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Collections including paper arxiv:2509.17567
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LIMI: Less is More for Agency
Paper • 2509.17567 • Published • 104 -
Qwen3-Omni Technical Report
Paper • 2509.17765 • Published • 153 -
GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning
Paper • 2509.17437 • Published • 17 -
EpiCache: Episodic KV Cache Management for Long Conversational Question Answering
Paper • 2509.17396 • Published • 19
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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 • 20 -
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
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The Leaderboard Illusion
Paper • 2504.20879 • Published • 72 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 207 -
Seedance 1.0: Exploring the Boundaries of Video Generation Models
Paper • 2506.09113 • Published • 108 -
Small Language Models are the Future of Agentic AI
Paper • 2506.02153 • Published • 24
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Agent Learning via Early Experience
Paper • 2510.08558 • Published • 277 -
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Paper • 2510.08002 • Published • 24 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10 -
The Denario project: Deep knowledge AI agents for scientific discovery
Paper • 2510.26887 • Published • 8
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Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 72 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 23 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 24 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 5
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We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Paper • 2508.10433 • Published • 146 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 199 -
LIMI: Less is More for Agency
Paper • 2509.17567 • Published • 104 -
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies
Paper • 2602.09877 • Published • 197
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Agentic Knowledgeable Self-awareness
Paper • 2504.03553 • Published • 27 -
Benchmarking LLMs' Swarm intelligence
Paper • 2505.04364 • Published • 20 -
Multi-Agent System for Comprehensive Soccer Understanding
Paper • 2505.03735 • Published • 25 -
LIMI: Less is More for Agency
Paper • 2509.17567 • Published • 104
-
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 277 -
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Paper • 2510.08002 • Published • 24 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10 -
The Denario project: Deep knowledge AI agents for scientific discovery
Paper • 2510.26887 • Published • 8
-
LIMI: Less is More for Agency
Paper • 2509.17567 • Published • 104 -
Qwen3-Omni Technical Report
Paper • 2509.17765 • Published • 153 -
GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning
Paper • 2509.17437 • Published • 17 -
EpiCache: Episodic KV Cache Management for Long Conversational Question Answering
Paper • 2509.17396 • Published • 19
-
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 72 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 23 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 24 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 5
-
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 • 20 -
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
-
We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Paper • 2508.10433 • Published • 146 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 199 -
LIMI: Less is More for Agency
Paper • 2509.17567 • Published • 104 -
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies
Paper • 2602.09877 • Published • 197
-
The Leaderboard Illusion
Paper • 2504.20879 • Published • 72 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 207 -
Seedance 1.0: Exploring the Boundaries of Video Generation Models
Paper • 2506.09113 • Published • 108 -
Small Language Models are the Future of Agentic AI
Paper • 2506.02153 • Published • 24
-
Agentic Knowledgeable Self-awareness
Paper • 2504.03553 • Published • 27 -
Benchmarking LLMs' Swarm intelligence
Paper • 2505.04364 • Published • 20 -
Multi-Agent System for Comprehensive Soccer Understanding
Paper • 2505.03735 • Published • 25 -
LIMI: Less is More for Agency
Paper • 2509.17567 • Published • 104