---
title: "Papers of 2026 — page 27 — 5,636 papers, the most cited first"
description: "Papers of 2026: 5,636 papers of the Elamur Research library — what each work is about in our own words, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/papers/2026/page/27/"
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# Papers of 2026 — page 27

5,636 papers · [papers of all years](https://md.research.elamur.ai/free/en/papers/)

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**[CLARIESG: An End-to-End System for ESG Analysis over Complex Tables in Corporate Reports](https://md.research.elamur.ai/free/en/papers/santacroce-2026-clariesg-end-end-system-esg/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Marta Santacroce, Michele Luca Contalbo, Sara Pederzoli, et al.*2026*

**[Clarifying the Role of Psychological Factors in Language Acquisition: A Psycholinguistic Lexical Ratings Dataset](https://md.research.elamur.ai/free/en/papers/zheng-2026-clarifying-role-psychological-factors-language/) [Computational Affective Science (CAS) @ LREC](https://md.research.elamur.ai/free/en/venues/cas/)**Wanwan Zheng*2026*

**[CLARIN-PT-LDB: An Open LLM Leaderboard for Portuguese to assess Language, Culture and Civility](https://md.research.elamur.ai/free/en/papers/silva-2026-clarin-pt-ldb-open-llm/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**João Ricardo Silva, Luís Gomes, António Branco*2026*

**[CLARITY: A Framework and Benchmark for Conversational Language Ambiguity and Unanswerability in Interactive NL2SQL Systems](https://md.research.elamur.ai/free/en/papers/sarwar-2026-clarity-framework-benchmark-conversational-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tabinda Sarwar, Farhad Moghimifar, Cong Duy Vu Hoang, et al.*2026*

**[CLARO: Controlled Attribute-Driven Reasoning Optimization for Efficient Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/schlesinger-2026-claro-controlled-attribute-driven-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Oded Schlesinger, Young Kyung Kim, J. Matias Di Martino, et al.*2026*

**[ClarVis: A Dataset of Clarification Requests and Grounding in Collaborative Data Visualization Dialogues](https://md.research.elamur.ai/free/en/papers/bhattacharya-2026-clarvis-dataset-clarification-requests-grounding/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Abari Bhattacharya, Barbara Di Eugenio*2026*

- [Classifying Interpretive Canons at the Sentence Level: A Benchmark from the German Federal Constitutional Court arXiv:2609.26945](https://md.research.elamur.ai/free/en/papers/ringe-2026-classifying-interpretive-canons-sentence-level/) — Felix Ringe · 2026

**[ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-climagent-llm-as-agents-autonomous/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Wang, Jindong Han, Wei Fan, et al.*2026*

**[ClimateChat-300K: A Multi-Modal Facebook Dataset for Understanding Diverse Perspectives in Climate Communication](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-climatechat-300k-multi-modal-facebook/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Wajdi Zaghouani, Md. Rafiul Biswas, Mabrouka Bessghaier, et al.*2026*

**[ClinAlign: Scaling Healthcare Alignment from Clinician Preference](https://md.research.elamur.ai/free/en/papers/lyu-2026-clinalign-scaling-healthcare-alignment-clinician/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shiwei Lyu, Xidong Wang, Hao Zhu, et al.*2026*

**[ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/nkhata-2026-clusterrag-cluster-based-collaborative-filtering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gibson Nkhata, Uttamasha Anjally Oyshi, Quan Mai, et al.*2026*

**[CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysis](https://md.research.elamur.ai/free/en/papers/xu-2026-cnsocialdepress-chinese-social-media-dataset/) [Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments in cooperation with the MENTAL.ai consortium](https://md.research.elamur.ai/free/en/venues/rapid/)**Jinyuan Xu, Tian Lan, Xintao Yu, et al.*2026*

**[COACH Meets QUORUM: A Framework and Pipeline for Aligning User, Expert, and Developer Perspectives in LLM-Generated Health Counselling](https://md.research.elamur.ai/free/en/papers/ng-2026-coach-meets-quorum-framework-pipeline/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Yee Man Ng, Bram van Dijk, Pieter Beynen, et al.*2026*

**[Coarse-to-Fine Multimodal Information Selection for Video Speaking Style Recognition with Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-coarse-fine-multimodal-information-selection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Beibei Zhang, Yanan Lu, Lin Fen, et al.*2026*

- [CoBra: A Compound Branching Resource for Nominal Triconstituent Compounds in English and German](https://md.research.elamur.ai/free/en/papers/schacht-2026-cobra-compound-branching-resource-nominal/) — Carmen Schacht, Isabell Landwehr, Diana Davidson, et al. · English

