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|---|---|---|---|---|---|---|---|---|---|---|---|---|
2307.16890
|
Discovering Adaptable Symbolic Algorithms from Scratch
|
https://huggingface.co/papers/2307.16890
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-01
|
|
2307.16888
|
Virtual Prompt Injection for Instruction-Tuned Large Language Models
|
https://huggingface.co/papers/2307.16888
| 6 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-01
|
|
2307.16715
|
https://github.com/showlab/univtg
|
UniVTG: Towards Unified Video-Language Temporal Grounding
|
https://huggingface.co/papers/2307.16715
| 9 | 2 | 1 | 0 | 0 | 2 | null | 0 |
2023-08-01
|
2307.16368
|
https://github.com/brown-palm/AntGPT
|
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
|
https://huggingface.co/papers/2307.16368
| 10 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-01
|
2307.16449
|
https://github.com/rese1f/MovieChat
|
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
|
https://huggingface.co/papers/2307.16449
| 15 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-08-01
|
2307.16184
|
https://github.com/mshukor/unival
|
Unified Model for Image, Video, Audio and Language Tasks
|
https://huggingface.co/papers/2307.16184
| 14 | 0 | 1 | 0 | 0 | 1 | null | 0 |
2023-08-01
|
2307.15771
|
The Hydra Effect: Emergent Self-repair in Language Model Computations
|
https://huggingface.co/papers/2307.15771
| 18 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-01
|
|
2307.15780
|
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
|
https://huggingface.co/papers/2307.15780
| 24 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-01
|
|
2307.15818
|
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
|
https://huggingface.co/papers/2307.15818
| 27 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-01
|
|
2307.16372
|
https://github.com/seungheondoh/lp-music-caps
|
LP-MusicCaps: LLM-Based Pseudo Music Captioning
|
https://huggingface.co/papers/2307.16372
| 35 | 0 | 0 | 3 | 3 | 4 | null | 0 |
2023-08-01
|
2307.16789
|
https://github.com/openbmb/toolbench
|
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
|
https://huggingface.co/papers/2307.16789
| 96 | 4 | 1 | 0 | 1 | 0 | null | 0 |
2023-08-01
|
2307.16686
|
Guiding Image Captioning Models Toward More Specific Captions
|
https://huggingface.co/papers/2307.16686
| 15 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-01
|
|
2308.00675
|
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models
|
https://huggingface.co/papers/2308.00675
| 35 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-02
|
|
2308.00304
|
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models
|
https://huggingface.co/papers/2308.00304
| 23 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-02
|
|
2308.00436
|
https://github.com/ningmiao/selfcheck
|
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
|
https://huggingface.co/papers/2308.00436
| 21 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-02
|
2308.00113
|
https://github.com/facebookresearch/three_bricks
|
Three Bricks to Consolidate Watermarks for Large Language Models
|
https://huggingface.co/papers/2308.00113
| 13 | 0 | 1 | 0 | 0 | 1 | null | 0 |
2023-08-02
|
2308.00566
|
Predicting masked tokens in stochastic locations improves masked image modeling
|
https://huggingface.co/papers/2308.00566
| 15 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-02
|
|
2308.01313
|
More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes
|
https://huggingface.co/papers/2308.01313
| 7 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-03
|
|
2308.01300
|
Revisiting DETR Pre-training for Object Detection
|
https://huggingface.co/papers/2308.01300
| 8 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-03
|
|
2308.00951
|
https://github.com/google-research/vmoe
|
From Sparse to Soft Mixtures of Experts
|
https://huggingface.co/papers/2308.00951
| 20 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-03
|
2308.00906
|
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
|
https://huggingface.co/papers/2308.00906
| 13 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-03
|
|
2308.01317
|
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
|
https://huggingface.co/papers/2308.01317
| 12 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-03
|
|
2308.01904
|
https://github.com/impiga/plain-detr
|
DETR Doesn't Need Multi-Scale or Locality Design
|
https://huggingface.co/papers/2308.01904
| 7 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-04
|
2308.01499
|
TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality Explorations
|
https://huggingface.co/papers/2308.01499
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-04
|
|
2308.01379
|
Computational Long Exposure Mobile Photography
|
https://huggingface.co/papers/2308.01379
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-04
|
|
2308.01734
|
