rank
int64 | name
string | times_trended
int64 | best_rank
int64 | avg_rank
float64 | median_rank
int64 | publish_date
string | max_upvotes
int64 | max_github_stars
int64 | arxiv_link
string |
|---|---|---|---|---|---|---|---|---|---|
401
|
UniREditBench: A Unified Reasoning-based Image Editing Benchmark
| 8
| 28
| 35.88
| 32
|
Nov 3, 2025
| 35
| 37
|
https://arxiv.org/abs/2511.01295
|
402
|
Artificial Hippocampus Networks for Efficient Long-Context Modeling
| 6
| 24
| 31
| 28
|
Oct 8, 2025
| 22
| 67
|
https://arxiv.org/abs/2510.07318
|
403
|
Agentic Entropy-Balanced Policy Optimization
| 8
| 30
| 36.12
| 33
|
Oct 16, 2025
| 90
| 694
|
https://arxiv.org/abs/2510.14545
|
404
|
Pass@k Training for Adaptively Balancing Exploration and Exploitation of
Large Reasoning Models
| 21
| 40
| 45.43
| 45
|
Aug 14, 2025
| 21
| 47
|
https://arxiv.org/abs/2508.10751
|
405
|
URSA: Understanding and Verifying Chain-of-thought Reasoning in
Multimodal Mathematics
| 6
| 26
| 31.83
| 32
|
Jan 8, 2025
| 53
| 117
|
https://arxiv.org/abs/2501.04686
|
406
|
MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP
Use
| 8
| 32
| 36.62
| 35
|
Sep 28, 2025
| 145
| 201
|
https://arxiv.org/abs/2509.24002
|
407
|
AMFT: Aligning LLM Reasoners by Meta-Learning the Optimal
Imitation-Exploration Balance
| 16
| 31
| 43.88
| 45
|
Aug 9, 2025
| 2
| 163
|
https://arxiv.org/abs/2508.06944
|
408
|
Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos
with Spatio-Temporal Diffusion Models
| 4
| 14
| 22.75
| 25
|
Jul 17, 2025
| 50
| 246
|
https://arxiv.org/abs/2507.13344
|
409
|
Cache-to-Cache: Direct Semantic Communication Between Large Language
Models
| 10
| 35
| 39.8
| 40
|
Oct 3, 2025
| 95
| 239
|
https://arxiv.org/abs/2510.03215
|
410
|
SageAttention3: Microscaling FP4 Attention for Inference and An
Exploration of 8-Bit Training
| 12
| 26
| 41.75
| 43
|
May 16, 2025
| 76
| 2,450
|
https://arxiv.org/abs/2505.11594
|
411
|
NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks
| 5
| 22
| 28.8
| 25
|
Oct 16, 2025
| 52
| 47
|
https://arxiv.org/abs/2510.15019
|
412
|
MeshSplat: Generalizable Sparse-View Surface Reconstruction via Gaussian
Splatting
| 6
| 22
| 32.67
| 28
|
Aug 25, 2025
| 4
| 18
|
https://arxiv.org/abs/2508.17811
|
413
|
Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from
Vector Drawings
| 8
| 22
| 37.38
| 41
|
Aug 26, 2025
| 2
| 50
|
https://arxiv.org/abs/2508.18733
|
414
|
OceanGym: A Benchmark Environment for Underwater Embodied Agents
| 5
| 22
| 29.2
| 28
|
Sep 30, 2025
| 30
| 28
|
https://arxiv.org/abs/2509.26536
|
415
|
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
| 13
| 27
| 42.77
| 47
|
Mar 18, 2025
| 4
| 4,800
|
https://arxiv.org/abs/2503.14734
|
416
|
TexVerse: A Universe of 3D Objects with High-Resolution Textures
| 12
| 37
| 42.08
| 40
|
Aug 14, 2025
| 13
| 180
|
https://arxiv.org/abs/2508.10868
|
417
|
GSM8K-V: Can Vision Language Models Solve Grade School Math Word
Problems in Visual Contexts
| 6
| 24
| 33.17
| 31
|
Sep 29, 2025
| 25
| 21
|
https://arxiv.org/abs/2509.25160
|
418
|
TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP
Environments
| 9
| 30
| 39.11
| 41
|
Oct 1, 2025
| 16
| 60
|
https://arxiv.org/abs/2510.01179
|
419
|
CoDiEmb: A Collaborative yet Distinct Framework for Unified
Representation Learning in Information Retrieval and Semantic Textual
Similarity
| 10
| 36
| 40.3
| 39
|
Aug 15, 2025
| 3
| 125
|
https://arxiv.org/abs/2508.11442
|
420
|
3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding
