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|---|---|---|---|---|---|---|---|---|---|---|---|---|
2305.15779
|
Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models
|
https://huggingface.co/papers/2305.15779
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-26
|
|
2305.15798
|
On Architectural Compression of Text-to-Image Diffusion Models
|
https://huggingface.co/papers/2305.15798
| 3 | 1 | 0 | 23 | 0 | 32 | null | 0 |
2023-05-26
|
|
2305.16291
|
https://github.com/MineDojo/Voyager
|
Voyager: An Open-Ended Embodied Agent with Large Language Models
|
https://huggingface.co/papers/2305.16291
| 9 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-26
|
2305.16213
|
https://github.com/threestudio-project/threestudio
|
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
|
https://huggingface.co/papers/2305.16213
| 9 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-26
|
2305.15719
|
Efficient Neural Music Generation
|
https://huggingface.co/papers/2305.15719
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-26
|
|
2305.16349
|
Lexinvariant Language Models
|
https://huggingface.co/papers/2305.16349
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
|
2305.16635
|
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
|
https://huggingface.co/papers/2305.16635
| 1 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
|
2305.16367
|
Role-Play with Large Language Models
|
https://huggingface.co/papers/2305.16367
| 3 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
|
2305.17066
|
Mindstorms in Natural Language-Based Societies of Mind
|
https://huggingface.co/papers/2305.17066
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
|
2305.16806
|
https://github.com/vyraun/literalness
|
Do GPTs Produce Less Literal Translations?
|
https://huggingface.co/papers/2305.16806
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
2305.16381
|
https://github.com/google-research/google-research/tree/master/dpok
|
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
|
https://huggingface.co/papers/2305.16381
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
2305.17126
|
https://github.com/ctlllll/llm-toolmaker
|
Large Language Models as Tool Makers
|
https://huggingface.co/papers/2305.17126
| 2 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
2305.16867
|
Playing repeated games with Large Language Models
|
https://huggingface.co/papers/2305.16867
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
|
2305.16411
|
ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image
|
https://huggingface.co/papers/2305.16411
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
|
2305.16958
|
https://github.com/bloomberg/mixce-acl2023
|
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
|
https://huggingface.co/papers/2305.16958
| 1 | 0 | 1 | 1 | 0 | 0 | null | 0 |
2023-05-29
|
2305.16311
|
https://github.com/google/break-a-scene
|
Break-A-Scene: Extracting Multiple Concepts from a Single Image
|
https://huggingface.co/papers/2305.16311
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
2305.16999
|
https://github.com/google-research/big_vision
|
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
|
https://huggingface.co/papers/2305.16999
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
2305.16960
|
Training Socially Aligned Language Models in Simulated Human Society
|
https://huggingface.co/papers/2305.16960
| 2 | 0 | 0 | 3 | 0 | 0 | null | 0 |
2023-05-29
|
|
2305.16338
|
Think Before You Act: Decision Transformers with Internal Working Memory
|
https://huggingface.co/papers/2305.16338
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
|
2305.17098
|
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing
|
https://huggingface.co/papers/2305.17098
| 3 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
|
2305.16334
|
OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities
|
https://huggingface.co/papers/2305.16334
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
|
2305.16355
|
PandaGPT: One Model To Instruction-Follow Them All
|
https://huggingface.co/papers/2305.16355
| 3 | 0 | 0 | 1 | 0 | 2 | null | 0 |
2023-05-29
|
|
2305.16843
|
https://github.com/deepmind/randomized_positional_encodings
|
Randomized Positional Encodings Boost Length Generalization of Transformers
|
https://huggingface.co/papers/2305.16843
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
2305.16704
|
https://github.com/facebookresearch/iclmlp
|
A Closer Look at In-Context Learning under Distribution Shifts
|
https://huggingface.co/papers/2305.16704
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
2305.16380
|
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
|
https://huggingface.co/papers/2305.16380
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-29
|
|
2305.16765
|
Backpack Language Models