Ambient Adventures: Teaching ChatGPT on Developing Complex Stories
|
https://huggingface.co/papers/2308.01734
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-04
|
|
2308.01907
|
https://github.com/opengvlab/all-seeing
|
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
|
https://huggingface.co/papers/2308.01907
| 10 | 0 | 1 | 0 | 2 | 2 | null | 0 |
2023-08-04
|
2308.01546
|
https://github.com/retrocirce/musicldm
|
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies
|
https://huggingface.co/papers/2308.01546
| 17 | 0 | 1 | 1 | 0 | 1 | null | 0 |
2023-08-04
|
2308.01544
|
Multimodal Neurons in Pretrained Text-Only Transformers
|
https://huggingface.co/papers/2308.01544
| 15 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-04
|
|
2308.01825
|
https://github.com/ofa-sys/gsm8k-screl
|
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
|
https://huggingface.co/papers/2308.01825
| 21 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-08-04
|
2308.01390
|
https://github.com/mlfoundations/open_flamingo
|
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
|
https://huggingface.co/papers/2308.01390
| 31 | 2 | 1 | 5 | 0 | 2 | null | 0 |
2023-08-04
|
2308.01399
|
Learning to Model the World with Language
|
https://huggingface.co/papers/2308.01399
| 34 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-04
|
|
2308.01477
|
HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions
|
https://huggingface.co/papers/2308.01477
| 11 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-04
|
|
2308.01320
|
https://github.com/microsoft/DeepSpeed
|
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales
|
https://huggingface.co/papers/2308.01320
| 43 | 3 | 1 | 0 | 0 | 0 | null | 0 |
2023-08-04
|
2308.02453
|
https://github.com/srl-ethz/faive_gym_oss
|
Getting the Ball Rolling: Learning a Dexterous Policy for a Biomimetic Tendon-Driven Hand with Rolling Contact Joints
|
https://huggingface.co/papers/2308.02453
| 8 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-07
|
2308.02151
|
https://github.com/weirayao/retroformer
|
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
|
https://huggingface.co/papers/2308.02151
| 18 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2023-08-07
|
2308.02490
|
https://github.com/yuweihao/mm-vet
|
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
|
https://huggingface.co/papers/2308.02490
| 16 | 0 | 1 | 0 | 2 | 0 | null | 0 |
2023-08-07
|
2308.02487
|
https://github.com/bytedance/fc-clip
|
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
|
https://huggingface.co/papers/2308.02487
| 12 | 0 | 1 | 0 | 0 | 1 | null | 0 |
2023-08-07
|
2308.02180
|
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
|
https://huggingface.co/papers/2308.02180
| 9 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-07
|
|
2308.01937
|
Training Data Protection with Compositional Diffusion Models
|
https://huggingface.co/papers/2308.01937
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-07
|
|
2308.03280
|
Mirror-NeRF: Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing
|
https://huggingface.co/papers/2308.03280
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
|
2308.03028
|
Pre-Trained Large Language Models for Industrial Control
|
https://huggingface.co/papers/2308.03028
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
|
2308.03729
|
https://github.com/opengvlab/multi-modality-arena
|
Tiny LVLM-eHub: Early Multimodal Experiments with Bard
|
https://huggingface.co/papers/2308.03729
| 9 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
2308.03421
|
RecycleGPT: An Autoregressive Language Model with Recyclable Module
|
https://huggingface.co/papers/2308.03421
| 7 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
|
2308.02560
|
From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion
|
https://huggingface.co/papers/2308.02560
| 4 | 0 | 0 | 0 | 0 | 77 | null | 0 |
2023-08-08
|
|
2308.03291
|
https://github.com/stanojevic/fast-mst-algorithm
|
SynJax: Structured Probability Distributions for JAX
|
https://huggingface.co/papers/2308.03291
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
2308.03296
|
Studying Large Language Model Generalization with Influence Functions
|
https://huggingface.co/papers/2308.03296
| 10 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
|
2308.03290
|
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
|
https://huggingface.co/papers/2308.03290
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
|
2308.03427
|
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents
|
https://huggingface.co/papers/2308.03427
| 14 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
|
2308.02669
|
ConceptLab: Creative Generation using Diffusion Prior Constraints
|
https://huggingface.co/papers/2308.02669
| 22 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
|
2308.03526
|
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
|
https://huggingface.co/papers/2308.03526
