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|---|---|---|---|---|---|---|---|---|---|---|---|---|
2311.04257
|
https://github.com/X-PLUG/mPLUG-Owl/tree/main/mPLUG-Owl2
|
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
|
https://huggingface.co/papers/2311.04257
| 20 | 2 | 0 | 1 | 0 | 3 | null | 0 |
2023-11-09
|
2311.04287
|
https://github.com/stanford-crfm/helm
|
Holistic Evaluation of Text-To-Image Models
|
https://huggingface.co/papers/2311.04287
| 11 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-09
|
2311.04498
|
https://github.com/next-chatv/next-chat
|
NExT-Chat: An LMM for Chat, Detection and Segmentation
|
https://huggingface.co/papers/2311.04498
| 9 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-11-09
|
2311.04589
|
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
|
https://huggingface.co/papers/2311.04589
| 17 | 5 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-09
|
|
2311.04254
|
https://github.com/microsoft/everything-of-thoughts-xot-
|
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
|
https://huggingface.co/papers/2311.04254
| 12 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-09
|
2311.05348
|
https://github.com/OPPOMKLab/u-LLaVA
|
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model
|
https://huggingface.co/papers/2311.05348
| 10 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2023-11-10
|
2311.05332
|
https://github.com/pjlab-adg/gpt4v-ad-exploration
|
On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving
|
https://huggingface.co/papers/2311.05332
| 7 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-10
|
2311.04931
|
https://github.com/nomic-ai/gpt4all
|
GPT4All: An Ecosystem of Open Source Compressed Language Models
|
https://huggingface.co/papers/2311.04931
| 20 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-10
|
2311.05437
|
https://github.com/LLaVA-VL/LLaVA-Plus-Codebase
|
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
|
https://huggingface.co/papers/2311.05437
| 40 | 4 | 1 | 4 | 0 | 0 | null | 0 |
2023-11-10
|
2311.05556
|
https://github.com/luosiallen/latent-consistency-model
|
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
|
https://huggingface.co/papers/2311.05556
| 78 | 5 | 1 | 6 | 0 | 100 | null | 0 |
2023-11-10
|
2311.04934
|
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
|
https://huggingface.co/papers/2311.04934
| 25 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-10
|
|
2311.05661
|
Prompt Engineering a Prompt Engineer
|
https://huggingface.co/papers/2311.05661
| 19 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-13
|
|
2311.05707
|
FMViT: A multiple-frequency mixing Vision Transformer
|
https://huggingface.co/papers/2311.05707
| 5 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-13
|
|
2311.05884
|
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
|
https://huggingface.co/papers/2311.05884
| 5 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-13
|
|
2311.06158
|
Language Models can be Logical Solvers
|
https://huggingface.co/papers/2311.06158
| 17 | 2 | 0 | 6 | 1 | 0 | null | 0 |
2023-11-13
|
|
2311.05640
|
FinGPT: Large Generative Models for a Small Language
|
https://huggingface.co/papers/2311.05640
| 26 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-13
|
|
2311.05772
|
ADaPT: As-Needed Decomposition and Planning with Language Models
|
https://huggingface.co/papers/2311.05772
| 8 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-13
|
|
2311.05698
|
Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities
|
https://huggingface.co/papers/2311.05698
| 7 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-13
|
|
2311.06214
|
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model
|
https://huggingface.co/papers/2311.06214
| 28 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-13
|
|
2311.05770
|
https://github.com/google-research/deeplab2
|
PolyMaX: General Dense Prediction with Mask Transformer
|
https://huggingface.co/papers/2311.05770
| 6 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-13
|
2311.06242
|
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
|
https://huggingface.co/papers/2311.06242
| 70 | 6 | 0 | 21 | 0 | 47 | null | 0 |
2023-11-13
|
|
2311.05657
|
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs
|
