arxiv_id stringlengths 10 10 | github stringlengths 0 104 | title stringlengths 15 177 | paper_page stringlengths 40 40 | upvotes int64 0 581 | num_comments int64 0 74 | hf_mention int64 0 1 | num_models int64 0 100 | num_datasets int64 0 100 | num_spaces int64 0 100 | reached_out_link null | reached_out int64 0 0 | date stringclasses 278
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
2307.06290 | Instruction Mining: High-Quality Instruction Data Selection for Large Language Models | https://huggingface.co/papers/2307.06290 | 9 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-13 | |
2307.06350 | T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation | https://huggingface.co/papers/2307.06350 | 6 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-14 | |
2307.06908 | https://github.com/ai21labs/factor | Generating Benchmarks for Factuality Evaluation of Language Models | https://huggingface.co/papers/2307.06908 | 7 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-14 |
2307.06857 | Self-consistency for open-ended generations | https://huggingface.co/papers/2307.06857 | 9 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-14 | |
2307.06940 | https://github.com/videocrafter/animate-a-story | Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation | https://huggingface.co/papers/2307.06940 | 9 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-14 |
2307.06925 | Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models | https://huggingface.co/papers/2307.06925 | 10 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-14 | |
2307.06949 | HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models | https://huggingface.co/papers/2307.06949 | 50 | 6 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-14 | |
2307.06439 | Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events | https://huggingface.co/papers/2307.06439 | 9 | 1 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-14 | |
2307.06942 | https://github.com/opengvlab/internvideo | InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation | https://huggingface.co/papers/2307.06942 | 21 | 0 | 1 | 1 | 3 | 0 | null | 0 | 2023-07-14 |
2307.06945 | https://github.com/getao/icae | In-context Autoencoder for Context Compression in a Large Language Model | https://huggingface.co/papers/2307.06945 | 26 | 0 | 1 | 0 | 0 | 0 | null | 0 | 2023-07-14 |
2307.06962 | https://github.com/um2ii/mist_paper | Copy Is All You Need | https://huggingface.co/papers/2307.06962 | 33 | 3 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-17 |
2307.07218 | Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts | https://huggingface.co/papers/2307.07218 | 26 | 10 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-17 | |
2307.07164 | https://github.com/microsoft/lmops | Learning to Retrieve In-Context Examples for Large Language Models | https://huggingface.co/papers/2307.07164 | 21 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-17 |
2307.07487 | DreamTeacher: Pretraining Image Backbones with Deep Generative Models | https://huggingface.co/papers/2307.07487 | 19 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-17 | |
2307.07047 | DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations | https://huggingface.co/papers/2307.07047 | 15 | 0 | 0 | 0 | 1 | 0 | null | 0 | 2023-07-17 | |
2307.07511 | NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis | https://huggingface.co/papers/2307.07511 | 5 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-17 | |
2307.07947 | https://github.com/Ariostgx/lctgen | Language Conditioned Traffic Generation | https://huggingface.co/papers/2307.07947 | 4 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-18 |
2307.08579 | https://github.com/afeng-x/smt | Scale-Aware Modulation Meet Transformer | https://huggingface.co/papers/2307.08579 | 4 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-18 |
2307.08506 | Does Visual Pretraining Help End-to-End Reasoning? | https://huggingface.co/papers/2307.08506 | 6 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-18 | |
2307.07663 | INVE: Interactive Neural Video Editing | https://huggingface.co/papers/2307.07663 | 8 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-18 | |
2307.08041 | https://github.com/ailab-cvc/seed | Planting a SEED of Vision in Large Language Model | https://huggingface.co/papers/2307.08041 | 9 | 1 | 1 | 0 | 0 | 0 | null | 0 | 2023-07-18 |
2307.08701 | https://github.com/gpt4life/alpagasus | AlpaGasus: Training A Better Alpaca with Fewer Data | https://huggingface.co/papers/2307.08701 | 21 | 0 | 1 | 9 | 3 | 0 | null | 0 | 2023-07-18 |
2307.08702 | Diffusion Models Beat GANs on Image Classification | https://huggingface.co/papers/2307.08702 | 17 | 1 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-18 | |
2307.08581 | BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs | https://huggingface.co/papers/2307.08581 | 27 | 0 | 0 | 0 | 0 | 1 | null | 0 | 2023-07-18 | |
