哈喽大家好,5月热门论文必读论文总结来啦!
在过去的5月,谷歌和OpenAI双双提出“技术报告”,谷歌提出PaLM-2,推理超越 GPT-4,而OpenAI直指DeepMind,出手解决GPT-4数学推理,论文数据集全开放。
大模型从去年ChatGPT发布后到今年5月,一直是热门研究方向。根据AMiner平台论文浏览量和收藏量,5月,一共有35篇热门论文新鲜出炉,分别来自OpenAI、谷歌、Meta、微软、清华大学、华为等机构。
论文列表如下(点击阅读原文可直接使用ChatPaper):
1.QLORA: Efficient Finetuning of Quantized LLMs
2.Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
3.Let’s Verify Step by Step
4.OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities
5.Voyager: An Open-Ended Embodied Agent with Large Language Models
6.Tree of Thoughts: Deliberate Problem Solving with Large Language Models
7.Backpack Language Models
8.Controllable Text-to-Image Generation with GPT-4
9.HuatuoGPT, towards Taming Language Model to Be a Doctor
10.Large Language Models as Tool Makers
11.Specifer: Accelerating Generative LLM Serving with Speculative Inference and Token Tree Verification
12.Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
13.ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
14.RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text
15.Ghost in the Minecraft: Generally Capable Agents for Open-World Enviroments via Large Language Models with Text-based Knowledge and Memory
16.VanillaNet: the Power of Minimalism in Deep Learning
17.Gorilla: Large Language Model Connected with Massive APIs
18.Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
19.RWKV: Reinventing RNNs for the Transformer Era
20.C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
21.M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models
22.LIMA: Less Is More for Alignment
23.Any-to-Any Generation via Composable Diffusion
24.Evidence of Meaning in Language Models Trained on Programs
25.A Comprehensive Survey on Segment Anything Model for Vision and Beyond
26.Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
27.SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
28.Transfer Visual Prompt Generator across LLMs
29.Unlimiformer: Long-Range Transformers with Unlimited Length Input
30.AutoML-GPT: Automatic Machine Learning with GPT
31.GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking
32.Shap-E: Generating Conditional 3D Implicit Functions
33.Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
34.PaLM 2 Technical Report
35.ImageBind: One Embedding Space To Bind Them All
点击下方链接可查看所有论文:
https://www.aminer.cn/topic/647daec0583c9a41be74e7b7
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