---
title: "Papers of 2026 — page 35 — 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/35/"
---
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# Papers of 2026 — page 35

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

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**[Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models](https://md.research.elamur.ai/free/en/papers/sun-2026-generalizing-trust-weak-strong-trustworthiness/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lillian Sun, Martin Pawelczyk, Zhenting Qi, et al.*2026*

**[Generating Research Data Metadata from Their Accompanying README Files](https://md.research.elamur.ai/free/en/papers/sekido-2026-generating-research-data-metadata-their/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Kotaro Sekido, Yu Watanabe, Koichiro Ito, et al.*2026*

**[Generating Sign Language Poses from HamNoSys and Natural Language Descriptions](https://md.research.elamur.ai/free/en/papers/maximo-2026-generating-sign-language-poses-hamnosys/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Santiago Máximo, Luis Chiruzzo*2026*

**[Generation of Dialogue Breakdown Repair Utterance in Non-task Oriented Conversation](https://md.research.elamur.ai/free/en/papers/tsubokura-2026-generation-dialogue-breakdown-repair-utterance/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Kazuya Tsubokura, Yurie Iribe, Norihide Kitaoka*2026*

**[Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMs](https://md.research.elamur.ai/free/en/papers/moriyama-2026-generation-instruction-preference-dataset-improving/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kei Moriyama, Takashi Kodama, Kouta Nakayama*2026*

**[Generative Gamer: Learning Equilibrium Strategy by LLM-driven Dynamic Deduction](https://md.research.elamur.ai/free/en/papers/zhang-2026-generative-gamer-learning-equilibrium-strategy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yadong Zhang, Xinshu Shen, Yupei Ren, et al.*2026*

**[Generative Information Extraction from Biographical Sources](https://md.research.elamur.ai/free/en/papers/winkle-2026-generative-information-extraction-biographical-sources/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Robin Winkle, Manfred Stede, Jörn Kreutel*2026*

**[Generative-to-Discriminative Test-Time Adaptation via Manifold-Aware Diffusion and Bayesian Distillation](https://md.research.elamur.ai/free/en/papers/zhang-2026-generative-discriminative-test-time-adaptation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Boyun Zhang, Zequn Xie, Fangming Feng, et al.*2026*

**[GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling](https://md.research.elamur.ai/free/en/papers/xu-2026-genesisfunc-multi-agent-data-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao-Xiang Xu, Chong Deng, Jiaqing Liu, et al.*2026*

**[GENIUS Keylog Corpus - a German High School Student Corpus with Keystroke Logging Data](https://md.research.elamur.ai/free/en/papers/schaller-2026-genius-keylog-corpus-german-high/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nils-Jonathan Schaller, Thorben Jansen, Lars Höft, et al.*2026*

**[GENOME: A New Geopolitical Event Methodology and Dataset using Large Language Models](https://md.research.elamur.ai/free/en/papers/orto-2026-genome-new-geopolitical-event-methodology/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Alessandro Dell'Orto, Jesse Kommandeur*2026*

**[GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding](https://md.research.elamur.ai/free/en/papers/long-2026-genomeqa-benchmarking-general-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weicai Long, Yusen Hou, Junning Feng, et al.*2026*

**[GenProve: Learning to Generate Text with Fine-Grained Provenance](https://md.research.elamur.ai/free/en/papers/wei-2026-genprove-learning-generate-text-fine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingxuan Wei, Xingyue Wang, Yanghaoyu Liao, et al.*2026*

**[GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing](https://md.research.elamur.ai/free/en/papers/wang-2026-genpt-beyond-self-report-reliable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ming Wang, Shuang Wu, Bixuan Wang, et al.*2026*

**[GeoGround: Uncertainty-Weighted Multi-Task Learning for Geo-Alignment and Address Defect Detection](https://md.research.elamur.ai/free/en/papers/virinchi-2026-geoground-uncertainty-weighted-multi-task/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Srinivas Virinchi, Aman Gulati, Anoop Saladi*2026*

**[GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language Models](https://md.research.elamur.ai/free/en/papers/pan-2026-geolan-geometric-learning-latent-explanatory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tianyu Pan, Damon L. Woodard*2026*

