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title: "Reasoning — papers, page 5 — Elamur Research"
description: "Reasoning: 508 papers of the Elamur Research library · page 5 of 6 · 326–425, the most cited first."
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# 🧮 Reasoning

508 papers · page 5 of 6 · 326–425 · 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)

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326. [**Temporal Reasoning in Natural Language Inference**Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.*2020 · 57 citations*](https://md.research.elamur.ai/free/en/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/)
327. **[Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness](https://md.research.elamur.ai/free/en/papers/sanchez-2018-behavior-analysis-nli-models-uncovering/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ivan Sanchez, Jeff Mitchell, Sebastian Riedel*2018 · 55 citations*
328. **[On-demand Injection of Lexical Knowledge for Recognising Textual Entailment](https://md.research.elamur.ai/free/en/papers/gomez-2017-demand-injection-lexical-knowledge-recognising/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pascual Martínez-Gómez, Koji Mineshima, Yusuke Miyao, et al.*2017 · 52 citations*
329. **[VariErr NLI: Separating Annotation Error from Human Label Variation](https://md.research.elamur.ai/free/en/papers/genzel-2024-varierr-nli-separating-annotation-error/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Leon Weber-Genzel, Siyao Peng, Marie-Catherine De Marneffe, et al.*2024 · 51 citations*
330. **[ConjNLI: Natural Language Inference Over Conjunctive Sentences](https://md.research.elamur.ai/free/en/papers/saha-2020-conjnli-natural-language-inference-over/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Swarnadeep Saha, Yixin Nie, Mohit Bansal*2020 · 50 citations*
331. **[ANLIzing the Adversarial Natural Language Inference Dataset](https://md.research.elamur.ai/free/en/papers/williams-2022-anlizing-adversarial-natural-language-inference/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Adina Williams, Tristan Thrush, Douwe Kiela*2022 · 48 citations*
332. **[A Hybrid Reasoning Model for Indirect Answers](https://md.research.elamur.ai/free/en/papers/green-1994-hybrid-reasoning-model-indirect-answers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nancy Green, Sandra Carberry*1994 · 44 citations*
333. **[SciNLI: A Corpus for Natural Language Inference on Scientific Text](https://md.research.elamur.ai/free/en/papers/sadat-2022-scinli-corpus-natural-language-inference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mobashir Sadat, Cornelia Caragea*2022 · 43 citations*
334. **[Syntactic/Semantic Structures for Textual Entailment Recognition](https://md.research.elamur.ai/free/en/papers/mehdad-2010-syntactic-semantic-structures-textual-entailment/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yashar Mehdad, Alessandro Moschitti, Fabio Massimo Zanzotto*2010 · 43 citations*
335. [**We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 39 citations*](https://md.research.elamur.ai/free/en/papers/hee-2018-we-usually-don-t-like/)
336. [**Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition**Roy Bar-Haim, Ido Dagan, Iddo Greental, et al.*2007 · 39 citations*](https://md.research.elamur.ai/free/en/papers/haim-2007-semantic-inference-lexical-syntactic-level/)
337. **[Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data](https://md.research.elamur.ai/free/en/papers/akhtar-2023-exploring-numerical-reasoning-capabilities-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.*2023 · 38 citations*
338. **[Identifying inherent disagreement in natural language inference](https://md.research.elamur.ai/free/en/papers/zhang-2021-identifying-inherent-disagreement-natural-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xinliang Frederick Zhang, Marie-Catherine de Marneffe*2021 · 38 citations*
339. [**Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences arXiv:1810.13033**Atticus Geiger; Ignacio Cases; Lauri Karttunen;, Christopher Potts*2018 · 37 citations*](https://md.research.elamur.ai/free/en/papers/geiger-2018-stress-testing-neural-models-natural/)
340. **[Embracing Ambiguity: Shifting the Training Target of NLI Models](https://md.research.elamur.ai/free/en/papers/meissner-2021-embracing-ambiguity-shifting-training-target/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Johannes Mario Meissner, Napat Thumwanit, Saku Sugawara, et al.*2021 · 36 citations*
341. [**GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning**Zilong Zheng, Shuwen Qiu, Lifeng Fan, et al.*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2021-grice-grammar-based-dataset-recovering/)