**[CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic Modeling](https://md.research.elamur.ai/free/en/papers/singaravadivelan-2026-cobwebtm-probabilistic-concept-formation-lifelong/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Karthik Singaravadivelan, Anant Gupta, Zekun Wang, et al.*2026*

**[CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG Hallucinations](https://md.research.elamur.ai/free/en/papers/shi-2026-coda-restoring-contextual-dominance-copy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**JinWei Shi, Qizhuo Xie, Qianzi Hou, et al.*2026*

**[Code over Words: Overcoming Semantic Inertia via Code-Grounded Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-code-over-words-overcoming-semantic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Manjie Xu, Isabella Yin, Xinyi Tu, et al.*2026*

**[code-transformed: The Influence of Large Language Models on Code](https://md.research.elamur.ai/free/en/papers/xu-2026-code-transformed-influence-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuliang Xu, Siming Huang, Mingmeng Geng, et al.*2026*

- [CodecMOS-Accent: A MOS Benchmark of Resynthesized and TTS Speech from Neural Codecs Across English Accents arXiv:2603.14328](https://md.research.elamur.ai/free/en/papers/huang-2026-codecmos-accent-mos-benchmark-resynthesized/) — Wen-Chin Huang, Nicholas Sanders, Erica Cooper · 2026

**[CodeGuard: Improving LLM Guardrails in CS Education](https://md.research.elamur.ai/free/en/papers/raihan-2026-codeguard-improving-llm-guardrails-cs/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nishat Raihan, Noah Erdachew, Jayoti Devi, et al.*2026*

**[CodeRipple: Wavelet-Based Detection of LLM-Generated Code](https://md.research.elamur.ai/free/en/papers/yao-2026-coderipple-wavelet-based-detection-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingyu Yao, Zhendong Mao, Quan Wang*2026*

**[CodeRise: Bootstrapping LLMs for Ultra Low-Resource Programming Languages via Progressive Self-Refinement Curriculum](https://md.research.elamur.ai/free/en/papers/wen-2026-coderise-bootstrapping-llms-ultra-low/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tengfei Wen, Xuanang Chen, Ben He, et al.*2026*

**[CodeRM-NT: Reward Model for Code RL without Unit Tests](https://md.research.elamur.ai/free/en/papers/xia-2026-coderm-nt-reward-model-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiao Xia, Dan Zhang, Tianrui Sun*2026*

**[CodeScout: Contextual Problem Statement Enhancement for Software Agents](https://md.research.elamur.ai/free/en/papers/suri-2026-codescout-contextual-problem-statement-enhancement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Manan Suri, Xiangci Li, Mehdi Shojaie, et al.*2026*

**[Codezone Research Group at AraSentEval Shared Task: Arabic Sentiment Swap beyond Negation Prepending, Benchmarking Multilingual T5 against Large Language Models on the MA'AKS Corpus](https://md.research.elamur.ai/free/en/papers/bichi-2026-codezone-research-group-arasenteval-shared/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Abdulkadir Shehu Bichi, Sarah Yassine*2026*

**[CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow Alignment](https://md.research.elamur.ai/free/en/papers/shayanfar-2026-codial-interpretable-task-oriented-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Radin Shayanfar, Chu Fei Luo, Rohan V Bhambhoria, et al.*2026*

**[CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution](https://md.research.elamur.ai/free/en/papers/yang-2026-coevolve-training-llm-agents-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shidong Yang, Ziyu Ma, Tongwen Huang, et al.*2026*

**[CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question Answering](https://md.research.elamur.ai/free/en/papers/lu-2026-cogbench-benchmarking-cognitive-alignment-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tong Lu, Zhichun Wang, Yuanhao Sun, et al.*2026*

**[CogEvolve: A Multimodal Benchmark for Evaluating Relational Reasoning in Semantic Extension](https://md.research.elamur.ai/free/en/papers/zeng-2026-cogevolve-multimodal-benchmark-evaluating-relational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingjie Zeng, Huayang Li, Liang Yang, et al.*2026*

**[CogGen: A Cognitively Inspired Recursive Framework for Deep Research Report Generation](https://md.research.elamur.ai/free/en/papers/tian-2026-coggen-cognitively-inspired-recursive-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kuo Tian, Pengfei Sun, Zhen Wu, et al.*2026*