2307.08621 | https://github.com/microsoft/unilm | Retentive Network: A Successor to Transformer for Large Language Models | https://huggingface.co/papers/2307.08621 | 169 | 34 | 1 | 9 | 0 | 2 | null | 0 | 2023-07-18 |
2307.07635 | https://github.com/facebookresearch/co-tracker | CoTracker: It is Better to Track Together | https://huggingface.co/papers/2307.07635 | 10 | 0 | 1 | 1 | 0 | 1 | null | 0 | 2023-07-18 |
2307.08674 | TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT | https://huggingface.co/papers/2307.08674 | 47 | 5 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-18 | |
2307.09233 | Augmenting CLIP with Improved Visio-Linguistic Reasoning | https://huggingface.co/papers/2307.09233 | 7 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-19 | |
2307.09320 | Biomaker CA: a Biome Maker project using Cellular Automata | https://huggingface.co/papers/2307.09320 | 3 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-19 | |
2307.09112 | https://github.com/sail-sg/numcc | NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF | https://huggingface.co/papers/2307.09112 | 8 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-19 |
2307.09009 | https://github.com/lchen001/llmdrift | How is ChatGPT's behavior changing over time? | https://huggingface.co/papers/2307.09009 | 23 | 6 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-19 |
2307.09288 | https://github.com/facebookresearch/llama | Llama 2: Open Foundation and Fine-Tuned Chat Models | https://huggingface.co/papers/2307.09288 | 238 | 19 | 1 | 100 | 10 | 100 | null | 0 | 2023-07-19 |
2307.09458 | Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla | https://huggingface.co/papers/2307.09458 | 10 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-19 | |
2307.10173 | https://github.com/DNA-Rendering/DNA-Rendering | DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering | https://huggingface.co/papers/2307.10173 | 5 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-20 |
2307.10168 | LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs | https://huggingface.co/papers/2307.10168 | 9 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-20 | |
2307.10088 | https://github.com/google-research/google-research | Android in the Wild: A Large-Scale Dataset for Android Device Control | https://huggingface.co/papers/2307.10088 | 10 | 1 | 0 | 0 | 1 | 0 | null | 0 | 2023-07-20 |
2307.09668 | Towards A Unified Agent with Foundation Models | https://huggingface.co/papers/2307.09668 | 12 | 0 | 0 | 0 | 0 | 1 | null | 0 | 2023-07-20 | |
2307.09638 | https://github.com/chandar-lab/cmoptimizer | Promoting Exploration in Memory-Augmented Adam using Critical Momenta | https://huggingface.co/papers/2307.09638 | 2 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-20 |
2307.09781 | Text2Layer: Layered Image Generation using Latent Diffusion Model | https://huggingface.co/papers/2307.09781 | 13 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-20 | |
2307.10159 | https://github.com/sd-fabric/fabric | FABRIC: Personalizing Diffusion Models with Iterative Feedback | https://huggingface.co/papers/2307.10159 | 30 | 1 | 0 | 0 | 0 | 7 | null | 0 | 2023-07-20 |
2307.10169 | Challenges and Applications of Large Language Models | https://huggingface.co/papers/2307.10169 | 47 | 2 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-20 | |
2307.09793 | On the Origin of LLMs: An Evolutionary Tree and Graph for 15,821 Large Language Models | https://huggingface.co/papers/2307.09793 | 46 | 8 | 0 | 0 | 0 | 1 | null | 0 | 2023-07-20 | |
2307.10172 | https://github.com/salesforce/DialogStudio | DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI | https://huggingface.co/papers/2307.10172 | 11 | 0 | 1 | 5 | 2 | 2 | null | 0 | 2023-07-20 |
2307.10373 | TokenFlow: Consistent Diffusion Features for Consistent Video Editing | https://huggingface.co/papers/2307.10373 | 55 | 5 | 0 | 0 | 0 | 3 | null | 0 | 2023-07-21 | |
2307.11078 | Brain2Music: Reconstructing Music from Human Brain Activity | https://huggingface.co/papers/2307.11078 | 40 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-21 | |
2307.10802 | https://github.com/invictus717/MetaTransformer | Meta-Transformer: A Unified Framework for Multimodal Learning | https://huggingface.co/papers/2307.10802 | 41 | 3 | 1 | 1 | 0 | 0 | null | 0 | 2023-07-21 |
2307.10907 | https://github.com/apple/ml-entropy-reconstruction | The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning | https://huggingface.co/papers/2307.10907 | 7 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-21 |
2307.10350 | Improving Multimodal Datasets with Image Captioning | https://huggingface.co/papers/2307.10350 | 9 | 0 | 0 | 0 | 2 | 0 | null | 0 | 2023-07-21 | |
2307.10928 | https://github.com/kaistai/flask | FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets | https://huggingface.co/papers/2307.10928 | 11 | 2 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-21 |
2307.10936 | PASTA: Pretrained Action-State Transformer Agents | https://huggingface.co/papers/2307.10936 | 9 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-21 | |
