---
title: "Artificial Intelligence — papers, page 69"
description: "Artificial Intelligence: 7,180 papers of the Elamur Research library · page 69 of 73 · 6726–6825, the most cited first — our summary of each, its ideas…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/69/"
---
[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/69/)

[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 69

# 🤖 Artificial Intelligence

7,180 papers · page 69 of 73 · 6726–6825 · 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/68/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [68](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/68/) **69** [70](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/70/) … [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/70/)

6726. [**Multilingual Target-Stance Extraction**Ethan Leigh Mines, Bonnie J. Dorr*2026*](https://md.research.elamur.ai/free/en/papers/mines-2026-multilingual-target-stance-extraction/)
6727. [**Multimodal LLMs Do Not Compose Skills Optimally across Modalities**Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune*2026*](https://md.research.elamur.ai/free/en/papers/ontalvilla-2026-multimodal-llms-do-not-compose/)
6728. [**MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset**Serry Sibaee, Yasser Alhabashi, Nadia Sibai, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sibaee-2026-murad-large-scale-multi-domain/)
6729. [**MUSIA: Multilingual Story Illustration Corpus for Cross-Cultural Alignment and Generation**Krishna Tewari, Supriya Chanda, Nirmit Patil, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tewari-2026-musia-multilingual-story-illustration-corpus/)
6730. [**MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages**Anri M. Lombard, Simbarashe Mawere, Temi Aina, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lombard-2026-mzansitext-mzansilm-open-corpus-decoder/)
6731. [**Named Entity Recognition for Persian Literary Text: A Case Study on The Little Prince**Minoo Nassajian, Joakim Nivre, Daniel Zeman*2026*](https://md.research.elamur.ai/free/en/papers/nassajian-2026-named-entity-recognition-persian-literary/)
6732. [**NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language Inference**Matheus Westhelle, Viviane Moreira*2026*](https://md.research.elamur.ai/free/en/papers/westhelle-2026-negnli-br-brazilian-portuguese-benchmark/)
6733. [**Nepali Lemmatization with Multilingual Transformers: Intrinsic and Extrinsic Evaluation in a Low-Resource Setting**Sunil Regmi, Sundeep Dawadi, Bal Krishna Bal*2026*](https://md.research.elamur.ai/free/en/papers/regmi-2026-nepali-lemmatization-multilingual-transformers-intrinsic/)
6734. [**NITI: Neural Plan Concretization for Incremental Execution, Bridging and Trigger Inference from Underspecified Human Policies**Ayan Banerjee, Shomrik Barua Banerjee, Sandeep Gupta*2026*](https://md.research.elamur.ai/free/en/papers/banerjee-2026-niti-neural-plan-concretization-incremental/)
6735. [**Nos_Brais-GL: A FAIR Galician TTS Corpus for Neural Speech Synthesis**Adina Ioana Vladu, Antonio Moscoso Sánchez, Carmen Magariños, et al.*2026*](https://md.research.elamur.ai/free/en/papers/vladu-2026-nos-brais-gl-fair-galician/)
6736. [**NRD: A Hybrid Disentanglement Framework for Mitigating Interference in Multilingual Machine Translation**Jiarui Zhang, Yifan Deng*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-nrd-hybrid-disentanglement-framework-mitigating/)
6737. [**Nuha-Speech: Building General-Purpose Arabic Speech-LLMs**Yingzhi Wang, Reem Alhazzani, Muhammad Alqurishi*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-nuha-speech-building-general-purpose/)
6738. [**OasisSimp: An Open-source Asian-English Sentence Simplification Dataset**Hannah Liu, Murphy Tian, Iqra Ali, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-oasissimp-open-source-asian-english/)
6739. [**Obscuring Data Contamination Through Translation: Evidence from Arabic Corpora**Chaymaa Abbas, Nour Shamaa, Mariette Awad*2026*](https://md.research.elamur.ai/free/en/papers/abbas-2026-obscuring-data-contamination-through-translation/)