- [Geolocating News about Extreme Climate Events: A Comparative Analysis of Off-the-Shelf Tools for Toponym Identification in German arXiv:2605.03414](https://md.research.elamur.ai/free/en/papers/madureira-2026-geolocating-news-about-extreme-climate/) — Brielen Madureira, Mariana Madruga de Brito, Andreas Niekler · 2026

**[GeometryZero: Advancing Geometry Solving via Group Contrastive Policy Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-geometryzero-advancing-geometry-solving-group/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yikun Wang, Yibin Wang, Dianyi Wang, et al.*2026*

**[Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language](https://md.research.elamur.ai/free/en/papers/wang-2026-geoparsing-diagram-parsing-plane-solid/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peijie Wang, Ming-Liang Zhang, Jun Cao, et al.*2026*

**[GeoQuery-LSFB: A French Belgian Sign Language Corpus with Procedural Semantic Annotations](https://md.research.elamur.ai/free/en/papers/vos-2026-geoquery-lsfb-french-belgian-sign/) [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/)**Liesbet De Vos, Laurence Meurant, Paul Van Eecke, et al.*2026*

**[GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR](https://md.research.elamur.ai/free/en/papers/zhang-2026-geora-geometry-aware-low-rank/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiaying Zhang, Lei Shi, Jiguo Li, et al.*2026*

**[GeoRC: A Benchmark for Geolocation Reasoning Chains](https://md.research.elamur.ai/free/en/papers/talreja-2026-georc-benchmark-geolocation-reasoning-chains/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohit Talreja, Joshua Diao, Jim James, et al.*2026*

**[GePaDeSE: A New Resource for Clause-Level Aspect in German Parliamentary Debates](https://md.research.elamur.ai/free/en/papers/schlenker-2026-gepadese-new-resource-clause-level/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julian Schlenker, Ines Rehbein, Lilly Brauner, et al.*2026*

- [German parties shifted towards intuition-based rhetoric after the far right's parliamentary breakthrough arXiv:2608.05075](https://md.research.elamur.ai/free/en/papers/saleth-2026-german-parties-shifted-towards-intuition/) — Peer Saleth, Segun T. Aroyehun, Fabio Carrella, et al. · 2026

**[GerVLPro: A CEFR-Graded Vocabulary List of L2 Learners' Productive Vocabulary in German](https://md.research.elamur.ai/free/en/papers/michael-2026-gervlpro-cefr-graded-vocabulary-list/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Noah-Manuel Michael, Anna Hülsing, Andrea Horbach*2026*

**[Getting Close to Cloze: Investigating Language Model and Human Cloze-test Performance in Afrikaans](https://md.research.elamur.ai/free/en/papers/lotz-2026-getting-close-cloze-investigating-language/) [Resources for African Indigenous Languages (RAIL) @ LREC](https://md.research.elamur.ai/free/en/venues/rail/)**Susan Lotz, Rik van Noord, Gertjan van Noord*2026*

**[GHAD NLP at AdabEval2026: Transformer-Based Approach for Arabic Politeness and Pragmatic Category Classification](https://md.research.elamur.ai/free/en/papers/alfattni-2026-ghad-nlp-adabeval2026-transformer-based/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ghada Alfattni, Ghader Kurdi*2026*

**[Ghost Context: Measuring Cross-Context Interference in Long-Context Language Models](https://md.research.elamur.ai/free/en/papers/namboothiri-2026-ghost-context-measuring-cross-context/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Rohith Namboothiri*2026*

**[Ghost in the Shell: Synonym-Aware Logit Shaping Fingerprint for Copyright Protection of Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-ghost-shell-synonym-aware-logit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaofan Zheng, Xinghao Wang, Xiaojun Wan*2026*

**[GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and Generators](https://md.research.elamur.ai/free/en/papers/schaaf-2026-ghostwriter-hidden-ai-generated-texts/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Manuel Schaaf, Kevin Bönisch, Alexander Mehler*2026*

**[GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models](https://md.research.elamur.ai/free/en/papers/ruan-2026-gift-guided-fine-tuning-transfer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiwen Ruan, Yichao Du, Jianjie Zheng, et al.*2026*

**[GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization](https://md.research.elamur.ai/free/en/papers/tolstykh-2026-gigacheck-detecting-llm-generated-content/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Irina Tolstykh, Aleksandra Tsybina, Sergey Yakubson, et al.*2026*

