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|---|---|---|---|---|---|---|---|---|---|---|---|---|
2309.07986
|
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models
|
https://huggingface.co/papers/2309.07986
| 2 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
|
2309.08051
|
Retrieval-Augmented Text-to-Audio Generation
|
https://huggingface.co/papers/2309.08051
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
|
2309.07974
|
https://github.com/facebookresearch/neuralmemory
|
A Data Source for Reasoning Embodied Agents
|
https://huggingface.co/papers/2309.07974
| 4 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
2309.07990
|
Leveraging Contextual Information for Effective Entity Salience Detection
|
https://huggingface.co/papers/2309.07990
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
|
2309.08172
|
https://github.com/mayer123/laser
|
LASER: LLM Agent with State-Space Exploration for Web Navigation
|
https://huggingface.co/papers/2309.08172
| 10 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
2309.07970
|
Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping
|
https://huggingface.co/papers/2309.07970
| 7 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
|
2309.08600
|
https://github.com/hoagyc/sparse_coding
|
Sparse Autoencoders Find Highly Interpretable Features in Language Models
|
https://huggingface.co/papers/2309.08600
| 12 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
2309.08520
|
Scaling Laws for Sparsely-Connected Foundation Models
|
https://huggingface.co/papers/2309.08520
| 12 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
|
2309.08210
|
Investigating Answerability of LLMs for Long-Form Question Answering
|
https://huggingface.co/papers/2309.08210
| 11 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
|
2309.08586
|
Replacing softmax with ReLU in Vision Transformers
|
https://huggingface.co/papers/2309.08586
| 16 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
|
2309.08532
|
https://github.com/beeevita/evoprompt
|
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
|
https://huggingface.co/papers/2309.08532
| 51 | 11 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
2309.08587
|
Compositional Foundation Models for Hierarchical Planning
|
https://huggingface.co/papers/2309.08587
| 9 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-18
|
|
2309.08628
|
Recovering from Privacy-Preserving Masking with Large Language Models
|
https://huggingface.co/papers/2309.08628
| 4 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
|
2309.08637
|
TextBind: Multi-turn Interleaved Multimodal Instruction-following
|
https://huggingface.co/papers/2309.08637
| 7 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
|
2309.08646
|
Cure the headache of Transformers via Collinear Constrained Attention
|
https://huggingface.co/papers/2309.08646
| 12 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
|
2309.08773
|
Enhance audio generation controllability through representation similarity regularization
|
https://huggingface.co/papers/2309.08773
| 3 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
|
2309.08827
|
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs
|
https://huggingface.co/papers/2309.08827
| 4 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
|
2309.08963
|
https://github.com/gersteinlab/struc-bench
|
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
|
https://huggingface.co/papers/2309.08963
| 9 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
2309.08968
|
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)
|
https://huggingface.co/papers/2309.08968
| 22 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
|
2309.06497
|
https://github.com/facebookresearch/optimizers/tree/main/distributed_shampoo
|
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
|
https://huggingface.co/papers/2309.06497
| 4 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
2309.09400
|
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
|
https://huggingface.co/papers/2309.09400
| 78 | 4 | 0 | 17 | 8 | 6 | null | 0 |
2023-09-19
|
|
2309.09530
|
https://github.com/microsoft/lmops
|
Adapting Large Language Models via Reading Comprehension
|
https://huggingface.co/papers/2309.09530
| 74 | 3 | 0 | 76 | 16 | 26 | null | 0 |
2023-09-19
|
2309.08804
|
Stack-and-Delay: a new codebook pattern for music generation
|
https://huggingface.co/papers/2309.08804
| 4 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
|
2309.08872
|
PDFTriage: Question Answering over Long, Structured Documents
|
https://huggingface.co/papers/2309.08872
| 52 | 6 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
|
2309.09117
|
Contrastive Decoding Improves Reasoning in Large Language Models
|
https://huggingface.co/papers/2309.09117
| 37 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