2307.10635 | https://github.com/mandyyyyii/scibench | SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models | https://huggingface.co/papers/2307.10635 | 7 | 0 | 1 | 0 | 1 | 0 | null | 0 | 2023-07-21 |
2307.10558 | Instruction-following Evaluation through Verbalizer Manipulation | https://huggingface.co/papers/2307.10558 | 3 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-21 | |
2307.11418 | FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields | https://huggingface.co/papers/2307.11418 | 7 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-24 | |
2307.11118 | https://github.com/sWizad/momentum-diffusion | Diffusion Sampling with Momentum for Mitigating Divergence Artifacts | https://huggingface.co/papers/2307.11118 | 7 | 0 | 1 | 0 | 0 | 1 | null | 0 | 2023-07-24 |
2307.11410 | https://github.com/OPPO-Mente-Lab/Subject-Diffusion | Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning | https://huggingface.co/papers/2307.11410 | 15 | 0 | 1 | 0 | 0 | 0 | null | 0 | 2023-07-24 |
2307.11526 | https://github.com/luo-ziyuan/CopyRNeRF-code | CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields | https://huggingface.co/papers/2307.11526 | 11 | 1 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-24 |
2307.12698 | MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features | https://huggingface.co/papers/2307.12698 | 6 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-25 | |
2307.12854 | Multiscale Video Pretraining for Long-Term Activity Forecasting | https://huggingface.co/papers/2307.12854 | 5 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-25 | |
2307.12169 | Optimized Network Architectures for Large Language Model Training with Billions of Parameters | https://huggingface.co/papers/2307.12169 | 9 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-25 | |
2307.11768 | https://github.com/anthropics/decompositionfaithfulnesspaper | Question Decomposition Improves the Faithfulness of Model-Generated Reasoning | https://huggingface.co/papers/2307.11768 | 12 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-25 |
2307.12950 | RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment | https://huggingface.co/papers/2307.12950 | 9 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-25 | |
2307.12612 | https://github.com/huawei-noah/noah-research | Less is More: Focus Attention for Efficient DETR | https://huggingface.co/papers/2307.12612 | 6 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-25 |
2307.12533 | https://github.com/secretflow/spu/tree/main/examples/python/ml/flax_llama7b | PUMA: Secure Inference of LLaMA-7B in Five Minutes | https://huggingface.co/papers/2307.12533 | 13 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-25 |
2307.11795 | Prompting Large Language Models with Speech Recognition Abilities | https://huggingface.co/papers/2307.11795 | 16 | 1 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-25 | |
2307.12560 | Interpolating between Images with Diffusion Models | https://huggingface.co/papers/2307.12560 | 19 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-25 | |
2307.12856 | A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis | https://huggingface.co/papers/2307.12856 | 35 | 1 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-25 | |
2307.12981 | 3D-LLM: Injecting the 3D World into Large Language Models | https://huggingface.co/papers/2307.12981 | 35 | 3 | 0 | 0 | 1 | 0 | null | 0 | 2023-07-25 | |
2307.12976 | https://github.com/edenbiran/rippleedits | Evaluating the Ripple Effects of Knowledge Editing in Language Models | https://huggingface.co/papers/2307.12976 | 11 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-25 |
2307.13269 | https://github.com/sail-sg/lorahub | LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition | https://huggingface.co/papers/2307.13269 | 31 | 2 | 1 | 0 | 0 | 1 | null | 0 | 2023-07-26 |
2307.13692 | ARB: Advanced Reasoning Benchmark for Large Language Models | https://huggingface.co/papers/2307.13692 | 17 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-26 | |
2307.13383 | https://github.com/microsoft/coverage-eval | Predicting Code Coverage without Execution | https://huggingface.co/papers/2307.13383 | 8 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-26 |
2307.13226 | https://github.com/zerg-overmind/strivec | Strivec: Sparse Tri-Vector Radiance Fields | https://huggingface.co/papers/2307.13226 | 5 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-26 |
2307.13101 | https://github.com/khatch31/laeo | Contrastive Example-Based Control | https://huggingface.co/papers/2307.13101 | 4 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-26 |
2307.13924 | https://github.com/nvlabs/trajdata | trajdata: A Unified Interface to Multiple Human Trajectory Datasets | https://huggingface.co/papers/2307.13924 | 2 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-27 |
