---
title: "Who cites Matthias Bethge — 432 papers of our library"
description: "432 papers of the Elamur Research library cite the works of Matthias Bethge, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/matthias-bethge/cited-by/"
---
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# Who cites Matthias Bethge

446 citations of their works from 432 papers of our library (of the 149,439 whose bibliographies we read) · 72 with a page here, the most cited first · [← Matthias Bethge](https://md.research.elamur.ai/free/en/authors/matthias-bethge/)

1. [**Learning Transferable Visual Models From Natural Language Supervision arXiv:2103.00020**Alec Radford, Jong Wook Kim, Chris Hallacy, et al.*2021 · 8,767 citations*](https://md.research.elamur.ai/free/en/papers/radford-2021-learning-transferable-visual-models-natural/)
2. [**PaLM: Scaling Language Modeling with Pathways arXiv:2204.02311**Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.*2022 · 4,753 citations*](https://md.research.elamur.ai/free/en/papers/chowdhery-2022-palm-scaling-language-modeling-pathways/)
3. [**Measuring Massive Multitask Language Understanding arXiv:2009.03300**Dan Hendrycks, Collin Burns, Steven Basart, et al.*2020 · 3,620 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-measuring-massive-multitask-language-understanding/)
4. [**On the Opportunities and Risks of Foundation Models arXiv:2108.07258**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,160 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/)
5. [**Robust Speech Recognition via Large-Scale Weak Supervision arXiv:2212.04356**Alec Radford, Jong Wook Kim, Tao Xu, et al.*2022 · 2,546 citations*](https://md.research.elamur.ai/free/en/papers/radford-2022-robust-speech-recognition-large-scale/)
6. [**Style Transfer from Non-Parallel Text by Cross-Alignment**Tianxiao Shen, Tao Lei, Regina Barzilay, et al.*2017 · 979 citations*](https://md.research.elamur.ai/free/en/papers/shen-2017-style-transfer-non-parallel-text/)
7. **[Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond](https://md.research.elamur.ai/free/en/papers/yang-2023-harnessing-power-llms-practice-survey/) [ACM Transactions on Knowledge Discovery from Data](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/)**Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al.*2023 · 814 citations*
8. **[Style Transfer in Text: Exploration and Evaluation](https://md.research.elamur.ai/free/en/papers/fu-2017-style-transfer-text-exploration-evaluation/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Zhenxin Fu, Xiaoye Tan, Nanyun Peng, et al.*2017 · 703 citations*
9. [**Similarity of Neural Network Representations Revisited arXiv:1905.00414**Simon Kornblith, Mohammad Norouzi, Honglak Lee, et al.*2019 · 679 citations*](https://md.research.elamur.ai/free/en/papers/kornblith-2019-similarity-neural-network-representations-revisited/)
10. [**Benchmarking Neural Network Robustness to Common Corruptions and Perturbations arXiv:1903.12261**Dan Hendrycks, Thomas Dietterich*2019 · 434 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2019-benchmarking-neural-network-robustness-common/)
11. **[Factual Probing Is MASK: Learning vs. Learning to Recall](https://md.research.elamur.ai/free/en/papers/zhong-2021-factual-probing-is-mask-learning/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zexuan Zhong, Dan Friedman, Danqi Chen*2021 · 415 citations*
12. **[Faith and Fate: Limits of Transformers on Compositionality](https://md.research.elamur.ai/free/en/papers/dziri-2023-faith-fate-limits-transformers-compositionality/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Nouha Dziri, Ximing Lu, Melanie Sclar, et al.*2023 · 327 citations*
13. [**WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation arXiv:2201.05955**Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.*2022 · 317 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-wanli-worker-ai-collaboration-natural/)
14. **[Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach](https://md.research.elamur.ai/free/en/papers/xu-2018-unpaired-sentiment-sentiment-translation-cycled/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingjing Xu, Xu Sun, Qi Zeng, et al.*2018 · 303 citations*
15. **[Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/tong-2024-cambrian-1-fully-open-vision/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shengbang Tong, Ellis Brown, Penghao Wu, et al.*2024 · 208 citations*
16. [**Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers arXiv:2409.04109**Chenglei Si, Diyi Yang, Tatsunori Hashimoto*2024 · 196 citations*](https://md.research.elamur.ai/free/en/papers/si-2024-llms-generate-novel-research/)
