)**Manjie Xu, Isabella Yin, Xinyi Tu et al.
767. **[CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook ↗](https://aclanthology.org/2026.findings-acl.987/)**Zeyu Chen, Jie Li, Kai Han
768. **[CodeContests-O: Powering LLMs via Feedback-Driven Iterative Test Case Generation ↗](https://aclanthology.org/2026.findings-acl.53/)**Jianfeng Cai, Jinhua Zhu, Ruopei Sun et al.
769. **[CodeGuard: Improving LLM Guardrails in CS Education ↗](https://aclanthology.org/2026.findings-eacl.48/)**Nishat Raihan, Noah Erdachew, Jayoti Devi et al.
770. **[CodeMEM: AST-Guided Adaptive Memory for Repository-Level Iterative Code Generation ↗](https://aclanthology.org/2026.findings-acl.834/)**Peiding Wang, Li Zhang, Fang Liu et al.
771. **[CodeRM-NT: Reward Model for Code RL without Unit Tests ↗](https://aclanthology.org/2026.findings-acl.2150/)**Xiao Xia, Dan Zhang, Tianrui Sun
772. **[CodeRise: Bootstrapping LLMs for Ultra Low-Resource Programming Languages via Progressive Self-Refinement Curriculum ↗](https://aclanthology.org/2026.findings-acl.1840/)**Tengfei Wen, Xuanang Chen, Ben He et al.
773. **[CodeScout: Contextual Problem Statement Enhancement for Software Agents ↗](https://aclanthology.org/2026.findings-acl.2032/)**Manan Suri, Xiangci Li, Mehdi Shojaie et al.
774. **[Coding Agents with Multimodal Browsing are Generalist Problem Solvers ↗](https://aclanthology.org/2026.findings-eacl.318/)**Aditya Bharat Soni, Boxuan Li, Xingyao Wang et al.
775. **[CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question Answering ↗](https://aclanthology.org/2026.findings-acl.1068/)**Tong Lu, Zhichun Wang, Yuanhao Sun et al.
776. **[CogEmp:A Cognitive Empathy-Oriented Dialogue System for Structured Psychological Counseling ↗](https://aclanthology.org/2026.findings-acl.1484/)**Yiguo Deng, Xia Lei, Yuan Zhang et al.
777. **[CogGen: A Cognitively Inspired Recursive Framework for Deep Research Report Generation ↗](https://aclanthology.org/2026.findings-acl.296/)**Kuo Tian, Pengfei Sun, Zhen Wu et al.
778. **[CogNet-KG: Empowering Tutoring Dialogues with a Cognitively-Structured Knowledge Graph for STEM Learning ↗](https://aclanthology.org/2026.findings-acl.639/)**Ding Yu, Yu Lu, Tengju Li et al.
779. **[Cogito: A Cognitive Agentic Framework Driven by Dynamic Graph of Thoughts for Financial Report Generation ↗](https://aclanthology.org/2026.findings-acl.430/)**Chen Lifan, Wei Ding, Jingwen Yang et al.
780. **[Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language Models ↗](https://aclanthology.org/2026.findings-acl.1558/)**Lanxue Zhang, Yuqiang Xie, Fang Fang et al.
781. **[Cognitive-Uncertainty Guided Knowledge Distillation for Accurate Classification of Student Misconceptions ↗](https://aclanthology.org/2026.findings-acl.1498/)**Qirui Liu, Hao Chen, Weijie Shi et al.
782. **[CollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code Generation ↗](https://aclanthology.org/2026.findings-acl.1393/)**Duy Tung Doan, Quang Huy Phung, Dzung Nguyen et al.
783. **[Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models ↗](https://aclanthology.org/2026.findings-acl.2049/)**Angelo Zangari, Peyman Baghershahi, Sourav Medya
784. **[ComfyFlow: Benchmarking LLMs for AIGC Workflow Generation ↗](https://aclanthology.org/2026.findings-acl.140/)**Zhenran Xu, Yiyu Wang, Yunxin Li et al.
