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title: "Reasoning — papers, page 6 — Elamur Research"
description: "Reasoning: 508 papers of the Elamur Research library · page 6 of 6 · 426–508, the most cited first."
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# 🧮 Reasoning

508 papers · page 6 of 6 · 426–508 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

Logic, inference and step-by-step problem solving: entailment, commonsense, mathematics.

## Papers (508)

[← prev](https://md.research.elamur.ai/free/en/topics/reasoning/page/5/) [1](https://md.research.elamur.ai/free/en/topics/reasoning/) … [5](https://md.research.elamur.ai/free/en/topics/reasoning/page/5/) **6**

426. [**Probing the Natural Language Inference Task with Automated Reasoning Tools arXiv:2005.02573**Zaid Marji, Animesh Nighojkar, John Licato*2020 · 3 citations*](https://md.research.elamur.ai/free/en/papers/marji-2020-probing-natural-language-inference-task/)
427. **[Corpora for Learning the Mutual Relationship between Semantic Relatedness and Textual Entailment](https://md.research.elamur.ai/free/en/papers/vo-2016-corpora-learning-mutual-relationship-between/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ngoc Phuoc An Vo, Octavian Popescu*2016 · 3 citations*
428. **[Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations](https://md.research.elamur.ai/free/en/papers/tan-2026-remedy-r-generative-reasoning-machine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al.*2026 · 2 citations*
429. **[The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs Using Indian Riddles](https://md.research.elamur.ai/free/en/papers/m-2026-riddle-reflection-evaluating-reasoning-self/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Abhinav P M, Ojasva Saxena, Oswald C, et al.*2026 · 2 citations*
430. [**AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data arXiv:2507.18442**Rana Alshaikh, Israa Alghanmi, Shelan Jeawak*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alshaikh-2025-aratable-benchmarking-llms-reasoning-understanding/)
431. [**Benchmarking the Legal Reasoning of LLMs in Arabic Islamic Inheritance Cases arXiv:2508.15796**Nouar AlDahoul, Yasir Zaki*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/aldahoul-2025-benchmarking-legal-reasoning-llms-arabic/)
432. [**Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training arXiv:2307.14666**Mohammad Majd Saad Al Deen, Maren Pielka, Jorn Hees, et al.*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/deen-2023-improving-natural-language-inference-arabic/)
433. [**Pragmatic and Logical Inferences in NLI Systems: The Case of Conjunction Buttressing**Paolo Pedinotti, Emmanuele Chersoni, Enrico Santus, et al.*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/pedinotti-2022-pragmatic-logical-inferences-nli-systems/)
434. [**Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns arXiv:2201.07614**Reto Gubelmann, Siegfried Handschuh*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/gubelmann-2022-uncovering-more-shallow-heuristics-probing/)
435. [**Understanding Roles and Entities: Datasets and Models for Natural Language Inference arXiv:1904.09720**Arindam Mitra, Ishan Shrivastava, Chitta Baral*2019 · 2 citations*](https://md.research.elamur.ai/free/en/papers/mitra-2019-understanding-roles-entities-datasets-models/)
436. **[A mostly unlexicalized model for recognizing textual entailment](https://md.research.elamur.ai/free/en/papers/paul-2018-mostly-unlexicalized-model-recognizing-textual/) [Workshop on Fact Extraction and VERification (FEVER)](https://md.research.elamur.ai/free/en/venues/fever/)**Mithun Paul, Rebecca Sharp, Mihai Surdeanu*2018 · 2 citations*
437. **[Towards a Semantic Model for Textual Entailment Annotation](https://md.research.elamur.ai/free/en/papers/toledo-2014-semantic-model-textual-entailment-annotation/) [Linguistic Issues in Language Technology](https://md.research.elamur.ai/free/en/venues/lilt/)**Assaf Toledo, Stavroula Alexandropoulou, Sophie Chesney, et al.*2014 · 2 citations*