17. **[Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 176 citations*
18. **[Controllable Paraphrase Generation with a Syntactic Exemplar](https://md.research.elamur.ai/free/en/papers/chen-2019-controllable-paraphrase-generation-syntactic-exemplar/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingda Chen, Qingming Tang, Sam Wiseman, et al.*2019 · 173 citations*
19. [**Abstraction and analogy-making in artificial intelligence**Melanie Mitchell*2021 · 161 citations*](https://md.research.elamur.ai/free/en/papers/mitchell-2021-abstraction-analogy-making-artificial-intelligence/)
20. [**Unsupervised Text Style Transfer using Language Models as Discriminators arXiv:1805.11749**Zichao Yang, Zhiting Hu, Chris Dyer, et al.*2018 · 161 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-unsupervised-text-style-transfer-using/)
21. **[Measure and Improve Robustness in NLP Models: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2022-measure-improve-robustness-nlp-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xuezhi Wang, Haohan Wang, Diyi Yang*2022 · 148 citations*
22. **[TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/wang-2021-textflint-unified-multilingual-robustness-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Wang, Qin Liu, Tao Gui, et al.*2021 · 147 citations*
23. [**Agent Laboratory: Using LLM Agents as Research Assistants arXiv:2501.04227**Samuel Schmidgall, Yusheng Su, Ze Wang, et al.*2025 · 139 citations*](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agent-laboratory-using-llm/)
24. **[Mapping global dynamics of benchmark creation and saturation in artificial intelligence](https://md.research.elamur.ai/free/en/papers/ott-2022-mapping-global-dynamics-benchmark-creation/) [Nature Communications](https://md.research.elamur.ai/free/en/venues/nature-communications/)**Simon Ott, Adriano Barbosa-Silva, Kathrin Blagec, et al.*2022 · 93 citations*
25. [**LLM Inference Unveiled: Survey and Roofline Model Insights arXiv 2024**Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.*2024 · 91 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2024-llm-inference-unveiled-survey-roofline/)
26. [**From RAG to Memory: Non-Parametric Continual Learning for Large Language Models arXiv:2502.14802**Bernal Jimenez Gutierrez, Yiheng Shu, Weijian Qi, et al.*2025 · 90 citations*](https://md.research.elamur.ai/free/en/papers/gutierrez-2025-rag-memory-non-parametric-continual/)
27. [**Foundational Challenges in Assuring Alignment and Safety of Large Language Models arXiv:2404.09932**Usman Anwar, Abulhair Saparov, Javier Rando, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2024-foundational-challenges-assuring-alignment-safety/)
28. [**Phi-4-reasoning Technical Report arXiv:2504.21318**Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/abdin-2025-phi-4-reasoning-technical-report/)
29. **[Multimodal Table Understanding](https://md.research.elamur.ai/free/en/papers/zheng-2024-multimodal-table-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingyu Zheng, Xinwei Feng, Qingyi Si, et al.*2024 · 62 citations*
30. **[Generalizing Verifiable Instruction Following](https://md.research.elamur.ai/free/en/papers/pyatkin-2025-generalizing-verifiable-instruction-following/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Valentina Pyatkin, Saumya Malik, Victoria Graf, et al.*2025 · 59 citations*
31. **[OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI](https://md.research.elamur.ai/free/en/papers/huang-2024-olympicarena-benchmarking-multi-discipline-cognitive/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhen Huang, Zengzhi Wang, Shijie Xia, et al.*2024 · 56 citations*
32. [**Spurious Rewards: Rethinking Training Signals in RLVR arXiv:2506.10947**Rulin Shao, Shuyue Stella Li, Rui Xin, et al.*2025 · 53 citations*](https://md.research.elamur.ai/free/en/papers/shao-2025-spurious-rewards-rethinking-training-signals/)
33. [**AgentRxiv: Towards Collaborative Autonomous Research arXiv:2503.18102**Samuel Schmidgall, Michael Moor*2025 · 39 citations*](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agentrxiv-collaborative-autonomous-research/)
34. [**CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark arXiv:2409.11363**Zachary S. Siegel, Sayash Kapoor, Nitya Nadgir, et al.*2024 · 39 citations*](https://md.research.elamur.ai/free/en/papers/siegel-2024-core-bench-fostering-credibility/)
35. **[LitSearch: A Retrieval Benchmark for Scientific Literature Search](https://md.research.elamur.ai/free/en/papers/ajith-2024-litsearch-retrieval-benchmark-scientific-literature/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, et al.*2024 · 39 citations*
