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AI 논문 핫 랭킹
최근 7일간 전 세계 AI 연구자들이 주목한 논문을 쉬운 말로 풀어드립니다
1
OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding
🔥 566
2026-10-13
깊이 읽기
arXiv 원문
2
Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation
🔥 451
2026-10-15
깊이 읽기
arXiv 원문
3
Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation
🔥 333
2026-10-14
깊이 읽기
arXiv 원문
4
Player-1: Learning to Play from Synthetic Experience
🔥 285
2026-10-14
깊이 읽기
arXiv 원문
5
HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents
🔥 284
2026-10-16
깊이 읽기
arXiv 원문
6
OpenGCUA: Toward a Fully Open Stack for Generalist Computer Use
🔥 266
2026-10-15
깊이 읽기
arXiv 원문
7
Beyond Domain-Routed Supervision: Cross-Teacher Guarding for Multi-Teacher On-Policy Distillation
🔥 238
2026-10-09
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arXiv 원문
8
Has GPT-6-Astra Achieved Embodied Intelligence?
🔥 236
2026-10-15
깊이 읽기
arXiv 원문
9
Scaling Parameter-Efficient Fine-Tuning for Brain Encoding
🔥 233
2026-10-19
깊이 읽기
arXiv 원문
10
FDE-Gym: The Last Mile of AI Delivery
🔥 229
2026-10-15
깊이 읽기
arXiv 원문
11
Focused Omni-Modal GUI Agents
🔥 224
2026-10-19
깊이 읽기
arXiv 원문
12
RoTA-Bench: Evaluating 3D Spatial Reasoning through Interactive Projection Alignment
🔥 198
2026-10-14
깊이 읽기
arXiv 원문
13
Self-Evolving Agent Harness
🔥 188
2026-10-13
깊이 읽기
arXiv 원문
14
Matrix-Game 4.0: Harnessing Video Models for Real-Time Playable Game Worlds
🔥 178
2026-10-20
깊이 읽기
arXiv 원문
15
Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience
🔥 176
2026-10-19
깊이 읽기
arXiv 원문
16
BizBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business
🔥 169
2026-10-14
깊이 읽기
arXiv 원문
17
OR-License: Evaluating LLM Agents as Real-World Operations Research Practitioners
🔥 167
2026-10-16
깊이 읽기
arXiv 원문
18
PAR: Progress-Aligned Recurrence for Length Generalization in State Tracking
🔥 147
2026-10-20
깊이 읽기
arXiv 원문
19
Learning to Think and Explore in 3D World
🔥 144
2026-10-15
깊이 읽기
arXiv 원문
20
MJev-Spatial: System One Spatial Intelligence via Native Attention Matching
🔥 141
2026-10-15
깊이 읽기
arXiv 원문