2307.14008 | https://github.com/microsoft/TokenMixers | Adaptive Frequency Filters As Efficient Global Token Mixers | https://huggingface.co/papers/2307.14008 | 3 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-27 |
2307.14117 | Leveraging Implicit Feedback from Deployment Data in Dialogue | https://huggingface.co/papers/2307.14117 | 4 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-27 | |
2307.13720 | Composite Diffusion | whole >= Σparts | https://huggingface.co/papers/2307.13720 | 8 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-27 | |
2307.14225 | Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences | https://huggingface.co/papers/2307.14225 | 8 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-27 | |
2307.14334 | Towards Generalist Biomedical AI | https://huggingface.co/papers/2307.14334 | 11 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-27 | |
2307.13974 | https://github.com/jiawen-zhu/hqtrack | Tracking Anything in High Quality | https://huggingface.co/papers/2307.13974 | 13 | 2 | 1 | 0 | 0 | 0 | null | 0 | 2023-07-27 |
2307.13854 | https://github.com/web-arena-x/webarena | WebArena: A Realistic Web Environment for Building Autonomous Agents | https://huggingface.co/papers/2307.13854 | 21 | 4 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-27 |
2307.13702 | Measuring Faithfulness in Chain-of-Thought Reasoning | https://huggingface.co/papers/2307.13702 | 27 | 1 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-27 | |
2307.14335 | https://github.com/audio-agi/wavjourney | WavJourney: Compositional Audio Creation with Large Language Models | https://huggingface.co/papers/2307.14335 | 42 | 1 | 1 | 0 | 0 | 2 | null | 0 | 2023-07-27 |
2307.13908 | Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation | https://huggingface.co/papers/2307.13908 | 8 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-27 | |
2307.15042 | TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis | https://huggingface.co/papers/2307.15042 | 6 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-28 | |
2307.14460 | https://github.com/isl-org/MiDaS | MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation | https://huggingface.co/papers/2307.14460 | 7 | 1 | 1 | 4 | 0 | 3 | null | 0 | 2023-07-28 |
2307.13813 | How to Scale Your EMA | https://huggingface.co/papers/2307.13813 | 8 | 4 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-28 | |
2307.14535 | https://github.com/real-stanford/scalingup | Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition | https://huggingface.co/papers/2307.14535 | 13 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-28 |
2307.15063 | https://github.com/MarcBotet/hamlet | To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation | https://huggingface.co/papers/2307.15063 | 15 | 1 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-28 |
2307.14995 | Scaling TransNormer to 175 Billion Parameters | https://huggingface.co/papers/2307.14995 | 21 | 4 | 0 | 8 | 0 | 0 | null | 0 | 2023-07-28 | |
2307.14936 | PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback | https://huggingface.co/papers/2307.14936 | 42 | 2 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-28 | |
2307.14620 | https://github.com/facebookresearch/nerf-det | NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection | https://huggingface.co/papers/2307.14620 | 11 | 0 | 0 | 1 | 0 | 0 | null | 0 | 2023-07-28 |
2307.15504 | https://github.com/thunlp/unifiedinstructiontuning | Exploring Format Consistency for Instruction Tuning | https://huggingface.co/papers/2307.15504 | 5 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-31 |
2307.15131 | https://github.com/windingwind/seal-3d | Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields | https://huggingface.co/papers/2307.15131 | 5 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-31 |
2307.15593 | https://github.com/jthickstun/watermark | Robust Distortion-free Watermarks for Language Models | https://huggingface.co/papers/2307.15593 | 8 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-31 |
2307.15217 | Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback | https://huggingface.co/papers/2307.15217 | 35 | 4 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-31 | |
2307.15189 | https://github.com/snap-stanford/med-flamingo | Med-Flamingo: a Multimodal Medical Few-shot Learner | https://huggingface.co/papers/2307.15189 | 22 | 1 | 1 | 1 | 0 | 0 | null | 0 | 2023-07-31 |
2307.15337 | Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding | https://huggingface.co/papers/2307.15337 | 36 | 2 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-31 | |
2307.15199 | PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization | https://huggingface.co/papers/2307.15199 | 11 | 0 | 0 | 0 | 0 | 0 | null | 0 | 2023-07-31 | |
2307.16125 | https://github.com/ailab-cvc/seed-bench | SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension | https://huggingface.co/papers/2307.16125 | 6 | 2 | 1 | 0 | 0 | 0 | null | 0 | 2023-08-01 |
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