342. **[An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference](https://md.research.elamur.ai/free/en/papers/liu-2020-empirical-study-model-agnostic-debiasing/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Tianyu Liu, Xin Zheng, Xiaoan Ding, et al.*2020 · 36 citations*
343. **[Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning](https://md.research.elamur.ai/free/en/papers/zhou-2022-distributed-nli-learning-predict-human/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiang Zhou, Yixin Nie, Mohit Bansal*2022 · 35 citations*
344. **[FATE: a FrameNet-Annotated Corpus for Textual Entailment](https://md.research.elamur.ai/free/en/papers/burchardt-2008-fate-framenet-annotated-corpus-textual/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aljoscha Burchardt, Marco Pennacchiotti*2008 · 35 citations*
345. [**Dependency-based paraphrasing for recognizing textual entailment**Erwin Marsi, Emiel Krahmer, Wauter Bosma*2007 · 35 citations*](https://md.research.elamur.ai/free/en/papers/marsi-2007-dependency-based-paraphrasing-recognizing-textual/)
346. **[Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution](https://md.research.elamur.ai/free/en/papers/emelin-2021-wino-x-multilingual-winograd-schemas/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Denis Emelin, Rico Sennrich*2021 · 34 citations*
347. **[Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?](https://md.research.elamur.ai/free/en/papers/yao-2024-sarcasm-detection-step-step-reasoning/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Ben Yao, Yazhou Zhang, Qiuchi Li, et al.*2024 · 33 citations*
348. **[BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment](https://md.research.elamur.ai/free/en/papers/stern-2012-biutee-modular-open-source-system/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Asher Stern, Ido Dagan*2012 · 31 citations*
349. **[Exploiting Sentiment and Common Sense for Zero-shot Stance Detection](https://md.research.elamur.ai/free/en/papers/luo-2022-exploiting-sentiment-common-sense-zero/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yun Luo, Zihan Liu, Yuefeng Shi, et al.*2022 · 30 citations*
350. **[MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain](https://md.research.elamur.ai/free/en/papers/herlihy-2021-mednli-is-not-immune-natural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Christine Herlihy, Rachel Rudinger*2021 · 30 citations*
351. **[Chain-of-Thought Embeddings for Stance Detection on Social Media](https://md.research.elamur.ai/free/en/papers/gatto-2023-chain-thought-embeddings-stance-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joseph Gatto, Omar Sharif, Sarah M. Preum*2023 · 28 citations*
352. **[KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/chen-2021-kace-generating-knowledge-aware-contrastive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qianglong Chen, Feng Ji, Xiangji Zeng, et al.*2021 · 28 citations*
353. [**SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference**Martin Schmitt, Hinrich Schütze*2019 · 28 citations*](https://md.research.elamur.ai/free/en/papers/schmitt-2019-sherliic-typed-event-focused-lexical/)
354. [**Recognizing Expressions of Commonsense Psychology in English Text**Andrew Gordon, Abe Kazemzadeh, Anish Nair, et al.*2003 · 28 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2003-recognizing-expressions-commonsense-psychology-english/)
355. **[Exploring Transitivity in Neural NLI Models through Veridicality](https://md.research.elamur.ai/free/en/papers/yanaka-2021-exploring-transitivity-neural-nli-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hitomi Yanaka, Koji Mineshima, Kentaro Inui*2021 · 27 citations*
356. **[HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/liu-2020-hyponli-exploring-artificial-patterns-hypothesis/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tianyu Liu, Xin Zheng, Baobao Chang, et al.*2020 · 27 citations*
357. **[New Protocols and Negative Results for Textual Entailment Data Collection](https://md.research.elamur.ai/free/en/papers/bowman-2020-new-protocols-negative-results-textual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Samuel R. Bowman, Jennimaria Palomaki, Livio Baldini Soares, et al.*2020 · 27 citations*
358. [**How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark**Minglai Yang, Ethan Huang, Liang Zhang, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-llm-reasoning-distracted-irrelevant-context/)
359. **[Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation](https://md.research.elamur.ai/free/en/papers/truong-2022-not-another-negation-benchmark-nan/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Hung Thinh Truong, Yulia Otmakhova, Timothy Baldwin, et al.*2022 · 24 citations*
