---
title: "Papers of 2026 — page 36 — 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/36/"
---
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# Papers of 2026 — page 36

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

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**[Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and Trust](https://md.research.elamur.ai/free/en/papers/subramani-2026-harnessing-latent-space-steering-vectors/) [Big Picture v2: Crafting a Research Narrative](https://md.research.elamur.ai/free/en/venues/bigpicture/)**Nishant Subramani*2026*

**[HARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational Recommendation](https://md.research.elamur.ai/free/en/papers/raj-2026-harpo-hierarchical-agentic-reasoning-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Subham Raj, Aman Vaibhav Jha, Mayank Anand, et al.*2026*

- [Hate Speech Detection in Turkish and Arabic: A Comprehensive Study arXiv:2607.00143](https://md.research.elamur.ai/free/en/papers/dehghan-2026-hate-speech-detection-turkish-arabic/) — Somaiyeh Dehghan, Gokçe Uludo\ugan, Mehmet Umut Şen, et al. · 2026

**[HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/proskurina-2026-hateprototypes-interpretable-transferable-representations-implicit/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Irina Proskurina, Marc-Antoine Carpentier, Julien Velcin*2026*

**[HCMUS RepeatedGames at SemEval-2026 Task 12: CausalRAG: Synergizing Causal Graph Retrieval and Extended LoRA for Abductive Reasoning](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-repeatedgames-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Duy Minh Dao Sy, Nguyen Tran, Trung Kiet Huynh, et al.*2026*

**[HCMUS_PrompterXPrompter at AbjadMed: When Classification Meets Retrieval: Taming the Long Tail in Arabic Medical Text Classification](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-prompterxprompter-abjadmed-when-classification/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Duy Minh Dao Sy, Trung Kiet Huynh, Nguyen Dinh Ha Duong, et al.*2026*

**[HCMUS_The Fangs at AbjadStyleTransfer Shared Task: Learning to Query Style, Contrastive Representations for Zero-Shot Arabic Authorship Style Transfer](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-fangs-abjadstyletransfer-shared-task/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Duy Minh Dao Sy, Trung Kiet Huynh, Nguyen Chi Tran, et al.*2026*

**[HCMUS_TheFangs at AbjadGenEval Shared Task: Weighted Layer Pooling with Attention Fusion for Arabic AI-Generated Text Detection](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-thefangs-abjadgeneval-shared-task/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Duy Minh Dao Sy, Nguyen Chi Tran, Trung Kiet Huynh, et al.*2026*

**[HCMUS_TheFangs at NakbaArchiveClassifier Shared Task: Foundation Models and Advanced Training Strategies for Conflict Damage Classification](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-thefangs-nakbaarchiveclassifier-shared-task/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Duy Minh Dao Sy, Trung Kiet Huynh, Nguyen Chi Tran, et al.*2026*

**[HCMUS_TheFangs at NakbaVirality Shared Task: The Audience is the Message: Escaping the Deep Learning Trap in Conflict-Domain Virality Prediction](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-thefangs-nakbavirality-shared-task/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Dao Sy, Duy Minh*2026*

**[HCMUSDroneBoys at SemEval-2026 Task 11: Asymmetric Counterfactual Debiasing and Rank-Sensitive Logical Invariance Adaptation for Syllogistic Reasoning](https://md.research.elamur.ai/free/en/papers/tran-2026-hcmusdroneboys-semeval-2026-task-11/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Nguyen Tran, Duy Minh Dao Sy, Trung Kiet Huynh, et al.*2026*

**[HCSpec: Two-Tier Horizontal Cascade Speculative Decoding for High-Efficiency Large Language Model Inference](https://md.research.elamur.ai/free/en/papers/zhang-2026-hcspec-two-tier-horizontal-cascade/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yizhou Zhang, Siming Chen, Hao Ye, et al.*2026*

**[Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?](https://md.research.elamur.ai/free/en/papers/meyer-2026-headlines-you-won-t-forget/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Selina Meyer, Magdalena Abel, Michael Roth*2026*

**[HearSay Benchmark: Do Audio LLMs Leak What They Hear?](https://md.research.elamur.ai/free/en/papers/wang-2026-hearsay-benchmark-do-audio-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Wang, Kaiwen Luo, Liang Lin, et al.*2026*

