---
title: "AI & machine learning — papers, page 5"
description: "AI & machine learning: 209 papers of the Elamur Research library · page 5 of 9 — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/shelves/ai/page/5/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/ai/page/5/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [AI & machine learning](https://md.research.elamur.ai/free/en/shelves/ai/) / page 5

# 🤖 AI & machine learning

209 papers · page 5 of 9 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Neural networks and learning, reasoning, knowledge graphs, continual and interactive learning, how AI is evaluated.

[← prev](https://md.research.elamur.ai/free/en/shelves/ai/page/4/) [1](https://md.research.elamur.ai/free/en/shelves/ai/) [2](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/ai/page/3/) [4](https://md.research.elamur.ai/free/en/shelves/ai/page/4/) **5** [6](https://md.research.elamur.ai/free/en/shelves/ai/page/6/) [7](https://md.research.elamur.ai/free/en/shelves/ai/page/7/) [8](https://md.research.elamur.ai/free/en/shelves/ai/page/8/) [9](https://md.research.elamur.ai/free/en/shelves/ai/page/9/) [next →](https://md.research.elamur.ai/free/en/shelves/ai/page/6/)

- [Personality Traits in Large Language Models](https://md.research.elamur.ai/free/en/papers/serapio-2023-garcia-personality-traits-large-language-models/) — Greg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al. · 2023
- [Physics of Language Models: Part 3.1, Knowledge Storage and Extraction](https://md.research.elamur.ai/free/en/papers/allen-2023-zhu-physics-language-models-part-3/) — Zeyuan Allen-Zhu, Yuanzhi Li · 2023
- [Prometheus: Inducing Fine-grained Evaluation Capability in Language Models](https://md.research.elamur.ai/free/en/papers/kim-2023-prometheus-inducing-fine-grained-evaluation/) — Seungone Kim, Jamin Shin, Yejin Cho, et al. · 2023
- [Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution](https://md.research.elamur.ai/free/en/papers/fernando-2023-promptbreeder-self-referential-self-improvement/) — Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, et al. · 2023
- [Qwen Technical Report](https://md.research.elamur.ai/free/en/papers/bai-2023-qwen-technical-report/) — Jinze Bai, Shuai Bai, Yunfei Chu, et al. · 2023
- [RA-DIT: Retrieval-Augmented Dual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/lin-2023-ra-dit-retrieval-augmented-dual/) — Xi Victoria Lin, Xilun Chen, Mingda Chen, et al. · 2023
- [Ragas: Automated Evaluation of Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/es-2023-ragas-automated-evaluation-retrieval-augmented/) — Shahul Es, Jithin James, Luis Espinosa-Anke, et al. · 2023
- [Retrieval meets Long Context Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2023-retrieval-meets-long-context-large/) — Peng Xu, Wei Ping, Xianchao Wu, et al. · 2023
- [Seamless: Multilingual Expressive and Streaming Speech Translation](https://md.research.elamur.ai/free/en/papers/communication-2023-seamless-multilingual-expressive-streaming-speech/) — Seamless Communication, Loic Barrault, Yu-An Chung, et al. · 2023
- [SeamlessM4T: Massively Multilingual & Multimodal Machine Translation](https://md.research.elamur.ai/free/en/papers/communication-2023-seamlessm4t-massively-multilingual-multimodal-machine/) — Seamless Communication, Loic Barrault, Yu-An Chung, et al. · 2023
- [SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents](https://md.research.elamur.ai/free/en/papers/zhou-2023-sotopia-interactive-evaluation-social-intelligence/) — Xuhui Zhou, Hao Zhu, Leena Mathur, et al. · 2023
- [Steering Language Models With Activation Engineering](https://md.research.elamur.ai/free/en/papers/turner-2023-steering-language-models-activation-engineering/) — Alexander Matt Turner, Lisa Thiergart, Gavin Leech, et al. · 2023
- [Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-factuality-large-language-models/) — Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al. · 2023
- [The Capacity for Moral Self-Correction in Large Language Models](https://md.research.elamur.ai/free/en/papers/ganguli-2023-capacity-moral-self-correction-large/) — Deep Ganguli, Amanda Askell, Nicholas Schiefer, et al. · 2023
- [The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/akerman-2023-ebible-corpus-data-model-benchmarks/) — Vesa Akerman, David Baines, Damien Daspit, et al. · 2023
- [The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets](https://md.research.elamur.ai/free/en/papers/marks-2023-geometry-truth-emergent-linear-structure/) — Samuel Marks, Max Tegmark · 2023
- [The Internal State of an LLM Knows When It's Lying](https://md.research.elamur.ai/free/en/papers/azaria-2023-internal-state-llm-knows-when/) — Amos Azaria, Tom Mitchell · 2023
- [The Linear Representation Hypothesis and the Geometry of Large Language Models](https://md.research.elamur.ai/free/en/papers/park-2023-linear-representation-hypothesis-geometry-large/) — Kiho Park, Yo Joong Choe, Victor Veitch · 2023
- [The Rise and Potential of Large Language Model Based Agents: A Survey](https://md.research.elamur.ai/free/en/papers/xi-2023-rise-potential-large-language/) — Zhiheng Xi, Wenxiang Chen, Xin Guo, et al. · 2023
- [The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning](https://md.research.elamur.ai/free/en/papers/lin-2023-unlocking-spell-base-llms-rethinking/) — Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al. · 2023
- [ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases](https://md.research.elamur.ai/free/en/papers/tang-2023-toolalpaca-generalized-tool-learning-language/) — Qiaoyu Tang, Ziliang Deng, Hongyu Lin, et al. · 2023
- [ToolQA: A Dataset for LLM Question Answering with External Tools](https://md.research.elamur.ai/free/en/papers/zhuang-2023-toolqa-dataset-llm-question-answering/) — Yuchen Zhuang, Yue Yu, Kuan Wang, et al. · 2023
- [Towards Measuring the Representation of Subjective Global Opinions in Language Models](https://md.research.elamur.ai/free/en/papers/durmus-2023-towards-measuring-representation-subjective-global/) — Esin Durmus, Karina Nguyen, Thomas I. Liao, et al. · 2023
- [Unifying Large Language Models and Knowledge Graphs: A Roadmap](https://md.research.elamur.ai/free/en/papers/pan-2023-unifying-large-language-models-knowledge/) — Shirui Pan, Linhao Luo, Yufei Wang, et al. · 2023
- [xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval](https://md.research.elamur.ai/free/en/papers/khan-2023-xcodeeval-large-scale-multilingual-multitask/) — Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al. · 2023

[← prev](https://md.research.elamur.ai/free/en/shelves/ai/page/4/) [1](https://md.research.elamur.ai/free/en/shelves/ai/) [2](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/ai/page/3/) [4](https://md.research.elamur.ai/free/en/shelves/ai/page/4/) **5** [6](https://md.research.elamur.ai/free/en/shelves/ai/page/6/) [7](https://md.research.elamur.ai/free/en/shelves/ai/page/7/) [8](https://md.research.elamur.ai/free/en/shelves/ai/page/8/) [9](https://md.research.elamur.ai/free/en/shelves/ai/page/9/) [next →](https://md.research.elamur.ai/free/en/shelves/ai/page/6/)
