MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper
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2403.09611
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Published
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124
To read... eventually
A collection of papers that i have read or plan to read all in one place. Includes a wide range of topics.
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Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 50 -
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Paper • 2402.03766 • Published • 12 -
LLM Agent Operating System
Paper • 2403.16971 • Published • 65 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 104 -
ReALM: Reference Resolution As Language Modeling
Paper • 2403.20329 • Published • 21 -
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models
Paper • 2403.20331 • Published • 14 -
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Paper • 2404.07143 • Published • 104 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 43 -
FABLES: Evaluating faithfulness and content selection in book-length summarization
Paper • 2404.01261 • Published • 3 -
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper • 2305.13245 • Published • 5 -
Video as the New Language for Real-World Decision Making
Paper • 2402.17139 • Published • 18 -
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 126 -
Pegasus-v1 Technical Report
Paper • 2404.14687 • Published • 30 -
Transformers Can Represent n-gram Language Models
Paper • 2404.14994 • Published • 18 -
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
Paper • 2311.05908 • Published • 12 -
Question Aware Vision Transformer for Multimodal Reasoning
Paper • 2402.05472 • Published • 8 -
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
Paper • 2404.13207 • Published -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 52 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 118 -
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
Paper • 2405.01535 • Published • 119 -
You Only Cache Once: Decoder-Decoder Architectures for Language Models
Paper • 2405.05254 • Published • 10 -
SUTRA: Scalable Multilingual Language Model Architecture
Paper • 2405.06694 • Published • 37 -
What matters when building vision-language models?
Paper • 2405.02246 • Published • 100 -
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model
Paper • 2405.09215 • Published • 18 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 87 -
Many-Shot In-Context Learning in Multimodal Foundation Models
Paper • 2405.09798 • Published • 26 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 46 -
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
Paper • 2405.12981 • Published • 28 -
Your Transformer is Secretly Linear
Paper • 2405.12250 • Published • 149 -
Aya 23: Open Weight Releases to Further Multilingual Progress
Paper • 2405.15032 • Published • 27 -
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
Paper • 2404.19752 • Published • 22 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 86 -
Dense Connector for MLLMs
Paper • 2405.13800 • Published • 21 -
Jina CLIP: Your CLIP Model Is Also Your Text Retriever
Paper • 2405.20204 • Published • 34 -
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
Paper • 2405.19893 • Published • 29 -
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
Paper • 2403.11703 • Published • 16 -
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Paper • 2405.21060 • Published • 63 -
xLSTM: Extended Long Short-Term Memory
Paper • 2405.04517 • Published • 12 -
To Believe or Not to Believe Your LLM
Paper • 2406.02543 • Published • 32 -
σ-GPTs: A New Approach to Autoregressive Models
Paper • 2404.09562 • Published • 4 -
Scalable MatMul-free Language Modeling
Paper • 2406.02528 • Published • 11 -
Transformers meet Neural Algorithmic Reasoners
Paper • 2406.09308 • Published • 43 -
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Paper • 2406.07522 • Published • 37 -
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus
Paper • 2406.08707 • Published • 15 -
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Paper • 2406.15319 • Published • 62 -
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
Paper • 2311.06242 • Published • 86 -
Preference Tuning For Toxicity Mitigation Generalizes Across Languages
Paper • 2406.16235 • Published • 11 -
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Paper • 2406.17557 • Published • 87 -
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
Paper • 2406.16838 • Published • 2 -
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
Paper • 2407.03320 • Published • 93 -
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Paper • 2407.04620 • Published • 27 -
LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages
Paper • 2407.05975 • Published • 34 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 37 -
Unveiling Encoder-Free Vision-Language Models
Paper • 2406.11832 • Published • 50 -
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
Paper • 2407.07093 • Published • 1 -
Qwen2 Technical Report
Paper • 2407.10671 • Published • 160 -
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
Paper • 2407.10457 • Published • 22 -
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
Paper • 2407.12772 • Published • 33 -
Qwen2-Audio Technical Report
Paper • 2407.10759 • Published • 54 -
On the Limitations of Compute Thresholds as a Governance Strategy
Paper • 2407.05694 • Published • 2 -
SAM 2: Segment Anything in Images and Videos
Paper • 2408.00714 • Published • 109 -
Gemma 2: Improving Open Language Models at a Practical Size
Paper • 2408.00118 • Published • 75 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 56 -
Medical SAM 2: Segment medical images as video via Segment Anything Model 2
Paper • 2408.00874 • Published • 45 -
Transformer Explainer: Interactive Learning of Text-Generative Models
Paper • 2408.04619 • Published • 155 -
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
Paper • 2408.02545 • Published • 35 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 41 -
LLM Pruning and Distillation in Practice: The Minitron Approach
Paper • 2408.11796 • Published • 57 -
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 63 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 123 -
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Paper • 2408.15237 • Published • 37 -
Graph Retrieval-Augmented Generation: A Survey
Paper • 2408.08921 • Published • 4 -
BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline
Paper • 2408.15079 • Published • 52 -
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Paper • 2408.14906 • Published • 138 -
Law of Vision Representation in MLLMs
Paper • 2408.16357 • Published • 92 -
WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
Paper • 2408.16532 • Published • 47 -
OLMoE: Open Mixture-of-Experts Language Models
Paper • 2409.02060 • Published • 77 -
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
Paper • 2409.02813 • Published • 28 -
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
Paper • 2409.05840 • Published • 45 -
MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery
Paper • 2409.05591 • Published • 29 -
LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture
Paper • 2409.02889 • Published • 55 -
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Paper • 2409.10516 • Published • 39 -
NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 72 -
One missing piece in Vision and Language: A Survey on Comics Understanding
Paper • 2409.09502 • Published • 23 -
A Controlled Study on Long Context Extension and Generalization in LLMs
Paper • 2409.12181 • Published • 43 -
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Paper • 2409.12191 • Published • 74 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 103 -
Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation Practices
Paper • 2408.09169 • Published • 1 -
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Paper • 2409.14924 • Published • 1 -
LLaVA-Critic: Learning to Evaluate Multimodal Models
Paper • 2410.02712 • Published • 35 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 92 -
Were RNNs All We Needed?