https://huggingface.co/papers/2311.05657
| 26 | 2 | 0 | 22 | 14 | 0 | null | 0 |
2023-11-13
|
|
2311.05997
|
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models
|
https://huggingface.co/papers/2311.05997
| 34 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-13
|
|
2311.06243
|
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
|
https://huggingface.co/papers/2311.06243
| 17 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-13
|
|
2311.05908
|
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
|
https://huggingface.co/papers/2311.05908
| 12 | 1 | 0 | 2 | 0 | 9 | null | 0 |
2023-11-13
|
|
2311.07361
|
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4
|
https://huggingface.co/papers/2311.07361
| 11 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-14
|
|
2311.06430
|
GOAT: GO to Any Thing
|
https://huggingface.co/papers/2311.06430
| 14 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-14
|
|
2311.07574
|
https://github.com/x2fd/lvis-instruct4v
|
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning
|
https://huggingface.co/papers/2311.07574
| 14 | 0 | 1 | 0 | 1 | 0 | null | 0 |
2023-11-14
|
2311.06772
|
ChatAnything: Facetime Chat with LLM-Enhanced Personas
|
https://huggingface.co/papers/2311.06772
| 33 | 3 | 0 | 0 | 0 | 2 | null | 0 |
2023-11-14
|
|
2311.07069
|
Music ControlNet: Multiple Time-varying Controls for Music Generation
|
https://huggingface.co/papers/2311.07069
| 43 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-14
|
|
2311.07562
|
https://github.com/zzxslp/mm-navigator
|
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation
|
https://huggingface.co/papers/2311.07562
| 12 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-14
|
2311.06753
|
Towards General-Purpose Speech Abilities for Large Language Models Using Unpaired Data
|
https://huggingface.co/papers/2311.06753
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-14
|
|
2311.06697
|
Trusted Source Alignment in Large Language Models
|
https://huggingface.co/papers/2311.06697
| 9 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-14
|
|
2311.06720
|
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
|
https://huggingface.co/papers/2311.06720
| 7 | 0 | 0 | 1 | 0 | 0 | null | 0 |
2023-11-14
|
|
2311.06783
|
https://github.com/Q-Future/Q-Instruct
|
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
|
https://huggingface.co/papers/2311.06783
| 26 | 2 | 1 | 5 | 1 | 1 | null | 0 |
2023-11-14
|
2311.07446
|
Story-to-Motion: Synthesizing Infinite and Controllable Character Animation from Long Text
|
https://huggingface.co/papers/2311.07446
| 27 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-14
|
|
2311.07463
|
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
|
https://huggingface.co/papers/2311.07463
| 13 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-14
|
|
2311.07575
|
https://github.com/alpha-vllm/llama2-accessory
|
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
|
https://huggingface.co/papers/2311.07575
| 11 | 0 | 1 | 5 | 0 | 99 | null | 0 |
2023-11-14
|
2311.06495
|
https://github.com/microsoft/layoutgeneration
|
LayoutPrompter: Awaken the Design Ability of Large Language Models
|
https://huggingface.co/papers/2311.06495
| 10 | 0 | 0 | 0 | 1 | 0 | null | 0 |
2023-11-14
|
2311.07919
|
https://github.com/qwenlm/qwen-audio
|
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
|
https://huggingface.co/papers/2311.07919
| 9 | 0 | 1 | 5 | 0 | 4 | null | 0 |
2023-11-15
|
2311.08403
|
https://github.com/ming1993li/instant3dcodes
|
Instant3D: Instant Text-to-3D Generation
|
https://huggingface.co/papers/2311.08403
| 44 | 3 | 1 | 0 | 0 | 0 | null | 0 |
2023-11-15
|
2311.07590
|
Technical Report: Large Language Models can Strategically Deceive their Users when Put Under Pressure
|
https://huggingface.co/papers/2311.07590
| 15 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-15
|
|
2311.08263
|
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster
|
https://huggingface.co/papers/2311.08263
| 14 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-15
|
|
2311.07885
|
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
|
https://huggingface.co/papers/2311.07885
| 37 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-15
|
|
2311.07587
|
Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?