| 10
| 27
| 40.4
| 42
|
Jul 31, 2025
| 15
| 307
|
https://arxiv.org/abs/2507.23478
|
421
|
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified
Rewards in World Simulators
| 5
| 20
| 30
| 25
|
Oct 1, 2025
| 55
| 28
|
https://arxiv.org/abs/2510.00406
|
422
|
SeC: Advancing Complex Video Object Segmentation via Progressive Concept
Construction
| 3
| 12
| 16.67
| 19
|
Jul 21, 2025
| 34
| 98
|
https://arxiv.org/abs/2507.15852
|
423
|
Aligning Multimodal LLM with Human Preference: A Survey
| 20
| 31
| 45.95
| 48
|
Mar 18, 2025
| 26
| 16,300
|
https://arxiv.org/abs/2503.14504
|
424
|
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought
| 8
| 23
| 38.5
| 42
|
Apr 8, 2025
| 86
| 3,080
|
https://arxiv.org/abs/2504.05599
|
425
|
HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating
Local and Web Searches
| 8
| 33
| 38.5
| 37
|
Aug 11, 2025
| 26
| 30
|
https://arxiv.org/abs/2508.08088
|
426
|
SIM-CoT: Supervised Implicit Chain-of-Thought
| 8
| 33
| 38.5
| 34
|
Sep 24, 2025
| 33
| 46
|
https://arxiv.org/abs/2509.20317
|
427
|
RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via
Multi-Stage Reinforcement Learning
| 5
| 18
| 31.2
| 29
|
Oct 2, 2025
| 15
| 22
|
https://arxiv.org/abs/2510.02240
|
428
|
Generating Physically Stable and Buildable LEGO Designs from Text
| 7
| 27
| 37
| 41
|
May 8, 2025
| 28
| 1,430
|
https://arxiv.org/abs/2505.05469
|
429
|
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via
Semantic-Aware Permutation
| 8
| 35
| 39.12
| 38
|
May 24, 2025
| 42
| 472
|
https://arxiv.org/abs/2505.18875
|
430
|
Sparse VideoGen: Accelerating Video Diffusion Transformers with
Spatial-Temporal Sparsity
| 8
| 34
| 39.12
| 38
|
Feb 3, 2025
| 3
| 472
|
https://arxiv.org/abs/2502.01776
|
431
|
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified
Self-Play
| 9
| 29
| 40.44
| 44
|
Sep 29, 2025
| 120
| 40
|
https://arxiv.org/abs/2509.25541
|
432
|
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni
MLLMs
| 6
| 23
| 35.17
| 33
|
Oct 12, 2025
| 40
| 25
|
https://arxiv.org/abs/2510.10689
|
433
|
E^2Rank: Your Text Embedding can Also be an Effective
and Efficient Listwise Reranker
| 5
| 29
| 32
| 33
|
Oct 26, 2025
| 29
| 22
|
https://arxiv.org/abs/2510.22733
|
434
|
LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action
Models
| 9
| 30
| 40.56
| 41
|
Oct 15, 2025
| 40
| 46
|
https://arxiv.org/abs/2510.13626
|
435
|
Drax: Speech Recognition with Discrete Flow Matching
| 4
| 21
| 27.75
| 21
|
Oct 5, 2025
| 23
| 18
|
https://arxiv.org/abs/2510.04162
|
436
|
OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid
Validation in Realistic Workflows
| 9
| 29
| 40.67
| 45
|
Oct 28, 2025
| 69
| 31
|
https://arxiv.org/abs/2510.24411
|
437
|
Symbolic Graphics Programming with Large Language Models
| 10
| 33
| 42
| 44
|
Sep 5, 2025
| 37
| 18
|
https://arxiv.org/abs/2509.05208
|
438
|
SparseD: Sparse Attention for Diffusion Language Models
| 6
| 30
| 36
| 34
|
Sep 28, 2025
| 26
| 33
|
https://arxiv.org/abs/2509.24014
|
439
|
Language Model Council: Benchmarking Foundation Models on Highly
Subjective Tasks by Consensus
| 14
| 35
| 44.57
| 46
|
Jun 12, 2024
| 6
| 180
|
https://arxiv.org/abs/2406.08598
|
440
|
MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with
Holistic Platform and Adaptive Hybrid Policy Optimization
| 7
| 33
| 38.43
| 37
|
Oct 9, 2025
| 98
| 55
|
https://arxiv.org/abs/2510.08540
|
441
|
PICABench: How Far Are We from Physically Realistic Image Editing?
