---
title: "Artificial Intelligence — papers, page 71"
description: "Artificial Intelligence: 7,180 papers of the Elamur Research library · page 71 of 73 · 6926–7025, the most cited first — our summary of each, its ideas…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/71/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/71/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / [Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) / page 71

# 🤖 Artificial Intelligence

7,180 papers · page 71 of 73 · 6926–7025 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial Intelligence is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Speech and dialogue systems».

## Papers

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/70/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [70](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/70/) **71** [72](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/72/) [73](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/73/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/72/)

6926. [**Variation Is the Norm: Embracing Sociolinguistics in NLP**Anne-Marie Lutgen, Alistair Plum, Verena Blaschke, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lutgen-2026-variation-is-norm-embracing-sociolinguistics/)
6927. [**ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset & Benchmark**Tung X. Nguyen, Nhu Vo, Giang-Son Nguyen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vimedcss-vietnamese-medical-code-switching/)
6928. [**Voice Activation Detection for Transcription of Indigenous Languages**Rolando Coto-Solano, Mikaela Browning, Thomas Corrado, et al.*2026*](https://md.research.elamur.ai/free/en/papers/solano-2026-voice-activation-detection-transcription-indigenous/)
6929. [**VUPMC: A New Political Metaphor Corpus in Mandarin Chinese**Xiaojuan Tan*2026*](https://md.research.elamur.ai/free/en/papers/tan-2026-vupmc-new-political-metaphor-corpus/)
6930. [**What Are LLMs Doing to Scientific Communication? Measuring Changes in Writing Practices and Reading Experience**Filip Miletić, Neele Falk*2026*](https://md.research.elamur.ai/free/en/papers/miletic-2026-what-are-llms-doing-scientific/)
6931. [**What Brain Data Adds to Language Model Training**Gabriele Merlin, Omer Moussa, Mariya Toneva*2026*](https://md.research.elamur.ai/free/en/papers/merlin-2026-what-brain-data-adds-language/)
6932. [**What Kind of Language is Easy to Language-Model Under Curriculum Learning?**Nadine El-Naggar, Tatsuki Kuribayashi, Ted Briscoe*2026*](https://md.research.elamur.ai/free/en/papers/naggar-2026-what-kind-language-is-easy/)
6933. [**What's in a Bridge?: A Descriptive, Multi-Genre Analysis of the GUMBridge Corpus for Varieties of Bridging Anaphora**Lauren Levine, Amir Zeldes*2026*](https://md.research.elamur.ai/free/en/papers/levine-2026-what-s-bridge-descriptive-multi/)
6934. [**When Numbers Tell Half the Story: Human-Metric Alignment in Topic Model Evaluation**Thibault Prouteau, Francis Lareau, Nicolas Dugue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/prouteau-2026-when-numbers-tell-half-story/)
6935. [**When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates**Junhong Liang, Noor Abo Mokh, Bashar Alhafni*2026*](https://md.research.elamur.ai/free/en/papers/liang-2026-similar-means-different-evaluating-llms/)
6936. [**When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents**Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/)
6937. [**When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue**Mohammad Alijanpour Shalmani, Alale Rezvani Boroujeni, Jiann S. Yuan*2026*](https://md.research.elamur.ai/free/en/papers/shalmani-2026-when-database-fails-prompting-llm/)
6938. [**When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/)
6939. [**When Words Don't Mean What They Say: Figurative Understanding in Bengali Idioms**Adib Sakhawat, Shamim Ara Parveen, Md Ruhul Amin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sakhawat-2026-when-words-don-t-mean/)
6940. [**Which Way Does Time Flow? A Psychophysics-Grounded Evaluation for Vision–Language Models**Shiho Matta, Lis Kanashiro Pereira, Peitao Han, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matta-2026-which-way-does-time-flow/)