6740. [**On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation**Weichuan Wang, Mingyang Liu, Chen Ma, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/)
6741. [**On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua Collao**Pool Pocco, Arturo Oncevay*2026*](https://md.research.elamur.ai/free/en/papers/pocco-2026-robustness-morphosyntactic-transformation-large-language/)
6742. [**On the Structure of Address in Multi-Party Dialogue: From Discrete Labels to Continuous Levels**Taiga Mori, Koji Inoue, Divesh Lala, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mori-2026-structure-address-multi-party-dialogue/)
6743. [**On the Use of LLMs for Specialised Terminology: A Good Alternative to Corpora?**Joachim Minder, Guillaume Wisniewski, Natalie Kübler*2026*](https://md.research.elamur.ai/free/en/papers/minder-2026-use-llms-specialised-terminology-good/)
6744. [**One Size Does Not Fit All: Why EU Legislative Translation Demands Domain-Specific Fine-Tuning of LLMs**Valerio Lorini, Paula Vlaic, Ulascan Akbulut, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lorini-2026-one-size-does-not-fit/)
6745. [**One Word Is Not Enough: Simple Prompts Improve Word Embeddings**Rajeev Ranjan*2026*](https://md.research.elamur.ai/free/en/papers/ranjan-2026-one-word-is-not-enough/)
6746. [**Onomasiological Sense Alignment Across Dialect Dictionaries. A Taxonomy-Constrained LLM Classification**Nathalie Mederake, Nico Urbach, Hanna Fischer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mederake-2026-onomasiological-sense-alignment-across-dialect/)
6747. [**Ontology-Graph Dual-Agent Reinforcement Learning Method for Temporal Knowledge Graph Reasoning (面向时序知识图谱推理的本体-图谱双智能体强化学习方法)**Yuehang Si (司悦航), Zefan Zeng (曾泽凡), Boyan Wang (王博岩), et al.*2026*](https://md.research.elamur.ai/free/en/papers/si-2026-ontology-graph-dual/)
6748. [**Open English NameNet: Extending English Wordnet with Names**John P. McCrae*2026*](https://md.research.elamur.ai/free/en/papers/mccrae-2026-open-english-namenet/)
6749. [**Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models**Gyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee*2026*](https://md.research.elamur.ai/free/en/papers/shin-2026-open-access-dataset-acceptability-ratings/)
6750. [**OpenSubtitles2024: A Massively Parallel Dataset of Movie Subtitles for MT Development and Evaluation**Joerg Tiedemann, Hengyu Luo*2026*](https://md.research.elamur.ai/free/en/papers/tiedemann-2026-opensubtitles2024-massively-parallel-dataset-movie/)
6751. [**Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language Models**Bryan E. Tuck, Rakesh Verma*2026*](https://md.research.elamur.ai/free/en/papers/tuck-2026-orthographic-constraint-satisfaction-human-difficulty/)
6752. [**PAIR: A Pilot Dataset for Dual Perspective-based Video-Grounded Dialogue and Reconciliation**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026*](https://md.research.elamur.ai/free/en/papers/watson-2026-pair-pilot-dataset-dual-perspective/)
6753. [**ParaCLEAN: Improving Translation Quality through Systematic Parallel Data Cleaning**Audrey Mash, Ella Paulina Bohman, Maite Melero*2026*](https://md.research.elamur.ai/free/en/papers/mash-2026-paraclean-improving-translation-quality-through/)
6754. [**Parallel Corpus Filtering Based on Semantic Similarity and Surface Dissimilarity for Japanese Text Simplification with LLMs**Daisuke Maekawa, Tomoyuki Kajiwara, Takashi Ninomiya*2026*](https://md.research.elamur.ai/free/en/papers/maekawa-2026-parallel-corpus-filtering-based-semantic/)
6755. [**Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement**Ziyue Yan, Hongying Zan, Xinglin Lyu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-paraphrasing-as-zero-shot-translation/)
6756. [**PARL: Prompt-based Agents for Reinforcement Learning**Yarik Menchaca Resendiz, Roman Klinger*2026*](https://md.research.elamur.ai/free/en/papers/resendiz-2026-parl-prompt-based-agents-reinforcement/)
6757. [**Parsing Arabic Dialects Revisited: New Benchmarks, Models, and Insights**Ahmed Farouk Zakaria Elshabrawy, Go Inoue, Muhammed AbuOdeh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/elshabrawy-2026-parsing-arabic-dialects-revisited-new/)
