--- title: "Other — papers, page 13" description: "Other: 743 papers of the Elamur Research library · page 13 of 30 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/other/page/13/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/other/page/13/) [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 13 # 📦 Other 743 papers · page 13 of 30 · newest 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/12/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [12](https://md.research.elamur.ai/free/en/shelves/other/page/12/) **13** [14](https://md.research.elamur.ai/free/en/shelves/other/page/14/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/14/) - [Deduplicating Training Data Mitigates Privacy Risks in Language Models](https://md.research.elamur.ai/free/en/papers/kandpal-2022-deduplicating-training-data-mitigates-privacy/) — Nikhil Kandpal, Eric Wallace, Colin Raffel · 2022 - [Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP](https://md.research.elamur.ai/free/en/papers/khattab-2022-demonstrate-search-predict-composing-retrieval/) — Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al. · 2022 - [Diffusion-LM Improves Controllable Text Generation](https://md.research.elamur.ai/free/en/papers/li-2022-diffusion-lm-improves-controllable-text/) — Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al. · 2022 - [Discovering Language Model Behaviors with Model-Written Evaluations](https://md.research.elamur.ai/free/en/papers/perez-2022-discovering-language-model-behaviors-model/) — Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al. · 2022 - [Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/lu-2022-dynamic-prompt-learning-policy-gradient/) — Pan Lu, Liang Qiu, Kai-Wei Chang, et al. · 2022 - [Editing Models with Task Arithmetic](https://md.research.elamur.ai/free/en/papers/ilharco-2022-editing-models-task-arithmetic/) — Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al. · 2022 - [Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/) — Ying Xu, Dakuo Wang, Mo Yu, et al. · 2022 - [Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning](https://md.research.elamur.ai/free/en/papers/liu-2022-few-shot-parameter-efficient-fine/) — Haokun Liu, Derek Tam, Mohammed Muqeeth, et al. · 2022 - [Flamingo: a Visual Language Model for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/alayrac-2022-flamingo-visual-language-model-few/) — Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al. · 2022 - [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 - [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 - [Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow](https://md.research.elamur.ai/free/en/papers/liu-2022-flow-straight-fast-learning-generate/) — Xingchao Liu, Chengyue Gong, Qiang Liu · 2022 - [FOLIO: Natural Language Reasoning with First-Order Logic](https://md.research.elamur.ai/free/en/papers/han-2022-folio-natural-language-reasoning-first/) — Simeng Han, Hailey Schoelkopf, Yilun Zhao, et al. · 2022 - [Generate rather than Retrieve: Large Language Models are Strong Context Generators](https://md.research.elamur.ai/free/en/papers/yu-2022-generate-rather-than-retrieve-large/) — Wenhao Yu, Dan Iter, Shuohang Wang, et al. · 2022 - [Generating Sequences by Learning to Self-Correct](https://md.research.elamur.ai/free/en/papers/welleck-2022-generating-sequences-learning-self-correct/) — Sean Welleck, Ximing Lu, Peter West, et al. · 2022 - [Generating Training Data with Language Models: Towards Zero-Shot Language Understanding](https://md.research.elamur.ai/free/en/papers/meng-2022-generating-training-data-language-models/) — Yu Meng, Jiaxin Huang, Yu Zhang, et al. · 2022 - [GLM-130B: An Open Bilingual Pre-trained Model](https://md.research.elamur.ai/free/en/papers/zeng-2022-glm-130b-open-bilingual-pre/) — Aohan Zeng, Xiao Liu, Zhengxiao Du, et al. · 2022 - [Hierarchical Text-Conditional Image Generation with CLIP Latents](https://md.research.elamur.ai/free/en/papers/ramesh-2022-hierarchical-text-conditional-image-generation/) — Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, et al. · 2022 - [High Fidelity Neural Audio Compression](https://md.research.elamur.ai/free/en/papers/defossez-2022-high-fidelity-neural-audio-compression/) — Alexandre Defossez, Jade Copet, Gabriel Synnaeve, et al. · 2022 - [Ignore Previous Prompt: Attack Techniques For Language Models](https://md.research.elamur.ai/free/en/papers/perez-2022-ignore-previous-prompt-attack-techniques/) — Fabio Perez, Ian Ribeiro · 2022 - [Improving alignment of dialogue agents via targeted human judgements](https://md.research.elamur.ai/free/en/papers/glaese-2022-improving-alignment-dialogue-agents-targeted/) — Amelia Glaese, Nat McAleese, Maja Trębacz, et al. · 2022 - [Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions](https://md.research.elamur.ai/free/en/papers/trivedi-2022-interleaving-retrieval-chain-thought-reasoning/) — Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al. · 2022 - [Internet-augmented language models through few-shot prompting for open-domain question answering](https://md.research.elamur.ai/free/en/papers/lazaridou-2022-internet-augmented-language-models-through/) — Angeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, et al. · 2022 - [Is GPT-3 a Good Data Annotator?](https://md.research.elamur.ai/free/en/papers/ding-2022-gpt-3-good-data-annotator/) — Bosheng Ding, Chengwei Qin, Linlin Liu, et al. · 2022 - [Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/) — Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al. · 2022 [← prev](https://md.research.elamur.ai/free/en/shelves/other/page/12/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [12](https://md.research.elamur.ai/free/en/shelves/other/page/12/) **13** [14](https://md.research.elamur.ai/free/en/shelves/other/page/14/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/14/)