- [HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/) — Noam Kayzer, Dan Revital, Ori Bar Joseph, et al. · Modern Hebrew

**[Hebbian-Guided Bi-Directional Rank Adaptation for Parameter-Efficient Fine-Tuning](https://md.research.elamur.ai/free/en/papers/zhao-2026-hebbian-guided-bi-directional-rank/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xing Zhao, Liu Yang, Xi-Le Zhao, et al.*2026*

**[Helpful or Harmful? The Dual Role of Linguistic Features in LLM-Based Dialectal Machine Translation](https://md.research.elamur.ai/free/en/papers/dahou-2026-helpful-or-harmful-dual-role/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Abdelhalim Hafedh Dahou, Mohamed Amine Cheragui*2026*

**[Hemolix.TabGen: Optimized Table Generation from Documents](https://md.research.elamur.ai/free/en/papers/shrestha-2026-hemolix-tabgen-optimized-table-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gyanendra Shrestha, Todor Ivanov, Karthik Vemireddy, et al.*2026*

- [HerHealthEval: Evaluating Multilingual and Register-Sensitive Understanding of Women's Health Communication arXiv:2609.20684](https://md.research.elamur.ai/free/en/papers/albattra-2026-herhealtheval-evaluating-multilingual-register-sensitive/) — Hassan Saeed Hassan Albattra, Mazen Mohammed Bahgat, Rahatara Ferdousi, et al. · 2026

**[hermeneutichools at SemEval-2026 Task 4: Multiperspectivity as a Resource for Narrative Similarity Prediction](https://md.research.elamur.ai/free/en/papers/upravitelev-2026-hermeneutichools-semeval-2026-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Max Upravitelev, Veronika Solopova, Jing Yang, et al.*2026*

**[HERMeS: Human Evaluation & Ranking of MultiplE Systems](https://md.research.elamur.ai/free/en/papers/vanhorn-2026-hermes-human-evaluation-ranking-multiple/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Rex Vanhorn*2026*

**[Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-hetero-designer-automated-design-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu, et al.*2026*

**[HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM Inference](https://md.research.elamur.ai/free/en/papers/shi-2026-heterocache-dynamic-retrieval-approach-heterogeneous/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyuan Shi, Qibo Qiu, Xuefeng, et al.*2026*

**[Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck?](https://md.research.elamur.ai/free/en/papers/renduchintala-2026-heterogeneity-formal-linguistic-competence-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**H S V N S Kowndinya Renduchintala, Sumit Bhatia*2026*

**[HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DST](https://md.research.elamur.ai/free/en/papers/zhang-2026-hicolora-addressing-context-prompt-misalignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuyu Zhang, Yifan Wei, Xinru Wang, et al.*2026*

**[Hidden Sentiments: The Impact of Low-level Adversarial Perturbations on Arabic Sentiment Analysis Services](https://md.research.elamur.ai/free/en/papers/abdelkader-2026-hidden-sentiments-impact-low-level/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Hefny Abdelkader, Abdelrahman Hamada*2026*

**[HiEdit: Lifelong Model Editing with Hierarchical Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-hiedit-lifelong-model-editing-hierarchical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yangfan Wang, Tianyang Sun, Chen Tang, et al.*2026*

**[Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech](https://md.research.elamur.ai/free/en/papers/ouyang-2026-hierarchical-policy-optimization-simultaneous-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siqi Ouyang, Shuoyang Ding, Oleksii Hrinchuk, et al.*2026*

**[Hierarchical Reason-of-Contact Detection in Retail Banking Customer Interactions via LLM-Driven Taxonomy Induction](https://md.research.elamur.ai/free/en/papers/mantri-2026-hierarchical-reason-contact-detection-retail/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yoages Kumar Mantri, Yagneswaran Sriraja, John Hartley, et al.*2026*

**[High-Order Question Generation in a Multilingual Educational Context](https://md.research.elamur.ai/free/en/papers/ucar-2026-high-order-question-generation-multilingual/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Suna Seyma Uçar, Itziar Aldabe, Nora Aranberri, et al.*2026*

**[High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel Computing](https://md.research.elamur.ai/free/en/papers/wang-2026-high-throughput-memory-efficient-zeroth/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Liangyu Wang, Huanyi Xie, Di Wang*2026*

