---
title: "Cornell University — works"
description: "30 works of Cornell University in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/publishers/cornell-university/works/"
---
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# Works of Cornell University

30 works · the most cited first · [← Cornell University](https://md.research.elamur.ai/free/en/publishers/cornell-university/)

1. [**EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks**Mingxing Tan, Quoc V. Le*2019 · 5,308 citations*](https://md.research.elamur.ai/free/en/papers/tan-2019-efficientnet-rethinking-model-scaling-convolutional/)
2. [**Fitting Linear Mixed-Effects Models Using lme4**Douglas Bates, Martin Mächler, Ben Bolker, et al.*2015 · 2,924 citations*](https://md.research.elamur.ai/free/en/papers/bates-2015-fitting-linear-mixed-effects-models/)
3. [**Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering**Michael Defferrard, Xavier Bresson, Pierre Vandergheynst*2016 · 1,797 citations*](https://md.research.elamur.ai/free/en/papers/defferrard-2016-convolutional-neural-networks-graphs-fast/)
4. [**Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models**Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.*2022 · 1,695 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/)
5. [**Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision**Chao Jia, Yinfei Yang, Ye Xia, et al.*2021 · 1,528 citations*](https://md.research.elamur.ai/free/en/papers/jia-2021-scaling-up-visual-vision-language/)
6. [**Big Bird: Transformers for Longer Sequences**Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.*2020 · 992 citations*](https://md.research.elamur.ai/free/en/papers/zaheer-2020-big-bird-transformers-longer-sequences/)
7. [**WizardLM: Empowering large pre-trained language models to follow complex instructions**Can Xu, Qingfeng Sun, Kai Zheng, et al.*2023 · 729 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-wizardlm-empowering-large-pre-trained/)
8. [**Advances in domain independent linear text segmentation**Freddy Y. Y. Choi*2000 · 694 citations*](https://md.research.elamur.ai/free/en/papers/choi-2000-advances-domain-independent-linear-text/)
9. [**MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering**Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu*2022 · 451 citations*](https://md.research.elamur.ai/free/en/papers/pal-2022-medmcqa-large-scale-multi-subject/)
10. [**A Corpus-Based Approach for Building Semantic Lexicons**Ellen Riloff, Jessica Shepherd*1997 · 229 citations*](https://md.research.elamur.ai/free/en/papers/riloff-1997-corpus-based-approach-building-semantic/)
11. [**Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?**Yang Yue, Zhiqi Chen, Rui Lu, et al.*2025 · 196 citations*](https://md.research.elamur.ai/free/en/papers/yue-2025-reinforcement-learning-really-incentivize-reasoning/)
12. [**Investigating Backtranslation in Neural Machine Translation**Alberto Poncelas, Dimitar Shterionov, Andy Way, et al.*2018 · 184 citations*](https://md.research.elamur.ai/free/en/papers/poncelas-2018-investigating-backtranslation-neural-machine-translation/)
13. [**The Linear Representation Hypothesis and the Geometry of Large Language Models**Kiho Park, Yo Joong Choe, Victor Veitch*2023 · 157 citations*](https://md.research.elamur.ai/free/en/papers/park-2023-linear-representation-hypothesis-geometry-large/)
14. [**I-BERT: Integer-only BERT Quantization**Sehoon Kim, Amir Gholami, Zhewei Yao, et al.*2021 · 118 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-i-bert-integer-only-bert/)
15. [**Corpus Annotation for Parser Evaluation**John Carroll, Guido Minnen, Ted Briscoe*1999 · 111 citations*](https://md.research.elamur.ai/free/en/papers/carroll-1999-corpus-annotation-parser-evaluation/)
16. [**Inverse Scaling: When Bigger Isn't Better**Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.*2023 · 99 citations*](https://md.research.elamur.ai/free/en/papers/mckenzie-2023-inverse-scaling-bigger-isn-t/)
17. [**Probabilistic Coreference in Information Extraction**Andrew Kehler*1997 · 74 citations*](https://md.research.elamur.ai/free/en/papers/kehler-1997-probabilistic-coreference-information-extraction/)
18. [**Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs**Nicolas Boizard, Kevin El Haddad, Celine Hudelot, et al.*2024 · 34 citations*](https://md.research.elamur.ai/free/en/papers/boizard-2024-towards-cross-tokenizer-distillation-universal/)
19. [**An Accurate Arabic Root-Based Lemmatizer for Information Retrieval Purposes**Tarek El-Shishtawy, Fatma El-Ghannam*2012 · 30 citations*](https://md.research.elamur.ai/free/en/papers/el-shishtawy-2012-accurate-arabic-root-based-lemmatizer/)
20. [**A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector Machine**Omar Al-Harbi*2019 · 27 citations*](https://md.research.elamur.ai/free/en/papers/al-harbi-2019-comparative-study-feature-selection-methods/)
21. [**Answer Extraction for Why Arabic Questions Answering Systems: EWAQ**Fatima T. AL-Khawaldeh*2015 · 15 citations*](https://md.research.elamur.ai/free/en/papers/al-khawaldeh-2019-answer-extraction-why-arabic-questions/)
22. [**Translating near-synonyms: Possibilities and preferences in the interlingua**Philip Edmonds*1998 · 14 citations*](https://md.research.elamur.ai/free/en/papers/edmonds-1998-translating-near-synonyms-possibilities-preferences/)
23. [**A Study of the Effect of Resolving Negation and Sentiment Analysis in Recognizing Text Entailment for Arabic**Fatima T. AL-Khawaldeh*2015 · 13 citations*](https://md.research.elamur.ai/free/en/papers/al-khawaldeh-2019-study-effect-resolving-negation-sentiment/)
24. [**A Freely Available Syntactic Lexicon for English**Dania Egedi, Patrick Martin*1994 · 9 citations*](https://md.research.elamur.ai/free/en/papers/egedi-1994-freely-available-syntactic-lexicon-english/)
25. [**Design of Arabic Diacritical Marks**Mohamed Hssini, Azzeddine Lazrek*2011 · 8 citations*](https://md.research.elamur.ai/free/en/papers/hssini-2011-design-arabic-diacritical-marks/)
26. [**Dependency Dialogue Acts — Annotation Scheme and Case Study**Jon Z. Cai, Brendan King, Margaret Perkoff, et al.*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/cai-2023-dependency-dialogue-acts-annotation-scheme/)
27. [**QVoice: Arabic Speech Pronunciation Learning Application**Yassine El Kheir, Fouad Khnaisser, Shammur Absar Chowdhury, et al.*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/kheir-2023-qvoice-arabic-speech-pronunciation-learning/)
28. [**The Pragmatics of Indirect Commands in Collaborative Discourse**Matthew Lamm, Mihail Eric*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/lamm-2017-pragmatics-indirect-commands-collaborative-discourse/)
29. [**A prototype for projecting HPSG syntactic lexica towards LMF**Kais Haddar, Hela Fehri, Laurent Romary*2012 · 1 citation*](https://md.research.elamur.ai/free/en/papers/haddar-2012-prototype-projecting-hpsg-syntactic-lexica/)
30. [**Towards stable AI systems for Evaluating Arabic Pronunciations**Hadi Zaatiti, Hatem Hajri, Osama Abdullah, et al.*2025*](https://md.research.elamur.ai/free/en/papers/zaatiti-2025-towards-stable-ai-systems-evaluating/)
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