FLAME: Factuality-Aware Alignment for Large Language Models
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2405.01525
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Published
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27
Skynet
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DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 38 -
Transformers Can Do Arithmetic with the Right Embeddings
Paper • 2405.17399 • Published • 52 -
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture
Paper • 2405.18991 • Published • 12 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 58 -
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Paper • 2406.06525 • Published • 67 -
Transformers meet Neural Algorithmic Reasoners
Paper • 2406.09308 • Published • 44 -
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
Paper • 2406.12034 • Published • 15 -
A Closer Look into Mixture-of-Experts in Large Language Models
Paper • 2406.18219 • Published • 16 -
DiffusionPDE: Generative PDE-Solving Under Partial Observation
Paper • 2406.17763 • Published • 24 -
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data
Paper • 2406.18790 • Published • 34 -
Controlling Space and Time with Diffusion Models
Paper • 2407.07860 • Published • 17 -
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
Paper • 2407.07071 • Published • 12 -
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Paper • 2408.11878 • Published • 56 -
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
Paper • 2408.15915 • Published • 19 -
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 46 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 137 -
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
Paper • 2409.12903 • Published • 22 -
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Paper • 2409.16040 • Published • 14 -
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Paper • 2409.20566 • Published • 56 -
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Paper • 2410.10814 • Published • 50 -
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization
Paper • 2411.02355 • Published • 48 -
POINTS1.5: Building a Vision-Language Model towards Real World Applications
Paper • 2412.08443 • Published • 38 -
Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions
Paper • 2412.08737 • Published • 53 -
Multimodal Latent Language Modeling with Next-Token Diffusion
Paper • 2412.08635 • Published • 44 -
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 140 -
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
Paper • 2412.11919 • Published • 34 -
Smaller Language Models Are Better Instruction Evolvers
Paper • 2412.11231 • Published • 27 -
Learned Compression for Compressed Learning
Paper • 2412.09405 • Published • 13 -
GUI Agents: A Survey
Paper • 2412.13501 • Published • 25 -
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 86 -
YuLan-Mini: An Open Data-efficient Language Model
Paper • 2412.17743 • Published • 65 -
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Paper • 2412.18619 • Published • 55 -
Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment
Paper • 2412.19326 • Published • 18 -
LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models
Paper • 2501.00874 • Published • 13 -
Personalized Graph-Based Retrieval for Large Language Models
Paper • 2501.02157 • Published • 29 -
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 90 -
Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control
Paper • 2501.03847 • Published • 23 -
LLM4SR: A Survey on Large Language Models for Scientific Research
Paper • 2501.04306 • Published • 35 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 95 -
MinMo: A Multimodal Large Language Model for Seamless Voice Interaction
Paper • 2501.06282 • Published • 45 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 53 -
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
Paper • 2501.06590 • Published • 9 -
deepseek-ai/DeepSeek-V3
Text Generation • Updated • 2.73M • • 3.52k -
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
Paper • 2501.09755 • Published • 34 -
RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
Paper • 2501.08617 • Published • 10 -
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Paper • 2501.09686 • Published • 36 -
CityDreamer4D: Compositional Generative Model of Unbounded 4D Cities
Paper • 2501.08983 • Published • 20 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 106 -
HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution
Paper • 2501.10045 • Published • 9 -
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
Paper • 2501.12202 • Published • 33 -
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
Paper • 2501.13106 • Published • 83 -
Autonomy-of-Experts Models
Paper • 2501.13074 • Published • 41 -
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
Paper • 2501.17703 • Published • 55 -
Optimizing Large Language Model Training Using FP4 Quantization
Paper • 2501.17116 • Published • 35 -
WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
Paper • 2501.18511 • Published • 19 -
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
Paper • 2501.18427 • Published • 16 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 26 -
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
Paper • 2501.19324 • Published • 37 -
The Curse of Depth in Large Language Models
Paper • 2502.05795 • Published • 31 -
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 134 -
ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning
Paper • 2502.04689 • Published • 7 -
Generating Symbolic World Models via Test-time Scaling of Large Language Models
Paper • 2502.04728 • Published • 17 -
MetaChain: A Fully-Automated and Zero-Code Framework for LLM Agents
Paper • 2502.05957 • Published • 16 -
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 114 -
Scaling Pre-training to One Hundred Billion Data for Vision Language Models
Paper • 2502.07617 • Published • 27 -
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
Paper • 2502.07374 • Published • 33 -
Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon
Paper • 2502.07445 • Published • 11 -
Next Block Prediction: Video Generation via Semi-Autoregressive Modeling
Paper • 2502.07737 • Published • 9 -
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
Paper • 2502.05664 • Published • 22 -
LLM Pretraining with Continuous Concepts
Paper • 2502.08524 • Published • 26 -
Retrieval-augmented Large Language Models for Financial Time Series Forecasting
Paper • 2502.05878 • Published • 38 -
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
Paper • 2502.06589 • Published • 17 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 32 -
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
Paper • 2502.09604 • Published • 31 -
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
Paper • 2502.11098 • Published • 10 -
Large Language Diffusion Models
Paper • 2502.09992 • Published • 75 -
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
Paper • 2502.12146 • Published • 15 -
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
Paper • 2502.10458 • Published • 27 -
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
Paper • 2502.11775 • Published • 8 -
Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Paper • 2502.11831 • Published • 13 -
FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
Paper • 2502.11433 • Published • 31 -
Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarsity
Paper • 2502.11901 • Published • 6 -
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
Paper • 2502.13922 • Published • 25 -
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
Paper • 2502.12638 • Published • 7 -
SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation
Paper • 2502.13128 • Published • 34 -
Craw4LLM: Efficient Web Crawling for LLM Pretraining
Paper • 2502.13347 • Published • 24 -
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
Paper • 2502.13533 • Published • 6 -
Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering
Paper • 2502.13962 • Published • 27 -
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
Paper • 2502.13233 • Published • 11 -
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Paper • 2502.12853 • Published • 22 -
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 64 -
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Paper • 2502.14768 • Published • 31 -
RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers
Paper • 2502.14377 • Published • 10