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Collections including paper arxiv:2410.18057

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 121
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

Papers - Fine-tuning - Machine Unlearning

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 209

浏览论文收藏

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

Paper • 2402.17764 • Published Feb 27, 2024 • 628
CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 209
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders

Paper • 2410.22366 • Published Oct 28, 2024 • 84
Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published Sep 27, 2024 • 98

Dataset model cleaning

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 209

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

StdGEN: Semantic-Decomposed 3D Character Generation from Single Images

Paper • 2411.05738 • Published Nov 8, 2024 • 14
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents

Paper • 2410.22476 • Published Oct 29, 2024 • 27
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Paper • 2410.23218 • Published Oct 30, 2024 • 49
Training-free Regional Prompting for Diffusion Transformers

Paper • 2411.02395 • Published Nov 4, 2024 • 25

Papers - Fine-tuning - ResNet

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 209

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 209
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

Paper • 2410.23090 • Published Oct 30, 2024 • 55
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

Paper • 2410.23743 • Published Oct 31, 2024 • 64
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization

Paper • 2411.02355 • Published Nov 4, 2024 • 52

PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs

Paper • 2410.05265 • Published Oct 7, 2024 • 33
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents

Paper • 2410.03450 • Published Oct 4, 2024 • 36
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code

Paper • 2410.08196 • Published Oct 10, 2024 • 48
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Paper • 2410.07303 • Published Oct 9, 2024 • 19

Multimodal Benchmarks

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9, 2024 • 47
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17, 2024 • 35
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16, 2024 • 16
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5, 2024 • 62

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 121
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

StdGEN: Semantic-Decomposed 3D Character Generation from Single Images

Paper • 2411.05738 • Published Nov 8, 2024 • 14
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents

Paper • 2410.22476 • Published Oct 29, 2024 • 27
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Paper • 2410.23218 • Published Oct 30, 2024 • 49
Training-free Regional Prompting for Diffusion Transformers

Paper • 2411.02395 • Published Nov 4, 2024 • 25

Papers - Fine-tuning - Machine Unlearning

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 209

Papers - Fine-tuning - ResNet

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 209

浏览论文收藏

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

Paper • 2402.17764 • Published Feb 27, 2024 • 628
CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 209
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders

Paper • 2410.22366 • Published Oct 28, 2024 • 84
Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published Sep 27, 2024 • 98

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 209
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

Paper • 2410.23090 • Published Oct 30, 2024 • 55
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

Paper • 2410.23743 • Published Oct 31, 2024 • 64
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization

Paper • 2411.02355 • Published Nov 4, 2024 • 52

Dataset model cleaning

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 209

PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs

Paper • 2410.05265 • Published Oct 7, 2024 • 33
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents

Paper • 2410.03450 • Published Oct 4, 2024 • 36
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code

Paper • 2410.08196 • Published Oct 10, 2024 • 48
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Paper • 2410.07303 • Published Oct 9, 2024 • 19

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

Multimodal Benchmarks

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9, 2024 • 47
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17, 2024 • 35
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16, 2024 • 16
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5, 2024 • 62

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