| 3
| 12
| 21.67
| 15
|
Oct 20, 2025
| 57
| 13
|
https://arxiv.org/abs/2510.17681
|
442
|
The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic,
and Long-Horizon Task Execution
| 10
| 38
| 42.4
| 42
|
Oct 29, 2025
| 42
| 99
|
https://arxiv.org/abs/2510.25726
|
443
|
Next Visual Granularity Generation
| 7
| 33
| 38.86
| 35
|
Aug 18, 2025
| 37
| 7
|
https://arxiv.org/abs/2508.12811
|
444
|
Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation
| 8
| 35
| 40.5
| 39
|
Aug 28, 2025
| 62
| 18
|
https://arxiv.org/abs/2508.20470
|
445
|
OmniGen2: Exploration to Advanced Multimodal Generation
| 10
| 32
| 42.7
| 42
|
Jun 23, 2025
| 75
| 3,860
|
https://arxiv.org/abs/2506.18871
|
446
|
JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical
Spatio-Temporal Prior Synchronization
| 16
| 35
| 45.88
| 47
|
Mar 30, 2025
| 57
| 265
|
https://arxiv.org/abs/2503.23377
|
447
|
UP2You: Fast Reconstruction of Yourself from Unconstrained Photo
Collections
| 7
| 22
| 39.29
| 45
|
Sep 29, 2025
| 8
| 161
|
https://arxiv.org/abs/2509.24817
|
448
|
LLaSO: A Foundational Framework for Reproducible Research in Large
Language and Speech Model
| 7
| 28
| 39.43
| 36
|
Aug 21, 2025
| 4
| 79
|
https://arxiv.org/abs/2508.15418
|
449
|
MUG-V 10B: High-efficiency Training Pipeline for Large Video Generation
Models
| 3
| 18
| 24
| 24
|
Oct 20, 2025
| 9
| 59
|
https://arxiv.org/abs/2510.17519
|
450
|
PartCrafter: Structured 3D Mesh Generation via Compositional Latent
Diffusion Transformers
| 7
| 23
| 39.71
| 40
|
Jun 5, 2025
| 79
| 2,180
|
https://arxiv.org/abs/2506.05573
|
451
|
Discrete Diffusion in Large Language and Multimodal Models: A Survey
| 13
| 36
| 44.92
| 46
|
Jun 16, 2025
| 43
| 267
|
https://arxiv.org/abs/2506.13759
|
452
|
PosterGen: Aesthetic-Aware Paper-to-Poster Generation via Multi-Agent
LLMs
| 11
| 35
| 43.91
| 43
|
Aug 24, 2025
| 15
| 105
|
https://arxiv.org/abs/2508.17188
|
453
|
Implicit Actor Critic Coupling via a Supervised Learning Framework for
RLVR
| 4
| 28
| 31.75
| 32
|
Sep 2, 2025
| 19
| 18
|
https://arxiv.org/abs/2509.02522
|
454
|
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
| 6
| 27
| 38.17
| 39
|
Oct 15, 2025
| 11
| 26
|
https://arxiv.org/abs/2510.13515
|
455
|
Part-X-MLLM: Part-aware 3D Multimodal Large Language Model
| 3
| 25
| 25.33
| 25
|
Nov 17, 2025
| 65
| 49
|
https://arxiv.org/abs/2511.13647
|
456
|
Scaling RL to Long Videos
| 3
| 21
| 25.67
| 28
|
Jul 10, 2025
| 141
| 538
|
https://arxiv.org/abs/2507.07966
|
457
|
X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment
Vision-Language-Action Model
| 7
| 32
| 40.14
| 42
|
Oct 11, 2025
| 12
| 56
|
https://arxiv.org/abs/2510.10274
|
458
|
Promptomatix: An Automatic Prompt Optimization Framework for Large
Language Models
| 3
| 19
| 26.33
| 30
|
Jul 17, 2025
| 13
| 61
|
https://arxiv.org/abs/2507.14241
|
459
|
Optimized Minimal 4D Gaussian Splatting
| 5
| 30
| 36.4
| 35
|
Oct 4, 2025
| 3
| 29
|
https://arxiv.org/abs/2510.03857
|
460
|
Defeating the Training-Inference Mismatch via FP16
| 9
| 33
| 42.89
| 47
|
Oct 30, 2025
| 23
| 112
|
https://arxiv.org/abs/2510.26788