**[CogNet-KG: Empowering Tutoring Dialogues with a Cognitively-Structured Knowledge Graph for STEM Learning](https://md.research.elamur.ai/free/en/papers/yu-2026-cognet-kg-empowering-tutoring-dialogues/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ding Yu, Yu Lu, Tengju Li, et al.*2026*

**[Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-cognitive-analysis-graph-guided-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lanxue Zhang, Yuqiang Xie, Fang Fang, et al.*2026*

**[Cognitive Effects and Biases in Large Language Models](https://md.research.elamur.ai/free/en/papers/schedl-2026-cognitive-effects-biases-large-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Markus Schedl, Ralph Hertwig, Antonela Tommasel, et al.*2026*

**[CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models](https://md.research.elamur.ai/free/en/papers/tong-2026-cogtom-comprehensive-theory-mind-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haibo Tong, Zeyang Yue, Feifei Zhao, et al.*2026*

**[Cohere Labs Community at FoodBench-QA 2026: The Cake Makes the Ingredients](https://md.research.elamur.ai/free/en/papers/ranjan-2026-cohere-labs-community-foodbench-qa/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Ravi Ranjan, Roshan Santhosh, Lucien Carroll*2026*

**[COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values](https://md.research.elamur.ai/free/en/papers/wu-2026-coig-p-high-quality-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Siwei Wu, JinCheng Ren, Xeron Du, et al.*2026*

**[Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG](https://md.research.elamur.ai/free/en/papers/zhou-2026-collision-cognition-hash-driven-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuang Zhou, Zheng Yuan, Linhao Luo, et al.*2026*

- [Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks](https://md.research.elamur.ai/free/en/papers/hobbs-2026-collocational-bootstrapping-hypothesis-about-learning/) — Claire Hobbs, R. Thomas McCoy · Mova's core list

**[Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models](https://md.research.elamur.ai/free/en/papers/zangari-2026-colorful-talks-graphs-human-interpretable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Angelo Zangari, Peyman Baghershahi, Sourav Medya*2026*

**[Colorism in Multimodal AI: An Empirical Exploration of Socioeconomic Linguistic Bias in Text-to-Image Generation](https://md.research.elamur.ai/free/en/papers/maurya-2026-colorism-multimodal-ai-empirical-exploration/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Raj Gaurav Maurya, Vaibhav Shukla, Sreedath Panat*2026*

**[Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction](https://md.research.elamur.ai/free/en/papers/rathore-2026-combining-distantly-supervised-models-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vipul Kumar Rathore, Malik Hammad Faisal, Parag Singla, et al.*2026*

**[Combining Semantic Embeddings and Knowledge Graphs for Identifying Decision Patterns in Brazilian Judicial Decisions](https://md.research.elamur.ai/free/en/papers/silva-2026-combining-semantic-embeddings-knowledge-graphs/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Gustavo Soares Silva, Omar Andres Carmona Cortes, Fábio Manoel França Lobato, et al.*2026*

**[CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling](https://md.research.elamur.ai/free/en/papers/zhao-2026-comet-collaborative-memory-transformer-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Runsong Zhao, Shilei Liu, Jiwei Tang, et al.*2026*

**[ComfyFlow: Benchmarking LLMs for AIGC Workflow Generation](https://md.research.elamur.ai/free/en/papers/xu-2026-comfyflow-benchmarking-llms-aigc-workflow/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenran Xu, Yiyu Wang, Yunxin Li, et al.*2026*

**[Common Objects Out of Context (COOCo): Investigating Multimodal Context and Semantic Scene Violations in Referential Communication](https://md.research.elamur.ai/free/en/papers/merlo-2026-common-objects-out-context-cooco/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Filippo Merlo, Ece Takmaz, Wenkai Chen, et al.*2026*

**[Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs](https://md.research.elamur.ai/free/en/papers/purkayastha-2026-common-sense-vs-morality-curious/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Saugata Purkayastha, Pranav Kushare, Pragya Paramita Pal, et al.*2026*

**[Common to Whom? Regional Cultural Commonsense and LLM Bias in India](https://md.research.elamur.ai/free/en/papers/madhusudan-2026-common-whom-regional-cultural-commonsense/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, et al.*2026*

**[CommonMorph: Participatory Morphological Documentation Platform](https://md.research.elamur.ai/free/en/papers/mahmudi-2026-commonmorph-participatory-morphological-documentation-platform/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aso Mahmudi, Sina Ahmadi, Kemal Maulana Kurniawan, et al.*2026*

