arxiv_id
stringlengths 10
10
| github
stringlengths 0
104
| title
stringlengths 8
177
| upvotes
int64 0
587
| num_comments
int64 0
74
| github_mention_hf
float64 0
1
| num_models
float64 0
100
| num_datasets
float64 0
100
| num_spaces
float64 0
100
| reached_out_link
stringclasses 172
values | reached_out_success
float64 0
1
⌀ | has_artifact
bool 2
classes | submitted_by
stringclasses 537
values | reached_out_note
stringclasses 6
values | date
stringclasses 327
values |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2409.16925 | Game4Loc: A UAV Geo-Localization Benchmark from Game Data | 5 | 2 | 0 | 0 | 1 | 0 | null | null | true | Yux1ang | null | 2024-09-26 |
|
2409.16299 | HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale | 5 | 2 | 0 | 0 | 0 | 0 | null | null | false | akhaliq | null | 2024-09-26 |
|
2409.16493 | NoTeeline: Supporting Real-Time Notetaking from Keypoints with Large Language Models | 6 | 2 | 0 | 0 | 0 | 0 | null | null | false | chuanenlin | null | 2024-09-26 |
|
2409.16288 | https://github.com/ayshrv/gmrw | Self-Supervised Any-Point Tracking by Contrastive Random Walks | 3 | 2 | 0 | 0 | 0 | 0 | null | null | false | ayshrv | null | 2024-09-26 |
2409.17481 | https://github.com/nvlabs/maskllm | MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models | 33 | 3 | 1 | 0 | 0 | 0 | null | null | false | akhaliq | null | 2024-09-27 |
2409.17422 | Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction | 16 | 2 | 0 | 0 | 0 | 0 | null | null | false | akhaliq | null | 2024-09-27 |
|
2409.17280 | Disco4D: Disentangled 4D Human Generation and Animation from a Single Image | 5 | 2 | 0 | 0 | 0 | 0 | null | null | false | akhaliq | null | 2024-09-27 |
|
2409.18124 | Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction | 15 | 2 | 0 | 0 | 0 | 0 | null | null | false | akhaliq | null | 2024-09-27 |
|
2409.18121 | Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction | 4 | 2 | 0 | 0 | 0 | 0 | null | null | false | akhaliq | null | 2024-09-27 |
|
2409.18042 | EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions | 25 | 3 | 0 | 0 | 0 | 0 | null | null | false | akhaliq | null | 2024-09-27 |
|
2409.18125 | LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness | 24 | 2 | 0 | 0 | 0 | 0 | null | null | false | akhaliq | null | 2024-09-27 |
|
2409.17565 | Pixel-Space Post-Training of Latent Diffusion Models | 14 | 2 | 0 | 0 | 0 | 0 | null | null | false | akhaliq | null | 2024-09-27 |
|
2409.14683 | Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling | 7 | 2 | 0 | 0 | 0 | 0 | null | null | false | davanstrien | null | 2024-09-27 |
|
2409.17580 | Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study | 4 | 2 | 0 | 0 | 0 | 0 | null | null | false | SushantGautam | null | 2024-09-27 |
|
2409.14254 | https://github.com/john-hewitt/implicit-ins | Instruction Following without Instruction Tuning | 10 | 3 | 1 | 0 | 0 | 0 | null | null | false | onekq | null | 2024-09-27 |
2409.14195 | The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends | 4 | 2 | 0 | 0 | 0 | 0 | null | null | false | AIRobotZ | null | 2024-09-27 |