6758. [**PEI at #SMM4H-HeaRD 2026: Enhancing Patient Metadata Detection via Hypothesis-Conditioned Classification and Paraphrase-Based Data Augmentation**Farnaz Zeidi, Roman Christof, Farnoush Zeidi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeidi-2026-pei-smm4h-heard-2026-enhancing/)
6759. [**Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-Making**Katsumasa Yoshikawa, Junya Takayama, Takato Yamazaki*2026*](https://md.research.elamur.ai/free/en/papers/yoshikawa-2026-persona-aware-evaluation-cognitive-bias/)
6760. [**Persona-Conditioned Generation of Patient Self-Reports from EHRs**Yuexin Wu, Jianming Wei, Vasile Rus*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-persona-conditioned-generation-patient-self/)
6761. [**Phonetic-based Ranking for Improved Pseudo-Labeling in Low-Resource ASR**Marco Matassoni, Roberto Gretter, Falavigna Daniele, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matassoni-2026-phonetic-based-ranking-improved-pseudo/)
6762. [**Phonological Processes as Modal Transductions**Tatevik Yolyan, Jesse Comer*2026*](https://md.research.elamur.ai/free/en/papers/yolyan-2026-phonological-processes-as-modal-transductions/)
6763. [**PolyglotQL: A Pipeline for Multilingual Text-to-SPARQL Dataset Generation**Julio Perez, Fabio Barth, Georg Rehm*2026*](https://md.research.elamur.ai/free/en/papers/perez-2026-polyglotql-pipeline-multilingual-text-sparql/)
6764. [**Predict and Fix: A Unified Model for Translation Quality Estimation and Post-Editing**Maciej Modrzejewski, Yash Bhaskar, Chinmay Pateria*2026*](https://md.research.elamur.ai/free/en/papers/modrzejewski-2026-predict-fix-unified-model-translation/)
6765. [**Predicting States of Understanding in Explanatory Interactions Using Cognitive Load-Related Linguistic Cues**Yu Wang, Olcay Türk, Angela Grimminger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-predicting-states-understanding-explanatory-interactions/)
6766. [**Predicting Topic (Co-)Occurrence Using Topic Networks Built from the Project Gutenberg Corpus**Bhuvanesh Verma, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/verma-2026-predicting-topic-co-occurrence-topic/)
6767. [**PrePPER: A Preference Pattern-based Profiling Framework for Explainable Recommendation**Taisuke Usumi, Akiko Masaki, Sanae Muramatsu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/usumi-2026-prepper-preference-pattern-based-profiling/)
6768. [**Probing Discrete Speech Tokens of Spoken Language Models**Sven Naber, Julia Koch, Pranav Singh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naber-2026-probing-discrete-speech-tokens-spoken/)
6769. [**Probing the Attention Representation of Filler-Gap Dependency in Transformers**Ruoqing Yao, Pranav Anand*2026*](https://md.research.elamur.ai/free/en/papers/yao-2026-probing-attention-representation-filler-gap/)
6770. [**Probing the Dynamics of Syntactic Ability Acquisition Throughout LLM Pretraining**Hiroshi Matsuda, Masayuki Asahara*2026*](https://md.research.elamur.ai/free/en/papers/matsuda-2026-probing-dynamics-syntactic-ability-acquisition/)
6771. [**Proficiency-Controlled Text Simplification in European Portuguese: A Preliminary Study using Prompting Approaches**Eugénio Ribeiro, David Antunes, Nuno Mamede, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ribeiro-2026-proficiency-controlled-text-simplification-european/)
6772. [**Push and Pull: Training Sentence Encoders with Contrastive Losses for Distance-Based Multi-Label Text Classification**Jens Van Nooten, Andriy Kosar*2026*](https://md.research.elamur.ai/free/en/papers/nooten-2026-push-pull-training-sentence-encoders/)
6773. [**Quality and Appropriateness of Large Text Datasets for Irish NLP**Abigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.*2026*](https://md.research.elamur.ai/free/en/papers/walsh-2026-quality-appropriateness-large-text-datasets/)
6774. [**Quality and Comprehensibility of Interlingual Subtitles Produced by Humans or with Machines**Lara Shoana Schlüter, Ekaterina Lapshinova-Koltunski, Sylvia Jaki*2026*](https://md.research.elamur.ai/free/en/papers/schluter-2026-quality-comprehensibility-interlingual-subtitles-produced/)