6941. [**Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM Judges**Anuradha Welivita, Fawzia Zeitoun, Pearl Pu*2026*](https://md.research.elamur.ai/free/en/papers/welivita-2026-who-generates-more-empathetic-responses/)
6942. [**Whose Pragmatics? Cultural Grounding as a Bottleneck for Stereotype Detection in Egyptian Arabic Social Media**Samar A. Assem*2026*](https://md.research.elamur.ai/free/en/papers/assem-2026-whose-pragmatics-cultural-grounding-as/)
6943. [**Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation**Shenbin Qian, Yves Scherrer*2026*](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/)
6944. [**Wiktionary as a Crowdsourced Lexicon for English Dialects**Sidney Wong*2026*](https://md.research.elamur.ai/free/en/papers/wong-2026-wiktionary-crowdsourced-lexicon-english-dialects/)
6945. [**Word predictability estimates from language models are not robust to tokenizer vocabulary**Kien Nguyen, Suhas Arehalli*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-word-predictability-estimates-language-models/)
6946. [**YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models**Mahmoud Reda, Salam Khalifa, Reham Marzouk, et al.*2026*](https://md.research.elamur.ai/free/en/papers/reda-2026-yallamorph-benchmark-evaluating-arabic-morphological/)
6947. [**Yeswa-Stories: A Three-Way Parallel Dataset of Female African Figures in Low-Web Data Languages**Bethelhem Mamo, Hellina Nigatu*2026*](https://md.research.elamur.ai/free/en/papers/mamo-2026-yeswa-stories-three-way-parallel/)
6948. [**ZIP: Quantifying Which Words Matter in Zero-Shot Instructional Prompts**Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sadr-2026-zip-quantifying-which-words-matter/)
6949. [**“Decode the Law”: Towards Legal Text Simplification with Large Language Models**Mohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rabbani-2026-decode-law-legal-text-simplification/)
6950. [**A New Hebrew Universal Dependency Treebank: The First Treebank of Post-Rabbinic Historical Hebrew**Rachel Tal, Shlomit Fuchs, Orly Albeck, et al.*2025*](https://md.research.elamur.ai/free/en/papers/tal-2025-new-hebrew-universal-dependency-treebank/)
6951. [**A Survey of Semantic Representation Methods for Natural Language Understanding (面向自然语言理解的语义表示方法综述)**Xiang Zhang (张翔), Shizhu He (何世柱), Yuanzhe Zhang (张元哲), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-semantic-representation-methods/)
6952. [**A Survey of Simultaneous Translation (实时翻译研究综述)**Shaolei Zhang (张绍磊), Yang Feng (冯洋)*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-simultaneous-translation/)
6953. [**A Synergetic LLM-KG Framework for Cross-Domain Heterogeneous Data Query (大语言模型和知识图谱协同的跨域异质数据查询框架)**Wenlong Wu (吴文隆), Hailian Yin (尹海莲), Ning Wang (王宁), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wu-2025-synergetic-llm-kg/)
6954. [**A-SEA3L-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation**Kesen Wang, Daulet Toibazar, Pedro J. Moreno*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-sea3l-qa-fully-automated-self/)
6955. [**AI-Driven Generation of Old English: A Framework for Low-Resource Languages**Rodrigo Gabriel Salazar Alva, Matias Nunez, Cristian Lopez, et al.*2025*](https://md.research.elamur.ai/free/en/papers/alva-2025-ai-driven-generation-old-english/)
6956. [**ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text Detection**Ali Khairallah, Arkaitz Zubiaga*2025*](https://md.research.elamur.ai/free/en/papers/khairallah-2025-alhd-large-scale-multigenre-benchmark/)
6957. [**An Empirical Study of Chinese Entity Linking Based on Large Language Model (基于大语言模型的中文实体链接实证研究)**Zhengfei Xu (徐正斐), Xin Xin (辛欣)*2025*](https://md.research.elamur.ai/free/en/papers/xu-2025-empirical-study-chinese/)
6958. [**An Information-Theoretic Approach to Identifying Formulaic Clusters in Textual Data**Gideon Yoffe, Yair Segev, Barak Sober*2025*](https://md.research.elamur.ai/free/en/papers/yoffe-2025-information-theoretic-approach-identifying-formulaic/)