**[HiGoE: Hierarchical Graph of Evidence to Enhance Retrieval-Augmented Generation for Long-context Summarization](https://md.research.elamur.ai/free/en/papers/yuan-2026-higoe-hierarchical-graph-evidence-enhance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Long Yuan, Kaiwen Tian, Zi Chen, et al.*2026*

**[HiKEY: Hierarchical Multimodal Retrieval for Open-Domain Document Question Answering](https://md.research.elamur.ai/free/en/papers/shin-2026-hikey-hierarchical-multimodal-retrieval-open/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joongmin Shin, Gyuho Shim, Jeongbae Park, et al.*2026*

**[Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine Translation](https://md.research.elamur.ai/free/en/papers/marmonier-2026-hindsight-quality-prediction-experiments-multi/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Malik Marmonier, Benoît Sagot, Rachel Bawden*2026*

**[Historical Newspapers in the General Regionally Annotated Corpus of Ukrainian (GRAC): Current State and PressMint Integration Prospects](https://md.research.elamur.ai/free/en/papers/shvedova-2026-historical-newspapers-general-regionally-annotated/) [Workshop on Creating Interoperable Corpora of Historical Newspapers](https://md.research.elamur.ai/free/en/venues/pressmint/)**Maria Shvedova, Arsenii Lukashevskyi*2026*

**[HistoryBankQA: Multilingual Temporal Question Answering on Historical Events](https://md.research.elamur.ai/free/en/papers/mandal-2026-historybankqa-multilingual-temporal-question-answering/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Biswadip Mandal, Anant Khandelwal, Manish Gupta*2026*

**[HiTZ-IXA at ArchEHR-QA 2026: Evidence Alignment Through Self-Consistency and Prompt Curation in Memory-Constrained Environments](https://md.research.elamur.ai/free/en/papers/urbieta-2026-hitz-ixa-archehr-qa-2026/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Xabier Irastortza-Urbieta, Maite Oronoz, Alicia Pérez*2026*

**[HOPE: Hybrid Optimized Parallel Encoding with Supervised and Unsupervised Semantic Fusion for Depression Symptom Detection](https://md.research.elamur.ai/free/en/papers/mai-2026-hope-hybrid-optimized-parallel-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tu-Phuong Mai, Minh-Ha H. Le, Duc-Luong Tran, et al.*2026*

**[HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions](https://md.research.elamur.ai/free/en/papers/shen-2026-hopweaver-cross-document-synthesis-high/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyu Shen, Jiyuan Liu, Yunhe Pang, et al.*2026*

**[HOTATE: A Japanese Dialogue Corpus Annotated with Responses of Private Thoughts and Public Statements](https://md.research.elamur.ai/free/en/papers/toda-2026-hotate-japanese-dialogue-corpus-annotated/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yuko Toda, Daisuke Maekawa, Kota Manabe, et al.*2026*

**[HotelCheckSpan: A Benchmark Dataset for LLM Faithfulness](https://md.research.elamur.ai/free/en/papers/schmidtova-2026-hotelcheckspan-benchmark-dataset-llm-faithfulness/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Patricia Schmidtova, Ondrej Dusek, Saad Mahamood*2026*

**[How Adversarial Environments Mislead Agentic AI?](https://md.research.elamur.ai/free/en/papers/zhan-2026-how-adversarial-environments-mislead-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhonghao Zhan, Huichi Zhou, Zhenhao Li, et al.*2026*

**[How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective](https://md.research.elamur.ai/free/en/papers/zhu-2026-how-can-synthetic-data-improve/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tongyao Zhu, Qian Liu, Chang Ma, et al.*2026*

**[How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities](https://md.research.elamur.ai/free/en/papers/xu-2026-how-controllable-are-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziwen Xu, Kewei Xu, Haoming Xu, et al.*2026*

**[How Do Inpainting Artifacts Propagate to Language?](https://md.research.elamur.ai/free/en/papers/yashwante-2026-how-do-inpainting-artifacts-propagate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pratham Yashwante, Davit Abrahamyan, Shresth Grover, et al.*2026*

**[How Do Language Models Acquire Character-Level Information?](https://md.research.elamur.ai/free/en/papers/sato-2026-how-do-language-models-acquire/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Soma Sato, Ryohei Sasano*2026*

