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values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
2305.08809
|
https://github.com/stanfordnlp/pyvene
|
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
|
https://huggingface.co/papers/2305.08809
| 2 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-16
|
2305.08675
|
https://github.com/facebookresearch/clip-rocket
|
Improved baselines for vision-language pre-training
|
https://huggingface.co/papers/2305.08675
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-16
|
2305.07922
|
https://github.com/salesforce/codet5
|
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
|
https://huggingface.co/papers/2305.07922
| 4 | 2 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-16
|
2305.07961
|
Leveraging Large Language Models in Conversational Recommender Systems
|
https://huggingface.co/papers/2305.07961
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-16
|
|
2305.08810
|
AutoRecon: Automated 3D Object Discovery and Reconstruction
|
https://huggingface.co/papers/2305.08810
| 2 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-16
|
|
2305.08596
|
DarkBERT: A Language Model for the Dark Side of the Internet
|
https://huggingface.co/papers/2305.08596
| 8 | 11 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-16
|
|
2305.07759
|
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
|
https://huggingface.co/papers/2305.07759
| 31 | 7 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-16
|
|
2305.08677
|
Natural Language Decomposition and Interpretation of Complex Utterances
|
https://huggingface.co/papers/2305.08677
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-16
|
|
2305.09148
|
https://github.com/chillingdream/dap
|
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
|
https://huggingface.co/papers/2305.09148
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-17
|
2305.09662
|
Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
|
https://huggingface.co/papers/2305.09662
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-17
|
|
2305.09515
|
https://github.com/microsoft/ProphetNet
|
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
|
https://huggingface.co/papers/2305.09515
| 2 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-17
|
2305.09664
|
https://github.com/JasonQSY/3DOI
|
Understanding 3D Object Interaction from a Single Image
|
https://huggingface.co/papers/2305.09664
| 1 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-17
|
2305.09253
|
https://github.com/drimpossible/acm
|
Online Continual Learning Without the Storage Constraint
|
https://huggingface.co/papers/2305.09253
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-17
|
2305.08891
|
Common Diffusion Noise Schedules and Sample Steps are Flawed
|
https://huggingface.co/papers/2305.08891
| 7 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-17
|
|
2305.09636
|
SoundStorm: Efficient Parallel Audio Generation
|
https://huggingface.co/papers/2305.09636
| 3 | 6 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-17
|
|
2305.09137
|
https://github.com/thu-coai/picl
|
Pre-Training to Learn in Context
|
https://huggingface.co/papers/2305.09137
| 2 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-17
|
2305.09617
|
Towards Expert-Level Medical Question Answering with Large Language Models
|
https://huggingface.co/papers/2305.09617
| 5 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-17
|
|
2305.09641
|
FitMe: Deep Photorealistic 3D Morphable Model Avatars
|
https://huggingface.co/papers/2305.09641
| 3 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-17
|
|
2305.10431
|
https://github.com/mit-han-lab/fastcomposer
|
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
|
https://huggingface.co/papers/2305.10431
| 2 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
2305.10400
|
https://github.com/yonatanbitton/wysiwyr
|
What You See is What You Read? Improving Text-Image Alignment Evaluation
|
https://huggingface.co/papers/2305.10400
| 2 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
2305.09758
|
A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot
|
https://huggingface.co/papers/2305.09758
| 1 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
|
2305.09764
|
Application-Agnostic Language Modeling for On-Device ASR
|
https://huggingface.co/papers/2305.09764
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
|
2305.10005
|
https://github.com/alexander-h-liu/dinosr
|
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning
|
https://huggingface.co/papers/2305.10005
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
2305.10266
|
Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM's Translation Capability
|
https://huggingface.co/papers/2305.10266
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
|
2305.10429
|
https://github.com/sangmichaelxie/doremi
|
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
|
https://huggingface.co/papers/2305.10429
| 3 | 2 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
2305.10142
|
https://github.com/franxyao/gpt-bargaining
|
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback
|
https://huggingface.co/papers/2305.10142
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
2305.10320
|
CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo
|
https://huggingface.co/papers/2305.10320
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
|
2305.09761
|
https://github.com/javieryu/nerf_bridge
|
NerfBridge: Bringing Real-time, Online Neural Radiance Field Training to Robotics
|
https://huggingface.co/papers/2305.09761
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
2305.09975
|
https://github.com/microsoft/SmartWordSuggestions
|
Smart Word Suggestions for Writing Assistance
|
https://huggingface.co/papers/2305.09975
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
2305.10403
|
PaLM 2 Technical Report
|
https://huggingface.co/papers/2305.10403
| 5 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
|
2305.09863
|
https://github.com/microsoft/automated-explanations
|
Explaining black box text modules in natural language with language models
|
https://huggingface.co/papers/2305.09863
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
2305.10425
|
SLiC-HF: Sequence Likelihood Calibration with Human Feedback
|
https://huggingface.co/papers/2305.10425
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
|
2305.09857
|
https://github.com/vipulraheja/coedit
|
CoEdIT: Text Editing by Task-Specific Instruction Tuning
|
https://huggingface.co/papers/2305.09857
| 6 | 3 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
2305.10018
|
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers
|
https://huggingface.co/papers/2305.10018
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-18
|
|
2305.10688
|
