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upvoted a paper about 20 hours ago

The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents

Paper • 2610.36077 • Published 8 days ago • 68

upvoted a paper 8 days ago

Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs

Paper • 2610.27103 • Published 15 days ago • 33

upvoted a paper 14 days ago

ScaleNav: Scalable Internet Video Pretraining for Language-Conditioned Local Navigation

Paper • 2610.25690 • Published 15 days ago • 42

liked a dataset 14 days ago

hongzhuyi/VDEBench

Benchmark • Updated 2 days ago • 7.01k • 7k • 61

upvoted a paper 22 days ago

EmbodiedCLBench: Evaluating Continual Learning for Self-Evolving Embodied Agents

Paper • 2610.13021 • Published 25 days ago • 34

upvoted a paper 29 days ago

On-Policy Parameter Update Direction Underlies Generalization in LLM Post-Training

Paper • 2609.36659 • Published Sep 29 • 16

upvoted 8 papers about 1 month ago

Video Generation Models: A Survey of Post-Training and Alignment

Paper • 2610.00812 • Published Sep 30 • 23

A Missing Piece for Trustworthy AI Reviewers: From Benchmarking Rhetorical Robustness to SciCore Review

Paper • 2609.39027 • Published Sep 30 • 21

Agent Priors-guided Policy Learning

Paper • 2609.35690 • Published Sep 28 • 55

RSIGame: Autonomous Agentic Game Development with Recursive Self-improvement

Paper • 2609.39045 • Published Sep 30 • 48

Omni-IO Skills: Harnessing Your Agent Omni-Native

Paper • 2609.31847 • Published Sep 25 • 56

Raven: The Harness of Harnesses for Composable Agentic Intelligence

Paper • 2609.33439 • Published Sep 27 • 187

CoWindow Attention: Full Causal Coverage Is a Collective Property

Paper • 2609.32704 • Published Sep 26 • 23

MassAlloc Attention: Let Attention Allocate Its Own Compute

Paper • 2609.32712 • Published Sep 26 • 30

upvoted 2 papers about 2 months ago

Iris: Climbing to the Search Frontier

Paper • 2609.04304 • Published Sep 3 • 51

Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning

Paper • 2609.03430 • Published Sep 3 • 99

upvoted 3 papers 2 months ago

It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning

Paper • 2609.00638 • Published Sep 1 • 42

SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers

Paper • 2609.01343 • Published Sep 1 • 65

UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City

Paper • 2608.27456 • Published Aug 27 • 55

liked a Space 2 months ago

Running

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563

Agent Memory Leaderboard

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563

Unified memory evaluation · Results expected August 12.