Puzzle: Distillation-Based NAS for Inference-Optimized LLMs Paper • 2411.19146 • Published Nov 28, 2024 • 14
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching Paper • 2412.17153 • Published 20 days ago • 34
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Paper • 2412.21187 • Published 12 days ago • 34
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM Paper • 2501.01904 • Published 8 days ago • 27
Are Vision-Language Models Truly Understanding Multi-vision Sensor? Paper • 2412.20750 • Published 13 days ago • 19
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions Paper • 2412.09596 • Published 30 days ago • 92
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale Paper • 2412.05237 • Published Dec 6, 2024 • 47
EXAONE 3.5: Series of Large Language Models for Real-world Use Cases Paper • 2412.04862 • Published Dec 6, 2024 • 50
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling Paper • 2412.05271 • Published Dec 6, 2024 • 124
VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models Paper • 2412.01822 • Published Dec 2, 2024 • 14
LLaVA-o1: Let Vision Language Models Reason Step-by-Step Paper • 2411.10440 • Published Nov 15, 2024 • 113
Intriguing Properties of Large Language and Vision Models Paper • 2410.04751 • Published Oct 7, 2024 • 16
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models Paper • 2409.17066 • Published Sep 25, 2024 • 28