PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
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2402.08714
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Published
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11
Papers to read
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Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 23 -
RLVF: Learning from Verbal Feedback without Overgeneralization
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Coercing LLMs to do and reveal (almost) anything
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OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
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TinyLLaVA: A Framework of Small-scale Large Multimodal Models
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LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
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Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
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Beyond Language Models: Byte Models are Digital World Simulators
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Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters
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ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs
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Evaluating and Mitigating Discrimination in Language Model Decisions
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PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
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Is Cosine-Similarity of Embeddings Really About Similarity?
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Multistep Consistency Models
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LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
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V3D: Video Diffusion Models are Effective 3D Generators
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Mixtral of Experts
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RAFT: Adapting Language Model to Domain Specific RAG
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Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation
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Can large language models explore in-context?
Paper • 2403.15371 • Published • 32 -
DreamLIP: Language-Image Pre-training with Long Captions
Paper • 2403.17007 • Published • 1 -
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models
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LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
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Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
Paper • 2404.02905 • Published • 65 -
Stream of Search (SoS): Learning to Search in Language
Paper • 2404.03683 • Published • 29 -
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
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Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
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Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations
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Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 30 -
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
Paper • 2404.09967 • Published • 20 -
MeshLRM: Large Reconstruction Model for High-Quality Mesh
Paper • 2404.12385 • Published • 26 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 29 -
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Paper • 2404.13013 • Published • 30 -
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
Paper • 2404.14396 • Published • 18 -
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study
Paper • 2404.14047 • Published • 44 -
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Paper • 2404.14507 • Published • 21 -
InstantFamily: Masked Attention for Zero-shot Multi-ID Image Generation
Paper • 2404.19427 • Published • 71 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
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Corrective Retrieval Augmented Generation
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Observational Scaling Laws and the Predictability of Language Model Performance
Paper • 2405.10938 • Published • 11 -
Your Transformer is Secretly Linear
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Diffusion for World Modeling: Visual Details Matter in Atari
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LANISTR: Multimodal Learning from Structured and Unstructured Data
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Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts
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Not All Language Model Features Are Linear
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Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
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Phased Consistency Model
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MotionLLM: Understanding Human Behaviors from Human Motions and Videos
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Xwin-LM: Strong and Scalable Alignment Practice for LLMs
Paper • 2405.20335 • Published • 17 -
LLMs achieve adult human performance on higher-order theory of mind tasks
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Show, Don't Tell: Aligning Language Models with Demonstrated Feedback
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Guiding a Diffusion Model with a Bad Version of Itself
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PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM
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Block Transformer: Global-to-Local Language Modeling for Fast Inference
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MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
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Large Language Model Unlearning via Embedding-Corrupted Prompts
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TextGrad: Automatic "Differentiation" via Text
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Make It Count: Text-to-Image Generation with an Accurate Number of Objects
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XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
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MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs
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mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Paper • 2406.11839 • Published • 37 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
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Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
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Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation
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Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
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The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing
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A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
Paper • 2406.14972 • Published • 7 -
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Paper • 2406.13457 • Published • 16 -
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
Paper • 2406.12430 • Published • 7 -
Weight subcloning: direct initialization of transformers using larger pretrained ones
Paper • 2312.09299 • Published • 17 -
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
Paper • 2406.17419 • Published • 16 -
Large Language Models Assume People are More Rational than We Really are
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Video-Infinity: Distributed Long Video Generation
Paper • 2406.16260 • Published • 28 -
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Adam-mini: Use Fewer Learning Rates To Gain More
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OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
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LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
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A Single Transformer for Scalable Vision-Language Modeling
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Video Diffusion Alignment via Reward Gradients
Paper • 2407.08737 • Published • 48 -
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
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Paper • 2407.09121 • Published • 5 -
GAVEL: Generating Games Via Evolution and Language Models
Paper • 2407.09388 • Published • 14 -
Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data
Paper • 2407.08726 • Published • 8 -
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
Paper • 2407.08303 • Published • 17 -
NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?
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Paper • 2402.07282 • Published • 1 -
Fewer Truncations Improve Language Modeling
Paper • 2404.10830 • Published • 3 -
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
Paper • 2407.00256 • Published • 1 -
Provably Robust DPO: Aligning Language Models with Noisy Feedback
Paper • 2403.00409 • Published • 1 -
Efficient Exploration for LLMs
Paper • 2402.00396 • Published • 21 -
Text2SQL is Not Enough: Unifying AI and Databases with TAG
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Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance
Paper • 2409.04593 • Published • 23