Zero-shot World Models Are Developmentally Efficient Learners
Paper • 2604.10333 • Published • 6
Kye Gomez
kye
AI & ML interests
Neuroscience, Behavior Science, Anti-Matter, Anti-Gravity propulsion,
Recent Activity
upvoted a paper about 10 hours ago
Zero-shot World Models Are Developmentally Efficient Learners upvoted a paper about 10 hours ago
From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models upvoted a paper about 10 hours ago
Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and MusicOrganizations
upvoted 5
papers about 10 hours ago
From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models
Paper • 2604.09459 • Published • 9
Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music
Paper • 2604.10905 • Published • 14
Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs
Paper • 2604.10480 • Published • 14
QuanBench+: A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation
Paper • 2604.08570 • Published • 109
upvoted 2
papers 1 day ago
upvoted a paper 2 days ago
upvoted 7
papers 3 days ago
Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference
Paper • 2604.07394 • Published • 16
OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering
Paper • 2604.08209 • Published • 25
Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models
Paper • 2604.08545 • Published • 40
Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering
Paper • 2604.08224 • Published • 46
DMax: Aggressive Parallel Decoding for dLLMs
Paper • 2604.08302 • Published • 49
ClawBench: Can AI Agents Complete Everyday Online Tasks?
Paper • 2604.08523 • Published • 253
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
Paper • 2604.08377 • Published • 273
upvoted 5
papers 7 days ago
Experience Transfer for Multimodal LLM Agents in Minecraft Game
Paper • 2604.05533 • Published • 14
MedGemma 1.5 Technical Report
Paper • 2604.05081 • Published • 14
MMEmb-R1: Reasoning-Enhanced Multimodal Embedding with Pair-Aware Selection and Adaptive Control
Paper • 2604.06156 • Published • 10
In-Place Test-Time Training
Paper • 2604.06169 • Published • 27
Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework
Paper • 2604.06170 • Published • 29