**[How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study](https://md.research.elamur.ai/free/en/papers/yang-2026-how-do-llms-vlms-understand/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Yang, Ping Jian, Zhongbin Guo, et al.*2026*

**[How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective](https://md.research.elamur.ai/free/en/papers/nguyen-2026-how-do-llms-generate-contrastive/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Van Bach Nguyen, Jörg Schlötterer, Christin Seifert*2026*

**[How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors](https://md.research.elamur.ai/free/en/papers/yu-2026-how-do-visual-attributes-influence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kuai Yu, Naicheng Yu, Han Wang, et al.*2026*

- [How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline arXiv:2604.04204](https://md.research.elamur.ai/free/en/papers/nayeem-2026-english-us-become-default-triangulating/) — Mir Tafseer Nayeem, Davood Rafiei · 2026

**[How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?](https://md.research.elamur.ai/free/en/papers/sil-2026-how-effective-are-vlms-assisting/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pritam Sil, Durgaprasad Karnam, Vinay Reddy Venumuddala, et al.*2026*

- [How English Print Media Frames Human-Elephant Conflicts in India arXiv:2604.21496](https://md.research.elamur.ai/free/en/papers/punith-2026-english-print-media-frames-human/) — Bonala Sai Punith, Salveru Jayati, Garima Shakya, et al. · 2026
- [How far back in antiquity can we trace the oral tradition underlying Tiberian Hebrew?](https://md.research.elamur.ai/free/en/papers/joosten-2026-far-back-antiquity-trace-oral/) — Jan Joosten · Ancient Hebrew

**[How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.*2026*

**[How Foundation Models Behave for Arabic Image Captioning?](https://md.research.elamur.ai/free/en/papers/dahimi-2026-how-foundation-models-behave-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Khaoula Dahimi, Amel Belabbaci, Hadda Cherroun, et al.*2026*

**[How Good is AI on Swiss Voting Booklets? A Multilingual OCR and Alignment Benchmark](https://md.research.elamur.ai/free/en/papers/stussi-2026-how-good-is-ai-swiss/) [Edition of the Swiss Text Analytics Conference](https://md.research.elamur.ai/free/en/venues/swisstext/)**Elina Stüssi, Jannis Vamvas*2026*

- [How Loud Rumbles Hit Newsstands: A Data Analysis of Coverage and Spatial Bias in German News about Landslides Around the World arXiv:2605.18105](https://md.research.elamur.ai/free/en/papers/madureira-2026-loud-rumbles-hit-newsstands-data/) — Brielen Madureira, Andreas Niekler, Marc Keuschnigg, et al. · 2026

**[How much capacity does Turkish inflection require? An empirical study of GRU encoder–decoder bottlenecks.](https://md.research.elamur.ai/free/en/papers/mailhot-2026-how-much-capacity-does-turkish/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Fred Mailhot*2026*

**[How Much Data for Stable Formant Values? Pipeline for Convergence Detection Based on Read Speech](https://md.research.elamur.ai/free/en/papers/sward-2026-how-much-data-stable-formant/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kayla Sward, Johan Sjons, Axel G. Ekstrom*2026*

**[How Much Does Persuasion Strategy Matter? LLM-Annotated Evidence from Charitable Donation Dialogues](https://md.research.elamur.ai/free/en/papers/petrova-2026-how-much-does-persuasion-strategy/) [Workshop on Social Context (SoCon) and the Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ LREC](https://md.research.elamur.ai/free/en/venues/socon/)**Tatiana Petrova, Stanislav Sokol, Radu State*2026*

**[How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting](https://md.research.elamur.ai/free/en/papers/seegmiller-2026-how-much-would-clinician-edit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Parker Seegmiller, Joseph Gatto, Sarah E. Greer, et al.*2026*

**[How Retrieved Context Shapes Internal Representations in RAG](https://md.research.elamur.ai/free/en/papers/yeh-2026-how-retrieved-context-shapes-internal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Samuel Yeh, Sharon Li*2026*

**[How to Improve LLMs' Performance on Specific Languages: A Perspective on LLM-Derived Language Similarity](https://md.research.elamur.ai/free/en/papers/shi-2026-how-improve-llms-performance-specific/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinhe Shi, Qingcheng Zeng, Weihao Xuan, et al.*2026*

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