---
title: "Who cites Sharan Narang — page 9"
description: "11,493 papers of the Elamur Research library cite the works of Sharan Narang, found in their bibliographies · page 9 of 9 · 801–895; the most cited first."
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---
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# Who cites Sharan Narang

13,067 citations of their works from 11,493 papers of our library (of the 140,884 whose bibliographies we read) · 895 with a page here, the most cited first · page 9 of 9 · 801–895 · [← Sharan Narang](https://md.research.elamur.ai/free/en/authors/sharan-narang/)

[← prev](https://md.research.elamur.ai/free/en/authors/sharan-narang/cited-by/page/8/) [1](https://md.research.elamur.ai/free/en/authors/sharan-narang/cited-by/) … [8](https://md.research.elamur.ai/free/en/authors/sharan-narang/cited-by/page/8/) **9**

801. [**Mind the Gap... or Not? How Translation Errors and Evaluation Details Skew Multilingual Results**Jan-Thorsten Peter, David Vilar, Tobias Domhan, et al.*2026 · 4 citations*](https://md.research.elamur.ai/free/en/papers/peter-2026-mind-gap-or-not-how/)
802. [**AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMs**Mo El-Haj, Paul Rayson*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/el-haj-2025-arafinnews-arabic-financial-summarisation-domain/)
803. [**Kuwain 1.5B: An Arabic SLM via Language Injection**Khalil Hennara, Sara Chrouf, Mohamed Motaism Hamed, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/hennara-2025-kuwain-1-5b-arabic-slm/)
804. [**Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations**Ananth Agarwal, Jasper Jian, Christopher D Manning, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2025-mechanisms-vs-outcomes-probing-syntax/)
805. [**AraT5-MSAizer: Translating Dialectal Arabic to MSA**Murhaf Fares*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/fares-2024-arat5-msaizer-translating-dialectal-arabic/)
806. [**ASOS at OSACT6 Shared Task: Investigation of Data Augmentation in Arabic Dialect-MSA Translation**Omer Nacar, Abdullah Alharbi, Serry Sibaee, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/nacar-2024-asos-osact6-shared-task-investigation/)
807. [**Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation**Massa Baali, Ibrahim Almakky, Shady Shehata, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/baali-2023-arabic-dysarthric-speech-recognition-using/)
808. [**ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark**Sara Ghaboura, Shubham Patle, Ketan More, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/ghaboura-2026-arb-comprehensive-arabic-multimodal-reasoning/)
809. [**Chronological Thinking in Full-Duplex Spoken Dialogue Language Models**Donghang Wu, Haoyang Zhang, Chen Chen, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/wu-2026-chronological-thinking-full-duplex-spoken/)
810. [**Frame In, Frame Out: Measuring Framing Bias in LLM-Generated News Summaries**Valeria Pastorino, Nafise Sadat Moosavi*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/pastorino-2026-frame-frame-out-measuring-framing/)
811. [**Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only Architectures**Chiara Manna, Hosein Mohebbi, Afra Alishahi, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/manna-2026-gender-disambiguation-machine-translation-diagnostic/)
812. [**Scaling Laws for Code: A More Data-Hungry Regime**Xianzhen Luo, Wenzhen Zheng, Qingfu Zhu, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/luo-2026-scaling-laws-code-more-data/)
813. [**Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model**Ahlam Alrehili, Areej Alhothali*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-towards-development-balanced-synthetic-data/)
814. [**No Context Needed: Contextual Quandary In Idiomatic Reasoning With Pre-Trained Language Models**Kellen Tan Cheng, Suma Bhat*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2024-no-context-needed-contextual-quandary/)
815. [**Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best**Michael Wilson, Zhenghao Zhou, Robert Frank*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/wilson-2023-subject-verb-agreement-seq2seq-transformers/)
816. [**Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs**Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2026-dicta-lm-3-0-advancing/)