|
461
|
Teaching Pretrained Language Models to Think Deeper with Retrofitted
Recurrence
| 7
| 36
| 40.57
| 36
|
Nov 10, 2025
| 11
| 23
|
https://arxiv.org/abs/2511.07384
|
462
|
RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation
| 7
| 32
| 40.71
| 41
|
Sep 18, 2025
| 20
| 208
|
https://arxiv.org/abs/2509.15212
|
463
|
MediaPipe: A Framework for Building Perception Pipelines
| 11
| 39
| 44.45
| 45
|
Jun 14, 2019
| 1
| 32,100
|
https://arxiv.org/abs/1906.08172
|
464
|
PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
| 2
| 15
| 15
| 15
|
Jan 7, 2025
| 22
| 2,430
|
https://arxiv.org/abs/2501.03936
|
465
|
WideSearch: Benchmarking Agentic Broad Info-Seeking
| 7
| 37
| 40.86
| 41
|
Aug 11, 2025
| 96
| 62
|
https://arxiv.org/abs/2508.07999
|
466
|
Efficient Multi-modal Large Language Models via Progressive Consistency
Distillation
| 4
| 23
| 33.25
| 33
|
Oct 1, 2025
| 37
| 13
|
https://arxiv.org/abs/2510.00515
|
467
|
UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity
| 3
| 27
| 28
| 28
|
Nov 17, 2025
| 4
| 34
|
https://arxiv.org/abs/2511.13714
|
468
|
SonicMaster: Towards Controllable All-in-One Music Restoration and
Mastering
| 7
| 32
| 41.29
| 39
|
Aug 5, 2025
| 1
| 74
|
https://arxiv.org/abs/2508.03448
|
469
|
DINO-Foresight: Looking into the Future with DINO
| 7
| 39
| 41.29
| 41
|
Dec 16, 2024
| 1
| 107
|
https://arxiv.org/abs/2412.11673
|
470
|
Euclid's Gift: Enhancing Spatial Perception and Reasoning in
Vision-Language Models via Geometric Surrogate Tasks
| 4
| 29
| 34.25
| 31
|
Sep 29, 2025
| 15
| 13
|
https://arxiv.org/abs/2509.24473
|
471
|
CoDA: Coding LM via Diffusion Adaptation
| 5
| 34
| 37.6
| 37
|
Sep 27, 2025
| 25
| 21
|
https://arxiv.org/abs/2510.03270
|
472
|
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning
Attention
| 8
| 34
| 42.75
| 44
|
Jun 16, 2025
| 265
| 2,890
|
https://arxiv.org/abs/2506.13585
|
473
|
Hyperspherical Latents Improve Continuous-Token Autoregressive
Generation
| 6
| 30
| 40
| 42
|
Sep 29, 2025
| 6
| 43
|
https://arxiv.org/abs/2509.24335
|
474
|
VLA-0: Building State-of-the-Art VLAs with Zero Modification
| 6
| 33
| 40
| 39
|
Oct 15, 2025
| 8
| 103
|
https://arxiv.org/abs/2510.13054
|
475
|
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video
Diffusion
| 17
| 41
| 47.18
| 49
|
Jun 9, 2025
| 27
| 2,420
|
https://arxiv.org/abs/2506.08009
|
476
|
RealUnify: Do Unified Models Truly Benefit from Unification? A
Comprehensive Benchmark
| 5
| 29
| 38
| 38
|
Sep 29, 2025
| 41
| 14
|
https://arxiv.org/abs/2509.24897
|
477
|
Uniform Discrete Diffusion with Metric Path for Video Generation
| 5
| 24
| 38
| 41
|
Oct 28, 2025
| 39
| 49
|
https://arxiv.org/abs/2510.24717
|
478
|
InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for
Generalist Robot Policy
| 7
| 35
| 42
| 44
|
Oct 15, 2025
| 13
| 167
|
https://arxiv.org/abs/2510.13778
|
479
|
Vidi: Large Multimodal Models for Video Understanding and Editing
| 4
| 27
| 35.5
| 37
|
Apr 22, 2025
| 14
| 247
|
https://arxiv.org/abs/2504.15681
|
480
|
UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models
| 5
| 23
| 38.8