6959. [**Annotating the French Wiktionary with supersenses for large scale lexical analysis: a use case to assess form-meaning relationships within the nominal lexicon**Nicolas Angleraud, Lucie Barque, Marie Candito*2025*](https://md.research.elamur.ai/free/en/papers/angleraud-2025-french-wiktionary-supersenses/)
6960. [**Arabic Hate Speech Identification and Masking in Social Media using Deep Learning Models and Pre-trained Models Fine-tuning**Salam Thabet Doghmash, Motaz Saad*2025*](https://md.research.elamur.ai/free/en/papers/doghmash-2025-arabic-hate-speech-identification-masking/)
6961. [**Arabic Metaphor Sentiment Classification Using Semantic Information**Israa Alsiyat*2025*](https://md.research.elamur.ai/free/en/papers/alsiyat-2025-arabic-metaphor-sentiment-classification-using/)
6962. [**AraToken: Optimizing Arabic Tokenization with Normalization Pipeline and Language Extension for Qwen3**Mark Kashirskiy, Artiom Lipinski, Ilya Makarov*2025*](https://md.research.elamur.ai/free/en/papers/kashirskiy-2025-aratoken-optimizing-arabic-tokenization-normalization/)
6963. [**ArbESC+: Arabic Enhanced Edit Selection System Combination for Grammatical Error Correction Resolving conflict and improving system combination in Arabic GEC**Ahlam Alrehili, Areej Alhothali*2025*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-arbesc-arabic-enhanced-edit-selection/)
6964. [**ArFake: A Robust Framework for Multi-Dialect Arabic Speech Spoofing Detection Benchmark**Mohamed Elsetohy, Alhassan Ehab, Ali Mekky, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elsetohy-2025-arfake-robust-framework-multi-dialect/)
6965. [**ASC analyzer: A Python package for measuring argument structure construction usage in English texts**Hakyung Sung, Kristopher Kyle*2025*](https://md.research.elamur.ai/free/en/papers/sung-2025-asc-analyzer-python-package-measuring/)
6966. [**Assessing the Agreement Competence of Large Language Models**Alba Táboas García, Leo Wanner*2025*](https://md.research.elamur.ai/free/en/papers/garcia-2025-assessing-agreement-competence-large-language/)
6967. [**Benchmarking the Performance of Chinese Large Language Models for Abstractive Text Summarization (中文大模型生成式摘要能力评估)**Junchao Wang (王俊超), Kehan Fan (樊可汗), Zhiheng Huo (霍智恒)*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-benchmarking-performance-chinese/)
6968. [**Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction**Kai Golan Hashiloni, Brenda Kasabe Nokai, Michal Shevach, et al.*2025*](https://md.research.elamur.ai/free/en/papers/hashiloni-2025-building-patient-journeys-hebrew-language/)
6969. [**Chinese Parallelism Generation Based on Part-of-Speech Alignment and Dependency Relation (基于词性对齐与依存关系的中文排比句生成方法)**Maosheng Zhong (钟茂生), Lei Liu (刘蕾), Ruping Wu (吴如萍), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhong-2025-chinese-parallelism-generation/)
6970. [**Cognate Detection for Historical Language Reconstruction of Proto-Sabean Languages: the Case of Ge'ez, Tigrinya, and Amharic**Elleni Sisay Temesgen, Hellina Hailu Nigatu, Fitsum Assamnew Andargie*2025*](https://md.research.elamur.ai/free/en/papers/temesgen-2025-cognate-detection-historical-language-reconstruction/)
6971. [**Dhati+: Fine-tuned Large Language Models for Arabic Subjectivity Evaluation**Slimane Bellaouar, Attia Nehar, Soumia Souffi, et al.*2025*](https://md.research.elamur.ai/free/en/papers/bellaouar-2025-dhati-fine-tuned-large-language/)
6972. [**Domain-Adaptive Pre-Training for Arabic Aspect-Based Sentiment Analysis: A Comparative Study of Domain Adaptation and Fine-Tuning Strategies**Salha Alyami, Amani Jamal, Areej Alhothali*2025*](https://md.research.elamur.ai/free/en/papers/alyami-2025-domain-adaptive-pre-training-arabic/)
6973. [**Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)**Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-embodied-intelligence-systems/)
6974. [**Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition**Ayhan Kucukmanisa, Derya Gelmez, Sukru Selim Calik, et al.*2025*](https://md.research.elamur.ai/free/en/papers/kucukmanisa-2025-enhancing-quranic-learning-multimodal-deep/)
6975. [**Evaluating the Performance of Transformers in Translating Low-Resource Languages through Akkadian**Daniel A. Jones, Ruslan Mitkov*2025*](https://md.research.elamur.ai/free/en/papers/jones-2025-evaluating-performance-transformers-translating-low/)