817. [**KCIF: Knowledge-Conditioned Instruction Following**Rudra Murthy, Praveen Venkateswaran, Prince Kumar, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/murthy-2026-kcif-knowledge-conditioned-instruction-following/)
818. [**Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations**Shaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/tan-2026-remedy-r-generative-reasoning-machine/)
819. [**Can Large Language Models Predict the Outcome of Judicial Decisions?**Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Amani Al-Ghraibah*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/kmainasi-2025-large-language-models-predict-outcome/)
820. [**SHAMI-MT: A Syrian Arabic Dialect to Modern Standard Arabic Bidirectional Machine Translation System**Serry Sibaee, Omer Nacar, Yasser Al-Habashi, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/sibaee-2025-shami-mt-syrian-arabic-dialect/)
821. [**UM IWSLT 2024 Low-Resource Speech Translation: Combining Maltese and North Levantine Arabic**Sara Nabhani, Aiden Williams, Miftahul Jannat, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/nabhani-2024-um-iwslt-2024-low-resource/)
822. [**UOM-Constrained IWSLT 2024 Shared Task Submission - Maltese Speech Translation**Kurt Abela, Md Abdur Razzaq Riyadh, Melanie Galea, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/abela-2024-uom-constrained-iwslt-2024-shared/)
823. [**Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization**Bashar Al-Rfooh, Gheith Abandah, Rami Al-Rfou*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/al-rfooh-2023-fine-tashkeel-finetuning-byte-level/)
824. [**Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?**Aishwarya Ramasethu, Rohin Garg, Niyathi Allu, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ramasethu-2026-can-linguistically-related-languages-guide/)
825. [**Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with GPT**Anuja Tayal, Devika Salunke, Barbara Di Eugenio, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tayal-2026-conversational-assistants-support-patients-heart/)
826. [**CorefInst: Leveraging LLMs for Multilingual Coreference Resolution**Tuğba Pamay Arslan, Emircan Erol, Gülşen Eryiğit*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/arslan-2026-corefinst-leveraging-llms-multilingual-coreference/)
827. [**Diacritic Restoration for Low-Resource Indigenous Languages: Case Study with Bribri and Cook Islands Māori**Rolando Coto-Solano, Daisy Li, Manoela Teleginski Ferraz, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/solano-2026-diacritic-restoration-low-resource-indigenous/)
828. [**HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models**Stephan Oepen, Nikolay Arefyev, Mikko Aulamo, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/oepen-2026-hplt-3-0-very-large/)
829. [**In-Distribution Steering: Balancing Control and Coherence in Language Model Generation**Arthur Vogels, Benjamin Wong, Yann Choho, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/vogels-2026-distribution-steering-balancing-control-coherence/)
830. [**Introducing a Bangla Sentence – Gloss Pair Dataset for Bangla Sign Language Translation and Research**Neelavro Saha, Rafi Shahriyar, Nafis Ashraf Roudra, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/saha-2026-introducing-bangla-sentence-gloss-pair/)
831. [**SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages**Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/panahi-2026-synthllm-llm-based-scalable-synthetic/)
832. [**Team QUESPA System Submission for the IWSLT 2026 Dialectal and Low-resource Speech Translation Task**John E. Ortega, Rodolfo Joel Zevallos, Fabrício Carraro, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ortega-2026-team-quespa-system-submission-iwslt/)
833. [**Dense Retrieval for Low Resource Languages — the Case of Amharic Language**Tilahun Yeshambel, Moncef Garouani, Serge Molina, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yeshambel-2025-dense-retrieval-low-resource-languages/)
834. [**Rationale-Guided Distillation for E-Commerce Relevance Classification: Bridging Large Language Models and Lightweight Cross-Encoders**Sanjay Agrawal, Faizan Ahemad, Vivek Varadarajan Sembium*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/agrawal-2025-rationale-guided-distillation-e-commerce/)