**[Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding](https://md.research.elamur.ai/free/en/papers/wang-2026-commonsense-knowledge-negation-resource-enhance/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijie Wang, MohammadHossein Rezaei, Farzana Rashid, et al.*2026*

**[Commonsense Plausibility Estimation Based on Pretrained Models: A Survey (基于预训练模型的文本常识合理性估计研究综述)](https://md.research.elamur.ai/free/en/papers/cui-2026-commonsense-plausibility-estimation/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Wanqing Cui (崔莞清), Keping Bi (毕可平), Jiafeng Guo (郭嘉丰), et al.*2026*

**[Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches](https://md.research.elamur.ai/free/en/papers/madmoun-2026-communication-enables-cooperation-llm-agents/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hachem Madmoun, Salem Lahlou*2026*

**[Communication-Efficient Desire Alignment for Proactive Embodied Human–Agent Interaction](https://md.research.elamur.ai/free/en/papers/wang-2026-communication-efficient-desire-alignment-proactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanfei Wang, Xinju Huang, Fangwei Zhong, et al.*2026*

**[Compact Example-Based Explanations for Language Models](https://md.research.elamur.ai/free/en/papers/schoenegger-2026-compact-example-based-explanations-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Loris Schoenegger, Benjamin Roth*2026*

**[COMPACT: Building Compliance Paralegals via Clause Graph Reasoning over Contracts](https://md.research.elamur.ai/free/en/papers/singh-2026-compact-building-compliance-paralegals-clause/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ayush Singh, Dishank Aggarwal, Pranav Bhagat, et al.*2026*

**[Comparative Evaluation of AI-Generated vs. Expert-written Answer Explanations for a Medical Education Self-Assessment](https://md.research.elamur.ai/free/en/papers/zhou-2026-comparative-evaluation-ai-generated-vs/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Yiyun Zhou, Francis O'Donnell, Victoria Yaneva*2026*

- [Comparing and Modeling Argumentation in German Political Communication across Arenas arXiv:2608.00288](https://md.research.elamur.ai/free/en/papers/vikhrova-2026-comparing-modeling-argumentation-german-political/) — Nina Vikhrova, Johannes Kuhling, Sebastian Haunss, et al. · 2026

**[Comparing Approaches to Automatic Summarization in Less-Resourced Languages](https://md.research.elamur.ai/free/en/papers/michel-2026-comparing-approaches-automatic-summarization-less/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Chester Palen-Michel, Constantine Lignos*2026*

- [Comparing BERT Sentence-Pair Classification and Few-Shot LLM Prompting for Detecting Threat and Solution Framing in German Climate News arXiv:2606.26489](https://md.research.elamur.ai/free/en/papers/adam-2026-comparing-bert-sentence-pair-classification/) — Raven Adam, David Maier, Marie Kogler · 2026

**[Comparing Computer Vision Instruments for Eye Blink Analysis](https://md.research.elamur.ai/free/en/papers/susman-2026-comparing-computer-vision-instruments-eye/) [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/)**Margaux Susman, Carla Miquel Blasco, Jan Bulla*2026*

- [Comparing Human and Automatic Recognition of Dutch Dysarthric Continuous Speech: A Case Study arXiv:2606.30237](https://md.research.elamur.ai/free/en/papers/zhang-2026-comparing-human-automatic-recognition-dutch/) — Yuanyuan Zhang, Dimme de Groot, Jorge Martinez, et al. · 2026

**[COMPEL: Compensated Mixture-of-Experts Pruning with Expert-Layer distribution](https://md.research.elamur.ai/free/en/papers/yoon-2026-compel-compensated-mixture-experts-pruning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seohee Yoon, Yong Suk Choi*2026*

- [Completing and Validating the Re-Aligned Switchboard Dialog Act Corpus](https://md.research.elamur.ai/free/en/papers/chen-2026-completing-validating-re-aligned-switchboard/) — Run Chen, Zihao Tao, John Prado, et al. · English

**[Complex-IF and Beyond: Expert Rubrics for RLVR](https://md.research.elamur.ai/free/en/papers/mehta-2026-complex-if-beyond-expert-rubrics/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Sushant Mehta, Liudas Panavas, Eleanor Fleming, et al.*2026*

**[Component Transfer Can Exceed Full Model Performance: Investigating Post-Trained Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/tiwari-2026-component-transfer-can-exceed-full/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Rabin Tiwari*2026*

**[Compositional Meaning Representations in LLMs: a Critical Review of Probing Studies](https://md.research.elamur.ai/free/en/papers/marro-2026-compositional-meaning-representations-llms-critical/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Rémy Marro*2026*