36. [**Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2 arXiv:2502.03544**Yuri Chervonyi, Trieu H. Trinh, Miroslav Olšák, et al.*2025 · 31 citations*](https://md.research.elamur.ai/free/en/papers/chervonyi-2025-gold-medalist-performance-solving-olympiad/)
37. **[Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning](https://md.research.elamur.ai/free/en/papers/weber-2023-mind-instructions-holistic-evaluation-consistency/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Lucas Weber, Elia Bruni, Dieuwke Hupkes*2023 · 29 citations*
38. **[Context Matters: A Pragmatic Study of PLMs' Negation Understanding](https://md.research.elamur.ai/free/en/papers/gubelmann-2022-context-matters-pragmatic-study-plms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Reto Gubelmann, Siegfried Handschuh*2022 · 28 citations*
39. **[Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/sun-2026-challenging-boundaries-reasoning-olympiad-level/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoxiang Sun, Yingqian Min, Zhipeng Chen, et al.*2026 · 25 citations*
40. [**Experiential Co-Learning of Software-Developing Agents arXiv:2312.17025**Chen Qian, Yufan Dang, Jiahao Li, et al.*2023 · 24 citations*](https://md.research.elamur.ai/free/en/papers/qian-2023-experiential-co-learning-software/)
41. [**Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations arXiv:2310.01651**Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, et al.*2023 · 24 citations*](https://md.research.elamur.ai/free/en/papers/zong-2023-fool-vision-language-model-embarrassingly/)
42. [**Physion: Evaluating Physical Prediction from Vision in Humans and Machines arXiv:2106.08261**Daniel M. Bear, Elias Wang, Damian Mrowca, et al.*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/bear-2021-physion-evaluating-physical-prediction-vision/)
43. [**Automated Hypothesis Validation with Agentic Sequential Falsifications arXiv:2502.09858**Kexin Huang, Ying Jin, Ryan Li, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/huang-2025-automated-hypothesis-validation-agentic-sequential/)
44. [**REFORMS: Reporting Standards for Machine Learning Based Science arXiv:2308.07832**Sayash Kapoor, Emily Cantrell, Kenny Peng, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/kapoor-2023-reforms-reporting-standards-machine/)
45. [**Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models arXiv:2503.24377**Rui Wang, Hongru Wang, Boyang Xue, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-harnessing-reasoning-economy-survey-efficient/)
46. **[PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free](https://md.research.elamur.ai/free/en/papers/li-2025-piguard-prompt-injection-guardrail-mitigating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Li, Xiaogeng Liu, Ning Zhang, et al.*2025 · 16 citations*
47. **[Prompting for explanations improves Adversarial NLI. Is this true? \Yes\ it is \true\ because ıt weakens superficial cues\](https://md.research.elamur.ai/free/en/papers/kavumba-2023-prompting-explanations-improves-adversarial-nli/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pride Kavumba, Ana Brassard, Benjamin Heinzerling, et al.*2023 · 14 citations*
48. **[Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to Artifacts](https://md.research.elamur.ai/free/en/papers/chen-2025-safer-or-luckier-llms-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongyu Chen, Seraphina Goldfarb-Tarrant*2025 · 13 citations*
49. **[Fast and Effective On-Policy Distillation from Reasoning Prefixes](https://md.research.elamur.ai/free/en/papers/zhang-2026-fast-effective-policy-distillation-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dongxu Zhang, Zhichao Yang, Sepehr Janghorbani, et al.*2026 · 12 citations*
50. **[Literature Meets Data: A Synergistic Approach to Hypothesis Generation](https://md.research.elamur.ai/free/en/papers/liu-2025-literature-meets-data-synergistic-approach/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, et al.*2025 · 12 citations*
51. **[Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers](https://md.research.elamur.ai/free/en/papers/xu-2025-can-llms-identify-critical-limitations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhijian Xu, Yilun Zhao, Manasi Patwardhan, et al.*2025 · 11 citations*
52. **[IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery](https://md.research.elamur.ai/free/en/papers/garikaparthi-2025-iris-interactive-research-ideation-system/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, et al.*2025 · 11 citations*
53. [**100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models arXiv:2505.00551**Chong Zhang, Yue Deng, Xiang Lin, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-100-days-after-deepseek/)