6775. [**Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models**Arash Asgari, Huan Wu, Amirreza Naziri, et al.*2026*](https://md.research.elamur.ai/free/en/papers/asgari-2026-quantifying-metric-model-agreement-bias/)
6776. [**Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search**Kyle A. McCleary, James M. Ghawaly*2026*](https://md.research.elamur.ai/free/en/papers/mccleary-2026-quantifying-accuracy-cost-impact-design/)
6777. [**Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation**Klaudia Thellmann, Bernhard Stadler, Michael Färber, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thellmann-2026-quantifying-impact-translation-errors-multilingual/)
6778. [**Quantum Compositional NLP for Arabic: Grammar, Morphology, and Word Sense in Circuit Topology**Wajahath Mohammed*2026*](https://md.research.elamur.ai/free/en/papers/mohammed-2026-quantum-compositional-nlp-arabic-grammar/)
6779. [**Question and Response Dynamics in Public Service Encounters**Wassiliki Siskou, Ingrid Espinoza, Laurin Friedrich, et al.*2026*](https://md.research.elamur.ai/free/en/papers/siskou-2026-question-response-dynamics-public-service/)
6780. [**Questionnaire Meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and Responses**Duc-Hai Nguyen, Vijayakumar Nanjappan, Barry O'Sullivan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-questionnaire-meets-llm-benchmark-empirical/)
6781. [**R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language Models**Julian Schelb, Orr Borin, David Garcia, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schelb-2026-r-u-psycho-framework-robust/)
6782. [**Rating-based property axes: Agentivity and split intransitivity**Eva Neu, Brian Dillon, Katrin Erk*2026*](https://md.research.elamur.ai/free/en/papers/neu-2026-rating-based-property-axes-agentivity/)
6783. [**RBR: RAG-Based Open-Domain Question Answering Using a Ranking Approach to Document Retrieval**Priyatam Sai Naravajhula, Vincent Ng*2026*](https://md.research.elamur.ai/free/en/papers/naravajhula-2026-rbr-rag-based-open-domain/)
6784. [**Reading Time in the Wild: An Assessment of Readability Predictors Based on Naturally-Observed Reading Times**Sijbren van Vaals, Rik van Noord, Malvina Nissim*2026*](https://md.research.elamur.ai/free/en/papers/vaals-2026-reading-time-wild-assessment-readability/)
6785. [**Reason-to-Learn (R2L): Multi-Agent Knowledge Distillation for Lightweight LLMs in Sentiment Analysis**Le-Huy Tu, Quan Nguyen, Vincent NGUYEN, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tu-2026-reason-learn-r2l-multi-agent/)
6786. [**Reasoning About Gender: How Source Text Strategies Impact Italian–to-German Machine Translation Beyond the Binary**Paolo Di Natale, Laura Schlutter, Elena Chiocchetti, et al.*2026*](https://md.research.elamur.ai/free/en/papers/natale-2026-reasoning-about-gender-how-source/)
6787. [**Reasoning as Supportive Context for Machine Translation: A Case Study on Hindi to Bengali Language Pair**Kshetrimayum Boynao Singh, Saksham Singh, Partha Pakray, et al.*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-reasoning-as-supportive-context-machine/)
6788. [**Reasoning Graph-Structured Question Answering: Datasets and Insights from LLM Benchmarking**Khin Yone, Devasha Trivedi, Anish Pahilajani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yone-2026-reasoning-graph-structured-question-answering/)
6789. [**Rebelòt: Datasets and Token-Level Language Identification for Lombard-Italian-English Code-Mixing**Edoardo Signoroni, Emma Bednaříková, Pavel Rychly*2026*](https://md.research.elamur.ai/free/en/papers/signoroni-2026-rebelot-datasets-token-level-language/)
6790. [**Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)**Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zheng-2026-recent-advances-text/)
6791. [**Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies**Qianen Zhang, Zeyu Yang, Satoshi Nakamura*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-redefining-machine-simultaneous-interpretation-incremental/)
6792. [**Reference-free Evaluation at Inference for NER/NEL over OCRed Historical Texts**Tien-Nam Nguyen, Adam Jatowt, Ahmed Hamdi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-reference-free-evaluation-inference-ner/)