835. [**When Alignment Hurts: Decoupling Representational Spaces in Multilingual Models**Ahmed Elshabrawy, Hour Kaing, Haiyue Song, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elshabrawy-2025-alignment-hurts-decoupling-representational-spaces/)
836. [**AlcLaM: Arabic Dialectal Language Model**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
837. [**Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models**Abdurahmman Alzahrani, Eyad Babkier, Faisal Yanbaawi, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alzahrani-2024-investigating-persuasion-techniques-arabic-empirical/)
838. [**Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models**Christos Zacharopoulos, Théo Desbordes, Mathias Sablé-Meyer*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zacharopoulos-2023-assessing-influence-attractor-verb-distance/)
839. [**Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)**Zezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yang-2023-deep-learning-code/)
840. [**QA-KGNet: Language Model-driven Knowledge Graph Question-answering Model (QA-KGNet: 一种语言模型驱动的知识图谱问答模型)**Shaojie Qiao (乔少杰), Guoping Yang (杨国平), Yong Yu (于泳), et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/qiao-2023-qa-kgnet-language/)
841. [**A Binary Problem in Binary QA: Diverse LLMs or Diverse Question Interpretations? That Is the Ensembling Question**Rafael Rosales, Santiago Miret*2026*](https://md.research.elamur.ai/free/en/papers/rosales-2026-binary-problem-binary-qa-diverse/)
842. [**ArabicNumBench: Evaluating Arabic Number Reading in Large Language Models**Anas Alhumud, Abdulaziz Alhammadi, Muhammad Badruddin Khan*2026*](https://md.research.elamur.ai/free/en/papers/alhumud-2026-arabicnumbench-evaluating-arabic-number-reading/)
843. [**AraDynFact: Dynamic Evaluation of Factual Knowledge in Arabic**Ignacio Iacobacci, Faroq Altam, Zhaozhi Qian, et al.*2026*](https://md.research.elamur.ai/free/en/papers/iacobacci-2026-aradynfact-dynamic-evaluation-factual-knowledge/)
844. [**Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation**Kaustubh Shivshankar Shejole, Sourabh Deoghare, Pushpak Bhattacharyya*2026*](https://md.research.elamur.ai/free/en/papers/shejole-2026-assessing-improving-punctuation-robustness-english/)
845. [**AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from Scratch**Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya*2026*](https://md.research.elamur.ai/free/en/papers/niyogi-2026-ayn-tiny-yet-competitive-indian/)
846. [**Bangla Key2Text: Text Generation from Keywords for a Low Resource Language**Tonmoy Talukder, G M Shahariar*2026*](https://md.research.elamur.ai/free/en/papers/talukder-2026-bangla-key2text-text-generation-keywords/)
847. [**Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMs**Arnav Attri, Anuj Attri*2026*](https://md.research.elamur.ai/free/en/papers/attri-2026-bridging-cognition-affect-emotion-aware/)
848. [**Consistency of LLMs to Comparative Statements in Mathematical Reasoning Tasks**Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/san-2026-consistency-llms-comparative-statements-mathematical/)
849. [**Contrastively Pre-trained Event Embeddings with Schema-free LLM Annotations**Frank Mtumbuka, Steven Schockaert*2026*](https://md.research.elamur.ai/free/en/papers/mtumbuka-2026-contrastively-pre-trained-event-embeddings/)
850. [**Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/)
851. [**E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral-benchmarks/)
852. [**E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral/)
853. [**EDDA-Coordinata: An Annotated Dataset of Historical Geographic Coordinates**Ludovic Moncla, Pierre Nugues, Thierry Joliveau, et al.*2026*](https://md.research.elamur.ai/free/en/papers/moncla-2026-edda-coordinata-annotated-dataset-historical/)
854. [**Evaluating the Adaptability of Large Language Models to Linguistic Variation**Ziyan Xu, Marina Seghier, Alice Millour, et al.*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-evaluating-adaptability-large-language-models/)
855. [**Evaluation of Document-Level Text Simplification in Japanese**Iori Yamashita, Hikari Tanaka, Hajime Kiyama, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yamashita-2026-evaluation-document-level-text-simplification/)
856. [**Evaluation of Multilingual Text Simplification for the Mental Health Domain: Exploring Small Language Models**Olga Pelloni, Sandra Just, Lars Bongo*2026*](https://md.research.elamur.ai/free/en/papers/pelloni-2026-evaluation-multilingual-text-simplification-mental/)