438. **[BIS Reasoning 1.0: The First Large-Scale Japanese Benchmark for Belief-Inconsistent Syllogistic Reasoning](https://md.research.elamur.ai/free/en/papers/nguyen-2026-bis-reasoning-1-0-first/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ha Thanh Nguyen, Hideyuki Tachibana, Chaoran Liu, et al.*2026 · 1 citation*
439. **[Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/azime-2026-bridging-culture-gap-framework-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Israel Abebe Azime, Tadesse Destaw Belay, Dietrich Klakow, et al.*2026 · 1 citation*
440. **[GIL-Zaragoza at SemEval 2026 Task 11: Comparing Classification, Autoformalization, and Ontologies for Formal Reasoning Capabilities](https://md.research.elamur.ai/free/en/papers/ponce-2026-gil-zaragoza-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Francisco Lopez-Ponce, Lucia Pitarch, Iván Saavedra Martínez, et al.*2026 · 1 citation*
441. **[Modeling Clinical Uncertainty in Radiology Reports: From Explicit Uncertainty Markers to Implicit Reasoning Pathways](https://md.research.elamur.ai/free/en/papers/rabaey-2026-modeling-clinical-uncertainty-radiology-reports/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Paloma Rabaey, Jong Hak Moon, Jung-Oh Lee, et al.*2026 · 1 citation*
442. **[Sense and Sensitivity: “Reasoning” Models are More Robust, but can Diverge from Human Consensus in a Legal Interpretation Task](https://md.research.elamur.ai/free/en/papers/petersen-2026-sense-sensitivity-reasoning-models-are/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Dawson Petersen, Abhishek Purushothama, Nathan Schneider*2026 · 1 citation*
443. **[Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual Reasoning](https://md.research.elamur.ai/free/en/papers/vaishnav-2026-symbolic-grounding-reveals-representational-bottlenecks/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Mohit Vaishnav, Tanel Tammet*2026 · 1 citation*
444. [**Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Tasks arXiv:2508.15797**Nouar AlDahoul, Yasir Zaki*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/aldahoul-2025-benchmarking-medical-understanding-reasoning-large/)
445. [**LCHAIM - Investigating Long Context Reasoning in Hebrew**Ehud Malul, Oriel Perets, Ziv Mor, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/malul-2025-lchaim-investigating-long-context-reasoning/)
446. **[Finite State Reasoning for Presupposition Satisfaction](https://md.research.elamur.ai/free/en/papers/collard-2018-finite-state-reasoning-presupposition-satisfaction/) [International Workshop on Language Cognition and Computational Models](https://md.research.elamur.ai/free/en/venues/international-workshop-on-language-cognition-and-computational-models/)**Jacob Collard*2018 · 1 citation*
447. **[Semi-Automatic Construction of a Textual Entailment Dataset: Selecting Candidates with Vector Space Models](https://md.research.elamur.ai/free/en/papers/fonseca-2015-semi-automatic-construction-textual-entailment/) [Brazilian Symposium in Information and Human Language Technology](https://md.research.elamur.ai/free/en/venues/stil/)**Erick R. Fonseca, Sandra Maria Aluísio*2015 · 1 citation*
448. [**A Cascade Reinforcement Learning Strategy for Efficiently Enhancing the Reasoning Ability of Multimodal Large Language Models (高效提升多模态大语言模型推理能力的级联强化学习策略) Acta Automatica Sinica (自动化学报)**Weiyun Wang (王玮赟), Hengjun Pu (蒲恒骏), Linglin Jing (景凌林), et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-cascade-reinforcement-learning/)
449. **[A Reasoning Path Ranking Method for Reasoning Optimization of Small-scale Large Language Models (面向小规模大语言模型推理优化的推理路径排序方法)](https://md.research.elamur.ai/free/en/papers/li-2026-reasoning-path-ranking/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Jun Li (李俊), Yu Bai (白宇), Yuting Liu (刘雨婷)*2026*
450. **[AgriChain: Visually-Grounded Expert-Verified Reasoning for Interpretable Agricultural Vision–Language Models](https://md.research.elamur.ai/free/en/papers/mahmood-2026-agrichain-visually-grounded-expert-verified/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hazza Mahmood, Yongqiang Yu, Rao Anwer*2026*