Paper • 2410.01201 • Published • 47 -
Aria: An Open Multimodal Native Mixture-of-Experts Model
Paper • 2410.05993 • Published • 107 -
Pixtral 12B
Paper • 2410.07073 • Published • 60 -
Differential Transformer
Paper • 2410.05258 • Published • 166 -
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
Paper • 2410.03450 • Published • 36 -
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Paper • 2410.05229 • Published • 21 -
Harnessing Webpage UIs for Text-Rich Visual Understanding
Paper • 2410.13824 • Published • 29 -
nGPT: Normalized Transformer with Representation Learning on the Hypersphere
Paper • 2410.01131 • Published • 9 -
HelpSteer2-Preference: Complementing Ratings with Preferences
Paper • 2410.01257 • Published • 21 -
Dense Transformer Networks
Paper • 1705.08881 • Published -
A Survey of Small Language Models
Paper • 2410.20011 • Published • 39 -
GPT-4o System Card
Paper • 2410.21276 • Published • 81 -
Transformers are Multi-State RNNs
Paper • 2401.06104 • Published • 36 -
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
Paper • 2006.16236 • Published • 3 -
FlexAttention for Efficient High-Resolution Vision-Language Models
Paper • 2407.20228 • Published • 1 -
MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding
Paper • 2408.11049 • Published • 12 -
An Empirical Model of Large-Batch Training
Paper • 1812.06162 • Published • 3 -
Measuring short-form factuality in large language models
Paper • 2411.04368 • Published • 2 -
LBPE: Long-token-first Tokenization to Improve Large Language Models
Paper • 2411.05504 • Published • 1 -
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Paper • 2411.04996 • Published • 49 -
Balancing Pipeline Parallelism with Vocabulary Parallelism
Paper • 2411.05288 • Published • 19 -
LLM2CLIP: Powerful Language Model Unlock Richer Visual Representation
Paper • 2411.04997 • Published • 37 -
Masked Autoencoders Are Scalable Vision Learners
Paper • 2111.06377 • Published • 3 -
Large Language Models Can Self-Improve in Long-context Reasoning
Paper • 2411.08147 • Published • 62 -
GIT: A Generative Image-to-text Transformer for Vision and Language
Paper • 2205.14100 • Published • 1 -
RouterBench: A Benchmark for Multi-LLM Routing System
Paper • 2403.12031 • Published • 3 -
Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation
Paper • 2409.11860 • Published • 1 -
Hymba: A Hybrid-head Architecture for Small Language Models
Paper • 2411.13676 • Published • 38 -
Multimodal Autoregressive Pre-training of Large Vision Encoders
Paper • 2411.14402 • Published • 41 -
TÜLU 3: Pushing Frontiers in Open Language Model Post-Training
Paper • 2411.15124 • Published • 55 -
Analyzing The Language of Visual Tokens
Paper • 2411.05001 • Published • 21 -
Toward Optimal Search and Retrieval for RAG
Paper • 2411.07396 • Published • 1 -
Understanding LLM Embeddings for Regression
Paper • 2411.14708 • Published • 2 -
Stronger Models are NOT Stronger Teachers for Instruction Tuning
Paper • 2411.07133 • Published • 32 -
LightRAG: Simple and Fast Retrieval-Augmented Generation
Paper • 2410.05779 • Published • 2 -
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
Paper • 2405.12971 • Published • 2 -
Text and Code Embeddings by Contrastive Pre-Training
Paper • 2201.10005 • Published -
Agent Skill Acquisition for Large Language Models via CycleQD
Paper • 2410.14735 • Published • 2 -
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability
Paper • 2411.19943 • Published • 50 -
Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
Paper • 2407.00079 • Published • 5 -
Reinforcement Learning: An Overview
Paper • 2412.05265 • Published • 3 -
Transformers Can Navigate Mazes With Multi-Step Prediction
Paper • 2412.05117 • Published • 5