|
2309.09971
|
MindAgent: Emergent Gaming Interaction
|
https://huggingface.co/papers/2309.09971
| 11 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
|
2309.09506
|
https://github.com/projectnuwa/layoutnuwa
|
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
|
https://huggingface.co/papers/2309.09506
| 14 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
2309.09958
|
https://github.com/haotian-liu/LLaVA
|
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
|
https://huggingface.co/papers/2309.09958
| 18 | 1 | 1 | 5 | 0 | 1 | null | 0 |
2023-09-19
|
2309.09390
|
Augmenting text for spoken language understanding with Large Language Models
|
https://huggingface.co/papers/2309.09390
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-19
|
|
2309.10202
|
Stabilizing RLHF through Advantage Model and Selective Rehearsal
|
https://huggingface.co/papers/2309.10202
| 9 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-20
|
|
2309.10818
|
https://github.com/cerebras/modelzoo
|
SlimPajama-DC: Understanding Data Combinations for LLM Training
|
https://huggingface.co/papers/2309.10818
| 10 | 1 | 0 | 1 | 1 | 0 | null | 0 |
2023-09-20
|
2309.10150
|
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
|
https://huggingface.co/papers/2309.10150
| 24 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-20
|
|
2309.10537
|
FoleyGen: Visually-Guided Audio Generation
|
https://huggingface.co/papers/2309.10537
| 7 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-20
|
|
2309.10706
|
https://github.com/opennlg/openba
|
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch
|
https://huggingface.co/papers/2309.10706
| 15 | 1 | 1 | 2 | 0 | 0 | null | 0 |
2023-09-20
|
2309.10305
|
https://github.com/baichuan-inc/baichuan2
|
Baichuan 2: Open Large-scale Language Models
|
https://huggingface.co/papers/2309.10305
| 17 | 2 | 1 | 1 | 0 | 0 | null | 0 |
2023-09-20
|
2309.10668
|
https://github.com/google-deepmind/language_modeling_is_compression
|
Language Modeling Is Compression
|
https://huggingface.co/papers/2309.10668
| 82 | 7 | 0 | 0 | 0 | 1 | null | 0 |
2023-09-20
|
2309.10020
|
https://github.com/computer-vision-in-the-wild/cvinw_readings
|
Multimodal Foundation Models: From Specialists to General-Purpose Assistants
|
https://huggingface.co/papers/2309.10020
| 40 | 2 | 1 | 5 | 0 | 1 | null | 0 |
2023-09-20
|
2309.10279
|
360^circ Reconstruction From a Single Image Using Space Carved Outpainting
|
https://huggingface.co/papers/2309.10279
| 5 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-20
|
|
2309.11009
|
Controllable Dynamic Appearance for Neural 3D Portraits
|
https://huggingface.co/papers/2309.11009
| 2 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-21
|
|
2309.11500
|
A Large-scale Dataset for Audio-Language Representation Learning
|
https://huggingface.co/papers/2309.11500
| 9 | 1 | 0 | 0 | 1 | 0 | null | 0 |
2023-09-21
|
|
2309.11197
|
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute
|
https://huggingface.co/papers/2309.11197
| 4 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-21
|
|
2309.10917
|
End-to-End Speech Recognition Contextualization with Large Language Models
|
https://huggingface.co/papers/2309.10917
| 9 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-21
|
|
2309.11495
|
Chain-of-Verification Reduces Hallucination in Large Language Models
|
https://huggingface.co/papers/2309.11495
| 38 | 5 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-21
|
|
2309.11497
|
https://github.com/ChenyangSi/FreeU
|
FreeU: Free Lunch in Diffusion U-Net
|
https://huggingface.co/papers/2309.11497
| 63 | 5 | 1 | 1 | 0 | 2 | null | 0 |
2023-09-21
|
2309.11499
|
https://github.com/RunpeiDong/DreamLLM
|
DreamLLM: Synergistic Multimodal Comprehension and Creation
|
https://huggingface.co/papers/2309.11499
| 58 | 5 | 1 | 0 | 0 | 0 | null | 0 |
2023-09-21
|
2309.10952
|
LMDX: Language Model-based Document Information Extraction and Localization
|
https://huggingface.co/papers/2309.10952
| 63 | 19 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-21
|
|
2309.11419
|
Kosmos-2.5: A Multimodal Literate Model
|
https://huggingface.co/papers/2309.11419
| 50 | 4 | 0 | 2 | 0 | 5 | null | 0 |
2023-09-21
|
|
2309.12311
|
https://github.com/sled-group/chat-with-nerf
|
LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
|
https://huggingface.co/papers/2309.12311
| 16 | 2 | 1 | 0 | 0 | 0 | null | 0 |
2023-09-22
|
2309.12284
|
https://github.com/meta-math/MetaMath
|
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
|
https://huggingface.co/papers/2309.12284
| 18 | 4 | 0 | 19 | 11 | 31 | null | 0 |
2023-09-22
|
2309.11523
|
https://github.com/qhfan/RMT
|
RMT: Retentive Networks Meet Vision Transformers
|
https://huggingface.co/papers/2309.11523
| 32 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-22
