- 
	
	
	
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 68 - 
	
	
	
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 21 - 
	
	
	
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 23 - 
	
	
	
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 4 
Collections
Discover the best community collections!
Collections including paper arxiv:2509.19803 
						
					
				- 
	
	
	
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 - 
	
	
	
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 - 
	
	
	
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 - 
	
	
	
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48 
- 
	
	
	
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 - 
	
	
	
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 - 
	
	
	
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 - 
	
	
	
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25 
- 
	
	
	
				lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 260 • 97 - 
	
	
	
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 36 - 
	
	
	
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 - 
	
	
	
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88 
- 
	
	
	
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 68 - 
	
	
	
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 21 - 
	
	
	
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 23 - 
	
	
	
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 4 
- 
	
	
	
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 - 
	
	
	
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 - 
	
	
	
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 - 
	
	
	
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48 
- 
	
	
	
				lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 260 • 97 - 
	
	
	
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 36 - 
	
	
	
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 - 
	
	
	
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88 
- 
	
	
	
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 - 
	
	
	
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 - 
	
	
	
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 - 
	
	
	
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25