**[Compositional Steering of Large Language Models with Steering Tokens](https://md.research.elamur.ai/free/en/papers/radevski-2026-compositional-steering-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gorjan Radevski, Kiril Gashteovski, Giwon Hong, et al.*2026*

**[Comprehensive Benchmarking of Long-Form Speech Generation in Diverse Scenarios](https://md.research.elamur.ai/free/en/papers/pan-2026-comprehensive-benchmarking-long-form-speech/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Changhao Pan, Rui Yang, Han Wang, et al.*2026*

**[Compressed Representations of Patient Records: A Comparative Study of Template-Based and LLM-Based Methods for Clinical Data Summarization and Visualization](https://md.research.elamur.ai/free/en/papers/stockl-2026-compressed-representations-patient-records-comparative/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Andreas Stöckl, Oliver Krauss, Sophie Bauernfeind*2026*

**[Compressing Language Models for Specialized Domains](https://md.research.elamur.ai/free/en/papers/williams-2026-compressing-language-models-specialized-domains/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Miles Williams, George Chrysostomou, Vitor Amancio Jeronymo, et al.*2026*

**[Compression-based Language Complexity under Register Variation in Portuguese](https://md.research.elamur.ai/free/en/papers/serras-2026-compression-based-language-complexity-under/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Felipe Ribas Serras, Marcelo Finger*2026*

**[CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables](https://md.research.elamur.ai/free/en/papers/yang-2026-comptab-comprehensive-benchmark-real-world/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Yang, Wei Du, Jie Wang, et al.*2026*

**[Computational Benchmarks for Egyptian Arabic Child Directed Speech](https://md.research.elamur.ai/free/en/papers/khalifa-2026-computational-benchmarks-egyptian-arabic-child/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Salam Khalifa, Abed Qaddoumi, Nizar Habash, et al.*2026*

**[Computational Modeling of Educational Theory in Low-Socioeconomic Contexts](https://md.research.elamur.ai/free/en/papers/swearingen-2026-computational-modeling-educational-theory-low/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Jadon Swearingen, Mustafa Ocal, Md Tarique Hasan Khan, et al.*2026*

- [Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives arXiv:2607.18443](https://md.research.elamur.ai/free/en/papers/tsvilodub-2026-computational-models-pragmatic-reasoning-flexible/) — Polina Tsvilodub, Fausto Carcassi, Michael Franke · 2026

**[Computational Narrative Understanding for Expressive Text-to-Speech](https://md.research.elamur.ai/free/en/papers/michel-2026-computational-narrative-understanding-expressive-text/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Gaspard Michel, Elena V. Epure, Christophe Cerisara*2026*

**[Concept rather than Document: Context Compression via AMR-based Conceptual Entropy](https://md.research.elamur.ai/free/en/papers/shi-2026-concept-rather-than-document-context/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaize Shi, Xueyao Sun, Xiaohui Tao, et al.*2026*

**[Conceptual Cultural Index: A Metric for Cultural Specificity via Relative Generality](https://md.research.elamur.ai/free/en/papers/ohashi-2026-conceptual-cultural-index-metric-cultural/) [Workshop on Multilingual Multicultural Evaluation](https://md.research.elamur.ai/free/en/venues/mme/)**Takumi Ohashi, Hitoshi Iyatomi*2026*

**[Conceptualising love in Amharic](https://md.research.elamur.ai/free/en/papers/kacprzak-2026-conceptualising-love-amharic/) [Studies in African Languages and Cultures](https://md.research.elamur.ai/free/en/venues/studies-of-the-department-of-african-languages-and-cultures-studies-in-african/)**Aleksander Kacprzak*2026*

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**[Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer](https://md.research.elamur.ai/free/en/papers/tikhonov-2026-confidence-leaps-llm-reasoning-early/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pavel Tikhonov, Ivan Oseledets, Elena Tutubalina*2026*

**[Confidence-Aware Ranker Ensembles for Robust In-Context Knowledge Editing](https://md.research.elamur.ai/free/en/papers/nair-2026-confidence-aware-ranker-ensembles-robust/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tejal Nair, Mahmud Wasif Nafee, Maiqi Jiang, et al.*2026*

**[Confidence-Weighted Token Set Cover for Early Hypothesis Pruning in Self-Consistency](https://md.research.elamur.ai/free/en/papers/sultan-2026-confidence-weighted-token-set-cover/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Md Arafat Sultan, Ramón Fernandez Astudillo*2026*