785. **[ComicVQA: A Benchmark for Visual Reasoning in Multimodal LLMs ↗](https://aclanthology.org/2026.findings-acl.1268/)**Esther Gan, Hannah Brown, David Herel et al.
786. **[Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding ↗](https://aclanthology.org/2026.findings-acl.578/)**Zijie Wang, MohammadHossein Rezaei, Farzana Rashid et al.
787. **[Compact Example-Based Explanations for Language Models ↗](https://aclanthology.org/2026.findings-acl.1214/)**Loris Schoenegger, Benjamin Roth
788. **[Compartmentalised Agentic Reasoning for Clinical NLI ↗](https://aclanthology.org/2026.findings-acl.545/)**Mael Jullien, Andre Freitas, Marco Valentino et al.
789. **[CompassLLM: A Multi-Agent Approach toward Geo-Spatial Reasoning for Popular Path Query ↗](https://aclanthology.org/2026.findings-acl.1599/)**Md. Nazmul Islam Ananto, Shamit Fatin, Mohammed Eunus Ali et al.
790. **[Completely Modular Fine-tuning for Dynamic Language Adaptation ↗](https://aclanthology.org/2026.findings-eacl.252/)**Zhe Cao, Yusuke Oda, Qianying Liu et al.
791. **[Complexity-aware fine-tuning ↗](https://aclanthology.org/2026.findings-eacl.34/)**Andrey Goncharov, Daniil Vyazhev, Petr Sychev et al.
792. **[Compositional Reasoning via Joint Image and Language Decomposition ↗](https://aclanthology.org/2026.findings-eacl.304/)**Dwip Dalal, Madhav Kanda, Zhenhailong Wang et al.
793. **[Comprehensive Benchmarking of Long-Form Speech Generation in Diverse Scenarios ↗](https://aclanthology.org/2026.findings-acl.112/)**Changhao Pan, Rui Yang, Han Wang et al.
794. **[Comprehensive Study of Bilingual and Multi-category Instruction Pre-training ↗](https://aclanthology.org/2026.findings-eacl.68/)**Takashi Kodama, Yusuke Oda
795. **[Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation ↗](https://aclanthology.org/2026.findings-acl.1744/)**Adam Dejl, James Barry, Alessandra Pascale et al.
796. **[Computational Narrative Understanding for Expressive Text-to-Speech ↗](https://aclanthology.org/2026.findings-acl.308/)**Gaspard Michel, Elena V. Epure, Christophe Cerisara
797. **[ConMA : Confidence-Guided Kernel Sampling with Multi-Stage Aggregation for LLM Reasoning ↗](https://aclanthology.org/2026.findings-acl.1475/)**Yinuo Wang, Qingjie Li, Wenyao Cui et al.
798. **[ConRAS: Contrastive In-context Learning Framework for Retrieval-Augmented Summarization ↗](https://aclanthology.org/2026.findings-eacl.255/)**Juseon Do, Sungwoo Han, Jingun Kwon et al.
799. **[ConSensus: Multi-Agent Collaboration for Multimodal Sensing ↗](https://aclanthology.org/2026.findings-acl.1649/)**Hyungjun Yoon, Mohammad Malekzadeh, Sung-Ju Lee et al.
800. **[ConVerse: Benchmarking Contextual Safety in Agent-to-Agent Conversations ↗](https://aclanthology.org/2026.findings-eacl.170/)**Amr Gomaa, Ahmed Salem, Sahar Abdelnabi

[← prev](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/7/) [1](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/) … [7](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/7/) **8** [9](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/9/) [10](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/10/) … [26](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/26/) [next →](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/9/)

- [← back to](https://md.research.elamur.ai/free/en/venues/findings/2026/) — Findings of the Association for Computational Linguistics 2026