| 25 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
|
2308.03610
|
https://github.com/bytedance/AvatarVerse
|
AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose
|
https://huggingface.co/papers/2308.03610
| 22 | 1 | 1 | 1 | 0 | 0 | null | 0 |
2023-08-08
|
2308.03757
|
3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields
|
https://huggingface.co/papers/2308.03757
| 10 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
|
2308.02510
|
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals
|
https://huggingface.co/papers/2308.02510
| 20 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
|
2308.03279
|
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
|
https://huggingface.co/papers/2308.03279
| 20 | 2 | 0 | 10 | 3 | 4 | null | 0 |
2023-08-08
|
|
2308.03688
|
https://github.com/thudm/agentbench
|
AgentBench: Evaluating LLMs as Agents
|
https://huggingface.co/papers/2308.03688
| 24 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-08
|
2308.04079
|
https://github.com/graphdeco-inria/gaussian-splatting
|
3D Gaussian Splatting for Real-Time Radiance Field Rendering
|
https://huggingface.co/papers/2308.04079
| 163 | 13 | 1 | 0 | 0 | 0 | null | 0 |
2023-08-09
|
2308.03958
|
https://github.com/google/sycophancy-intervention
|
Simple synthetic data reduces sycophancy in large language models
|
https://huggingface.co/papers/2308.03958
| 21 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-08-09
|
2308.04265
|
FLIRT: Feedback Loop In-context Red Teaming
|
https://huggingface.co/papers/2308.04265
| 12 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-09
|
|
2308.04430
|
https://github.com/kernelmachine/silo-lm
|
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
|
https://huggingface.co/papers/2308.04430
| 9 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-08-09
|
2308.03793
|
https://github.com/michiganleon/reclip_wacv
|
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation
|
https://huggingface.co/papers/2308.03793
| 10 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-09
|
2308.04623
|
Accelerating LLM Inference with Staged Speculative Decoding
|
https://huggingface.co/papers/2308.04623
| 22 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-10
|
|
2308.04556
|
https://github.com/NVlabs/FocalFormer3D
|
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
|
https://huggingface.co/papers/2308.04556
| 8 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-10
|
2308.04729
|
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models
|
https://huggingface.co/papers/2308.04729
| 31 | 6 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-10
|
|
2308.04592
|
https://github.com/facebookresearch/shepherd
|
Shepherd: A Critic for Language Model Generation
|
https://huggingface.co/papers/2308.04592
| 28 | 5 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-10
|
2308.05734
|
https://github.com/haoheliu/AudioLDM2
|
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining
|
https://huggingface.co/papers/2308.05734
| 34 | 0 | 1 | 5 | 0 | 34 | null | 0 |
2023-08-11
|
2308.05374
|
https://github.com/kevinyaobytedance/llm_eval
|
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
|
https://huggingface.co/papers/2308.05374
| 25 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-11
|
2308.05737
|
https://github.com/alaamaalouf/followanything
|
Follow Anything: Open-set detection, tracking, and following in real-time
|
https://huggingface.co/papers/2308.05737
| 11 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-11
|
2308.05326
|
https://github.com/aqlaboratory/openfold
|
OpenProteinSet: Training data for structural biology at scale
|
https://huggingface.co/papers/2308.05326
| 10 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-11
|
2308.05371
|
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
|
https://huggingface.co/papers/2308.05371
| 8 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-11
|
|
2308.05221
|
Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI
|
https://huggingface.co/papers/2308.05221
| 8 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-11
|
|
2308.05732
|
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
|
https://huggingface.co/papers/2308.05732
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-11
|
|
2308.06125
|
Improving Joint Speech-Text Representations Without Alignment
|
https://huggingface.co/papers/2308.06125
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-14
|
|
2308.06261
|
https://github.com/microsoft/nemoeval
|
Enhancing Network Management Using Code Generated by Large Language Models
|
https://huggingface.co/papers/2308.06261
| 4 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-14
|
2308.05960
|
https://github.com/salesforce/bolaa
|
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
|
https://huggingface.co/papers/2308.05960
| 18 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-14
|
2308.05884
|
PIPPA: A Partially Synthetic Conversational Dataset
