---
title: "Other — papers, page 12"
description: "Other: 743 papers of the Elamur Research library · page 12 of 30 — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/shelves/other/page/12/"
---
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# 📦 Other

743 papers · page 12 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/11/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [11](https://md.research.elamur.ai/free/en/shelves/other/page/11/) **12** [13](https://md.research.elamur.ai/free/en/shelves/other/page/13/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/13/)

- [Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration](https://md.research.elamur.ai/free/en/papers/wang-2023-unleashing-emergent-cognitive-synergy-large/) — Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al. · 2023
- [Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models](https://md.research.elamur.ai/free/en/papers/maaz-2023-video-chatgpt-towards-detailed-video/) — Muhammad Maaz, Hanoona Rasheed, Salman Khan, et al. · 2023
- [Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding](https://md.research.elamur.ai/free/en/papers/zhang-2023-video-llama-instruction-tuned-audio/) — Hang Zhang, Xin Li, Lidong Bing · 2023
- [Video-LLaVA: Learning United Visual Representation by Alignment Before Projection](https://md.research.elamur.ai/free/en/papers/lin-2023-video-llava-learning-united-visual/) — Bin Lin, Yang Ye, Bin Zhu, et al. · 2023
- [VideoChat: Chat-Centric Video Understanding](https://md.research.elamur.ai/free/en/papers/li-2023-videochat-chat-centric-video-understanding/) — KunChang Li, Yinan He, Yi Wang, et al. · 2023
- [VILA: On Pre-training for Visual Language Models](https://md.research.elamur.ai/free/en/papers/lin-2023-vila-pre-training-visual-language/) — Ji Lin, Hongxu Yin, Wei Ping, et al. · 2023
- [ViperGPT: Visual Inference via Python Execution for Reasoning](https://md.research.elamur.ai/free/en/papers/suris-2023-vipergpt-visual-inference-python-execution/) — Didac Suris, Sachit Menon, Carl Vondrick · 2023
- [Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models](https://md.research.elamur.ai/free/en/papers/wu-2023-visual-chatgpt-talking-drawing-editing/) — Chenfei Wu, Shengming Yin, Weizhen Qi, et al. · 2023
- [Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-visual-instruction-tuning/) — Haotian Liu, Chunyuan Li, Qingyang Wu, et al. · 2023
- [WebArena: A Realistic Web Environment for Building Autonomous Agents](https://md.research.elamur.ai/free/en/papers/zhou-2023-webarena-realistic-web-environment-building/) — Shuyan Zhou, Frank F. Xu, Hao Zhu, et al. · 2023
- [What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-makes-good-data-alignment-comprehensive/) — Wei Liu, Weihao Zeng, Keqing He, et al. · 2023
- [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
- [XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models](https://md.research.elamur.ai/free/en/papers/rottger-2023-xstest-test-suite-identifying-exaggerated/) — Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al. · 2023
- [A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge](https://md.research.elamur.ai/free/en/papers/schwenk-2022-okvqa-benchmark-visual-question-answering/) — Dustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al. · 2022
- [Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models](https://md.research.elamur.ai/free/en/papers/bohnet-2022-attributed-question-answering-evaluation-modeling/) — Bernd Bohnet, Vinh Q. Tran, Pat Verga, et al. · 2022
- [AudioLM: a Language Modeling Approach to Audio Generation](https://md.research.elamur.ai/free/en/papers/borsos-2022-audiolm-language-modeling-approach-audio/) — Zalan Borsos, Raphael Marinier, Damien Vincent, et al. · 2022
- [Automatic Chain of Thought Prompting in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2022-automatic-chain-thought-prompting-large/) — Zhuosheng Zhang, Aston Zhang, Mu Li, et al. · 2022
- [Binding Language Models in Symbolic Languages](https://md.research.elamur.ai/free/en/papers/cheng-2022-binding-language-models-symbolic-languages/) — Zhoujun Cheng, Tianbao Xie, Peng Shi, et al. · 2022
- [BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage](https://md.research.elamur.ai/free/en/papers/shuster-2022-blenderbot-3-deployed-conversational-agent/) — Kurt Shuster, Jing Xu, Mojtaba Komeili, et al. · 2022
- [BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation](https://md.research.elamur.ai/free/en/papers/li-2022-blip-bootstrapping-language-image-pre/) — Junnan Li, Dongxu Li, Caiming Xiong, et al. · 2022
- [Classifier-Free Diffusion Guidance](https://md.research.elamur.ai/free/en/papers/ho-2022-classifier-free-diffusion-guidance/) — Jonathan Ho, Tim Salimans · 2022
- [CoCa: Contrastive Captioners are Image-Text Foundation Models](https://md.research.elamur.ai/free/en/papers/yu-2022-coca-contrastive-captioners-image-text/) — Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al. · 2022
- [Complexity-Based Prompting for Multi-Step Reasoning](https://md.research.elamur.ai/free/en/papers/fu-2022-complexity-based-prompting-multi-step/) — Yao Fu, Hao Peng, Ashish Sabharwal, et al. · 2022
- [Contrastive Decoding: Open-ended Text Generation as Optimization](https://md.research.elamur.ai/free/en/papers/li-2022-contrastive-decoding-open-ended-text/) — Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al. · 2022
- [Crosslingual Generalization through Multitask Finetuning](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-crosslingual-generalization-through-multitask-finetuning/) — Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al. · 2022

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