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 |
|---|---|---|---|---|---|---|---|---|---|
201
|
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
| 12
| 1
| 1
| 1
|
Jun 14, 2023
| 30
| 9,470
|
https://arxiv.org/abs/2306.08568
|
202
|
Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting
| 18
| 8
| 17.78
| 15
|
May 20, 2025
| 3
| 7,670
|
https://arxiv.org/abs/2505.14059
|
203
|
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning
Dataset and Comprehensive Benchmark
| 19
| 3
| 19.74
| 15
|
Sep 11, 2025
| 35
| 74
|
https://arxiv.org/abs/2509.09680
|
204
|
MiMo-Embodied: X-Embodied Foundation Model Technical Report
| 23
| 9
| 25.26
| 28
|
Nov 20, 2025
| 23
| 260
|
https://arxiv.org/abs/2511.16518
|
205
|
Robot Learning: A Tutorial
| 20
| 6
| 21.5
| 15
|
Oct 14, 2025
| 80
| 281
|
https://arxiv.org/abs/2510.12403
|
206
|
GigaWorld-0: World Models as Data Engine to Empower Embodied AI
| 15
| 8
| 11.93
| 13
|
Nov 25, 2025
| 28
| 214
|
https://arxiv.org/abs/2511.19861
|
207
|
Large Language Model Agent: A Survey on Methodology, Applications and
Challenges
| 82
| 35
| 43.88
| 45
|
Mar 27, 2025
| 82
| 1,710
|
https://arxiv.org/abs/2503.21460
|
208
|
Chronos-2: From Univariate to Universal Forecasting
| 32
| 23
| 32.75
| 31
|
Oct 17, 2025
| 17
| 4,190
|
https://arxiv.org/abs/2510.15821
|
209
|
ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association
| 38
| 16
| 35.74
| 37
|
Sep 1, 2025
| 6
| 134
|
https://arxiv.org/abs/2509.01584
|
210
|
ReCode: Unify Plan and Action for Universal Granularity Control
| 29
| 16
| 31.76
| 30
|
Oct 27, 2025
| 117
| 359
|
https://arxiv.org/abs/2510.23564
|
211
|
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite
Imagery
| 37
| 9
| 36.08
| 41
|
Oct 17, 2025
| 45
| 576
|
https://arxiv.org/abs/2510.15869
|
212
|
OpenVision 2: A Family of Generative Pretrained Visual Encoders for
Multimodal Learning
| 27
| 11
| 30.74
| 30
|
Sep 1, 2025
| 27
| 356
|
https://arxiv.org/abs/2509.01644
|
213
|
4KAgent: Agentic Any Image to 4K Super-Resolution
| 21
| 19
| 25.19
| 22
|
Jul 9, 2025
| 104
| 547
|
https://arxiv.org/abs/2507.07105
|
214
|
ChronoEdit: Towards Temporal Reasoning for Image Editing and World
Simulation
| 45
| 23
| 38.96
| 42
|
Oct 5, 2025
| 14
| 578
|
https://arxiv.org/abs/2510.04290
|
215
|
X-Part: high fidelity and structure coherent shape decomposition
| 17
| 12
| 19.53
| 14
|
Sep 10, 2025
| 25
| 234
|
https://arxiv.org/abs/2509.08643
|
216
|
Huxley-Gödel Machine: Human-Level Coding Agent Development by an
Approximation of the Optimal Self-Improving Machine
| 21
| 10
| 25.71
| 21
|
Oct 24, 2025
| 18
| 251
|
https://arxiv.org/abs/2510.21614
|
217
|
Build Your Personalized Research Group: A Multiagent Framework for
Continual and Interactive Science Automation
| 17
| 2
| 19.82
| 24
|
Oct 17, 2025
| 14
| 267
|
https://arxiv.org/abs/2510.15624
|
218
|
OpenTSLM: Time-Series Language Models for Reasoning over Multivariate
Medical Text- and Time-Series Data
| 21
| 8
| 26.43
| 27
|
Oct 2, 2025
| 15
| 950
|
https://arxiv.org/abs/2510.02410
|
219
|
Trace Anything: Representing Any Video in 4D via Trajectory Fields
| 17
| 11
| 21.18
| 22
|
Oct 15, 2025
| 30
| 271
|
https://arxiv.org/abs/2510.13802
|
220
|