6976. [**Evaluation on Chinese Multiturn Instruction Following Capability of Large Language Models (大语言模型的中文多轮指令遵循能力评测研究)**Qin Zhu (朱秦), Junliang He (何俊亮), Xipeng Qiu (邱锡鹏), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhu-2025-evaluation-chinese-multiturn/)
6977. [**Exploring Author Style in Nakba Short Stories: A Comparative Study of Transformer-Based Models**Osama Hamed, Nadeem Zaidkilani*2025*](https://md.research.elamur.ai/free/en/papers/hamed-2025-exploring-author-style-nakba-short/)
6978. [**Exploring Coreference Resolution in Glosses of German Sign Language**Yuzheng Bao, Haixia Chai*2025*](https://md.research.elamur.ai/free/en/papers/bao-2025-exploring-coreference-resolution-glosses-german/)
6979. [**Fine Tuning Methods for Large Language Models: A Survey (大语言模型微调方法研究综述)**Chunzhi Wu (吴春志), Yulong Zhao (赵玉龙), Xin Liu (刘鑫), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wu-2025-fine-tuning-methods/)
6980. [**From Human Preference to Autonomous Alignment: A Survey of Large Language Model Alignment (从人类偏好到自主对齐: 大语言模型对齐方法综述)**Shihan Dou (窦士涵), Ming Zhang (张明), Xuanjing Huang (黄萱菁), et al.*2025*](https://md.research.elamur.ai/free/en/papers/dou-2025-human-preference-autonomous/)
6981. [**Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease**Zvi Badash; Hadas Ben-Atya; Naama Gavrielov; Liam Hazan; Gili Focht; Ruth Cytter-Kuint; Talar Hagopian; Dan Turner;, Moti Freiman*2025*](https://md.research.elamur.ai/free/en/papers/badash-2025-hierarchical-section-matching-prediction-hsmp/)
6982. [**Huaputong: Large Language Model for Genealogical Question-answering with Knowledge Reasoning (华谱通: 基于知识推理的家谱问答大语言模型)**Xindong Wu (吴信东), Xingrui Zhuo (卓兴锐), Yongpan Chang (常永泮), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wu-2025-huaputong-large-language/)
6983. [**Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings**Ghazal Al-Shwayyat, Omer Nezih Gerek*2025*](https://md.research.elamur.ai/free/en/papers/al-shwayyat-2025-hybrid-deep-learning-signal-processing/)
6984. [**Integrating Semantic and Statistical Features for Authorial Clustering of Qumran Scrolls**Yonatan Lourie, Jonathan Ben-Dov, Roded Sharan*2025*](https://md.research.elamur.ai/free/en/papers/lourie-2025-integrating-semantic-statistical-features-authorial/)
6985. [**Irony Detection in Hebrew Documents: A Novel Dataset and an Evaluation of Neural Classification Methods**Avi Shmidman, Elda Weizman, Avishay Gerczuk*2025*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-irony-detection-hebrew-documents-novel/)
6986. [**Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs**William Sheffield, Kanishka Misra, Valentina Pyatkin, et al.*2025*](https://md.research.elamur.ai/free/en/papers/sheffield-2025-is-it-textit-just-semantics/)
6987. [**Leveraging AI to Bridge Classical Arabic and Modern Standard Arabic for Text Simplification**Shatha Altammami*2025*](https://md.research.elamur.ai/free/en/papers/altammami-2025-leveraging-ai-bridge-classical-arabic/)
6988. [**Lexicon-Enriched Graph Modeling for Arabic Document Readability Prediction**Passant Elchafei, Mayar Osama, Mohamed Rageh, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elchafei-2025-lexicon-enriched-graph-modeling-arabic/)
6989. [**LingLong: A High-Quality Small-Scale Chinese Pre-trained Language Model (玲珑：一个小规模的高质量中文预训练语言模型)**Dongwen Li (李东闻), Zhenyu Zhong (钟震宇), Yufei Sun (孙羽菲), et al.*2025*](https://md.research.elamur.ai/free/en/papers/li-2025-linglong-high-quality/)
6990. [**Modelling French readability for adults with low literacy (Modélisation de la lisibilité en français pour les personnes en situation d'illettrisme)**Wafa Aissa, Thibault Bañeras-Roux, Elodie Vanzeveren, et al.*2025*](https://md.research.elamur.ai/free/en/papers/aissa-2025-modelisation-de-la-lisibilite-en/)
6991. [**Mubeen AI: A Specialized Arabic Language Model for Heritage Preservation and User Intent Understanding**Mohammed Aljafari, Ismail Alturki, Ahmed Mori, et al.*2025*](https://md.research.elamur.ai/free/en/papers/aljafari-2025-mubeen-ai-specialized-arabic-language/)
