| 1 |
TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards |
100.0
五个现有分项均为10分
|
待核验(缺 5 项) |
98 |
2026-09-09 |
| 2 |
Frequency comparison of two nuclear clocks |
97.0
|
待核验(缺 5 项) |
94 |
2026-10-07 |
| 3 |
PrivEscalate: Measuring and Augmenting the Threat of LLM-Automated Linux Privilege Escalation |
95.5
|
待核验(缺 5 项) |
91 |
2026-09-08 |
| 4 |
SequenceO1: End-to-End Ultra-Long (100K) Sequence Modeling in Recommendation with Low-Rank Caching |
95.5
|
待核验(缺 5 项) |
95 |
2026-09-08 |
| 5 |
Efficiently Reconstructing Dynamic Scenes One D4RT at a Time |
95.5
|
待核验(缺 5 项) |
94 |
2025-12-09 |
| 6 |
PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving |
94.0
|
待核验(缺 5 项) |
90 |
2026-09-08 |
| 7 |
Procedural Graphs: Self-Evolving Execution Structures for LLM Agents |
94.0
|
待核验(缺 5 项) |
92 |
2026-09-08 |
| 8 |
FolDeX: A Physical-World Benchmark for Long-Horizon Robotic Manipulation of Deformable Objects |
94.0
|
待核验(缺 5 项) |
94 |
2026-09-09 |
| 9 |
MedDeID enables locally governed clinical-text de-identification from real or synthetic training data |
94.0
|
待核验(缺 5 项) |
94 |
2026-09-09 |
| 10 |
UniRec: Cross-stage Multi-Task Fusion with Preference Alignment for Cascaded Recommender Systems |
94.0
|
待核验(缺 5 项) |
92 |
2026-09-10 |
| 11 |
ModaLens: Measuring Image Sensitivity in Report-Conditioned Medical VLMs |
94.0
|
待核验(缺 5 项) |
95 |
2026-09-14 |
| 12 |
LazFormer: Scaling Transformers for Industrial Recommendation via Transferable Generative Pre-training |
94.0
|
待核验(缺 5 项) |
96 |
2026-09-14 |
| 13 |
Copying explains the collective behavior of AI agents in the wild |
93.0
|
待核验(缺 5 项) |
90 |
2026-09-08 |
| 14 |
Proxy Policy Steering |
93.0
|
待核验(缺 5 项) |
95 |
2026-09-08 |
| 15 |
World in World: Explore the World with World Models |
93.0
|
待核验(缺 5 项) |
94 |
2026-09-10 |
| 16 |
3D Point Splatting for mmWave Radar Novel View Synthesis |
93.0
|
待核验(缺 5 项) |
92 |
2026-09-11 |
| 17 |
Experimental observation of critical topology |
93.0
|
待核验(缺 5 项) |
92 |
2026-10-07 |
| 18 |
Studying Image Tokenizers as Visual Languages in Unified Multimodal Models |
92.5
|
待核验(缺 5 项) |
91 |
2026-09-08 |
| 19 |
Mask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout |
92.5
|
待核验(缺 5 项) |
92 |
2026-09-09 |
| 20 |
Uncertainty DMD: Restoring Diversity in Few-Step Autoregressive Video Distillation |
92.5
|
待核验(缺 5 项) |
93 |
2026-09-10 |
| 21 |
Vidu S2: Real-Time, Interactive, Editable, and Spatial Video Generation |
92.5
|
待核验(缺 5 项) |
95 |
2026-09-10 |
| 22 |
SenseNova-U1.5: Towards Native Unified Visual Intelligence |
92.5
|
待核验(缺 5 项) |
94 |
2026-09-10 |
| 23 |
A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis |
92.5
|
待核验(缺 5 项) |
96 |
2026-09-14 |
| 24 |
HazardAuditor: From Executable Threats to Safer Computer-Use Agents |
92.5
|
待核验(缺 5 项) |
95 |
2026-09-14 |
| 25 |
A Vision-Language Foundation Model for Precise and Comprehensive Brain Tumor Diagnosis from Preoperative Multimodal Data |
92.5
|
待核验(缺 5 项) |
94 |
2026-09-15 |
| 26 |
DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination |
91.0
|
待核验(缺 5 项) |
93 |
2026-09-08 |
| 27 |