451. **[Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QA](https://md.research.elamur.ai/free/en/papers/maheshwary-2026-augmenting-llm-reasoning-dynamic-notes/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.*2026*
452. **[Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language Variety](https://md.research.elamur.ai/free/en/papers/natale-2026-beyond-simple-term-injection-reasoning/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Paolo Di Natale, Elena Chiocchetti, Marlies Alber, et al.*2026*
453. **[Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs](https://md.research.elamur.ai/free/en/papers/purkayastha-2026-common-sense-vs-morality-curious/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Saugata Purkayastha, Pranav Kushare, Pragya Paramita Pal, et al.*2026*
454. **[Commonsense Plausibility Estimation Based on Pretrained Models: A Survey (基于预训练模型的文本常识合理性估计研究综述)](https://md.research.elamur.ai/free/en/papers/cui-2026-commonsense-plausibility-estimation/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Wanqing Cui (崔莞清), Keping Bi (毕可平), Jiafeng Guo (郭嘉丰), et al.*2026*
455. **[Consistency of LLMs to Comparative Statements in Mathematical Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/san-2026-consistency-llms-comparative-statements-mathematical/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.*2026*
456. **[Creation and Validation of a Monolingual Spanish NLI Dataset for Metaphor Interpretation via Model-in-the-Loop](https://md.research.elamur.ai/free/en/papers/montero-2026-creation-validation-monolingual-spanish-nli/) [Learning Non-Literal Expressions with Small Data @ LREC](https://md.research.elamur.ai/free/en/venues/nonliteral/)**Alec Sanchez-Montero, Gemma Bel-Enguix, Sergio Luis Ojeda Trueba*2026*
457. **[CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Traps](https://md.research.elamur.ai/free/en/papers/yun-2026-crit-qa-evaluating-multi-hop/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jungmin Yun, June Hyoung Kwon, Youngbin Kim*2026*
458. **[DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised Distillation](https://md.research.elamur.ai/free/en/papers/rohr-2026-deepicd-r1-medical-reasoning-through/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.*2026*
459. **[Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*
460. **[E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral-benchmarks/) [IEEE Access](https://md.research.elamur.ai/free/en/venues/ieee-access/)**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*
461. **[Enhancing the Role-playing Capabilities of Reasoning-optimized Large Language Models (推理型大语言模型角色扮演能力评估与优化)](https://md.research.elamur.ai/free/en/papers/feng-2026-enhancing-role-playing/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Xiachong Feng (冯夏冲), Yichong Huang (黄毅翀), Xiaocheng Feng (冯骁骋), et al.*2026*
462. **[Facilitating Large Language Model-based Multiple-choice Reading Comprehension with Question-solving Thought (基于解题思维机制的大语言模型多项选择阅读理解增强框架)](https://md.research.elamur.ai/free/en/papers/su-2026-facilitating-large-language/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Yisong Su (苏艺淞), Yuanzhe Zhang (张元哲), Xiangwen Liao (廖祥文), et al.*2026*
463. **[From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models (从感知到推理：深度思考赋能多模态大语言模型)](https://md.research.elamur.ai/free/en/papers/zhu-2026-perception-reasoning-deep/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Wenxin Zhu (祝文鑫), Andong Chen (陈安东), Yuchen Song (宋宇宸), et al.*2026*
464. **[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*
465. **[Investigating Reasoning with Hypotheses: The RIP2 Corpus](https://md.research.elamur.ai/free/en/papers/schad-2026-investigating-reasoning-hypotheses-rip2-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ella Schad, Clara Seyfried, Chris Reed*2026*
