NLPBada (Sun Donghae)

upvoted a paper 1 day ago

Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published 5 days ago • 62

upvoted a paper 7 days ago

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models

Paper • 2409.16191 • Published 8 days ago • 38

upvoted a paper 9 days ago

Imagine yourself: Tuning-Free Personalized Image Generation

Paper • 2409.13346 • Published 12 days ago • 64

upvoted a paper 11 days ago

Training Language Models to Self-Correct via Reinforcement Learning

Paper • 2409.12917 • Published 13 days ago • 127

upvoted a paper 14 days ago

OmniGen: Unified Image Generation

Paper • 2409.11340 • Published 15 days ago • 80

upvoted a paper 20 days ago

PingPong: A Benchmark for Role-Playing Language Models with User Emulation and Multi-Model Evaluation

Paper • 2409.06820 • Published 21 days ago • 58

upvoted a paper 22 days ago

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data

Paper • 2409.03810 • Published 27 days ago • 30

upvoted a paper 25 days ago

Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing

Paper • 2409.01322 • Published 30 days ago • 95

upvoted a paper about 1 month ago

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92

upvoted 2 papers about 2 months ago

Transformer Explainer: Interactive Learning of Text-Generative Models

Paper • 2408.04619 • Published Aug 8 • 152

Gemma 2: Improving Open Language Models at a Practical Size

Paper • 2408.00118 • Published Jul 31 • 73

upvoted a paper 2 months ago

Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models

Paper • 2407.12327 • Published Jul 17 • 75

upvoted 5 papers 3 months ago

upvoted 5 papers 4 months ago

MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs

Paper • 2406.11833 • Published Jun 17 • 61

XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning

Paper • 2406.08973 • Published Jun 13 • 85

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Paper • 2406.01574 • Published Jun 3 • 42

An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85

Your Transformer is Secretly Linear

Paper • 2405.12250 • Published May 19 • 150

upvoted 11 papers 5 months ago

Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 125

ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models

Paper • 2405.09220 • Published May 15 • 24

What matters when building vision-language models?

Paper • 2405.02246 • Published May 3 • 98

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67

LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

Paper • 2405.00732 • Published Apr 29 • 118

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Paper • 2405.01535 • Published May 2 • 114

Layer Skip: Enabling Early Exit Inference and Self-Speculative Decoding

Paper • 2404.16710 • Published Apr 25 • 57

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 53

OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Paper • 2404.14619 • Published Apr 22 • 124

SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22 • 23

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22 • 251

upvoted 18 papers 6 months ago

Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15 • 82

Neural Network Diffusion

Paper • 2402.13144 • Published Feb 20 • 94

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Paper • 2402.14905 • Published Feb 22 • 108

Simple and Scalable Strategies to Continually Pre-train Large Language Models

Paper • 2403.08763 • Published Mar 13 • 48

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14 • 124

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 31

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 83

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9 • 63

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Paper • 2404.07143 • Published Apr 10 • 103

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 96

StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29 • 133

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6 • 182

Stealing Part of a Production Language Model

Paper • 2403.06634 • Published Mar 11 • 90

LLM Agent Operating System

Paper • 2403.16971 • Published Mar 25 • 64

The Unreasonable Ineffectiveness of the Deeper Layers

Paper • 2403.17887 • Published Mar 26 • 77

Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 103

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2 • 103

ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4 • 87

upvoted a collection 6 months ago

Korean Pretraining Dataset

Collection

15 items • Updated Jul 22 • 10

upvoted 3 papers 7 months ago

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 592

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21 • 111

Speculative Streaming: Fast LLM Inference without Auxiliary Models

Paper • 2402.11131 • Published Feb 16 • 41

upvoted 3 papers 8 months ago

Generative Representational Instruction Tuning

Paper • 2402.09906 • Published Feb 15 • 51

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning

Paper • 2402.06619 • Published Feb 9 • 52

Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment

Paper • 2401.12474 • Published Jan 23 • 33

upvoted 2 papers 9 months ago

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 141

TinyLlama: An Open-Source Small Language Model

Paper • 2401.02385 • Published Jan 4 • 89

Sun Donghae

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