| 48
|
Sep 26, 2025
| 11
| 25
|
https://arxiv.org/abs/2509.21760
|
481
|
Sparser Block-Sparse Attention via Token Permutation
| 3
| 22
| 31
| 26
|
Oct 24, 2025
| 22
| 19
|
https://arxiv.org/abs/2510.21270
|
482
|
DeepEyesV2: Toward Agentic Multimodal Model
| 8
| 39
| 43.5
| 45
|
Nov 7, 2025
| 35
| 963
|
https://arxiv.org/abs/2511.05271
|
483
|
Rethinking Reward Models for Multi-Domain Test-Time Scaling
| 3
| 28
| 31.33
| 33
|
Oct 1, 2025
| 23
| 14
|
https://arxiv.org/abs/2510.00492
|
484
|
Depth Anything with Any Prior
| 6
| 37
| 41.17
| 40
|
May 15, 2025
| 12
| 389
|
https://arxiv.org/abs/2505.10565
|
485
|
AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs
| 4
| 30
| 36.5
| 33
|
Sep 9, 2025
| 18
| 35
|
https://arxiv.org/abs/2509.08031
|
486
|
NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards
| 3
| 31
| 31.67
| 32
|
Nov 18, 2025
| 7
| 26
|
https://arxiv.org/abs/2511.14659
|
487
|
Learning to Optimize Multi-Objective Alignment Through Dynamic Reward
Weighting
| 4
| 35
| 37.5
| 35
|
Sep 14, 2025
| 8
| 4
|
https://arxiv.org/abs/2509.11452
|
488
|
UQ: Assessing Language Models on Unsolved Questions
| 5
| 27
| 40.4
| 45
|
Aug 25, 2025
| 11
| 15
|
https://arxiv.org/abs/2508.17580
|
489
|
MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI
Agents
| 4
| 27
| 37.75
| 40
|
Sep 8, 2025
| 2
| 8
|
https://arxiv.org/abs/2509.06477
|
490
|
ObjFiller-3D: Consistent Multi-view 3D Inpainting via Video Diffusion
Models
| 4
| 25
| 38
| 42
|
Aug 25, 2025
| 5
| 25
|
https://arxiv.org/abs/2508.18271
|
491
|
RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with
Global Illumination
| 5
| 34
| 40.6
| 39
|
May 28, 2025
| 37
| 765
|
https://arxiv.org/abs/2505.21925
|
492
|
Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling
| 9
| 38
| 45.22
| 46
|
Nov 20, 2025
| 6
| 105
|
https://arxiv.org/abs/2511.16301
|
493
|
Foundations of Large Language Models
| 5
| 31
| 40.8
| 40
|
Jan 16, 2025
| 11
| 264
|
https://arxiv.org/abs/2501.09223
|
494
|
DanceGRPO: Unleashing GRPO on Visual Generation
| 11
| 37
| 46.45
| 47
|
May 12, 2025
| 32
| 942
|
https://arxiv.org/abs/2505.07818
|
495
|
SPARK: Synergistic Policy And Reward Co-Evolving Framework
| 3
| 24
| 34.33
| 30
|
Sep 26, 2025
| 15
| 17
|
https://arxiv.org/abs/2509.22624
|
496
|
WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation
| 4
| 30
| 38.5
| 38
|
Nov 14, 2025
| 42
| 25
|
https://arxiv.org/abs/2511.11434
|
497
|
Eliciting Fine-Tuned Transformer Capabilities via Inference-Time
Techniques
| 7
| 34
| 44
| 48
|
Jun 9, 2025
| 8
| 2,910
|
https://arxiv.org/abs/2506.08060
|
498
|
SpatialTrackerV2: 3D Point Tracking Made Easy
| 3
| 32
| 35.33
| 32
|
Jul 16, 2025
| 14
| 658
|
https://arxiv.org/abs/2507.12462
|
499
|
Reasoning with Sampling: Your Base Model is Smarter Than You Think
| 3
| 27
| 35.33
| 33
|
Oct 16, 2025
| 35
| 229
|
https://arxiv.org/abs/2510.14901
|
500
|
DocETL: Agentic Query Rewriting and Evaluation for Complex Document
Processing
| 5
| 37
| 41.6
| 43
|
Oct 16, 2024
| 1
| 3,180
|
https://arxiv.org/abs/2410.12189
|
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