466. [**JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew**Itay Razumenko, Arnon Sturm, Nir Grinberg*2026*](https://md.research.elamur.ai/free/en/papers/razumenko-2026-judgemenot-personalizing-large-language-models/)
467. **[K-CoT: Chinese Parallelism Generation Based on Keywords Chain-of-Thought Prompting (K-CoT：基于关键词思维链提示的中文排比句生成研究)](https://md.research.elamur.ai/free/en/papers/zhong-2026-k-cot-chinese/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Maosheng Zhong (钟茂生), Jiaqi Gan (甘家其), Hejun Zhang (张鹤君), et al.*2026*
468. **[Large Language Models Put to the Test on Chinese Noun Compounds: Experiments on Natural Language Inference and Compound Semantics](https://md.research.elamur.ai/free/en/papers/qiu-2026-large-language-models-put-test/) [Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/)**Le Qiu, Emmanuele Chersoni, He Zhou, et al.*2026*
469. **[MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-meur-benchmark-evaluating-vision-language/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Zimu Wang, Yuqi Wang, Tong Chen, et al.*2026*
470. **[mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/ngo-2026-mscore-multilingual-scalable-benchmark-skill/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen*2026*
471. **[Multimodal LLMs Do Not Compose Skills Optimally across Modalities](https://md.research.elamur.ai/free/en/papers/ontalvilla-2026-multimodal-llms-do-not-compose/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune*2026*
472. **[NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/westhelle-2026-negnli-br-brazilian-portuguese-benchmark/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Matheus Westhelle, Viviane Moreira*2026*
473. **[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)](https://md.research.elamur.ai/free/en/papers/si-2026-ontology-graph-dual/) [Journal of Computer Research and Development](https://md.research.elamur.ai/free/en/venues/journal-of-computer-research-and-development/)**Yuehang Si (司悦航), Zefan Zeng (曾泽凡), Boyan Wang (王博岩), et al.*2026*
474. **[Reasoning About Gender: How Source Text Strategies Impact Italian–to-German Machine Translation Beyond the Binary](https://md.research.elamur.ai/free/en/papers/natale-2026-reasoning-about-gender-how-source/) [Workshop on Gender-Inclusive Translation Technologies](https://md.research.elamur.ai/free/en/venues/gitt/)**Paolo Di Natale, Laura Schlutter, Elena Chiocchetti, et al.*2026*
475. **[Reasoning as Supportive Context for Machine Translation: A Case Study on Hindi to Bengali Language Pair](https://md.research.elamur.ai/free/en/papers/singh-2026-reasoning-as-supportive-context-machine/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Kshetrimayum Boynao Singh, Saksham Singh, Partha Pakray, et al.*2026*
476. **[Reasoning Graph-Structured Question Answering: Datasets and Insights from LLM Benchmarking](https://md.research.elamur.ai/free/en/papers/yone-2026-reasoning-graph-structured-question-answering/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Khin Yone, Devasha Trivedi, Anish Pahilajani, et al.*2026*
477. **[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)](https://md.research.elamur.ai/free/en/papers/li-2026-retrieval-augmented-chain/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Yingxu Li (李迎旭), Tao Chen (陈涛), Binyang Li (李斌阳), et al.*2026*
478. **[SagaQA: A Multi-hop Reasoning Benchmark for Long-form Narrative Understanding in TV Series](https://md.research.elamur.ai/free/en/papers/pennec-2026-sagaqa-multi-hop-reasoning-benchmark/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Galann Pennec, Zhengyuan Liu, Nicholas Asher, et al.*2026*
479. **[Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language Models](https://md.research.elamur.ai/free/en/papers/takenaka-2026-seeing-other-side-diagnostic-tasks/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Makoto Takenaka, Hitomi Yanaka*2026*
480. **[SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space](https://md.research.elamur.ai/free/en/papers/zinkovich-2026-sparta-evaluating-reasoning-segmentation-robustness/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.*2026*