|
https://huggingface.co/papers/2305.16765
| 2 | 1 | 0 | 2 | 0 | 2 | null | 0 |
2023-05-29
|
|
2305.18292
|
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
|
https://huggingface.co/papers/2305.18292
| 5 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
|
2305.17359
|
https://github.com/xianjun-yang/dna-gpt
|
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
|
https://huggingface.co/papers/2305.17359
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
2305.17493
|
Model Dementia: Generated Data Makes Models Forget
|
https://huggingface.co/papers/2305.17493
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
|
2305.18098
|
BigTrans: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages
|
https://huggingface.co/papers/2305.18098
| 4 | 2 | 0 | 6 | 0 | 2 | null | 0 |
2023-05-30
|
|
2305.18259
|
https://github.com/aigtext/glyphcontrol-release
|
GlyphControl: Glyph Conditional Control for Visual Text Generation
|
https://huggingface.co/papers/2305.18259
| 2 | 1 | 1 | 0 | 0 | 1 | null | 0 |
2023-05-30
|
2305.18286
|
Photoswap: Personalized Subject Swapping in Images
|
https://huggingface.co/papers/2305.18286
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
|
2305.18231
|
High-Fidelity Image Compression with Score-based Generative Models
|
https://huggingface.co/papers/2305.18231
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
|
2305.17390
|
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
|
https://huggingface.co/papers/2305.17390
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
|
2305.18264
|
https://github.com/g-u-n/gen-l-video
|
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising
|
https://huggingface.co/papers/2305.18264
| 3 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
2305.17333
|
https://github.com/princeton-nlp/mezo
|
Fine-Tuning Language Models with Just Forward Passes
|
https://huggingface.co/papers/2305.17333
| 2 | 2 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
2305.17306
|
https://github.com/franxyao/chain-of-thought-hub
|
Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
|
https://huggingface.co/papers/2305.17306
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
2305.17144
|
Ghost in the Minecraft: Generally Capable Agents for Open-World Enviroments via Large Language Models with Text-based Knowledge and Memory
|
https://huggingface.co/papers/2305.17144
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
|
2305.18274
|
https://github.com/medarc-ai/fmri-reconstruction-nsd
|
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
|
https://huggingface.co/papers/2305.18274
| 4 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
2305.18295
|
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
|
https://huggingface.co/papers/2305.18295
| 7 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
|
2305.17216
|
https://github.com/kohjingyu/gill
|
Generating Images with Multimodal Language Models
|
https://huggingface.co/papers/2305.17216
| 7 | 2 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
2305.18247
|
https://github.com/videocrafter/talecrafter
|
TaleCrafter: Interactive Story Visualization with Multiple Characters
|
https://huggingface.co/papers/2305.18247
| 4 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-30
|
2305.18365
|
What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks
|
https://huggingface.co/papers/2305.18365
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
|
2305.18583
|
Controllable Text-to-Image Generation with GPT-4
|
https://huggingface.co/papers/2305.18583
| 3 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
|
2305.18729
|
https://github.com/dvlab-research/rival
|
Real-World Image Variation by Aligning Diffusion Inversion Chain
|
https://huggingface.co/papers/2305.18729
| 4 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
2305.19066
|
https://github.com/noamelata/nesteddiffusion
|
Nested Diffusion Processes for Anytime Image Generation
|
https://huggingface.co/papers/2305.19066
| 1 | 0 | 1 | 0 | 0 | 1 | null | 0 |
2023-05-31
|
2305.18474
|
Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation
|
https://huggingface.co/papers/2305.18474
| 2 | 0 | 0 | 2 | 0 | 0 | null | 0 |
2023-05-31
|
|
2305.18766
|
HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance
|
https://huggingface.co/papers/2305.18766
| 5 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
|
2305.18373
|
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models
|
https://huggingface.co/papers/2305.18373
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
|
2305.18654
|
https://github.com/nouhadziri/faith-and-fate
|
Faith and Fate: Limits of Transformers on Compositionality
|
https://huggingface.co/papers/2305.18654
| 4 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
2305.19234
|