Democratizing AI scientists using ToolUniverse
| 29
| 17
| 33.59
| 38
|
Sep 27, 2025
| 38
| 455
|
https://arxiv.org/abs/2509.23426
|
221
|
S^2-Guidance: Stochastic Self Guidance for Training-Free Enhancement of
Diffusion Models
| 25
| 15
| 30.96
| 23
|
Aug 18, 2025
| 45
| 134
|
https://arxiv.org/abs/2508.12880
|
222
|
UniVerse-1: Unified Audio-Video Generation via Stitching of Experts
| 15
| 9
| 18.07
| 10
|
Sep 7, 2025
| 14
| 53
|
https://arxiv.org/abs/2509.06155
|
223
|
R-Zero: Self-Evolving Reasoning LLM from Zero Data
| 39
| 28
| 38.41
| 38
|
Aug 7, 2025
| 123
| 559
|
https://arxiv.org/abs/2508.05004
|
224
|
On the Generalization of SFT: A Reinforcement Learning Perspective with
Reward Rectification
| 29
| 26
| 34.34
| 35
|
Aug 7, 2025
| 148
| 322
|
https://arxiv.org/abs/2508.05629
|
225
|
InternScenes: A Large-scale Simulatable Indoor Scene Dataset with
Realistic Layouts
| 17
| 7
| 22.94
| 20
|
Sep 13, 2025
| 29
| 161
|
https://arxiv.org/abs/2509.10813
|
226
|
LightReasoner: Can Small Language Models Teach Large Language Models
Reasoning?
| 15
| 9
| 19.33
| 10
|
Oct 9, 2025
| 7
| 362
|
https://arxiv.org/abs/2510.07962
|
227
|
The Denario project: Deep knowledge AI agents for scientific discovery
| 22
| 15
| 29.73
| 26
|
Oct 30, 2025
| 6
| 372
|
https://arxiv.org/abs/2510.26887
|
228
|
R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs
via Bi-Mode Annealing and Reinforce Learning
| 19
| 21
| 26.63
| 23
|
Aug 28, 2025
| 102
| 84
|
https://arxiv.org/abs/2508.21113
|
229
|
Rolling Forcing: Autoregressive Long Video Diffusion in Real Time
| 15
| 3
| 20.13
| 18
|
Sep 29, 2025
| 20
| 109
|
https://arxiv.org/abs/2509.25161
|
230
|
Robot Learning from a Physical World Model
| 23
| 23
| 31.09
| 30
|
Nov 10, 2025
| 26
| 146
|
https://arxiv.org/abs/2511.07416
|
231
|
Genie Envisioner: A Unified World Foundation Platform for Robotic
Manipulation
| 24
| 19
| 31.96
| 29
|
Aug 7, 2025
| 72
| 218
|
https://arxiv.org/abs/2508.05635
|
232
|
RLVE: Scaling Up Reinforcement Learning for Language Models with
Adaptive Verifiable Environments
| 20
| 18
| 28.15
| 23
|
Nov 10, 2025
| 10
| 119
|
https://arxiv.org/abs/2511.07317
|
233
|
Packing Input Frame Context in Next-Frame Prediction Models for Video
Generation
| 47
| 15
| 41.34
| 44
|
Apr 17, 2025
| 52
| 15,800
|
https://arxiv.org/abs/2504.12626
|
234
|
M^3FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial
Meeting Understanding Evaluation Dataset
| 22
| 12
| 30.41
| 28
|
Jun 3, 2025
| 3
| 287
|
https://arxiv.org/abs/2506.02510
|
235
|
Beyond Outlining: Heterogeneous Recursive Planning for Adaptive
Long-form Writing with Language Models
| 13
| 9
| 16.15
| 12
|
Mar 11, 2025
| 3
| 736
|
https://arxiv.org/abs/2503.08275
|
236
|
Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding
and Generation
| 25
| 18
| 33
| 31
|
Aug 5, 2025
| 59
| 727
|
https://arxiv.org/abs/2508.03320
|
237
|
Tree Search for LLM Agent Reinforcement Learning
| 15
| 13
| 21.2
| 19
|
Sep 25, 2025
| 79
| 95
|
https://arxiv.org/abs/2509.21240
|
238
|
VoXtream: Full-Stream Text-to-Speech with Extremely Low Latency
| 24
| 24
| 32.42
| 31
|
Sep 19, 2025
| 2
| 129
|
https://arxiv.org/abs/2509.15969
|
239
|
A Survey of Data Agents: Emerging Paradigm or Overstated Hype?