6793. [**Regional Variation in the Performance of ASR Models on Croatian and Serbian**Tanja Samardžić, Peter Rupnik, Nikola Ljubešić*2026*](https://md.research.elamur.ai/free/en/papers/samardzic-2026-regional-variation-performance-asr-models/)
6794. [**Regression-Tested Compositional Semantics: A Graphical Development Environment for Glue and Description-by-Analysis**Mark-Matthias Zymla, Kascha Kruschwitz*2026*](https://md.research.elamur.ai/free/en/papers/zymla-2026-regression-tested-compositional-semantics-graphical/)
6795. [**RelEx-PT: A Portuguese Sentence-Level Relation Extraction Dataset**Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira*2026*](https://md.research.elamur.ai/free/en/papers/pinto-2026-relex-pt-portuguese-sentence-level/)
6796. [**ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion**Maxim Melichov, Yakov Kolani, Morris Alper*2026*](https://md.research.elamur.ai/free/en/papers/melichov-2026-renikud-audio-supervised-hebrew-grapheme/)
6797. [**Rethinking Evaluation in Retrieval-Augmented Personalized Dialogue: A Cognitive and Linguistic Perspective**Tianyi Zhang, David Traum*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-rethinking-evaluation-retrieval-augmented-personalized/)
6798. [**Rethinking Gender Annotation for Bias Evaluation in Machine Translation: Can LLMs Improve Reliability?**Chiara Manna, Argentina Anna Rescigno, Eva Vanmassenhove*2026*](https://md.research.elamur.ai/free/en/papers/manna-2026-rethinking-gender-annotation-bias-evaluation/)
6799. [**Rethinking Role-Playing Evaluation: Anonymous Benchmarking and A Systematic Study of Personality Effects**Ji-Lun Peng, Yun-Nung Chen*2026*](https://md.research.elamur.ai/free/en/papers/peng-2026-rethinking-role-playing-evaluation-anonymous/)
6800. [**Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning**Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mi-2026-rethinking-idiomaticity-decomposability-hypothesis-evidence/)
6801. [**Rethinking the Relationship between the Power Law and Hierarchical Structures**Kai Nakaishi, Ryo Yoshida, Kohei Kajikawa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakaishi-2026-rethinking-relationship-between-power-law/)
6802. [**Retrieval-augmented Chain-of-thought Prompting Method for Chinese Frame Semantic Parsing (基于检索增强思维提示的汉语框架语义解析方法)**Yingxu Li (李迎旭), Tao Chen (陈涛), Binyang Li (李斌阳), et al.*2026*](https://md.research.elamur.ai/free/en/papers/li-2026-retrieval-augmented-chain/)
6803. [**Retrieving Responses Useful as References in Counseling via LLM-Generated Structurally Analogous Dialogues**Yu Nakagawa, Nozomu Ikeda, Kotaro Funakoshi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakagawa-2026-retrieving-responses-useful-as-references/)
6804. [**Roles of Predictability and Acoustic Distance in Sound Discrimination via Contrastive Learning**Shuhao Zhang, Youngah Do*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-roles-predictability-acoustic-distance-sound/)
6805. [**Romanized Arabic Across Dialects: Views, Usage Patterns, and Linguistic Variation**Amr Keleg, Ahmed Amine Ben Abdallah, Taha Yassine, et al.*2026*](https://md.research.elamur.ai/free/en/papers/keleg-2026-romanized-arabic-across-dialects-views/)
6806. [**Russian Generative Spelling, Punctuation and Capitalization Correction**Nikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.*2026*](https://md.research.elamur.ai/free/en/papers/martynov-2026-russian-generative-spelling-punctuation-capitalization/)
6807. [**RuznamceNER: A Named Entity Recognition Dataset for Ottoman Turkish**Esma Fatıma Bilgin Tasdemir, Dilara Zeynep Gürer, Saziye Betul Ozates*2026*](https://md.research.elamur.ai/free/en/papers/tasdemir-2026-ruznamcener-named-entity-recognition-dataset/)
6808. [**S-VoCAL: A Dataset and Evaluation Framework for Inferring Speaking Voice Character Attributes in Literature**Abigail Berthe-Pardo, Gaspard Michel, Elena V. Epure, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pardo-2026-s-vocal-dataset-evaluation-framework/)
6809. [**SagaQA: A Multi-hop Reasoning Benchmark for Long-form Narrative Understanding in TV Series**Galann Pennec, Zhengyuan Liu, Nicholas Asher, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pennec-2026-sagaqa-multi-hop-reasoning-benchmark/)