|
https://huggingface.co/papers/2311.07587
| 3 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-15
|
|
2311.07961
|
The ART of LLM Refinement: Ask, Refine, and Trust
|
https://huggingface.co/papers/2311.07961
| 9 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-15
|
|
2311.08105
|
DiLoCo: Distributed Low-Communication Training of Language Models
|
https://huggingface.co/papers/2311.08105
| 14 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-15
|
|
2311.08401
|
Fine-tuning Language Models for Factuality
|
https://huggingface.co/papers/2311.08401
| 27 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-15
|
|
2311.07689
|
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
|
https://huggingface.co/papers/2311.07689
| 7 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-15
|
|
2311.07989
|
https://github.com/codefuse-ai/awesome-code-llm
|
A Survey on Language Models for Code
|
https://huggingface.co/papers/2311.07989
| 21 | 0 | 1 | 0 | 0 | 0 | null | 0 |
2023-11-15
|
2311.07911
|
https://github.com/google-research/google-research/tree/master/instruction_following_eval
|
Instruction-Following Evaluation for Large Language Models
|
https://huggingface.co/papers/2311.07911
| 18 | 0 | 0 | 24 | 2 | 63 | null | 0 |
2023-11-15
|
2311.09180
|
PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
|
https://huggingface.co/papers/2311.09180
| 7 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.08552
|
UT5: Pretraining Non autoregressive T5 with unrolled denoising
|
https://huggingface.co/papers/2311.08552
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.08734
|
Thread of Thought Unraveling Chaotic Contexts
|
https://huggingface.co/papers/2311.08734
| 4 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.08877
|
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation
|
https://huggingface.co/papers/2311.08877
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.09179
|
SiRA: Sparse Mixture of Low Rank Adaptation
|
https://huggingface.co/papers/2311.09179
| 7 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.09204
|
Fusion-Eval: Integrating Evaluators with LLMs
|
https://huggingface.co/papers/2311.09204
| 5 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.09213
|
GRIM: GRaph-based Interactive narrative visualization for gaMes
|
https://huggingface.co/papers/2311.09213
| 11 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.08692
|
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
|
https://huggingface.co/papers/2311.08692
| 12 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.08667
|
EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio Synthesis
|
https://huggingface.co/papers/2311.08667
| 18 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.09217
|
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model
|
https://huggingface.co/papers/2311.09217
| 21 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.09221
|
Single-Image 3D Human Digitization with Shape-Guided Diffusion
|
https://huggingface.co/papers/2311.09221
| 18 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.08581
|
Drivable 3D Gaussian Avatars
|
https://huggingface.co/papers/2311.08581
| 44 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-16
|
|
2311.08469
|
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations
|
https://huggingface.co/papers/2311.08469
| 10 | 0 | 0 | 0 | 1 | 0 | null | 0 |
2023-11-16
|
|
2311.09227
|
Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
|
https://huggingface.co/papers/2311.09227
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-17
|
|
2311.10090
|
https://github.com/flairox/jaxmarl
|
JaxMARL: Multi-Agent RL Environments in JAX
|
https://huggingface.co/papers/2311.10090
| 6 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-17
|
2311.10091
|
Adaptive Shells for Efficient Neural Radiance Field Rendering
|
https://huggingface.co/papers/2311.10091
| 16 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-17
|
|
2311.09835
|
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks
|
https://huggingface.co/papers/2311.09835
| 7 | 0 | 0 | 0 | 1 | 0 | null | 0 |
2023-11-17
|
|
2311.09277
|
https://github.com/damo-nlp-sg/contrastive-cot
|
Contrastive Chain-of-Thought Prompting
|
https://huggingface.co/papers/2311.09277
| 31 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-17
|
2311.09578
|
Tied-Lora: Enhacing parameter efficiency of LoRA with weight tying
|
https://huggingface.co/papers/2311.09578
| 12 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-17
|
|
2311.09257
|
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
|
https://huggingface.co/papers/2311.09257
| 43 | 6 | 0 | 0 | 1 | 0 | null | 0 |
2023-11-17
|
|
2311.10093
|
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
|
https://huggingface.co/papers/2311.10093
| 55 | 7 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-17
|
|
2311.10538
|
Testing Language Model Agents Safely in the Wild
|
https://huggingface.co/papers/2311.10538
| 9 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-20
|
|
2311.10125
|
https://github.com/lhbuilder/sa-segment-anything
|
UnifiedVisionGPT: Streamlining Vision-Oriented AI through Generalized Multimodal Framework
|
https://huggingface.co/papers/2311.10125