481. **[Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity Detection](https://md.research.elamur.ai/free/en/papers/phelps-2026-stands-reason-investigating-effect-reasoning/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith, et al.*2026*
482. **[ThinkStruct: RST-Aware Attention for Logical Reasoning in Machine Reading Comprehension](https://md.research.elamur.ai/free/en/papers/tran-2026-thinkstruct-rst-aware-attention-logical/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Nhi Thao Tran, Tien Le, Toan Pham, et al.*2026*
483. **[Time-for-Accuracy: Formalizing Chain-of-Thought as an Expansion of Logical Depth](https://md.research.elamur.ai/free/en/papers/wang-2026-time-accuracy-formalizing-chain-thought/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yue Wang, Zhi Zhang, Wang Xi, et al.*2026*
484. **[Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation](https://md.research.elamur.ai/free/en/papers/prama-2026-translation-cot-human-inspired-chain/) [Conference of the Association for Machine Translation in the Americas (AMTA)](https://md.research.elamur.ai/free/en/venues/amta/)**Tabia Tanzin Prama, Juniper L Lovato, Chris Danforth, et al.*2026*
485. **[Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Shenbin Qian, Yves Scherrer*2026*
486. [**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) Acta Automatica Sinica (自动化学报)**Zhengfei Xu (徐正斐), Xin Xin (辛欣)*2025*](https://md.research.elamur.ai/free/en/papers/xu-2025-empirical-study-chinese/)
487. **[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)](https://md.research.elamur.ai/free/en/papers/wu-2025-huaputong-large-language/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xindong Wu (吴信东), Xingrui Zhuo (卓兴锐), Yongpan Chang (常永泮), et al.*2025*
488. [**MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation arXiv:2508.13130**Kareem Elozeiri, Mervat Abassy, Preslav Nakov, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elozeiri-2025-mudric-multi-dialect-reasoning-arabic/)
489. **[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)](https://md.research.elamur.ai/free/en/papers/li-2025-positive-negative-chain/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Xi Li (李希), Xiping Liu (刘喜平), Qing Shu (舒晴), et al.*2025*
490. [**Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025***2025*](https://md.research.elamur.ai/free/en/papers/anon-2025-proceedings-bridging-neurons-symbols-natural/)
491. **[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)](https://md.research.elamur.ai/free/en/papers/liu-2025-self-guide-enhancing/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Yibin Liu (刘艺彬), Zhenghao Liu (刘正皓), Yukun Yan (闫宇坤), et al.*2025*
492. **[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)](https://md.research.elamur.ai/free/en/papers/cui-2024-pre-trained-universal/) [Journal of Computer Research and Development](https://md.research.elamur.ai/free/en/venues/journal-of-computer-research-and-development/)**Yuanning Cui (崔员宁), Zequn Sun (孙泽群), Wei Hu (胡伟)*2024*
493. **[Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)](https://md.research.elamur.ai/free/en/papers/arasawa-2024-can-generative-ai-recognise/) [Annual Meeting of the Association for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/annual-meeting-of-the-association-for-natural-language-processing/)**荒沢康平, 狩野芳伸*2024*
494. **[Dynamic changes in search strategy during chain-of-thought reasoning of language models (言語モデルの思考連鎖的推論における探索戦略の動的変化)](https://md.research.elamur.ai/free/en/papers/aoki-2024-dynamic-changes-search-strategy/) [Annual Meeting of the Association for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/annual-meeting-of-the-association-for-natural-language-processing/)**青木洋一, 工藤慧音, 曾根周作, et al.*2024*
495. **[Method for Expanding Event Commonsense Knowledge Graph Based on Large Language Models (基于大语言模型的事件常识知识图谱扩展方法)](https://md.research.elamur.ai/free/en/papers/huang-2024-method-expanding-event/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Qiaojuan Huang (黄俏娟), Cungen Cao (曹存根), Ya Wang (王亚), et al.*2024*