857. [**HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model**Noam Kayzer, Dan Revital, Ori Bar Joseph, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/)
858. [**ID10M-JAM: Stress-Testing Idiom Identification Under Challenging Context**Kai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hashiloni-2026-id10m-jam-stress-testing-idiom/)
859. [**LLM as a Morphological Disambiguator for Belarusian: A Preliminary Study**Vladislav Poritski, Oksana Volchek, Ilia Afanasev*2026*](https://md.research.elamur.ai/free/en/papers/poritski-2026-llm-as-morphological-disambiguator-belarusian/)
860. [**Memorization or Lucky Guesses: Detecting Short Sequences from Copyrighted Dutch News in LLM Output**Joris Veerbeek, Kas Berendsen, Alessandra Polimeno, et al.*2026*](https://md.research.elamur.ai/free/en/papers/veerbeek-2026-memorization-or-lucky-guesses-detecting/)
861. [**Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights**Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/valero-2026-merge-conquer-instructing-multilingual-models/)
862. [**Mimicking Neural Machine Translation History for Pedagogic Reasons**Vincent Vandeghinste*2026*](https://md.research.elamur.ai/free/en/papers/vandeghinste-2026-mimicking-neural-machine-translation-history/)
863. [**Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR**Wenyang Gao, Yaxuan Li, Yunxin Bao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/gao-2026-modular-neural-machine-translation-semantic/)
864. [**Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation**Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/)
865. [**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/)
866. [**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/)
867. [**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/)
868. [**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/)
869. [**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/)
870. [**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/)
871. [**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/)
872. [**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/)
873. [**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/)
874. [**SPQ: An Ensemble Technique for Large Language Model Compression**Jiamin Yao, Eren Gultepe*2026*](https://md.research.elamur.ai/free/en/papers/yao-2026-spq-ensemble-technique-large-language/)
875. [**SWAN: Semantic Watermarking with Abstract Meaning Representation**Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-swan-semantic-watermarking-abstract-meaning/)
876. [**The Impact of Tokenization Algorithms on Hungarian Language Model Performance**Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.*2026*](https://md.research.elamur.ai/free/en/papers/osvath-2026-impact-tokenization-algorithms-hungarian-language/)
877. [**The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks**Yusheng Zhao, Jian Zhao, Tianle Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhao-2026-mark-fades-adaptive-evolutionary-paraphrase/)
878. [**The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform**Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tsolakis-2026-matos-pipeline-translation-scientific-abstracts/)
879. [**Time-for-Accuracy: Formalizing Chain-of-Thought as an Expansion of Logical Depth**Yue Wang, Zhi Zhang, Wang Xi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-time-accuracy-formalizing-chain-thought/)
880. [**TRACER: Early Failure Detection for Task-Oriented Dialogue**Erfan Nourbakhsh, Rocky Slavin, Ke Yang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nourbakhsh-2026-tracer-early-failure-detection-task/)
881. [**Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation**Tabia Tanzin Prama, Juniper L Lovato, Chris Danforth, et al.*2026*](https://md.research.elamur.ai/free/en/papers/prama-2026-translation-cot-human-inspired-chain/)
882. [**Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes**Quintin Myers, Yanjun Gao*2026*](https://md.research.elamur.ai/free/en/papers/myers-2026-uncovering-hidden-violent-tendencies-llms/)
883. [**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/)
884. [**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/)
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