360. **[A simple repair mechanism can alleviate computational demands of pragmatic reasoning: simulations and complexity analysis](https://md.research.elamur.ai/free/en/papers/arkel-2020-simple-repair-mechanism-can-alleviate/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Jacqueline van Arkel, Marieke Woensdregt, Mark Dingemanse, et al.*2020 · 24 citations*
361. [**Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models arXiv:2005.14709**Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/schlegel-2020-leaderboards-survey-methods-revealing-weaknesses/)
362. **[What happens before and after: Multi-Event Commonsense in Event Coreference Resolution](https://md.research.elamur.ai/free/en/papers/ravi-2023-what-happens-before-after-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sahithya Ravi, Chris Tanner, Raymond Ng, et al.*2023 · 21 citations*
363. **[Natural Language Inference with Monotonicity](https://md.research.elamur.ai/free/en/papers/hu-2019-natural-language-inference-monotonicity/) [International Conference on Computational Semantics (IWCS) –- Short papers](https://md.research.elamur.ai/free/en/venues/international-conference-on-computational-semantics-iwcs-short-papers/)**Hai Hu, Qi Chen, Larry Moss*2019 · 21 citations*
364. **[Is there a place for logic in recognizing textual entailment](https://md.research.elamur.ai/free/en/papers/bos-2014-is-there-place-logic-recognizing/) [Linguistic Issues in Language Technology](https://md.research.elamur.ai/free/en/venues/lilt/)**Johan Bos*2014 · 18 citations*
365. **[ArMATH: a Dataset for Solving Arabic Math Word Problems](https://md.research.elamur.ai/free/en/papers/alghamdi-2022-armath-dataset-solving-arabic-math/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang*2022 · 17 citations*
366. **[Does Commonsense help in detecting Sarcasm?](https://md.research.elamur.ai/free/en/papers/chowdhury-2021-does-commonsense-help-detecting-sarcasm/) [Workshop on Insights from Negative Results in NLP](https://md.research.elamur.ai/free/en/venues/insights/)**Somnath Basu Roy Chowdhury, Snigdha Chaturvedi*2021 · 17 citations*
367. [**Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds**Igor Labutov, Bishan Yang, Anusha Prakash, et al.*2018 · 17 citations*](https://md.research.elamur.ai/free/en/papers/labutov-2018-multi-relational-question-answering-narratives/)
368. **[Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms](https://md.research.elamur.ai/free/en/papers/noh-2015-multi-level-alignments-as-extensible/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Tae-Gil Noh, Sebastian Padó, Vered Shwartz, et al.*2015 · 17 citations*
369. **[New Trends for Modern Machine Translation with Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-new-trends-modern-machine-translation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sinuo Liu, Chenyang Lyu, Minghao Wu, et al.*2026 · 16 citations*
370. **[When data permutations are pathological: the case of neural natural language inference](https://md.research.elamur.ai/free/en/papers/schluter-2018-when-data-permutations-are-pathological/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Natalie Schluter, Daniel Varab*2018 · 16 citations*
371. **[When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)](https://md.research.elamur.ai/free/en/papers/gubelmann-2023-when-truth-matters-addressing-pragmatic/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Reto Gubelmann, Aikaterini-lida Kalouli, Christina Niklaus, et al.*2023 · 15 citations*
372. **[Capture Human Disagreement Distributions by Calibrated Networks for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/wang-2022-capture-human-disagreement-distributions-calibrated/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxia Wang, Minghan Wang, Yimeng Chen, et al.*2022 · 15 citations*
373. [**Adversarial Analysis of Natural Language Inference Systems arXiv:1912.03441**Tiffany Chien, Jugal Kalita*2019 · 15 citations*](https://md.research.elamur.ai/free/en/papers/chien-2019-adversarial-analysis-natural-language-inference/)
374. [**Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes On arXiv:2407.08348**Liang Zeng, Liangjun Zhong, Liang Zhao, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-skywork-math-data-scaling-laws/)
375. **[Natural Language Inference with Mixed Effects](https://md.research.elamur.ai/free/en/papers/gantt-2020-natural-language-inference-mixed-effects/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**William Gantt, Benjamin Kane, Aaron Steven White*2020 · 14 citations*
376. **[Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/rajaee-2022-looking-overlooked-analysis-word-overlap/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar*2022 · 13 citations*