MolXPT: Wrapping Molecules with Text for Generative Pre-training
|
https://huggingface.co/papers/2305.10688
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
|
2305.11147
|
https://github.com/salesforce/unicontrol
|
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
|
https://huggingface.co/papers/2305.11147
| 3 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
2305.10874
|
VideoFactory: Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
|
https://huggingface.co/papers/2305.10874
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
|
2305.10474
|
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
|
https://huggingface.co/papers/2305.10474
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
|
2305.10841
|
https://github.com/microsoft/muzic
|
GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework
|
https://huggingface.co/papers/2305.10841
| 2 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
2305.10722
|
https://github.com/eric-ai-lab/dsd
|
Discriminative Diffusion Models as Few-shot Vision and Language Learners
|
https://huggingface.co/papers/2305.10722
| 3 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
2305.11175
|
https://github.com/opengvlab/interngpt
|
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
|
https://huggingface.co/papers/2305.11175
| 3 | 5 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
2305.10853
|
LDM3D: Latent Diffusion Model for 3D
|
https://huggingface.co/papers/2305.10853
| 10 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
|
2305.10912
|
A Generalist Dynamics Model for Control
|
https://huggingface.co/papers/2305.10912
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
|
2305.10434
|
Learning the Visualness of Text Using Large Vision-Language Models
|
https://huggingface.co/papers/2305.10434
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
|
2305.11000
|
https://github.com/0nutation/speechgpt
|
SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
|
https://huggingface.co/papers/2305.11000
| 4 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
2305.11129
|
https://github.com/google-research/longt5
|
mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences
|
https://huggingface.co/papers/2305.11129
| 2 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
2305.10764
|
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
|
https://huggingface.co/papers/2305.10764
| 6 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
|
2305.10763
|
CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-training
|
https://huggingface.co/papers/2305.10763
| 3 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
|
2305.11171
|
https://github.com/google-research/google-research/tree/master/true_teacher
|
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models
|
https://huggingface.co/papers/2305.11171
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
2305.10973
|
https://github.com/XingangPan/DragGAN
|
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
|
https://huggingface.co/papers/2305.10973
| 30 | 74 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
2305.10601
|
https://github.com/ysymyth/tree-of-thought-llm
|
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
|
https://huggingface.co/papers/2305.10601
| 10 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
2305.10855
|
TextDiffuser: Diffusion Models as Text Painters
|
https://huggingface.co/papers/2305.10855
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
|
2305.11173
|
https://github.com/facebookresearch/vlpart
|
Going Denser with Open-Vocabulary Part Segmentation
|
https://huggingface.co/papers/2305.11173
| 2 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-19
|
2305.11337
|
RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture
|
https://huggingface.co/papers/2305.11337
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
|
2305.11675
|
Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
|
https://huggingface.co/papers/2305.11675
| 1 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
|
2305.11846
|
https://github.com/microsoft/i-Code/tree/main/i-Code-V3
|
Any-to-Any Generation via Composable Diffusion
|
https://huggingface.co/papers/2305.11846
| 4 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
2305.11837
|
Comparing Software Developers with ChatGPT: An Empirical Investigation
|
https://huggingface.co/papers/2305.11837
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
|
2305.11243
|
Comparing Machines and Children: Using Developmental Psychology Experiments to Assess the Strengths and Weaknesses of LaMDA Responses
|
https://huggingface.co/papers/2305.11243
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
|
2305.11308
|
Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations
|
https://huggingface.co/papers/2305.11308
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
|
2305.11364
|
https://github.com/pair-code/interpretability
|
Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models
|
https://huggingface.co/papers/2305.11364
| 2 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
2305.11541
|
https://github.com/keanudicap/MSQA
|
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
|
https://huggingface.co/papers/2305.11541
| 1 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
2305.11598
|
Introspective Tips: Large Language Model for In-Context Decision Making
|
https://huggingface.co/papers/2305.11598
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
|
2305.11738
|
https://github.com/microsoft/ProphetNet
|
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
|
https://huggingface.co/papers/2305.11738
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
2305.11759
|
https://github.com/amazon-science/controlling-llm-memorization
|
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
|
https://huggingface.co/papers/2305.11759
| 1 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
2305.11778
|
Cross-Lingual Supervision improves Large Language Models Pre-training
|
https://huggingface.co/papers/2305.11778
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
|
2305.11840
|
https://github.com/google-research-datasets/seegull
|
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models
|
https://huggingface.co/papers/2305.11840
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
2305.11863
|
https://github.com/huthlab/encoding-model-scaling-laws
|
Scaling laws for language encoding models in fMRI
|
https://huggingface.co/papers/2305.11863
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
2305.11834
|
https://github.com/microsoft/pengi
|
Pengi: An Audio Language Model for Audio Tasks
|
https://huggingface.co/papers/2305.11834
| 2 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
2305.11841
|
How Does Generative Retrieval Scale to Millions of Passages?