| 4 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-20
|
2311.10122
|
https://github.com/PKU-YuanGroup/Video-LLaVA
|
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
|
https://huggingface.co/papers/2311.10122
| 25 | 1 | 1 | 36 | 0 | 9 | null | 0 |
2023-11-20
|
2311.10709
|
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
|
https://huggingface.co/papers/2311.10709
| 24 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-20
|
|
2311.10111
|
https://github.com/hritikbansal/videocon
|
VideoCon: Robust Video-Language Alignment via Contrast Captions
|
https://huggingface.co/papers/2311.10111
| 7 | 0 | 1 | 1 | 1 | 1 | null | 0 |
2023-11-20
|
2311.10642
|
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers
|
https://huggingface.co/papers/2311.10642
| 23 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-20
|
|
2311.10678
|
https://github.com/Stanford-ILIAD/droc
|
Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections
|
https://huggingface.co/papers/2311.10678
| 5 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-20
|
2311.10126
|
https://github.com/zysxmu/ias-vit
|
I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization
|
https://huggingface.co/papers/2311.10126
| 7 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-20
|
2311.10708
|
SelfEval: Leveraging the discriminative nature of generative models for evaluation
|
https://huggingface.co/papers/2311.10708
| 14 | 0 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-20
|
|
2311.10702
|
https://github.com/allenai/open-instruct
|
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
|
https://huggingface.co/papers/2311.10702
| 18 | 5 | 1 | 68 | 0 | 60 | null | 0 |
2023-11-20
|
2311.10123
|
MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture
|
https://huggingface.co/papers/2311.10123
| 15 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-20
|
|
2311.11315
|
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems
|
https://huggingface.co/papers/2311.11315
| 6 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-21
|
|
2311.11284
|
https://github.com/envision-research/luciddreamer
|
LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
|
https://huggingface.co/papers/2311.11284
| 16 | 1 | 1 | 0 | 0 | 2 | null | 0 |
2023-11-21
|
2311.10794
|
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression
|
https://huggingface.co/papers/2311.10794
| 22 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-21
|
|
2311.11829
|
System 2 Attention (is something you might need too)
|
https://huggingface.co/papers/2311.11829
| 39 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-21
|
|
2311.10982
|
Make Pixels Dance: High-Dynamic Video Generation
|
https://huggingface.co/papers/2311.10982
| 65 | 5 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-21
|
|
2311.10775
|
ToolTalk: Evaluating Tool-Usage in a Conversational Setting
|
https://huggingface.co/papers/2311.10775
| 7 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-21
|
|
2311.12022
|
https://github.com/idavidrein/gpqa
|
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
|
https://huggingface.co/papers/2311.12022
| 24 | 2 | 1 | 0 | 2 | 1 | null | 0 |
2023-11-21
|
2311.11077
|
https://github.com/adapter-hub/adapters
|
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
|
https://huggingface.co/papers/2311.11077
| 24 | 3 | 1 | 0 | 0 | 0 | null | 0 |
2023-11-21
|
2311.11243
|
AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort
|
https://huggingface.co/papers/2311.11243
| 14 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-21
|
|
2311.11255
|
https://github.com/shansongliu/M2UGen
|
M^{2}UGen: Multi-modal Music Understanding and Generation with the Power of Large Language Models
|
https://huggingface.co/papers/2311.11255
| 3 | 1 | 1 | 3 | 0 | 6 | null | 0 |
2023-11-21
|
2311.12015
|
GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration
|
https://huggingface.co/papers/2311.12015
| 4 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-21
|
|
2311.11501
|
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
|
https://huggingface.co/papers/2311.11501
| 32 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-21
|
|
2311.10751
|
https://github.com/openbmb/proagent
|
ProAgent: From Robotic Process Automation to Agentic Process Automation
|
https://huggingface.co/papers/2311.10751
| 8 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-21
|
2311.10770
|
https://github.com/pbelcak/fastbert
|
Exponentially Faster Language Modelling
|
https://huggingface.co/papers/2311.10770
| 117 | 26 | 1 | 1 | 0 | 0 | null | 0 |
2023-11-21
|
2311.11045
|
Orca 2: Teaching Small Language Models How to Reason
|
https://huggingface.co/papers/2311.11045
| 69 | 6 | 0 | 23 | 3 | 74 | null | 0 |
2023-11-21
|
|
2311.10768
|
Memory Augmented Language Models through Mixture of Word Experts
|
https://huggingface.co/papers/2311.10768
| 16 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-21
|
|
2311.12775
|
https://github.com/Anttwo/SuGaR
|
SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
|
https://huggingface.co/papers/2311.12775
| 28 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2023-11-22
|
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