**[Giving Voice to the Constitution: Low-Resource Text-to-Speech for Quechua and Spanish Using a Bilingual Legal Corpus](https://md.research.elamur.ai/free/en/papers/ortega-2026-giving-voice-constitution-low-resource/) [Workshop on Natural Language Processing for Political Sciences](https://md.research.elamur.ai/free/en/venues/politicalnlp/)**John E. Ortega, Rodolfo Joel Zevallos, Fabrício Carraro*2026*

**[GKnow: Measuring the Entanglement of Gender Bias and Factual Gender](https://md.research.elamur.ai/free/en/papers/veloso-2026-gknow-measuring-entanglement-gender-bias/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Leonor Veloso, Hinrich Schuetze*2026*

**[Gladiators at #SMM4H–HeaRD 2026: Multi-Seed XLM-RoBERTa Ensemble with Focal Loss and Per-Language Threshold Optimization for Multilingual Adverse Drug Event Detection](https://md.research.elamur.ai/free/en/papers/singh-2026-gladiators-smm4h-heard-2026-multi/) [Social Media Mining for Health Research and Applications Workshop and Shared Tasks](https://md.research.elamur.ai/free/en/venues/smm4h/)**Ankit Kumar Singh*2026*

**[Global vs. Local Sentence Embeddings for Brazilian Portuguese: Revisiting Monolingual Models in the Age of Foundation Models](https://md.research.elamur.ai/free/en/papers/peixoto-2026-global-vs-local-sentence-embeddings/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Matheus Peixoto, Guilherme Silva, Giacomo Figueredo, et al.*2026*

**[GlobLingDiv: A global dataset linking linguistic diversity and digital support to reveal landscapes with under-resourced languages for NLP](https://md.research.elamur.ai/free/en/papers/zeh-2026-globlingdiv-global-dataset-linking-linguistic/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Katharina Zeh, Hannes Essfors, Juliane Benson, et al.*2026*

**[GlossaGen: Making Academic Translation Smarter with Glossing](https://md.research.elamur.ai/free/en/papers/wang-2026-glossagen-making-academic-translation-smarter/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zixiao Wang, Duzhen Zhang, Juntian Zhang, et al.*2026*

**[Glossed Data in Northern Interior Salish](https://md.research.elamur.ai/free/en/papers/stacey-2026-glossed-data-northern-interior-salish/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anna Stacey*2026*

**[GlossMATE: Multi-Agent Translator Explanations for Glosses](https://md.research.elamur.ai/free/en/papers/yang-2026-glossmate-multi-agent-translator-explanations/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Changbing Yang, Patrick Littell, Gabriel Bernier-Colborne, et al.*2026*

**[GOAT: A Training Framework for Goal-Oriented Agent with Tools](https://md.research.elamur.ai/free/en/papers/min-2026-goat-training-framework-goal-oriented/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hyunji Min, Sangwon Jung, Junyoung Sung, et al.*2026*

**[Gold Label Errors in the SciFact Benchmark: An LLM-Assisted Annotation Audit](https://md.research.elamur.ai/free/en/papers/sylvestre-2026-gold-label-errors-scifact-benchmark/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Julien Sylvestre*2026*

**[Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/mei-2026-good-reasoning-makes-good-demonstrations/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tiehua Mei, Minxuan Lv, Leiyu Pan, et al.*2026*

**[GoViG: Goal-Conditioned Visual Navigation Instruction Generation via Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-govig-goal-conditioned-visual-navigation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fengyi Wu, Yifei Dong, Yilong Dai, et al.*2026*

**[GPT-NL Public Corpus: A Permissively Licensed, Dutch-First Dataset for LLM Pre-training](https://md.research.elamur.ai/free/en/papers/oort-2026-gpt-nl-public-corpus-permissively/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jesse J. Van Oort, Frank Brinkkemper, Erik de Graaf, et al.*2026*

**[GQLBench: A Large-Scale Cross-Domain, Cross-Dialect Benchmark for NL2GQL](https://md.research.elamur.ai/free/en/papers/su-2026-gqlbench-large-scale-cross-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yanning Su, Yuhang Zhou, Yang Fang, et al.*2026*

**[GR1: Reinforcement-Enhanced LLM for Geoscience Reasoning](https://md.research.elamur.ai/free/en/papers/xie-2026-gr1-reinforcement-enhanced-llm-geoscience/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yule Xie, Jiaxin Ding, Cheng Deng, et al.*2026*