|
https://huggingface.co/papers/2308.05884
| 28 | 2 | 0 | 1 | 4 | 0 | null | 0 |
2023-08-14
|
|
2308.06259
|
Self-Alignment with Instruction Backtranslation
|
https://huggingface.co/papers/2308.06259
| 39 | 2 | 0 | 17 | 5 | 5 | null | 0 |
2023-08-14
|
|
2308.06103
|
Composable Function-preserving Expansions for Transformer Architectures
|
https://huggingface.co/papers/2308.06103
| 18 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-14
|
|
2308.07124
|
https://github.com/bigcode-project/octopack
|
OctoPack: Instruction Tuning Code Large Language Models
|
https://huggingface.co/papers/2308.07124
| 28 | 1 | 1 | 6 | 6 | 9 | null | 0 |
2023-08-15
|
2308.06873
|
SpeechX: Neural Codec Language Model as a Versatile Speech Transformer
|
https://huggingface.co/papers/2308.06873
| 25 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-15
|
|
2308.07317
|
https://github.com/arielnlee/Platypus
|
Platypus: Quick, Cheap, and Powerful Refinement of LLMs
|
https://huggingface.co/papers/2308.07317
| 23 | 4 | 1 | 51 | 4 | 74 | null | 0 |
2023-08-15
|
2308.06912
|
https://github.com/google-research/causallm_icl
|
CausalLM is not optimal for in-context learning
|
https://huggingface.co/papers/2308.06912
| 18 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-15
|
2308.06721
|
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
|
https://huggingface.co/papers/2308.06721
| 26 | 2 | 0 | 9 | 1 | 100 | null | 0 |
2023-08-15
|
|
2308.07228
|
https://github.com/wzhouxiff/restoreformerplusplus
|
RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs
|
https://huggingface.co/papers/2308.07228
| 9 | 0 | 1 | 0 | 0 | 2 | null | 0 |
2023-08-15
|
2308.07316
|
https://github.com/alexmartin1722/Revive-2I
|
Jurassic World Remake: Bringing Ancient Fossils Back to Life via Zero-Shot Long Image-to-Image Translation
|
https://huggingface.co/papers/2308.07316
| 6 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2023-08-15
|
2308.07286
|
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
|
https://huggingface.co/papers/2308.07286
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-15
|
|
2308.06595
|
https://github.com/mlfoundations/VisIT-Bench
|
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use
|
https://huggingface.co/papers/2308.06595
| 5 | 1 | 1 | 0 | 1 | 0 | null | 0 |
2023-08-15
|
2308.07795
|
https://github.com/ai-initiative-kaust/videorlcs
|
Learning to Identify Critical States for Reinforcement Learning from Videos
|
https://huggingface.co/papers/2308.07795
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-16
|
2308.07395
|
Text Injection for Capitalization and Turn-Taking Prediction in Speech Models
|
https://huggingface.co/papers/2308.07395
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-16
|
|
2308.07903
|
Relightable and Animatable Neural Avatar from Sparse-View Video
|
https://huggingface.co/papers/2308.07903
| 9 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-16
|
|
2308.07922
|
https://github.com/jeffhj/raven
|
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models
|
https://huggingface.co/papers/2308.07922
| 16 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2023-08-16
|
2308.07926
|
https://github.com/qiuyu96/codef
|
CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
|
https://huggingface.co/papers/2308.07926
| 27 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-16
|
2308.07921
|
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
|
https://huggingface.co/papers/2308.07921
| 21 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-16
|
|
2308.07891
|
https://github.com/isekai-portal/Link-Context-Learning
|
Link-Context Learning for Multimodal LLMs
|
https://huggingface.co/papers/2308.07891
| 14 | 1 | 1 | 2 | 2 | 0 | null | 0 |
2023-08-16
|
2308.08545
|
https://github.com/huangyangyi/tech
|
TeCH: Text-guided Reconstruction of Lifelike Clothed Humans
|
https://huggingface.co/papers/2308.08545
| 31 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-17
|
2308.08316
|
Dual-Stream Diffusion Net for Text-to-Video Generation
|
https://huggingface.co/papers/2308.08316
| 23 | 3 | 0 | 0 | 0 | 10 | null | 0 |
2023-08-17
|
|
2308.07968
|
Teach LLMs to Personalize -- An Approach inspired by Writing Education
|
https://huggingface.co/papers/2308.07968
| 24 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-17
|
|
2308.08089
|
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
|
https://huggingface.co/papers/2308.08089
| 21 | 0 | 0 | 1 | 0 | 1 | null | 0 |
2023-08-17
|
|
2308.07931
|
https://github.com/f3rm/f3rm
|
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
|
https://huggingface.co/papers/2308.07931
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-17
|
2308.08258
|
SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes
|
https://huggingface.co/papers/2308.08258
| 4 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-08-17
|
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