| 17
| 11
| 24.82
| 19
|
Oct 27, 2025
| 63
| 202
|
https://arxiv.org/abs/2510.23587
|
240
|
SteadyDancer: Harmonized and Coherent Human Image Animation with First-Frame Preservation
| 15
| 17
| 22.07
| 21
|
Nov 24, 2025
| 38
| 189
|
https://arxiv.org/abs/2511.19320
|
241
|
Latent Collaboration in Multi-Agent Systems
| 12
| 12
| 14.92
| 14
|
Nov 25, 2025
| 92
| 240
|
https://arxiv.org/abs/2511.20639
|
242
|
Puppeteer: Rig and Animate Your 3D Models
| 31
| 27
| 37.1
| 37
|
Aug 14, 2025
| 30
| 178
|
https://arxiv.org/abs/2508.10898
|
243
|
GEM: A Gym for Agentic LLMs
| 21
| 24
| 31.29
| 30
|
Oct 1, 2025
| 79
| 284
|
https://arxiv.org/abs/2510.01051
|
244
|
MedRAX: Medical Reasoning Agent for Chest X-ray
| 18
| 9
| 28
| 29
|
Feb 4, 2025
| 2
| 993
|
https://arxiv.org/abs/2502.02673
|
245
|
Omni-Effects: Unified and Spatially-Controllable Visual Effects
Generation
| 17
| 14
| 26.71
| 28
|
Aug 11, 2025
| 56
| 122
|
https://arxiv.org/abs/2508.07981
|
246
|
FlowRL: Matching Reward Distributions for LLM Reasoning
| 14
| 13
| 21.5
| 17
|
Sep 18, 2025
| 90
| 58
|
https://arxiv.org/abs/2509.15207
|
247
|
Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware
Finetuning and MLLM Implicit Feedback
| 14
| 3
| 21.5
| 21
|
Oct 19, 2025
| 18
| 94
|
https://arxiv.org/abs/2510.16888
|
248
|
UMO: Scaling Multi-Identity Consistency for Image Customization via
Matching Reward
| 19
| 18
| 29.37
| 26
|
Sep 8, 2025
| 29
| 131
|
https://arxiv.org/abs/2509.06818
|
249
|
From Pixels to Words -- Towards Native Vision-Language Primitives at
Scale
| 12
| 8
| 16.75
| 13
|
Oct 16, 2025
| 60
| 161
|
https://arxiv.org/abs/2510.14979
|
250
|
LIMI: Less is More for Agency
| 26
| 28
| 35.31
| 35
|
Sep 22, 2025
| 91
| 101
|
https://arxiv.org/abs/2509.17567
|
251
|
TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language
Modeling
| 18
| 12
| 28.44
| 31
|
Aug 22, 2025
| 7
| 149
|
https://arxiv.org/abs/2508.16790
|
252
|
SceneGen: Single-Image 3D Scene Generation in One Feedforward Pass
| 23
| 26
| 33.39
| 31
|
Aug 21, 2025
| 18
| 66
|
https://arxiv.org/abs/2508.15769
|
253
|
The Markovian Thinker
| 19
| 15
| 29.95
| 29
|
Oct 8, 2025
| 27
| 251
|
https://arxiv.org/abs/2510.06557
|
254
|
Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising
| 21
| 22
| 32.05
| 30
|
Nov 9, 2025
| 50
| 191
|
https://arxiv.org/abs/2511.08633
|
255
|
V-Thinker: Interactive Thinking with Images
| 16
| 5
| 26.31
| 30
|
Nov 6, 2025
| 92
| 104
|
https://arxiv.org/abs/2511.04460
|
256
|
UniGenBench++: A Unified Semantic Evaluation Benchmark for Text-to-Image
Generation
| 12
| 5
| 18.17
| 14
|
Oct 21, 2025
| 64
| 100
|
https://arxiv.org/abs/2510.18701
|
257
|
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and
Training Recipe
| 21
| 17
| 32.43
| 31
|
Sep 16, 2025
| 45
| 22,000
|
https://arxiv.org/abs/2509.18154
|
258
|
WorldGrow: Generating Infinite 3D World
| 17
| 12
| 28.12
| 25
|
Oct 24, 2025
| 40
| 313
|
https://arxiv.org/abs/2510.21682
|
259
|
Video-As-Prompt: Unified Semantic Control for Video Generation
| 16
| 11
| 26.88
| 22
|
Oct 23, 2025
| 41
| 217
|
https://arxiv.org/abs/2510.20888
|
260
|
SongBloom: Coherent Song Generation via Interleaved Autoregressive
Sketching and Diffusion Refinement
| 21
| 23
| 32.86
| 31
|
Jun 9, 2025
| 6