https://github.com/berlino/grammar-prompting
|
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
|
https://huggingface.co/papers/2305.19234
| 3 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
2305.18415
|
https://github.com/sukjulian/lab-gatr
|
Geometric Algebra Transformers
|
https://huggingface.co/papers/2305.18415
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
2305.19245
|
AlteredAvatar: Stylizing Dynamic 3D Avatars with Fast Style Adaptation
|
https://huggingface.co/papers/2305.19245
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
|
2305.18802
|
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus
|
https://huggingface.co/papers/2305.18802
| 2 | 0 | 0 | 0 | 3 | 1 | null | 0 |
2023-05-31
|
|
2305.18752
|
https://github.com/stevengrove/gpt4tools
|
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
|
https://huggingface.co/papers/2305.18752
| 3 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
2305.19012
|
https://github.com/icoz69/styleavatar3d
|
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
|
https://huggingface.co/papers/2305.19012
| 4 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
2305.19164
|
https://github.com/virajprabhu/lance
|
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
|
https://huggingface.co/papers/2305.19164
| 2 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
2305.18565
|
PaLI-X: On Scaling up a Multilingual Vision and Language Model
|
https://huggingface.co/papers/2305.18565
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-31
|
|
2305.19472
|
https://github.com/allenai/plasma
|
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning
|
https://huggingface.co/papers/2305.19472
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-01
|
2305.20082
|
Control4D: Dynamic Portrait Editing by Learning 4D GAN from 2D Diffusion-based Editor
|
https://huggingface.co/papers/2305.20082
| 2 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-01
|
|
2305.20086
|
https://github.com/somepago/dcr
|
Understanding and Mitigating Copying in Diffusion Models
|
https://huggingface.co/papers/2305.20086
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-01
|
2305.19370
|
Blockwise Parallel Transformer for Long Context Large Models
|
https://huggingface.co/papers/2305.19370
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-01
|
|
2305.19835
|
Deliberate then Generate: Enhanced Prompting Framework for Text Generation
|
https://huggingface.co/papers/2305.19835
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-01
|
|
2305.20010
|
Human or Not? A Gamified Approach to the Turing Test
|
https://huggingface.co/papers/2305.20010
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-01
|
|
2305.20088
|
https://github.com/lijiefan/laclip
|
Improving CLIP Training with Language Rewrites
|
https://huggingface.co/papers/2305.20088
| 2 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-01
|
2305.19452
|
https://github.com/google-research/google-research/tree/master/bigger_better_faster
|
Bigger, Better, Faster: Human-level Atari with human-level efficiency
|
https://huggingface.co/papers/2305.19452
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-01
|
2305.20091
|
https://github.com/shubham-goel/4D-Humans
|
Humans in 4D: Reconstructing and Tracking Humans with Transformers
|
https://huggingface.co/papers/2305.20091
| 1 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-06-01
|
2305.20081
|
https://github.com/sail-sg/edp
|
Efficient Diffusion Policies for Offline Reinforcement Learning
|
https://huggingface.co/papers/2305.20081
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-01
|
2305.20030
|
https://github.com/YuxinWenRick/tree-ring-watermark
|
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
|
https://huggingface.co/papers/2305.20030
| 7 | 2 | 0 | 0 | 0 | 1 | null | 0 |
2023-06-01
|
2306.00622
|
ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing
|
https://huggingface.co/papers/2306.00622
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
|
2306.00964
|
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation
|
https://huggingface.co/papers/2306.00964
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
|
2306.00986
|
Diffusion Self-Guidance for Controllable Image Generation
|
https://huggingface.co/papers/2306.00986
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
|
2306.00110
|
https://github.com/microsoft/muzic
|
MuseCoco: Generating Symbolic Music from Text
|
https://huggingface.co/papers/2306.00110
| 2 | 0 | 0 | 1 | 0 | 0 | null | 0 |
2023-06-02
|
2306.00029
|
https://github.com/salesforce/codetf
|
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
|
https://huggingface.co/papers/2306.00029
| 2 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
2306.00107
|
https://github.com/yizhilll/mert
|
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
