Collections
Discover the best community collections!
Collections including paper arxiv:2508.15260
-
SSRL: Self-Search Reinforcement Learning
Paper • 2508.10874 • Published • 95 -
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
Paper • 2508.11987 • Published • 70 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 88 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 97
-
Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
Paper • 2508.07629 • Published • 41 -
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning
Paper • 2508.07101 • Published • 13 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 7 -
Train Long, Think Short: Curriculum Learning for Efficient Reasoning
Paper • 2508.08940 • Published • 27
-
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
Paper • 2506.06395 • Published • 132 -
Magistral
Paper • 2506.10910 • Published • 65 -
Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
Paper • 2506.07240 • Published • 7 -
Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation
Paper • 2506.09991 • Published • 55
-
Instruction Following without Instruction Tuning
Paper • 2409.14254 • Published • 30 -
Baichuan Alignment Technical Report
Paper • 2410.14940 • Published • 51 -
CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution
Paper • 2410.16256 • Published • 60 -
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data
Paper • 2410.18558 • Published • 19
-
Deep Think with Confidence
Paper • 2508.15260 • Published • 88 -
Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation
Paper • 2508.12040 • Published • 14 -
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States
Paper • 2406.12053 • Published -
Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
Paper • 2508.18076 • Published • 6
-
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
-
Snowflake/Arctic-Text2SQL-R1-7B
8B • Updated • 14.8k • 54 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 274 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 126
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 236 • 98 -
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 • 85 -
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
-
Deep Think with Confidence
Paper • 2508.15260 • Published • 88 -
Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation
Paper • 2508.12040 • Published • 14 -
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States
Paper • 2406.12053 • Published -
Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
Paper • 2508.18076 • Published • 6
-
SSRL: Self-Search Reinforcement Learning
Paper • 2508.10874 • Published • 95 -
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
Paper • 2508.11987 • Published • 70 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 88 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 97
-
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
-
Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
Paper • 2508.07629 • Published • 41 -
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning
Paper • 2508.07101 • Published • 13 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 7 -
Train Long, Think Short: Curriculum Learning for Efficient Reasoning
Paper • 2508.08940 • Published • 27
-
Snowflake/Arctic-Text2SQL-R1-7B
8B • Updated • 14.8k • 54 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 274 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 126
-
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
Paper • 2506.06395 • Published • 132 -
Magistral
Paper • 2506.10910 • Published • 65 -
Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
Paper • 2506.07240 • Published • 7 -
Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation
Paper • 2506.09991 • Published • 55
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 236 • 98 -
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
-
Instruction Following without Instruction Tuning
Paper • 2409.14254 • Published • 30 -
Baichuan Alignment Technical Report
Paper • 2410.14940 • Published • 51 -
CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution
Paper • 2410.16256 • Published • 60 -
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data
Paper • 2410.18558 • Published • 19
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
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