| 604
|
https://arxiv.org/abs/2506.07634
|
261
|
FireRedTTS-2: Towards Long Conversational Speech Generation for Podcast
and Chatbot
| 24
| 21
| 35.21
| 35
|
Sep 2, 2025
| 1
| 1,180
|
https://arxiv.org/abs/2509.02020
|
262
|
LTX-Video: Realtime Video Latent Diffusion
| 18
| 19
| 30.17
| 30
|
Dec 30, 2024
| 47
| 8,590
|
https://arxiv.org/abs/2501.00103
|
263
|
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
| 14
| 6
| 24.29
| 23
|
Nov 20, 2025
| 86
| 106
|
https://arxiv.org/abs/2511.16334
|
264
|
SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines
| 13
| 12
| 23.23
| 18
|
Sep 25, 2025
| 86
| 43
|
https://arxiv.org/abs/2509.21320
|
265
|
Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data
| 14
| 15
| 25.36
| 27
|
Nov 16, 2025
| 99
| 1,010
|
https://arxiv.org/abs/2511.12609
|
266
|
Advancing End-to-End Pixel Space Generative Modeling via Self-supervised
Pre-training
| 14
| 4
| 25.43
| 28
|
Oct 14, 2025
| 104
| 98
|
https://arxiv.org/abs/2510.12586
|
267
|
IGGT: Instance-Grounded Geometry Transformer for Semantic 3D
Reconstruction
| 15
| 16
| 27.2
| 23
|
Oct 26, 2025
| 38
| 156
|
https://arxiv.org/abs/2510.22706
|
268
|
CODA: Coordinating the Cerebrum and Cerebellum for a Dual-Brain Computer
Use Agent with Decoupled Reinforcement Learning
| 15
| 5
| 27.47
| 30
|
Aug 27, 2025
| 31
| 25
|
https://arxiv.org/abs/2508.20096
|
269
|
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM
Diversity
| 20
| 26
| 33.45
| 34
|
Oct 1, 2025
| 15
| 219
|
https://arxiv.org/abs/2510.01171
|
270
|
MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation
| 11
| 7
| 19.09
| 21
|
Nov 12, 2025
| 64
| 248
|
https://arxiv.org/abs/2511.09611
|
271
|
Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation
| 14
| 13
| 25.93
| 22
|
Nov 19, 2025
| 207
| 471
|
https://arxiv.org/abs/2511.14993
|
272
|
MemOS: A Memory OS for AI System
| 36
| 13
| 41.33
| 45
|
Jul 4, 2025
| 155
| 3,110
|
https://arxiv.org/abs/2507.03724
|
273
|
DA^2: Depth Anything in Any Direction
| 17
| 8
| 30.53
| 37
|
Sep 30, 2025
| 20
| 120
|
https://arxiv.org/abs/2509.26618
|
274
|
OneReward: Unified Mask-Guided Image Generation via Multi-Task Human
Preference Learning
| 15
| 11
| 28
| 30
|
Aug 28, 2025
| 13
| 208
|
https://arxiv.org/abs/2508.21066
|
275
|
Paper2Code: Automating Code Generation from Scientific Papers in Machine
Learning
| 32
| 27
| 40.34
| 40
|
Apr 24, 2025
| 120
| 3,730
|
https://arxiv.org/abs/2504.17192
|
276
|
ThinkMorph: Emergent Properties in Multimodal Interleaved
Chain-of-Thought Reasoning
| 17
| 9
| 31
| 28
|
Oct 30, 2025
| 78
| 87
|
https://arxiv.org/abs/2510.27492
|
277
|
The Well: a Large-Scale Collection of Diverse Physics Simulations for
Machine Learning
| 12
| 13
| 23
| 14
|
Nov 30, 2024
| 20
| 1,110
|
https://arxiv.org/abs/2412.00568
|
278
|
Versatile Framework for Song Generation with Prompt-based Control
| 44
| 34
| 43.5
| 45
|
Apr 27, 2025
| 6
| 201
|
https://arxiv.org/abs/2504.19062
|
279
|
Durian: Dual Reference-guided Portrait Animation with Attribute Transfer
| 15
| 16
| 29.13
| 22
|
Sep 4, 2025
| 4
| 14
|
https://arxiv.org/abs/2509.04434
|
280
|
Self-Forcing++: Towards Minute-Scale High-Quality Video Generation
| 19
| 22
| 34
| 30
|
Oct 2, 2025
| 86
| 145
|
https://arxiv.org/abs/2510.02283