**[GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-grace-generative-approach-better-confidence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaohan Zhang, Ziquan Liu, Ioannis Patras*2026*

- [GradeLegal: Automated Grading for German Legal Cases arXiv:2605.21076](https://md.research.elamur.ai/free/en/papers/zubaer-2026-gradelegal-automated-grading-german-legal/) — Abdullah Al Zubaer, Lorenz Wendlinger, Simon Alexander Nonn, et al. · 2026

**[Gradient Descenders at SemEval-2026 Task 9: Data-Centric Counterfactual Augmentation for Multi-Label Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/nhan-2026-gradient-descenders-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Tran Phuoc Thanh Nhan, Dang Van Thin*2026*

**[Gradient-Guided Multi-Judge Prompt Optimization](https://md.research.elamur.ai/free/en/papers/zhao-2026-gradient-guided-multi-judge-prompt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**ChenZhuo Zhao, Xinda Wang, Pu Zhao, et al.*2026*

**[Graduating the Benchmark Scale: Lessons from Thermometry](https://md.research.elamur.ai/free/en/papers/trott-2026-graduating-benchmark-scale-lessons-thermometry/) [Workshop on Evaluating Evaluations (EvalEval)](https://md.research.elamur.ai/free/en/venues/evaleval/)**Sean Trott, Oisín Parkinson-Coombs*2026*

**[Grammar Search for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/singh-2026-grammar-search-multi-agent-systems/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, et al.*2026*

- [Grammatical generalizations and item-specific listing in Hebrew transitivity alternations](https://md.research.elamur.ai/free/en/papers/katz-2026-grammatical-generalizations-item-specific-listing/) — Yuval Z. Katz · Modern Hebrew

**[Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations](https://md.research.elamur.ai/free/en/papers/luo-2026-graph-assisted-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haitong Luo, Fali Wang, Weiyao Zhang, et al.*2026*

**[Graph-Augmented LLMs for Swiss MP Ideology Prediction](https://md.research.elamur.ai/free/en/papers/yuan-2026-graph-augmented-llms-swiss-mp/) [Edition of the Swiss Text Analytics Conference](https://md.research.elamur.ai/free/en/venues/swisstext/)**Yifei Yuan, Luis Salamanca, Sophia Schlosser, et al.*2026*

**[Graph-Based Alternatives to LLMs for Human Simulation](https://md.research.elamur.ai/free/en/papers/suh-2026-graph-based-alternatives-llms-human/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joseph Suh, Suhong Moon, Serina Chang*2026*

**[Graph-Based Phonetic Error Correction of Noisy ASR](https://md.research.elamur.ai/free/en/papers/singh-2026-graph-based-phonetic-error-correction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pratik Rakesh Singh, Mohammadi Zaki, Aneesh Mukkamla, et al.*2026*

**[GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis](https://md.research.elamur.ai/free/en/papers/tan-2026-graphdx-cost-aware-knowledge-enhanced/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shaoting Tan, Ning Liu, Yuntao Du, et al.*2026*

**[GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation](https://md.research.elamur.ai/free/en/papers/mu-2026-graphlora-structure-aware-low-rank/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lin Mu, Guoji Wang, Li Ni, et al.*2026*

**[GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-Making](https://md.research.elamur.ai/free/en/papers/shin-2026-graphmind-llms-as-dynamic-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sunguk Shin, Hayeong Lee, Jun Ho Seo, et al.*2026*

**[GraphRAG-Rad: Concept-Aware Radiology Report Generation via Latent Visual-Semantic Retrieval](https://md.research.elamur.ai/free/en/papers/safari-2026-graphrag-rad-concept-aware-radiology/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Faezeh Safari, Hang Dong, Zeyu Fu, et al.*2026*

**[GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-grasprune-global-gating-budgeted-structured/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, et al.*2026*

**[GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning](https://md.research.elamur.ai/free/en/papers/tian-2026-grass-gradient-based-adaptive-layer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaiyuan Tian, Linbo Qiao, Yu Tang, et al.*2026*

**[GreekCommonGen: A Benchmark for Evaluating Generative Commonsense Reasoning in Greek](https://md.research.elamur.ai/free/en/papers/stamopoulos-2026-greekcommongen-benchmark-evaluating-generative-commonsense/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Aristotelis Stamopoulos, Dimitrios Galanis*2026*

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