[논문리뷰] Eureka: Human-Level Reward Design via Coding Large Language Models
Eureka 논문 리뷰 (ICLR 2024)
논문리뷰 / Natural Language Processing (NLP)
[논문리뷰] Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
Wiki-LLaVA 논문 리뷰 (CVPRW 2024)
[논문리뷰] Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency 논문 리뷰 (ICLR 2023)
[논문리뷰] Chain-of-Thought Reasoning without Prompting
CoT-decoding 논문 리뷰
[논문리뷰] Differential Transformer
Diff Transformer 논문 리뷰
[논문리뷰] Self-Rewarding Language Models
Self-Rewarding Language Models 논문 리뷰
[논문리뷰] Large Language Models are Zero-Shot Reasoners
Zero-shot-CoT 논문 리뷰 (NeurIPS 2022)
[논문리뷰] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought (CoT) 논문 리뷰 (NeurIPS 2022)
[논문리뷰] Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
RAG 논문 리뷰 (NeurIPS 2020)
[논문리뷰] RoFormer: Enhanced Transformer with Rotary Position Embedding
RoFormer (Rotary Position Embedding, RoPE) 논문 리뷰
[논문리뷰] VideoPoet: A Large Language Model for Zero-Shot Video Generation
VideoPoet 논문 리뷰 (ICML 2024)
[논문리뷰] Mixture-of-Agents Enhances Large Language Model Capabilities
Mixture-of-Agents (MoA) 논문 리뷰
[논문리뷰] Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models
Monkey 논문 리뷰 (CVPR 2024)
[논문리뷰] Pixel Aligned Language Models
PixelLLM 논문 리뷰 (CVPR 2024)
[논문리뷰] PixelLM: Pixel Reasoning with Large Multimodal Model
PixelLM 논문 리뷰 (CVPR 2024)
[논문리뷰] Self-correcting LLM-controlled Diffusion Models
SLD 논문 리뷰 (CVPR 2024)
[논문리뷰] SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models
SmartEdit 논문 리뷰 (CVPR 2024)
[논문리뷰] LISA: Reasoning Segmentation via Large Language Model
LISA 논문 리뷰 (CVPR 2024)
[논문리뷰] Improved Baselines with Visual Instruction Tuning
LLaVA-1.5 논문 리뷰 (CVPR 2024)
[논문리뷰] Visual Instruction Tuning
LLaVA 논문 리뷰 (NeurIPS 2023 Oral)
[논문리뷰] Language-Image Models with 3D Understanding
Cube-LLM 논문 리뷰
[논문리뷰] LangSplat: 3D Language Gaussian Splatting
LangSplat 논문 리뷰 (CVPR 2024 Highlight)
[논문리뷰] SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model
SceneScript 논문 리뷰
[Technical Report 리뷰] Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini 1.5 Technical Report 리뷰
[논문리뷰] Direct Preference Optimization: Your Language Model is Secretly a Reward Model (DPO)
DPO 논문 리뷰
[논문리뷰] GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
GQA 논문 리뷰 (EMNLP 2023)
[논문리뷰] Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
Promptbreeder 논문 리뷰
[논문리뷰] AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
AR-Diffusion 논문 리뷰 (NeurIPS 2023)
[논문리뷰] Retentive Network: A Successor to Transformer for Large Language Models (RetNet)
Retentive Network 논문 리뷰
[논문리뷰] Structured Denoising Diffusion Models in Discrete State-Spaces (D3PM)
D3PM 논문 리뷰 (NeurIPS 2021)
[논문리뷰] Training language models to follow instructions with human feedback (InstructGPT / RLHF)
InstructGPT (RLHF) 논문 리뷰
[논문리뷰] Diffusion-LM Improves Controllable Text Generation
Diffusion-LM 논문 리뷰 (NeurIPS 2022)
[논문리뷰] SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers
SeqDiffuSeq 논문 리뷰
[논문리뷰] Latent Diffusion for Language Generation
Latent Diffusion for Language Generation 논문 리뷰 (NeurIPS 2023)