|
281
|
OmniSVG: A Unified Scalable Vector Graphics Generation Model
| 16
| 16
| 30.88
| 28
|
Apr 8, 2025
| 180
| 2,100
|
https://arxiv.org/abs/2504.06263
|
282
|
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn
Tool-Integrated Reasoning
| 22
| 19
| 36.55
| 43
|
Sep 2, 2025
| 76
| 250
|
https://arxiv.org/abs/2509.02479
|
283
|
VGGT-X: When VGGT Meets Dense Novel View Synthesis
| 13
| 15
| 26.69
| 25
|
Sep 29, 2025
| 15
| 69
|
https://arxiv.org/abs/2509.25191
|
284
|
VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual
Representation
| 11
| 5
| 22.45
| 18
|
Nov 4, 2025
| 95
| 88
|
https://arxiv.org/abs/2511.02778
|
285
|
Thinking with Camera: A Unified Multimodal Model for Camera-Centric
Understanding and Generation
| 13
| 4
| 26.92
| 29
|
Oct 9, 2025
| 115
| 200
|
https://arxiv.org/abs/2510.08673
|
286
|
Latent Diffusion Model without Variational Autoencoder
| 14
| 13
| 28.71
| 24
|
Oct 17, 2025
| 39
| 156
|
https://arxiv.org/abs/2510.15301
|
287
|
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement
Learning
| 10
| 8
| 20.5
| 19
|
Sep 29, 2025
| 4
| 164
|
https://arxiv.org/abs/2509.24372
|
288
|
VideoFrom3D: 3D Scene Video Generation via Complementary Image and Video
Diffusion Models
| 18
| 18
| 34.39
| 36
|
Sep 22, 2025
| 25
| 83
|
https://arxiv.org/abs/2509.17985
|
289
|
VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with
Voxel-Aligned Prediction
| 14
| 16
| 29.86
| 24
|
Sep 23, 2025
| 22
| 65
|
https://arxiv.org/abs/2509.19297
|
290
|
MolmoAct: Action Reasoning Models that can Reason in Space
| 22
| 28
| 37.68
| 37
|
Aug 11, 2025
| 42
| 163
|
https://arxiv.org/abs/2508.07917
|
291
|
Ming-UniAudio: Speech LLM for Joint Understanding, Generation and
Editing with Unified Representation
| 14
| 9
| 30.21
| 28
|
Oct 26, 2025
| 9
| 370
|
https://arxiv.org/abs/2511.05516
|
292
|
MAPO: Mixed Advantage Policy Optimization
| 12
| 12
| 27.08
| 23
|
Sep 23, 2025
| 25
| 34
|
https://arxiv.org/abs/2509.18849
|
293
|
DepthLM: Metric Depth From Vision Language Models
| 18
| 26
| 35.06
| 32
|
Sep 29, 2025
| 5
| 130
|
https://arxiv.org/abs/2509.25413
|
294
|
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language
Models
| 41
| 26
| 44.05
| 45
|
Jan 4, 2025
| 102
| 8,130
|
https://arxiv.org/abs/2501.03262
|
295
|
DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning
| 26
| 25
| 40.15
| 42
|
Aug 7, 2025
| 62
| 143
|
https://arxiv.org/abs/2508.05405
|
296
|
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal
Generation and Understanding
| 13
| 18
| 29.38
| 30
|
Oct 7, 2025
| 48
| 834
|
https://arxiv.org/abs/2510.06308
|
297
|
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
| 16
| 24
| 33.62
| 29
|
Nov 24, 2025
| 48
| 404
|
https://arxiv.org/abs/2511.19399
|
298
|
IMAGGarment-1: Fine-Grained Garment Generation for Controllable Fashion
Design
| 14
| 21
| 31.64
| 31
|
Apr 17, 2025
| 1
| 263
|
https://arxiv.org/abs/2504.13176
|
299
|
Interleaving Reasoning for Better Text-to-Image Generation
| 11
| 16
| 26.64
| 17
|
Sep 8, 2025
| 12
| 24
|
https://arxiv.org/abs/2509.06945
|
300
|
ARE: Scaling Up Agent Environments and Evaluations
| 17
| 24
| 35.24
| 34
|
Sep 21, 2025
| 29
| 257
|
https://arxiv.org/abs/2509.17158
|
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