|
https://huggingface.co/papers/2306.00107
| 2 | 0 | 1 | 4 | 0 | 13 | null | 0 |
2023-06-02
|
2306.00802
|
Birth of a Transformer: A Memory Viewpoint
|
https://huggingface.co/papers/2306.00802
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
|
2306.00008
|
Brainformers: Trading Simplicity for Efficiency
|
https://huggingface.co/papers/2306.00008
| 1 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
|
2306.00148
|
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models
|
https://huggingface.co/papers/2306.00148
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
|
2306.00926
|
https://github.com/ygtxr1997/celebbasis
|
Inserting Anybody in Diffusion Models via Celeb Basis
|
https://huggingface.co/papers/2306.00926
| 3 | 3 | 1 | 1 | 0 | 0 | null | 0 |
2023-06-02
|
2306.00943
|
Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance
|
https://huggingface.co/papers/2306.00943
| 5 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
|
2306.00971
|
ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation
|
https://huggingface.co/papers/2306.00971
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
|
2306.00984
|
https://github.com/google-research/syn-rep-learn
|
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
|
https://huggingface.co/papers/2306.00984
| 3 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
2306.00966
|
https://github.com/hila-chefer/Conceptor
|
The Hidden Language of Diffusion Models
|
https://huggingface.co/papers/2306.00966
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
2306.00637
|
Wuerstchen: Efficient Pretraining of Text-to-Image Models
|
https://huggingface.co/papers/2306.00637
| 12 | 6 | 0 | 5 | 0 | 33 | null | 0 |
2023-06-02
|
|
2306.00890
|
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
|
https://huggingface.co/papers/2306.00890
| 10 | 1 | 0 | 11 | 0 | 7 | null | 0 |
2023-06-02
|
|
2306.00983
|
StyleDrop: Text-to-Image Generation in Any Style
|
https://huggingface.co/papers/2306.00983
| 6 | 3 | 0 | 2 | 0 | 5 | null | 0 |
2023-06-02
|
|
2306.00980
|
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
|
https://huggingface.co/papers/2306.00980
| 14 | 13 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
|
2306.00238
|
https://github.com/apple/ml-cvnets
|
Bytes Are All You Need: Transformers Operating Directly On File Bytes
|
https://huggingface.co/papers/2306.00238
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
2306.00378
|
https://github.com/wyysf-98/GenMM
|
Example-based Motion Synthesis via Generative Motion Matching
|
https://huggingface.co/papers/2306.00378
| 6 | 2 | 1 | 0 | 0 | 1 | null | 0 |
2023-06-02
|
2306.00739
|
SQL-PaLM: Improved Large Language ModelAdaptation for Text-to-SQL
|
https://huggingface.co/papers/2306.00739
| 16 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
|
2306.00956
|
The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects
|
https://huggingface.co/papers/2306.00956
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-02
|
|
2306.01337
|
An Empirical Study on Challenging Math Problem Solving with GPT-4
|
https://huggingface.co/papers/2306.01337
| 1 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-05
|
|
2306.01061
|
Reimagining Retrieval Augmented Language Models for Answering Queries
|
https://huggingface.co/papers/2306.01061
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-05
|
|
2306.01160
|
https://github.com/epfml/dynamic-sparse-flash-attention
|
Faster Causal Attention Over Large Sequences Through Sparse Flash Attention
|
https://huggingface.co/papers/2306.01160
| 1 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-05
|
2306.01242
|
Responsible Task Automation: Empowering Large Language Models as Responsible Task Automators
|
https://huggingface.co/papers/2306.01242
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-05
|
|
2306.01736
|
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
|
https://huggingface.co/papers/2306.01736
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-05
|
|
2306.01694
|
https://github.com/collinskatie/checkmate
|
Evaluating Language Models for Mathematics through Interactions
|
https://huggingface.co/papers/2306.01694
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-05
|
2306.01693
|
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
|
https://huggingface.co/papers/2306.01693
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-06-05
|
|
2306.01567
|
https://github.com/syscv/sam-hq
|
Segment Anything in High Quality
|
https://huggingface.co/papers/2306.01567
| 7 | 2 | 1 | 3 | 0 | 1 | null | 0 |
2023-06-05
|
2306.01116
|
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
|
https://huggingface.co/papers/2306.01116
| 30 | 3 | 0 | 77 | 13 | 100 | null | 0 |
2023-06-05
|
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