377. **[Partial-input baselines show that NLI models can ignore context, but they don't.](https://md.research.elamur.ai/free/en/papers/srikanth-2022-partial-input-baselines-show-that/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Neha Srikanth, Rachel Rudinger*2022 · 13 citations*
378. **[Towards the Necessity for Debiasing Natural Language Inference Datasets](https://md.research.elamur.ai/free/en/papers/panenghat-2020-necessity-debiasing-natural-language-inference/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mithun Paul Panenghat, Sandeep Suntwal, Faiz Rafique, et al.*2020 · 13 citations*
379. [**Non-entailed subsequences as a challenge for natural language inference arXiv:1811.12112**R. Thomas McCoy, Tal Linzen*2018 · 13 citations*](https://md.research.elamur.ai/free/en/papers/mccoy-2018-non-entailed-subsequences-challenge-natural/)
380. [**When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning arXiv:2504.01005**Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/singhi-2025-solve-verify-compute-optimal-problem/)
381. **[Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences](https://md.research.elamur.ai/free/en/papers/kabbara-2022-investigating-performance-transformer-based-nli/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Jad Kabbara, Jackie Chi Kit Cheung*2022 · 12 citations*
382. [**Combining Event Semantics and Degree Semantics for Natural Language Inference**Izumi Haruta, Koji Mineshima, Daisuke Bekki*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/haruta-2020-combining-event-semantics-degree-semantics/)
383. **[Memorization or Reasoning? Exploring the Idiom Understanding of LLMs](https://md.research.elamur.ai/free/en/papers/kim-2025-memorization-or-reasoning-exploring-idiom/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jisu Kim, Youngwoo Shin, Uiji Hwang, et al.*2025 · 11 citations*
384. **[IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions](https://md.research.elamur.ai/free/en/papers/zeng-2023-iekg-commonsense-knowledge-graph-idiomatic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, et al.*2023 · 11 citations*
385. **[Coreference Reasoning in Machine Reading Comprehension](https://md.research.elamur.ai/free/en/papers/wu-2021-coreference-reasoning-machine-reading-comprehension/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, et al.*2021 · 11 citations*
386. **[Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings](https://md.research.elamur.ai/free/en/papers/schuff-2021-does-external-knowledge-help-explainable/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Hendrik Schuff, Hsiu-Yu Yang, Heike Adel, et al.*2021 · 11 citations*
387. **[How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?](https://md.research.elamur.ai/free/en/papers/srikanth-2024-how-often-are-errors-natural/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Neha Srikanth, Marine Carpuat, Rachel Rudinger*2024 · 10 citations*
388. **[Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards](https://md.research.elamur.ai/free/en/papers/valentino-2021-do-natural-language-explanations-represent/) [International Conference on Computational Semantics](https://md.research.elamur.ai/free/en/venues/iwcs/)**Marco Valentino, Ian Pratt-Hartmann, André Freitas*2021 · 10 citations*
389. **[How Fast can BERT Learn Simple Natural Language Inference?](https://md.research.elamur.ai/free/en/papers/lin-2021-how-fast-can-bert-learn/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yi-Chung Lin, Keh-Yih Su*2021 · 10 citations*
390. **[Marked Attribute Bias in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/dawkins-2021-marked-attribute-bias-natural-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hillary Dawkins*2021 · 10 citations*
391. **[Recognizing Textual Entailment Using Probabilistic Inference](https://md.research.elamur.ai/free/en/papers/sha-2015-recognizing-textual-entailment-probabilistic-inference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lei Sha, Sujian Li, Baobao Chang, et al.*2015 · 10 citations*
392. **[FBK-TR: SVM for Semantic Relatedeness and Corpus Patterns for RTE](https://md.research.elamur.ai/free/en/papers/vo-2014-fbk-tr-svm-semantic-relatedeness/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Ngoc Phuoc An Vo, Octavian Popescu, Tommaso Caselli*2014 · 10 citations*
393. [**MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMs arXiv:2603.07539**Abdessalam Bouchekif; Shahd Gaben; Samer Rashwani; Somaya Eltanbouly; Mutaz Al-Khatib; Heba Sbahi; Mohammed Ghaly;, Emad Mohamed*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/bouchekif-2026-mawarith-dataset-benchmark-legal-inheritance/)
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