|
2309.12207
|
https://github.com/sdascoli/boolformer
|
Boolformer: Symbolic Regression of Logic Functions with Transformers
|
https://huggingface.co/papers/2309.12207
| 11 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-22
|
2309.11998
|
https://github.com/lm-sys/fastchat
|
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
|
https://huggingface.co/papers/2309.11998
| 23 | 4 | 1 | 0 | 2 | 3 | null | 0 |
2023-09-22
|
2309.11674
|
https://github.com/fe1ixxu/alma
|
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
|
https://huggingface.co/papers/2309.11674
| 30 | 3 | 1 | 31 | 2 | 5 | null | 0 |
2023-09-22
|
2309.12307
|
https://github.com/dvlab-research/longlora
|
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
|
https://huggingface.co/papers/2309.12307
| 84 | 9 | 1 | 27 | 1 | 7 | null | 0 |
2023-09-22
|
2309.11568
|
https://github.com/cerebras/modelzoo
|
BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model
|
https://huggingface.co/papers/2309.11568
| 9 | 2 | 0 | 3 | 0 | 8 | null | 0 |
2023-09-22
|
2309.12499
|
CodePlan: Repository-level Coding using LLMs and Planning
|
https://huggingface.co/papers/2309.12499
| 69 | 13 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-25
|
|
2309.13042
|
https://github.com/jiahao000/mosaicfusion
|
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
|
https://huggingface.co/papers/2309.13042
| 9 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-25
|
2309.13018
|
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model
|
https://huggingface.co/papers/2309.13018
| 9 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-25
|
|
2309.13041
|
Robotic Offline RL from Internet Videos via Value-Function Pre-Training
|
https://huggingface.co/papers/2309.13041
| 8 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-25
|
|
2309.12424
|
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion
|
https://huggingface.co/papers/2309.12424
| 11 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-25
|
|
2309.13308
|
Calibrating LLM-Based Evaluator
|
https://huggingface.co/papers/2309.13308
| 10 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-26
|
|
2309.14327
|
https://github.com/microsoft/deepspeedexamples
|
DeepSpeed-VisualChat: Multi-Round Multi-Image Interleave Chat via Multi-Modal Causal Attention
|
https://huggingface.co/papers/2309.14327
| 21 | 2 | 1 | 0 | 0 | 0 | null | 0 |
2023-09-26
|
2309.13356
|
Exploring Large Language Models' Cognitive Moral Development through Defining Issues Test
|
https://huggingface.co/papers/2309.13356
| 36 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-26
|
|
2309.13952
|
VidChapters-7M: Video Chapters at Scale
|
https://huggingface.co/papers/2309.13952
| 9 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-26
|
|
2309.13075
|
https://github.com/kumar-shridhar/screws
|
SCREWS: A Modular Framework for Reasoning with Revisions
|
https://huggingface.co/papers/2309.13075
| 15 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-26
|
2309.14322
|
Small-scale proxies for large-scale Transformer training instabilities
|
https://huggingface.co/papers/2309.14322
| 18 | 2 | 0 | 3 | 0 | 1 | null | 0 |
2023-09-26
|
|
2309.14525
|
Aligning Large Multimodal Models with Factually Augmented RLHF
|
https://huggingface.co/papers/2309.14525
| 30 | 2 | 0 | 0 | 1 | 0 | null | 0 |
2023-09-27
|
|
2309.14717
|
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
|
https://huggingface.co/papers/2309.14717
| 43 | 8 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-27
|
|
2309.15098
|
https://github.com/microsoft/mechanistic-error-probe
|
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
|
https://huggingface.co/papers/2309.15098
| 7 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-27
|
2309.14592
|
https://github.com/intellabs/fp8-emulation-toolkit
|
Efficient Post-training Quantization with FP8 Formats
|
https://huggingface.co/papers/2309.14592
| 10 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-27
|
2309.14509
|
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
|
https://huggingface.co/papers/2309.14509
| 17 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-27
|
|
2309.15091
|
VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning
|
https://huggingface.co/papers/2309.15091
| 32 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-27
|
|
2309.15103
|
https://github.com/Vchitect/LaVie
|
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
|
https://huggingface.co/papers/2309.15103
| 42 | 3 | 1 | 1 | 0 | 4 | null | 0 |
2023-09-27
|
2309.15273
|
https://github.com/sha2nkt/deco
|
DECO: Dense Estimation of 3D Human-Scene Contact In The Wild
|
https://huggingface.co/papers/2309.15273
| 7 | 1 | 1 | 0 | 0 | 1 | null | 0 |
2023-09-28
|
2309.15564
|
Jointly Training Large Autoregressive Multimodal Models
|
https://huggingface.co/papers/2309.15564
