Collections
Discover the best community collections!
Collections including paper arxiv:2603.13875
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dLLM: Simple Diffusion Language Modeling
Paper • 2602.22661 • Published • 152 -
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data
Paper • 2603.15594 • Published • 149 -
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence
Paper • 2603.13398 • Published • 153 -
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders
Paper • 2603.06569 • Published • 119
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StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Paper • 2410.08815 • Published • 47 -
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Paper • 2304.14856 • Published • 1 -
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Paper • 2405.13792 • Published • 1 -
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
Paper • 2404.04522 • Published
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Is Multilingual LLM Watermarking Truly Multilingual? A Simple Back-Translation Solution
Paper • 2510.18019 • Published • 18 -
PORTool: Tool-Use LLM Training with Rewarded Tree
Paper • 2510.26020 • Published • 5 -
POWSM: A Phonetic Open Whisper-Style Speech Foundation Model
Paper • 2510.24992 • Published • 4 -
Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation
Paper • 2510.24821 • Published • 41
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XGen-7B Technical Report
Paper • 2309.03450 • Published • 8 -
FLM-101B: An Open LLM and How to Train It with $100K Budget
Paper • 2309.03852 • Published • 45 -
Robotic Table Tennis: A Case Study into a High Speed Learning System
Paper • 2309.03315 • Published • 7 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82
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FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use
Paper • 2603.08262 • Published • 42 -
On-Policy Context Distillation for Language Models
Paper • 2602.12275 • Published • 3 -
Online Experiential Learning for Language Models
Paper • 2603.16856 • Published • 58 -
Mixture-of-Depths Attention
Paper • 2603.15619 • Published • 80
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Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Paper • 2509.15591 • Published • 45 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 94 -
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost
Paper • 2602.03120 • Published • 1 -
TADA! Tuning Audio Diffusion Models through Activation Steering
Paper • 2602.11910 • Published • 2
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BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 107 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 80 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 45
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FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use
Paper • 2603.08262 • Published • 42 -
On-Policy Context Distillation for Language Models
Paper • 2602.12275 • Published • 3 -
Online Experiential Learning for Language Models
Paper • 2603.16856 • Published • 58 -
Mixture-of-Depths Attention
Paper • 2603.15619 • Published • 80
-
dLLM: Simple Diffusion Language Modeling
Paper • 2602.22661 • Published • 152 -
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data
Paper • 2603.15594 • Published • 149 -
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence
Paper • 2603.13398 • Published • 153 -
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders
Paper • 2603.06569 • Published • 119
-
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Paper • 2410.08815 • Published • 47 -
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Paper • 2304.14856 • Published • 1 -
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Paper • 2405.13792 • Published • 1 -
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
Paper • 2404.04522 • Published
-
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Paper • 2509.15591 • Published • 45 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 94 -
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost
Paper • 2602.03120 • Published • 1 -
TADA! Tuning Audio Diffusion Models through Activation Steering
Paper • 2602.11910 • Published • 2
-
Is Multilingual LLM Watermarking Truly Multilingual? A Simple Back-Translation Solution
Paper • 2510.18019 • Published • 18 -
PORTool: Tool-Use LLM Training with Rewarded Tree
Paper • 2510.26020 • Published • 5 -
POWSM: A Phonetic Open Whisper-Style Speech Foundation Model
Paper • 2510.24992 • Published • 4 -
Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation
Paper • 2510.24821 • Published • 41
-
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 107 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 80 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 45
-
XGen-7B Technical Report
Paper • 2309.03450 • Published • 8 -
FLM-101B: An Open LLM and How to Train It with $100K Budget
Paper • 2309.03852 • Published • 45 -
Robotic Table Tennis: A Case Study into a High Speed Learning System
Paper • 2309.03315 • Published • 7 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82