496. **[Research Progress and Trend of Temporal Knowledge Graph Representation and Reasoning (时序知识图谱表示与推理的研究进展与趋势)](https://md.research.elamur.ai/free/en/papers/wang-2024-trend-temporal-knowledge/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yuhan Wang (王俞涵), Ziyang Chen (陈子阳), Xiang Zhao (赵翔), et al.*2024*
497. **[Survey on Interactive Theorem Proving Based Concurrent Program Verification (基于交互式定理证明的并发程序验证工作综述)](https://md.research.elamur.ai/free/en/papers/wang-2024-interactive-theorem-proving/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Zhongye Wang (王中烨), Shushu Wu (吴姝姝), Qinxiang Cao (曹钦翔)*2024*
498. [**Difficulties in Handling Mathematical Expressions in Universal Dependencies**Lauren Levine*2023*](https://md.research.elamur.ai/free/en/papers/levine-2023-difficulties-handling-mathematical-expressions-universal/)
499. **[How to teach the reasoning process in neural-symbolic reasoning (ニューラル記号推論における推論過程の教示方法)](https://md.research.elamur.ai/free/en/papers/brassard-2023-how-teach-reasoning-process/) [Annual Meeting of the Association for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/annual-meeting-of-the-association-for-natural-language-processing/)**青木洋一, 工藤慧音, Ana Brassard, et al.*2023*
500. **[Japanese textual entailment robust to swapped noun roles (名詞役割入れ替えに頑健な日本語含意関係認識)](https://md.research.elamur.ai/free/en/papers/amemiya-2023-japanese-textual-entailment-robust/) [Annual Meeting of the Association for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/annual-meeting-of-the-association-for-natural-language-processing/)**雨宮正弥, 増川哲太, 仲田明良, et al.*2023*
501. **[Survey on Commonsense Question Answering (常识问答研究综述)](https://md.research.elamur.ai/free/en/papers/fan-2023-commonsense-question-answering/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yifan Fan (范怡帆), Bowei Zou (邹博伟), Qingting Xu (徐庆婷), et al.*2023*
502. [**Investigating the improvement of students' performance and autonomy in problem-solving styles of learning English grammar under the flipped learning pattern Fanāvarī-i āmūzish 16**Sh. Soleymani, Kh. Aliabadi, I. Zaraii Zavaraki, et al.*2022*](https://md.research.elamur.ai/free/en/papers/soleymani-2022-investigating-improvement-students-performance-autonomy/)
503. [**Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference arXiv:2101.07397**Qingyuan Hu, Yi Zhang, Kanishka Misra, et al.*2021*](https://md.research.elamur.ai/free/en/papers/hu-2021-exploring-lexical-irregularities-hypothesis-only/)
504. **[From compositional semantics to Bayesian pragmatics via logical inference](https://md.research.elamur.ai/free/en/papers/grove-2021-compositional-semantics-bayesian-pragmatics-logical/) [Workshops on Natural Logic Meets Machine Learning (NALOMA)](https://md.research.elamur.ai/free/en/venues/naloma/)**Julian Grove, Jean-Philippe Bernardy, Stergios Chatzikyriakidis*2021*
505. [**A corpus of precise natural textual entailment problems arXiv:1812.05813**Jean-Philippe Bernardy, Stergios Chatzikyriakidis*2018*](https://md.research.elamur.ai/free/en/papers/bernardy-2018-corpus-precise-natural-textual-entailment/)
506. **[Book Reviews: Recognizing Textual Entailment: Models and Applications by Ido Dagan, Dan Roth, Mark Sammons and Fabio Massimo Zanzotto](https://md.research.elamur.ai/free/en/papers/magnini-2015-book-reviews-recognizing-textual-entailment/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Bernardo Magnini*2015*
507. **[Syntactic Testsuites and Textual Entailment Recognition](https://md.research.elamur.ai/free/en/papers/bedaride-2010-syntactic-testsuites-textual-entailment-recognition/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Paul Bedaride, Claire Gardent*2010*
508. [**Using English for commonsense knowledge**Allan Ramsay, Debora Field*2009*](https://md.research.elamur.ai/free/en/papers/ramsay-2009-english-commonsense-knowledge/)

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