Collection by
10 days ago
Collections
Discover the best community collections!
Collections including paper arxiv:2512.15687
Collection by
about 7 hours ago
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Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 75 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 106 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 501 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 30
Collection by
5 days ago
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 201 • 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
Collection by
9 days ago
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Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 55 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 37 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 25
Collection by
19 days ago
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Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 221 -
Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
Paper • 2511.23319 • Published • 22 -
Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information
Paper • 2511.22176 • Published • 4 -
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
Paper • 2511.22265 • Published • 1
Collection by
19 days ago
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StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 52 -
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Paper • 2509.05080 • Published -
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
Paper • 2508.17565 • Published -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published
Collection by
17 days ago
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Describe Anything: Detailed Localized Image and Video Captioning
Paper • 2504.16072 • Published • 63 -
EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment
Paper • 2410.09604 • Published -
Geospatial Mechanistic Interpretability of Large Language Models
Paper • 2505.03368 • Published • 11 -
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
Paper • 2505.02836 • Published • 8
Collection by
10 days ago
Collection by
19 days ago
-
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 221 -
Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
Paper • 2511.23319 • Published • 22 -
Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information
Paper • 2511.22176 • Published • 4 -
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
Paper • 2511.22265 • Published • 1
Collection by
about 7 hours ago
-
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 75 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 106 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 501 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 30
Collection by
19 days ago
-
StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 52 -
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Paper • 2509.05080 • Published -
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
Paper • 2508.17565 • Published -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published
Collection by
5 days ago
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 201 • 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
Collection by
17 days ago
-
Describe Anything: Detailed Localized Image and Video Captioning
Paper • 2504.16072 • Published • 63 -
EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment
Paper • 2410.09604 • Published -
Geospatial Mechanistic Interpretability of Large Language Models
Paper • 2505.03368 • Published • 11 -
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
Paper • 2505.02836 • Published • 8
Collection by
9 days ago
-
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 55 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 37 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 25