P-PatchDiff: Progressive Patch Diffusion Models for Low-light Image Enhancement |
90.0
|
待核验(缺 5 项) |
92 |
2026-09-01 |
| 28 |
SeGDeP: Semantic- and Geometric-Aware Decoupled Prompts for Reasoning Segmentation |
90.0
|
待核验(缺 5 项) |
89 |
2026-09-08 |
| 29 |
Medical AI Encodes a "Feeling of Error": Verifying Cancer Segmentation via Internal Concepts |
90.0
|
待核验(缺 5 项) |
88 |
2026-09-08 |
| 30 |
SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research? |
90.0
|
待核验(缺 5 项) |
89 |
2026-09-08 |
| 31 |
QO-Bench: Diagnosing Query-Operator-Preserving Retrieval over Typed Event Tuples |
90.0
|
待核验(缺 5 项) |
89 |
2026-06-03 |
| 32 |
TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model |
90.0
|
待核验(缺 5 项) |
94 |
2026-09-08 |
| 33 |
EdMCGS: Event-Driven Markov Chain Gaussian Splatting for Extreme-Low-Frame-Rate Dynamic Scene Reconstruction |
90.0
|
待核验(缺 5 项) |
94 |
2026-09-08 |
| 34 |
To Adapt or Not to Adapt? Selective Adaptation for Vision-Language Models |
90.0
|
待核验(缺 5 项) |
92 |
2026-09-08 |
| 35 |
Data-Centric Post-Training for Financial Reasoning: Mining, Distillation, and Verifiable Learning |
90.0
|
待核验(缺 5 项) |
94 |
2026-09-09 |
| 36 |
ConvMem: Convolutional Memory for Long-Context Reasoning |
90.0
|
待核验(缺 5 项) |
89 |
2026-09-09 |
| 37 |
AXS-Net: Interpretable Deep Unfolding for Hyperspectral Image Denoising via Spectral Basis Unmixing and Structured Noise Refinement |
90.0
|
待核验(缺 5 项) |
95 |
2026-09-08 |
| 38 |
Beyond One-Size-Fits-All: Sample-Adaptive Strategy Routing for Vision Token Pruning in MLLMs |
90.0
|
待核验(缺 5 项) |
94 |
2026-09-09 |
| 39 |
Beyond Surface Imitation: Contrastive Modeling for Reasoning Path Alignment in Multimodal In-Context Learning |
90.0
|
待核验(缺 5 项) |
93 |
2026-09-09 |
| 40 |
From Evaluation to Enhancement: Benchmarking and Improving Think-with-Video Reasoning for Video Generative Models |
90.0
|
待核验(缺 5 项) |
91 |
2026-09-10 |
| 41 |
Tri-DehazeGS: Scene--Medium Decoupled Gaussian Splatting with Transmittance-Aware Optimization |
90.0
|
待核验(缺 5 项) |
93 |
2026-09-10 |
| 42 |
Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data |
90.0
|
待核验(缺 5 项) |
92 |
2026-09-10 |
| 43 |
Separating Stream Stability from Long-Term Recall in Language Models |
90.0
|
待核验(缺 5 项) |
91 |
2026-09-07 |
| 44 |
Libra: Taming Attention Workload Skew in Long-Context LLM Training with Bounded Sequence Pool |
90.0
|
待核验(缺 5 项) |
94 |
2026-07-25 |
| 45 |
A2ABreak: Systematic Security Analysis of the A2A Protocol |
90.0
|
待核验(缺 5 项) |
93 |
2026-09-10 |
| 46 |
Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling |
90.0
|
待核验(缺 5 项) |
93 |
2026-09-11 |
| 47 |
MindTopo: Can Foundation Models Reason in Topological Space? |
90.0
|
待核验(缺 5 项) |
94 |
2026-09-10 |
| 48 |
GRAVA: Grounded Reasoning-to-Action Representation and Learning for Autonomous Driving |
90.0
|
待核验(缺 5 项) |
93 |
2026-09-14 |
| 49 |
WLA3: World Latent Action Modeling for Semantics, Dynamics, and Kinematics |
90.0
|
待核验(缺 5 项) |
94 |
2026-09-14 |
| 50 |
VC-Attention: Value Smoothing and Softmax Casting for Low-bit Attention |
90.0
|
待核验(缺 5 项) |
94 |
2026-09-14 |