6810. [**SAINT: Multilingual Span-Level Interpretability for Sentiment Analysis**Seid Muhie Yimam, Tadesse Destaw Belay, Robert Geislinger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yimam-2026-saint-multilingual-span-level-interpretability/)
6811. [**SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language Models**Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/abdelnasser-2026-salamahbench-dialect-category-level-safety/)
6812. [**SALOMO: An Annotation Tool for Complex Annotation Tasks with a Large Number of Labels**Tim Menzner*2026*](https://md.research.elamur.ai/free/en/papers/menzner-2026-salomo-annotation-tool-complex-annotation/)
6813. [**Same-Language Subtitles for Low-resource Languages: A Case of Bundelkhandi**Anirudh Pradhan, Ayushi Pandey, Divyansh Kushwaha, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pradhan-2026-same-language-subtitles-low-resource/)
6814. [**Sanskrit Travelogue: A Large-Scale Unified and Annotated Corpus of Sanskrit Texts**Giacomo De Luca, Danilo Croce, Roberto Basili*2026*](https://md.research.elamur.ai/free/en/papers/luca-2026-sanskrit-travelogue-large-scale-unified/)
6815. [**Santham: A Curated Sanskrit–Tamil Dataset with Anvaya and Segmentation for Building and Evaluating Machine Translation**Prasanna Venkatesh T S, Ketaki Mangesh Shetye, Vishnuraj Arjunasamy, et al.*2026*](https://md.research.elamur.ai/free/en/papers/s-2026-santham-curated-sanskrit-tamil-dataset/)
6816. [**SAVI: Web-based Multilayered Semantic Annotation Validation Interface**Sashank Tatavolu, Soma Paul, Pratibha Rani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tatavolu-2026-savi-web-based-multilayered-semantic/)
6817. [**Scientific Article Section Classification (SASC) Dataset**Nicolau Duran-Silva, Julian Moreno-Schneider, César Parra-Rojas, et al.*2026*](https://md.research.elamur.ai/free/en/papers/silva-2026-scientific-article-section-classification-sasc/)
6818. [**Scoring the Translation: On Target Automatic Keyword-Based Evaluation of Machine Translation in the Sports Domain**Steinþór Steingrímsson, Einar Freyr Sigurðsson*2026*](https://md.research.elamur.ai/free/en/papers/steingrimsson-2026-scoring-translation-target-automatic-keyword/)
6819. [**Script Correction and Synthetic Pivoting: Adapting Tencent HY-MT for Low-Resource Turkic Translation**Bolgov Maxim*2026*](https://md.research.elamur.ai/free/en/papers/maxim-2026-script-correction-synthetic-pivoting-adapting/)
6820. [**SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search Engine**Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu*2026*](https://md.research.elamur.ai/free/en/papers/son-2026-searchllm-detecting-llm-paraphrased-text/)
6821. [**Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language Models**Makoto Takenaka, Hitomi Yanaka*2026*](https://md.research.elamur.ai/free/en/papers/takenaka-2026-seeing-other-side-diagnostic-tasks/)
6822. [**SEEM-CZ: Annotation and Classification of Epistemic Markers in Czech**Barbora Štěpánková, Michal Novák, Tomáš Musil, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stepankova-2026-seem-cz-annotation-classification-epistemic/)
6823. [**Semantic Information: A Difference That Makes a Difference**J. Nathanael Philipp, Max Kölbl, Michael Richter*2026*](https://md.research.elamur.ai/free/en/papers/philipp-2026-semantic-information-difference-that-makes/)
6824. [**Semantic Parsing for Evaluating Large Language Models: Separating Linguistic Abilities with YARN**Rémi DE VERGNETTE, Maxime Amblard*2026*](https://md.research.elamur.ai/free/en/papers/vergnette-2026-semantic-parsing-evaluating-large-language/)
6825. [**SemBench: A Universal Semantic Framework for LLM Evaluation**Mikel Zubillaga, Naiara Perez, Oscar Sainz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zubillaga-2026-sembench-universal-semantic-framework-llm/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/68/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [68](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/68/) **69** [70](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/70/) … [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/70/)