6992. [**MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation**Kareem Elozeiri, Mervat Abassy, Preslav Nakov, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elozeiri-2025-mudric-multi-dialect-reasoning-arabic/)
6993. [**NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel*2025*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-neodictabert-pushing-frontier-bert-models/)
6994. [**Niyamika at BHASHA Task 1: Word-Level Transliteration for English-Hindi Mixed Text in Grammar Correction Using MT5**Rucha Ambaliya, Mahika Dugar, Pruthwik Mishra*2025*](https://md.research.elamur.ai/free/en/papers/ambaliya-2025-niyamika-bhasha-task-1-word/)
6995. [**Nojoom.AI at AraGenEval Shared Task: Arabic Authorship Style Transfer**Hafsa Kara Achira, Mourad Bouache, Mourad Dahmane*2025*](https://md.research.elamur.ai/free/en/papers/achira-2025-nojoom-ai-arageneval-shared-task/)
6996. [**Parsing of Passive Structure in Chinese and Its Application in CAMR (汉语被动结构解析及其在CAMR中的应用研究)**Kang Hu (胡康), Weiguang Qu (曲维光), Tingxin Wei (魏庭新), et al.*2025*](https://md.research.elamur.ai/free/en/papers/hu-2025-parsing-passive-structure/)
6997. [**Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource Task**Maged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad*2025*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2025-poem-meter-classification-recited-arabic/)
6998. [**Positive and Negative Chain-of-Thoughts Based Question Answering Method for Table-Text Financial Data (基于正负例思维链的表格-文本混合金融数据自动问答方法)**Xi Li (李希), Xiping Liu (刘喜平), Qing Shu (舒晴), et al.*2025*](https://md.research.elamur.ai/free/en/papers/li-2025-positive-negative-chain/)
6999. [**Proceedings of the Second International Workshop on Construction Grammars and NLP***2025*](https://md.research.elamur.ai/free/en/papers/anon-2025-proceedings-second-international-workshop-construction/)
7000. [**Research Progress on Large Models for Edge Intelligence (面向边缘智能的大模型研究进展)**Rui Wang (王睿), Liuyang Zhang (张留洋), Zhiyong Gao (高志涌), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-large-models-edge/)
7001. [**Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution**Tatiana Anikina, Arne Binder, David Harbecke, et al.*2025*](https://md.research.elamur.ai/free/en/papers/anikina-2025-reverse-probing-evaluating-knowledge-transfer/)
7002. [**Robustness Evaluation of ChatGPT Against Chinese Adversarial Attacks (中文对抗攻击下的ChatGPT鲁棒性评估)**Yunting Zhang (张云婷), Lin Ye (叶麟), Baisong Li (李柏松), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-robustness-evaluation-chatgpt/)
7003. [**Rule-based Surface Realization of Romanian Weak Pronouns**Ciprian Gerstenberger*2025*](https://md.research.elamur.ai/free/en/papers/gerstenberger-2025-rule-based-surface-realization-romanian/)
7004. [**Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques**Lang Xiong, Raina Gao, Alyssa Jeong*2025*](https://md.research.elamur.ai/free/en/papers/xiong-2025-sarc7-evaluating-sarcasm-detection-generation/)
7005. [**Scaling Arabic Medical Chatbots Using Synthetic Data: Enhancing Generative AI with Synthetic Patient Records**Abdulrahman Allam, Seif Ahmed, Ali Hamdi, et al.*2025*](https://md.research.elamur.ai/free/en/papers/allam-2025-scaling-arabic-medical-chatbots-using/)
7006. [**Self-Guide: Enhancing LLM Reasoning Ability via Self-Planning (Self-Guide:一种基于自我规划的大语言模型推理增强方法)**Yibin Liu (刘艺彬), Zhenghao Liu (刘正皓), Yukun Yan (闫宇坤), et al.*2025*](https://md.research.elamur.ai/free/en/papers/liu-2025-self-guide-enhancing/)
7007. [**Semitic Root Encoding: Tokenization Based on the Templatic Morphology of Semitic Languages in NMT**Brendan T. Hatch, Stephen D. Richardson*2025*](https://md.research.elamur.ai/free/en/papers/hatch-2025-semitic-root-encoding-tokenization-based/)
7008. [**Sentence Alignment of Ancient and Modern Chinese Based on Reinforcement Learning (基于强化学习的古今汉语句子对齐研究)**Kuai Yu (喻快), Yanqiu Shao (邵艳秋), Wei Li (李炜)*2025*](https://md.research.elamur.ai/free/en/papers/yu-2025-sentence-alignment-ancient/)
7009. [**SmolKalam: Ensemble Quality-Filtered Translation at Scale for High Quality Arabic Post-Training Data**Sultan Alrashed, Chadi Helwe, Francesco Orabona*2025*](https://md.research.elamur.ai/free/en/papers/alrashed-2025-smolkalam-ensemble-quality-filtered-translation/)
