Who cites Yair Lakretz
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionZhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.2024 · 159 citations
- DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
- ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsJustin Chen, Swarnadeep Saha, Mohit Bansal2024 · 154 citations
- Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsMicrosoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
- Self-Evaluation Guided Beam Search for ReasoningYuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
- How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelMichael Hanna, Ollie Liu, Alexandre Variengien2023 · 140 citations
- Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationZhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al.2023 · 139 citations
- A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations
- InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
- To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningZayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 133 citations
- FLUTE: Figurative Language Understanding through Textual ExplanationsTuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 131 citations
- Faithful Logical Reasoning via Symbolic Chain-of-ThoughtJundong Xu, Hao Fei, Liangming Pan, et al.2024 · 129 citations
- Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
- ZeroSCROLLS: A Zero-Shot Benchmark for Long Text UnderstandingUri Shaham, Maor Ivgi, Avia Efrat, et al.2023 · 128 citations
- Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsFederico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 124 citations
- Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
- Evaluating the Performance of Large Language Models on GAOKAO BenchmarkXiaotian Zhang, Chunyang Li, Yi Zong, et al.2023 · 107 citations
- Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
- MAmmoTH2: Scaling Instructions from the WebXiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 94 citations
- NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 84 citations
- PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.2024 · 75 citations
- Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
- Metaphor Understanding Challenge Dataset for LLMsXiaoyu Tong, Rochelle Choenni, Martha Lewis, et al.2024 · 47 citations
- Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
- Language acquisition: do children and language models follow similar learning stages?Linnea Evanson, Yair Lakretz, Jean-Rémi King2023 · 33 citations
- Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
- Prediction of Arabic Legal Rulings using Large Language ModelsAdel Ammar, Anis Koubaa, Bilel Benjdira, et al.2023 · 27 citations
- The Quantization Model of Neural ScalingEric J. Michaud, Ziming Liu, Uzay Girit, et al.2023 · 27 citations
- Do Large Language Models Understand Word Senses?Domenico Meconi, Simone Stirpe, Federico Martelli2025 · 18 citations
- Construction Grammar Provides Unique Insight into Neural Language ModelsLeonie Weissweiler, Taiqi He, Naoki Otani, et al.2023 · 18 citations
- Causal Interventions Reveal Shared Structure Across English Filler–Gap ConstructionsSasha Boguraev, Christopher Potts, Kyle Mahowald2025 · 13 citations
- Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based ApproachChuyuan Li, Yuwei Yin, Giuseppe Carenini2024 · 11 citations
- Child-Directed Language Does Not Consistently Boost Syntax Learning in Language ModelsFrancesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.2025 · 9 citations
- Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve TasksHarish Tayyar Madabushi, Claire Bonial2025 · 1 citation
- EduBench: A Portuguese Benchmark for Open-Ended Discursive Question AnsweringPedro Henrique Paiola, Luís Gabriel Damiati Mendes, Bruno de Oliveira Monchelato, et al.2026
- Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT ModelsGyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee2026
- Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-MakingKatsumasa Yoshikawa, Junya Takayama, Takato Yamazaki2026
- Sentiment Analysis and Language Models for KwanyamaNdapa Nakashole2026
- Word predictability estimates from language models are not robust to tokenizer vocabularyKien Nguyen, Suhas Arehalli2026
- ZIP: Quantifying Which Words Matter in Zero-Shot Instructional PromptsNikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.2026
- Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.2024
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