--- title: "Other — papers, page 17" description: "Other: 743 papers of the Elamur Research library · page 17 of 30 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/other/page/17/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/other/page/17/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Other](https://md.research.elamur.ai/free/en/shelves/other/) / page 17 # 📦 Other 743 papers · page 17 of 30 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Works whose topics fit none of the fields above yet. [← prev](https://md.research.elamur.ai/free/en/shelves/other/page/16/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [16](https://md.research.elamur.ai/free/en/shelves/other/page/16/) **17** [18](https://md.research.elamur.ai/free/en/shelves/other/page/18/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/18/) - [Generating Sentences by Editing Prototypes](https://md.research.elamur.ai/free/en/papers/guu-2017-generating-sentences-editing-prototypes/) — Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, et al. · 2017 · 404 citations - [Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis](https://md.research.elamur.ai/free/en/papers/fu-2024-video-mme-first-ever-comprehensive/) — Chaoyou Fu, Yuhan Dai, Yongdong Luo, et al. · 2024 · 403 citations - [True Few-Shot Learning with Language Models](https://md.research.elamur.ai/free/en/papers/perez-2021-true-few-shot-learning-language/) — Ethan Perez, Douwe Kiela, Kyunghyun Cho · 2021 · 403 citations - [The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes](https://md.research.elamur.ai/free/en/papers/kiela-2020-hateful-memes-challenge-detecting-hate/) — Douwe Kiela, Hamed Firooz, Aravind Mohan, et al. · 2020 · 403 citations - [Yi: Open Foundation Models by 01.AI](https://md.research.elamur.ai/free/en/papers/ai-2024-yi-open-foundation-models-01/) — Alex Young, Bei Chen, Chao Li, et al. · 2024 · 402 citations - [How to Fine-Tune BERT for Text Classification?](https://md.research.elamur.ai/free/en/papers/sun-2019-fine-tune-bert-text-classification/) — Chi Sun, Xipeng Qiu, Yige Xu, et al. · 2019 · 400 citations - [Massively Multilingual Word Embeddings](https://md.research.elamur.ai/free/en/papers/ammar-2016-massively-multilingual-word-embeddings/) — Waleed Ammar, George Mulcaire, Yulia Tsvetkov, et al. · 2016 · 399 citations - [FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech](https://md.research.elamur.ai/free/en/papers/conneau-2022-fleurs-few-shot-learning-evaluation/) — Alexis Conneau, Min Ma, Simran Khanuja, et al. · 2022 · 398 citations - [DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction](https://md.research.elamur.ai/free/en/papers/pourreza-2023-din-sql-decomposed-context-learning/) — Mohammadreza Pourreza, Davood Rafiei · 2023 · 397 citations - [Flow Matching for Generative Modeling](https://md.research.elamur.ai/free/en/papers/lipman-2022-flow-matching-generative-modeling/) — Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, et al. · 2022 · 397 citations - [Long Range Arena: A Benchmark for Efficient Transformers](https://md.research.elamur.ai/free/en/papers/tay-2020-long-range-arena-benchmark-efficient/) — Yi Tay, Mostafa Dehghani, Samira Abnar, et al. · 2020 · 396 citations - [LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2020-logiqa-challenge-dataset-machine-reading/) — Jian Liu, Leyang Cui, Hanmeng Liu, et al. · 2020 · 395 citations - [Gender Bias in Neural Natural Language Processing](https://md.research.elamur.ai/free/en/papers/lu-2018-gender-bias-neural-natural-language/) — Kaiji Lu, Piotr Mardziel, Fangjing Wu, et al. · 2018 · 394 citations - [Whose Opinions Do Language Models Reflect?](https://md.research.elamur.ai/free/en/papers/santurkar-2023-whose-opinions-language-models-reflect/) — Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al. · 2023 · 390 citations - [ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering](https://md.research.elamur.ai/free/en/papers/yu-2019-activitynet-qa-dataset-understanding-complex/) — Zhou Yu, Dejing Xu, Jun Yu, et al. · 2019 · 389 citations - [Large Language Models as Optimizers](https://md.research.elamur.ai/free/en/papers/yang-2023-large-language-models-optimizers/) — Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al. · 2023 · 388 citations - [BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models](https://md.research.elamur.ai/free/en/papers/ben-2021-zaken-bitfit-simple-parameter-efficient-fine/) — Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg · 2021 · 388 citations - [WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents](https://md.research.elamur.ai/free/en/papers/yao-2022-webshop-towards-scalable-real-world/) — Shunyu Yao, Howard Chen, John Yang, et al. · 2022 · 387 citations - [CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning](https://md.research.elamur.ai/free/en/papers/johnson-2016-clevr-diagnostic-dataset-compositional-language/) — Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al. · 2016 · 387 citations - [RULER: What's the Real Context Size of Your Long-Context Language Models?](https://md.research.elamur.ai/free/en/papers/hsieh-2024-ruler-s-real-context-size/) — Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, et al. · 2024 · 386 citations - [Representation Engineering: A Top-Down Approach to AI Transparency](https://md.research.elamur.ai/free/en/papers/zou-2023-representation-engineering-top-down-approach/) — Andy Zou, Long Phan, Sarah Chen, et al. · 2023 · 386 citations - [Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation](https://md.research.elamur.ai/free/en/papers/aroyo-2015-truth-lie-crowd-truth-seven/) — Lora M. Aroyo, Chris Welty · 2015 · 385 citations - [CMMLU: Measuring massive multitask language understanding in Chinese](https://md.research.elamur.ai/free/en/papers/li-2023-cmmlu-measuring-massive-multitask-language/) — Haonan Li, Yixuan Zhang, Fajri Koto, et al. · 2023 · 384 citations - [Multi30K: Multilingual English-German Image Descriptions](https://md.research.elamur.ai/free/en/papers/elliott-2016-multi30k-multilingual-english-german-image/) — Desmond Elliott, Stella Frank, Khalil Sima'an, et al. · 2016 · 383 citations - [Enhancing Chat Language Models by Scaling High-quality Instructional Conversations](https://md.research.elamur.ai/free/en/papers/ding-2023-enhancing-chat-language-models-scaling/) — Ning Ding, Yulin Chen, Bokai Xu, et al. · 2023 · 382 citations [← prev](https://md.research.elamur.ai/free/en/shelves/other/page/16/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [16](https://md.research.elamur.ai/free/en/shelves/other/page/16/) **17** [18](https://md.research.elamur.ai/free/en/shelves/other/page/18/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/18/)