7010. [**Survey of Adversarial Attacks and Defenses for Large Language Models (大语言模型对抗性攻击与防御综述)**Jianwei Tai (台建玮), Shuangning Yang (杨双宁), Jiajia Wang (王佳佳), et al.*2025*](https://md.research.elamur.ai/free/en/papers/tai-2025-adversarial-attacks-defenses/)
7011. [**Survey of Large-Language-Model-Based Automated Program Repair (基于大语言模型的自动代码修复综述)**Pengyu Xu (许鹏宇), Boyu Kuang (况博裕), Mang Su (苏铓), et al.*2025*](https://md.research.elamur.ai/free/en/papers/xu-2025-large-language-model/)
7012. [**Survey of Storage Optimization Techniques in Large Language Model Inference (大语言模型推理中的存储优化技术综述)**Xuran Ge (葛旭冉), Yang Ou (欧洋), Bo Wang (王博), et al.*2025*](https://md.research.elamur.ai/free/en/papers/ge-2025-storage-optimization-techniques/)
7013. [**Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)**Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zheng-2025-tool-use-large/)
7014. [**Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)**Quanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-application-retrieval-augmented/)
7015. [**Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)**Yihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.*2025*](https://md.research.elamur.ai/free/en/papers/dong-2025-code-generation-llm/)
7016. [**Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/)
7017. [**Survey on System Optimization for Mixture of Experts in the Era of Large Models (大模型时代的混合专家系统优化综述)**Hongzhi Shi (史宏志), Jian Zhao (赵健), Yaqian Zhao (赵雅倩), et al.*2025*](https://md.research.elamur.ai/free/en/papers/shi-2025-system-optimization-mixture/)
7018. [**The Role of PropBank Sense IDs in AMR-to-text Generation and Text-to-AMR Parsing**Thu Hoang, Mina Yang, Shira Wein*2025*](https://md.research.elamur.ai/free/en/papers/hoang-2025-role-propbank-sense-ids-amr/)
7019. [**The UD-NewsCrawl Treebank: Reflections and Challenges from a Large-scale Tagalog Syntactic Annotation Project**Angelina Aspra Aquino, Lester James Validad Miranda, Elsie Marie T. Or*2025*](https://md.research.elamur.ai/free/en/papers/aquino-2025-ud-newscrawl-treebank-reflections-challenges/)
7020. [**Towards stable AI systems for Evaluating Arabic Pronunciations**Hadi Zaatiti, Hatem Hajri, Osama Abdullah, et al.*2025*](https://md.research.elamur.ai/free/en/papers/zaatiti-2025-towards-stable-ai-systems-evaluating/)
7021. [**Uncovering Conspiratorial Narratives within Arabic Online Content**Djamila Mohdeb, Meriem Laifa, Zineb Guemraoui, et al.*2025*](https://md.research.elamur.ai/free/en/papers/mohdeb-2025-uncovering-conspiratorial-narratives-within-arabic/)
7022. [**Visual Representations of Temporal Relations between Events and Time Expressions in News Stories**Evelin Amorim, António Leal, Nana Yu, et al.*2025*](https://md.research.elamur.ai/free/en/papers/amorim-2025-visual-representations-temporal-relations-between/)
7023. [**Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal Corpora**Khalil Hennara; Ahmad Bastati; Muhammad Hreden; Mohamed Motasim Hamed; Zeina Aldallal; Sara Chrouf;, Safwan AlModhayan*2025*](https://md.research.elamur.ai/free/en/papers/hennara-2025-wasm-pipeline-constructing-structured-arabic/)
7024. [**A Pre-trained Universal Knowledge Graph Reasoning Model Based on Rule Prompts (基于规则提示的知识图谱通用推理预训练模型)**Yuanning Cui (崔员宁), Zequn Sun (孙泽群), Wei Hu (胡伟)*2024*](https://md.research.elamur.ai/free/en/papers/cui-2024-pre-trained-universal/)
7025. [**A Survey of Chinese Large Language Models in Medicine: Progress, Evaluation and Challenges (中文医疗大模型综述: 进展、评估与挑战)**Xinmeng Ji (籍欣萌), Hongying Zan (昝红英), Tingting Cui (崔婷婷), et al.*2024*](https://md.research.elamur.ai/free/en/papers/ji-2024-chinese-large-language/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/70/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [70](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/70/) **71** [72](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/72/) [73](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/73/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/72/)