| 8 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-28
|
|
2309.15426
|
https://github.com/oppo-us-research/NeuRBF
|
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions
|
https://huggingface.co/papers/2309.15426
| 14 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-28
|
2309.15505
|
https://github.com/google-research/google-research
|
Finite Scalar Quantization: VQ-VAE Made Simple
|
https://huggingface.co/papers/2309.15505
| 21 | 5 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-28
|
2309.15818
|
https://github.com/showlab/show-1
|
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
|
https://huggingface.co/papers/2309.15818
| 18 | 4 | 1 | 6 | 0 | 2 | null | 0 |
2023-09-28
|
2309.15129
|
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
|
https://huggingface.co/papers/2309.15129
| 6 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-28
|
|
2309.15251
|
VPA: Fully Test-Time Visual Prompt Adaptation
|
https://huggingface.co/papers/2309.15251
| 4 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-28
|
|
2309.15223
|
Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition
|
https://huggingface.co/papers/2309.15223
| 17 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-28
|
|
2309.15807
|
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
|
https://huggingface.co/papers/2309.15807
| 30 | 9 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-28
|
|
2309.16643
|
https://github.com/lisiyao21/animeinbet
|
Deep Geometrized Cartoon Line Inbetweening
|
https://huggingface.co/papers/2309.16643
| 23 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-29
|
2309.16588
|
https://github.com/facebookresearch/dinov2
|
Vision Transformers Need Registers
|
https://huggingface.co/papers/2309.16588
| 73 | 9 | 0 | 23 | 0 | 0 | null | 0 |
2023-09-29
|
2309.16671
|
https://github.com/facebookresearch/metaclip
|
Demystifying CLIP Data
|
https://huggingface.co/papers/2309.16671
| 18 | 3 | 1 | 13 | 0 | 9 | null | 0 |
2023-09-29
|
2309.16583
|
https://github.com/gpt-fathom/gpt-fathom
|
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond
|
https://huggingface.co/papers/2309.16583
| 12 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-09-29
|
2309.16650
|
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning
|
https://huggingface.co/papers/2309.16650
| 8 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-29
|
|
2309.16235
|
Language models in molecular discovery
|
https://huggingface.co/papers/2309.16235
| 10 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-29
|
|
2309.16496
|
CCEdit: Creative and Controllable Video Editing via Diffusion Models
|
https://huggingface.co/papers/2309.16496
| 8 | 1 | 0 | 1 | 1 | 0 | null | 0 |
2023-09-29
|
|
2309.16429
|
https://github.com/guyyariv/TempoTokens
|
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
|
https://huggingface.co/papers/2309.16429
| 10 | 2 | 1 | 0 | 0 | 0 | null | 0 |
2023-09-29
|
2309.16653
|
https://github.com/dreamgaussian/dreamgaussian
|
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
|
https://huggingface.co/papers/2309.16653
| 44 | 5 | 0 | 0 | 0 | 17 | null | 0 |
2023-09-29
|
2309.16039
|
Effective Long-Context Scaling of Foundation Models
|
https://huggingface.co/papers/2309.16039
| 29 | 3 | 0 | 7 | 0 | 0 | null | 0 |
2023-09-29
|
|
2309.16058
|
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
|
https://huggingface.co/papers/2309.16058
| 53 | 7 | 0 | 2 | 0 | 1 | null | 0 |
2023-09-29
|
|
2309.16414
|
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
|
https://huggingface.co/papers/2309.16414
| 19 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-29
|
|
2309.16534
|
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
|
https://huggingface.co/papers/2309.16534
| 15 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-29
|
|
2309.16668
|
RealFill: Reference-Driven Generation for Authentic Image Completion
|
https://huggingface.co/papers/2309.16668
| 12 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-29
|
|
2309.16609
|
https://github.com/QwenLM/Qwen-7B
|
Qwen Technical Report
|
https://huggingface.co/papers/2309.16609
| 32 | 2 | 1 | 46 | 0 | 100 | null | 0 |
2023-09-29
|
2309.16585
|
https://github.com/gsgen3d/gsgen
|
Text-to-3D using Gaussian Splatting
|
https://huggingface.co/papers/2309.16585
| 30 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-09-29
|
2310.00426
|
https://github.com/PixArt-alpha/PixArt-alpha
|
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
|
https://huggingface.co/papers/2310.00426
| 60 | 11 | 1 | 8 | 0 | 100 | null | 0 |
2023-10-03
|
2310.00898
|
Enable Language Models to Implicitly Learn Self-Improvement From Data
|
https://huggingface.co/papers/2310.00898
| 22 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-10-03
|
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