**[Confident, Calibrated, or Complicit: Safety Alignment and Ideological Bias in LLM Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/selvaganapathy-2026-confident-calibrated-or-complicit-safety/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sanjeevan Selvaganapathy, Mehwish Nasim*2026*

**[Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most](https://md.research.elamur.ai/free/en/papers/yasir-2026-confirming-correct-missing-rest-llm/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Tahreem Yasir, Wenbo Li, Sam Gilson, et al.*2026*

**[Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection Rules](https://md.research.elamur.ai/free/en/papers/ma-2026-conflict-aware-memory-embodied-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kexin Ma, Haotian Wang, Shenglin Chen, et al.*2026*

**[ConGA: Guidelines for Contextual Gender Annotation. a Framework for Annotating Gender in Machine Translation](https://md.research.elamur.ai/free/en/papers/rescigno-2026-conga-guidelines-contextual-gender-annotation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Argentina Anna Rescigno, Eva Vanmassenhove, Johanna Monti*2026*

**[Conjecture and Inquiry: Quantifying Software Performance Requirements via Interactive Retrieval-Augmented Preference Elicitation](https://md.research.elamur.ai/free/en/papers/wang-2026-conjecture-inquiry-quantifying-software-performance/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shihai Wang, Tao Chen*2026*

**[ConMA : Confidence-Guided Kernel Sampling with Multi-Stage Aggregation for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-conma-confidence-guided-kernel-sampling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yinuo Wang, Qingjie Li, Wenyao Cui, et al.*2026*

**[ConSensus: Multi-Agent Collaboration for Multimodal Sensing](https://md.research.elamur.ai/free/en/papers/yoon-2026-consensus-multi-agent-collaboration-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hyungjun Yoon, Mohammad Malekzadeh, Sung-Ju Lee, et al.*2026*

**[Consistency of LLMs to Comparative Statements in Mathematical Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/san-2026-consistency-llms-comparative-statements-mathematical/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.*2026*

**[Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration](https://md.research.elamur.ai/free/en/papers/zhao-2026-consolidation-or-adaptation-prism-disentangling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Zhao, Yangou Ouyang, Xiao Ding, et al.*2026*

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**[Constraints on Linking Element Choice in German Nominal Compounding: A Large-Scale Corpus Study](https://md.research.elamur.ai/free/en/papers/shmalts-2026-constraints-linking-element-choice-german/) [Workshop on Structured Linguistic Data and Evaluation (SLiDE)](https://md.research.elamur.ai/free/en/venues/slide/)**Maksim Shmalts*2026*

**[Constructing a Dataset for Hallucination Detection in Japanese Summarization with Fine-grained Faithfulness Labels](https://md.research.elamur.ai/free/en/papers/tanaka-2026-constructing-dataset-hallucination-detection-japanese/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hikari Tanaka, Atsushi Keyaki, Mamoru Komachi*2026*

**[Constructing a Japanese Rap Lyric Generation Model with GRPO](https://md.research.elamur.ai/free/en/papers/ogawa-2026-constructing-japanese-rap-lyric-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hayato Ogawa, Daisuke Kawahara*2026*

**[Constructing a Japanese Verdict Prediction Dataset for Fact-Checking of LLM-Generated Texts](https://md.research.elamur.ai/free/en/papers/masano-2026-constructing-japanese-verdict-prediction-dataset/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miwa Masano, Hirokazu Kiyomaru, Atsushi Keyaki, et al.*2026*

**[Constructing a Silver Corpus for Weakly Supervised Vietnamese Event Extraction using Cross-Document N-ary Relation Filtering](https://md.research.elamur.ai/free/en/papers/hieu-2026-constructing-silver-corpus-weakly-supervised/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Phạm Xuân Hiệu, Tuan Vu Minh, Mai-Vu Tran, et al.*2026*

**[Construction and Analysis of Japanese Parent-Child Dialogic Reading Corpus for Conversational Agents](https://md.research.elamur.ai/free/en/papers/nakagi-2026-construction-analysis-japanese-parent-child/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yuko Nakagi, Yuya Chiba, Sanae Fujita, et al.*2026*

**[Construction of Japanese Prefectural Assembly Minutes Datasets across Three Electoral Terms: Comparative Analysis of 2011, 2015, and 2019 Four-Year Periods](https://md.research.elamur.ai/free/en/papers/takamaru-2026-construction-japanese-prefectural-assembly-minutes/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Keiichi Takamaru, Hokuto Ototake, Yuzu Uchida, et al.*2026*

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