|
https://huggingface.co/papers/2305.11841
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
|
2305.11694
|
https://github.com/google-research/language
|
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations
|
https://huggingface.co/papers/2305.11694
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
2305.11588
|
https://github.com/eckertzhang/text2nerf
|
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
|
https://huggingface.co/papers/2305.11588
| 3 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
2305.11854
|
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
|
https://huggingface.co/papers/2305.11854
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
|
2305.11870
|
https://github.com/snuvclab/chupa
|
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models
|
https://huggingface.co/papers/2305.11870
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
2305.11206
|
LIMA: Less Is More for Alignment
|
https://huggingface.co/papers/2305.11206
| 20 | 9 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-22
|
|
2305.13304
|
https://github.com/aiwaves-cn/recurrentgpt
|
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text
|
https://huggingface.co/papers/2305.13304
| 1 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-23
|
2305.11938
|
https://github.com/google-research/xtreme-up
|
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
|
https://huggingface.co/papers/2305.11938
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-23
|
2305.12001
|
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models
|
https://huggingface.co/papers/2305.12001
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-23
|
|
2305.12050
|
CodeCompose: A Large-Scale Industrial Deployment of AI-assisted Code Authoring
|
https://huggingface.co/papers/2305.12050
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-23
|
|
2305.13301
|
https://github.com/kvablack/ddpo-pytorch
|
Training Diffusion Models with Reinforcement Learning
|
https://huggingface.co/papers/2305.13301
| 3 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-23
|
2305.13009
|
https://github.com/slp-rl/spokenstorycloze
|
Textually Pretrained Speech Language Models
|
https://huggingface.co/papers/2305.13009
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-23
|
2305.13050
|
https://github.com/guyyariv/AudioToken
|
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation
|
https://huggingface.co/papers/2305.13050
| 3 | 2 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-23
|
2305.13048
|
https://github.com/BlinkDL/RWKV-LM
|
RWKV: Reinventing RNNs for the Transformer Era
|
https://huggingface.co/papers/2305.13048
| 11 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-23
|
2305.13077
|
https://github.com/ybybzhang/controlvideo
|
ControlVideo: Training-free Controllable Text-to-Video Generation
|
https://huggingface.co/papers/2305.13077
| 6 | 3 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-23
|
2305.12487
|
Augmenting Autotelic Agents with Large Language Models
|
https://huggingface.co/papers/2305.12487
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-23
|
|
2305.13735
|
https://github.com/naver-ai/almost
|
Aligning Large Language Models through Synthetic Feedback
|
https://huggingface.co/papers/2305.13735
| 1 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-24
|
2305.13534
|
https://github.com/nanami18/snowballed_hallucination
|
How Language Model Hallucinations Can Snowball
|
https://huggingface.co/papers/2305.13534
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-24
|
2305.13786
|
https://github.com/deepmind/perception_test
|
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
|
https://huggingface.co/papers/2305.13786
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-24
|
2305.14233
|
https://github.com/thunlp/ultrachat
|
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
|
https://huggingface.co/papers/2305.14233
| 6 | 4 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-24
|
2305.13840
|
https://github.com/weifeng-chen/control-a-video
|
Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models
|
https://huggingface.co/papers/2305.13840
| 4 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-24
|
2305.14314
|
https://github.com/artidoro/qlora
|
QLoRA: Efficient Finetuning of Quantized LLMs
|
https://huggingface.co/papers/2305.14314
| 44 | 7 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-24
|
2305.14201
|
https://github.com/liutiedong/goat
|
Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks
|
https://huggingface.co/papers/2305.14201
| 4 | 5 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-24
|
2305.13579
|
https://github.com/drboog/profusion
|
Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach
|
https://huggingface.co/papers/2305.13579
| 2 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-05-24
|
2305.15038
|
https://github.com/damo-nlp-sg/gpt4-as-dataanalyst
|
Is GPT-4 a Good Data Analyst?
|
https://huggingface.co/papers/2305.15038
| 4 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-25
|
2305.14878
|
Leveraging GPT-4 for Automatic Translation Post-Editing
|
https://huggingface.co/papers/2305.14878
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-25
|
|
2305.14564
|
https://github.com/simengsun/pearl
|
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents
|
https://huggingface.co/papers/2305.14564
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-25
|
2305.14540
|
https://github.com/salesforce/factualnlg
|
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond
|
https://huggingface.co/papers/2305.14540
| 2 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-25
|
2305.15486
|
SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning
|
https://huggingface.co/papers/2305.15486
| 1 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-26
|
|
2305.15717
|
The False Promise of Imitating Proprietary LLMs
|
https://huggingface.co/papers/2305.15717
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-26
|
|
2305.15581
|
https://github.com/ubc-vision/LDM_correspondences
|
Unsupervised Semantic Correspondence Using Stable Diffusion
|
https://huggingface.co/papers/2305.15581
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-26
|
2305.15586
|
Manifold Diffusion Fields
|
https://huggingface.co/papers/2305.15586
| 2 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-05-26
|
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