--- title: "Other — papers, page 11" description: "Other: 743 papers of the Elamur Research library · page 11 of 30 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/other/page/11/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/other/page/11/) [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 11 # 📦 Other 743 papers · page 11 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/10/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [10](https://md.research.elamur.ai/free/en/shelves/other/page/10/) **11** [12](https://md.research.elamur.ai/free/en/shelves/other/page/12/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/12/) - [ShareGPT4V: Improving Large Multi-Modal Models with Better Captions](https://md.research.elamur.ai/free/en/papers/chen-2023-sharegpt4v-improving-large-multi-modal/) — Lin Chen, Jinsong Li, Xiaoyi Dong, et al. · 2023 - [Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic](https://md.research.elamur.ai/free/en/papers/chen-2023-shikra-unleashing-multimodal-llm-s/) — Keqin Chen, Zhao Zhang, Weili Zeng, et al. · 2023 - [SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects](https://md.research.elamur.ai/free/en/papers/adelani-2023-sib-200-simple-inclusive-big/) — David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al. · 2023 - [Sigmoid Loss for Language Image Pre-Training](https://md.research.elamur.ai/free/en/papers/zhai-2023-sigmoid-loss-language-image-pre/) — Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, et al. · 2023 - [Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-siren-s-song-ai-ocean/) — Yue Zhang, Yafu Li, Leyang Cui, et al. · 2023 - [SLiC-HF: Sequence Likelihood Calibration with Human Feedback](https://md.research.elamur.ai/free/en/papers/zhao-2023-slic-hf-sequence-likelihood-calibration/) — Yao Zhao, Rishabh Joshi, Tianqi Liu, et al. · 2023 - [SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks](https://md.research.elamur.ai/free/en/papers/robey-2023-smoothllm-defending-large-language-models/) — Alexander Robey, Eric Wong, Hamed Hassani, et al. · 2023 - [Sparks of Artificial General Intelligence: Early experiments with GPT-4](https://md.research.elamur.ai/free/en/papers/bubeck-2023-sparks-artificial-general-intelligence-early/) — Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al. · 2023 - [Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation](https://md.research.elamur.ai/free/en/papers/gao-2023-text-sql-empowered-large-language/) — Dawei Gao, Haibin Wang, Yaliang Li, et al. · 2023 - [The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)](https://md.research.elamur.ai/free/en/papers/yang-2023-dawn-lmms-preliminary-explorations-gpt/) — Zhengyuan Yang, Linjie Li, Kevin Lin, et al. · 2023 - [The Falcon Series of Open Language Models](https://md.research.elamur.ai/free/en/papers/almazrouei-2023-falcon-series-open-language-models/) — Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al. · 2023 - [The False Promise of Imitating Proprietary LLMs](https://md.research.elamur.ai/free/en/papers/gudibande-2023-false-promise-imitating-proprietary-llms/) — Arnav Gudibande, Eric Wallace, Charlie Snell, et al. · 2023 - [The Flan Collection: Designing Data and Methods for Effective Instruction Tuning](https://md.research.elamur.ai/free/en/papers/longpre-2023-flan-collection-designing-data-methods/) — Shayne Longpre, Le Hou, Tu Vu, et al. · 2023 - [TIES-Merging: Resolving Interference When Merging Models](https://md.research.elamur.ai/free/en/papers/yadav-2023-ties-merging-resolving-interference-merging/) — Prateek Yadav, Derek Tam, Leshem Choshen, et al. · 2023 - [Tool Learning with Foundation Models](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/) — Yujia Qin, Shengding Hu, Yankai Lin, et al. · 2023 - [ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings](https://md.research.elamur.ai/free/en/papers/hao-2023-toolkengpt-augmenting-frozen-language-models/) — Shibo Hao, Tianyang Liu, Zhen Wang, et al. · 2023 - [ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/) — Yujia Qin, Shihao Liang, Yining Ye, et al. · 2023 - [Towards Expert-Level Medical Question Answering with Large Language Models](https://md.research.elamur.ai/free/en/papers/singhal-2023-towards-expert-level-medical-question/) — Karan Singhal, Tao Tu, Juraj Gottweis, et al. · 2023 - [Towards General Text Embeddings with Multi-stage Contrastive Learning](https://md.research.elamur.ai/free/en/papers/li-2023-towards-general-text-embeddings-multi/) — Zehan Li, Xin Zhang, Yanzhao Zhang, et al. · 2023 - [Towards Understanding Sycophancy in Language Models](https://md.research.elamur.ai/free/en/papers/sharma-2023-towards-understanding-sycophancy-language-models/) — Mrinank Sharma, Meg Tong, Tomasz Korbak, et al. · 2023 - [Transformer-Patcher: One Mistake worth One Neuron](https://md.research.elamur.ai/free/en/papers/huang-2023-transformer-patcher-one-mistake-worth/) — Zeyu Huang, Yikang Shen, Xiaofeng Zhang, et al. · 2023 - [Tree of Attacks: Jailbreaking Black-Box LLMs Automatically](https://md.research.elamur.ai/free/en/papers/mehrotra-2023-tree-attacks-jailbreaking-black-box/) — Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, et al. · 2023 - [Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment](https://md.research.elamur.ai/free/en/papers/liu-2023-trustworthy-llms-survey-guideline-evaluating/) — Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li · 2023 - [Understanding the Effects of RLHF on LLM Generalisation and Diversity](https://md.research.elamur.ai/free/en/papers/kirk-2023-understanding-effects-rlhf-llm-generalisation/) — Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al. · 2023 - [Universal and Transferable Adversarial Attacks on Aligned Language Models](https://md.research.elamur.ai/free/en/papers/zou-2023-universal-transferable-adversarial-attacks-aligned/) — Andy Zou, Zifan Wang, Nicholas Carlini, et al. · 2023 [← prev](https://md.research.elamur.ai/free/en/shelves/other/page/10/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [10](https://md.research.elamur.ai/free/en/shelves/other/page/10/) **11** [12](https://md.research.elamur.ai/free/en/shelves/other/page/12/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/12/)