54. **[An Empirical Study of Synthetic Data Generation for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/omura-2024-empirical-study-synthetic-data-generation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kazumasa Omura, Fei Cheng, Sadao Kurohashi*2024 · 8 citations*
55. [**Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought arXiv:2510.04230**Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/son-2025-pushing-multilingual-reasoning-models-language/)
56. **[Towards more Human-like Language Models based on Contextualizer Pretraining Strategy](https://md.research.elamur.ai/free/en/papers/xiao-2023-more-human-like-language-models/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Chenghao Xiao, G Thomas Hudson, Noura Al Moubayed*2023 · 7 citations*
57. [**AI for Auto-Research: Roadmap & User Guide arXiv:2605.18661**Lingdong Kong, Xian Sun, Wei Chow, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kong-2026-ai-auto-research-roadmap-user/)
58. **[Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models](https://md.research.elamur.ai/free/en/papers/wang-2026-outcome-accuracy-is-not-enough/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Binghai Wang, Yantao Liu, Yuxuan Liu, et al.*2026 · 3 citations*
59. [**Prose for a Painting arXiv:1910.03634 · ICCV Workshop on Closing the Loop Between Vision and Language, 2019**Prerna Kashyap, Samrat Phatale, Iddo Drori*2019 · 3 citations*](https://md.research.elamur.ai/free/en/papers/kashyap-2019-prose-painting/)
60. **[Colloquial Singaporean English Style Transfer with Fine-Grained Explainable Control](https://md.research.elamur.ai/free/en/papers/liang-2025-colloquial-singaporean-english-style-transfer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinggui Liang, Dung Vo, Yap Hong Xian, et al.*2025 · 2 citations*
61. [**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/)
62. [**Position: Correct Answer, Wrong Mechanism — When AI Scientists Defend General Claims Their Own Data Contradicts arXiv:2606.23175**Steven Young Eulig*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/eulig-2026-position-correct-answer-wrong/)
63. **[Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards](https://md.research.elamur.ai/free/en/papers/yuan-2026-curing-miracle-steps-llm-mathematical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.*2026*
64. **[Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting Circuits](https://md.research.elamur.ai/free/en/papers/zhao-2026-do-transformers-grok-succinct-algorithms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yizheng Zhao*2026*
65. **[Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge](https://md.research.elamur.ai/free/en/papers/yang-2026-fine-tuning-vs-rag-multi/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Zhuoyi Yang, Yurun Song, Kyler G. Harris, et al.*2026*
66. **[Grammar Search for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/singh-2026-grammar-search-multi-agent-systems/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, et al.*2026*
67. **[HyperparameterOmens at SemEval-2026 Task 13: Various approaches to detecting machine- generated code](https://md.research.elamur.ai/free/en/papers/sukhotin-2026-hyperparameteromens-semeval-2026-task-13/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Dmitry Sukhotin, How Yu*2026*
68. **[Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-refine-self-refinement-parallel/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qibin Wang, Pu Zhao, Shaohan Huang, et al.*2026*
69. **[Measuring and Mitigating Shortcut Reliance in Language Models with Probe-Based Representation Entanglement](https://md.research.elamur.ai/free/en/papers/singh-2026-measuring-mitigating-shortcut-reliance-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Divyajot Singh*2026*
70. **[Pushing the Frontiers of Scientific Fact-Checking: The SCINLP Dataset](https://md.research.elamur.ai/free/en/papers/maab-2026-pushing-frontiers-scientific-fact-checking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Iffat Maab, Junichi Yamagishi*2026*
71. **[Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-reflect-rewrite-repeat-how-simple/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mengdie Flora Wang, Haochen Xie, Mun Young Kim, et al.*2026*
72. **[Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement](https://md.research.elamur.ai/free/en/papers/zhong-2026-consistent-world-models-multi-token/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qimin Zhong, Hao Liao, Haiming Qin, et al.*2026*

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