QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 46
LLM
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PaLI-3 Vision Language Models: Smaller, Faster, Stronger
Paper • 2310.09199 • Published • 28 -
Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams
Paper • 2310.08678 • Published • 13 -
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Paper • 2310.09478 • Published • 21 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 106 -
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 35 -
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Paper • 2309.14509 • Published • 21 -
Skywork: A More Open Bilingual Foundation Model
Paper • 2310.19341 • Published • 6 -
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
Paper • 2311.09257 • Published • 47 -
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Paper • 2307.16789 • Published • 102 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 61 -
MobileQuant: Mobile-friendly Quantization for On-device Language Models
Paper • 2408.13933 • Published • 16 -
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding
Paper • 2409.03420 • Published • 26 -
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
Paper • 2409.12903 • Published • 22 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 140 -
Language Models Learn to Mislead Humans via RLHF
Paper • 2409.12822 • Published • 11 -
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code
Paper • 2410.08196 • Published • 48 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 55 -
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
Paper • 2505.20256 • Published • 19 -
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Paper • 2505.23656 • Published • 25 -
SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models
Paper • 2506.04180 • Published • 34 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 166 -
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
Paper • 2507.06181 • Published • 45 -
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Paper • 2508.02193 • Published • 138 -
Memp: Exploring Agent Procedural Memory
Paper • 2508.06433 • Published • 36 -
Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning
Paper • 2508.08221 • Published • 50 -
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
Paper • 2508.10751 • Published • 29 -
AWorld: Dynamic Multi-Agent System with Stable Maneuvering for Robust GAIA Problem Solving
Paper • 2508.09889 • Published • 32 -
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 210 -
Efficient Code Embeddings from Code Generation Models
Paper • 2508.21290 • Published • 20 -
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
Paper • 2509.22944 • Published • 81 -
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
Paper • 2510.19363 • Published • 63 -
M3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark
Paper • 2511.17729 • Published • 17 -
Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
Paper • 2512.20605 • Published • 62 -
Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
Paper • 2512.19995 • Published • 16