
# ArXiv QA

(TBD) Automated ArXiv question answering via large language models

[Github](https://github.com/taesiri/ArXivQA) | [Homepage](https://arxiv.taesiri.xyz/) | [Simple QA - Hugging Face Space](https://huggingface.co/spaces/taesiri/ClaudeReadsArxiv)

---

# Automated Question Answering with ArXiv Papers


## Latest 25 Papers

- LIME: Localized Image Editing via Attention Regularization in Diffusion
  Models - [[Arxiv](https://arxiv.org/abs/2312.09256)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09256.md)]

- Revisiting Depth Completion from a Stereo Matching Perspective for
  Cross-domain Generalization - [[Arxiv](https://arxiv.org/abs/2312.09254)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09254.md)]

- VL-GPT: A Generative Pre-trained Transformer for Vision and Language
  Understanding and Generation - [[Arxiv](https://arxiv.org/abs/2312.09251)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09251.md)]

- FineControlNet: Fine-level Text Control for Image Generation with
  Spatially Aligned Text Control Injection - [[Arxiv](https://arxiv.org/abs/2312.09252)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09252.md)]

- Single Mesh Diffusion Models with Field Latents for Texture Generation - [[Arxiv](https://arxiv.org/abs/2312.09250)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09250.md)]

- ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining - [[Arxiv](https://arxiv.org/abs/2312.09249)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09249.md)]

- SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds - [[Arxiv](https://arxiv.org/abs/2312.09246)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09246.md)]

- DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral
  Planning States for Autonomous Driving - [[Arxiv](https://arxiv.org/abs/2312.09245)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09245.md)]

- Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate
  Reward Hacking - [[Arxiv](https://arxiv.org/abs/2312.09244)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09244.md)]

- OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural
  Radiance Fields - [[Arxiv](https://arxiv.org/abs/2312.09243)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09243.md)]

- Text2Immersion: Generative Immersive Scene with 3D Gaussians - [[Arxiv](https://arxiv.org/abs/2312.09242)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09242.md)]

- TinyGSM: achieving &gt;80% on GSM8k with small language models - [[Arxiv](https://arxiv.org/abs/2312.09241)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09241.md)]

- Pixel Aligned Language Models - [[Arxiv](https://arxiv.org/abs/2312.09237)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09237.md)]

- A framework for conditional diffusion modelling with applications in
  motif scaffolding for protein design - [[Arxiv](https://arxiv.org/abs/2312.09236)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09236.md)]

- Let's do the time-warp-attend: Learning topological invariants of
  dynamical systems - [[Arxiv](https://arxiv.org/abs/2312.09234)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09234.md)]

- DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System
  for Automated Visual Inspection in Electronics Manufacturing - [[Arxiv](https://arxiv.org/abs/2312.09232)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09232.md)]

- Reliability in Semantic Segmentation: Can We Use Synthetic Data? - [[Arxiv](https://arxiv.org/abs/2312.09231)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09231.md)]

- 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting - [[Arxiv](https://arxiv.org/abs/2312.09228)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09228.md)]

- Mosaic-SDF for 3D Generative Models - [[Arxiv](https://arxiv.org/abs/2312.09222)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09222.md)]

- NestE: Modeling Nested Relational Structures for Knowledge Graph
  Reasoning - [[Arxiv](https://arxiv.org/abs/2312.09219)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09219.md)]

- WikiMuTe: A web-sourced dataset of semantic descriptions for music audio - [[Arxiv](https://arxiv.org/abs/2312.09207)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09207.md)]

- Measurement in the Age of LLMs: An Application to Ideological Scaling - [[Arxiv](https://arxiv.org/abs/2312.09203)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09203.md)]

- Weaving Pathways for Justice with GPT: LLM-driven automated drafting of
  interactive legal applications - [[Arxiv](https://arxiv.org/abs/2312.09198)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09198.md)]

- DIRECT: Deep Active Learning under Imbalance and Label Noise - [[Arxiv](https://arxiv.org/abs/2312.09196)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09196.md)]

- Efficient Online Learning of Contact Force Models for Connector
  Insertion - [[Arxiv](https://arxiv.org/abs/2312.09190)] [[QA](https://github.com/taesiri/ArXivQA/blob/main/papers/2312.09190.md)]


## List of Papers by Year

- [Papers for 2023](https://github.com/taesiri/ArXivQA/blob/main/Papers-2023.md)

- [Papers for 2022](https://github.com/taesiri/ArXivQA/blob/main/Papers-2022.md)

- [Papers for 2021](https://github.com/taesiri/ArXivQA/blob/main/Papers-2021.md)

- [Papers for 2020](https://github.com/taesiri/ArXivQA/blob/main/Papers-2020.md)

- [Papers for 2019](https://github.com/taesiri/ArXivQA/blob/main/Papers-2019.md)

- [Papers for 2018](https://github.com/taesiri/ArXivQA/blob/main/Papers-2018.md)

- [Papers for 2017](https://github.com/taesiri/ArXivQA/blob/main/Papers-2017.md)

- [Papers for 2016](https://github.com/taesiri/ArXivQA/blob/main/Papers-2016.md)

- [Papers for 2015](https://github.com/taesiri/ArXivQA/blob/main/Papers-2015.md)

- [Papers for 2014](https://github.com/taesiri/ArXivQA/blob/main/Papers-2014.md)

- [Papers for 2013](https://github.com/taesiri/ArXivQA/blob/main/Papers-2013.md)

- [Papers for 2012](https://github.com/taesiri/ArXivQA/blob/main/Papers-2012.md)

- [Papers for 2010](https://github.com/taesiri/ArXivQA/blob/main/Papers-2010.md)

- [Papers for 2009](https://github.com/taesiri/ArXivQA/blob/main/Papers-2009.md)


## Acknowledgements

This project is made possible through the generous support of 
[Anthropic](https://www.anthropic.com/), who provided free access to the `Claude-2.1` API.
task_categories:question-answering language:en license:cc-by-4.0 arxiv:2312.09256 arxiv:2312.09254 arxiv:2312.09251 arxiv:2312.09252 arxiv:2312.09250 arxiv:2312.09249 arxiv:2312.09246 arxiv:2312.09245 arxiv:2312.09244 arxiv:2312.09243 arxiv:2312.09242 arxiv:2312.09241 arxiv:2312.09237 arxiv:2312.09236 arxiv:2312.09234 arxiv:2312.09232 arxiv:2312.09231 arxiv:2312.09228 arxiv:2312.09222 arxiv:2312.09219 arxiv:2312.09207 arxiv:2312.09203 arxiv:2312.09198 arxiv:2312.09196 arxiv:2312.09190 region:us
{"language": ["en"], "license": "cc-by-4.0", "task_categories": ["question-answering"], "pretty_name": "ArXiv QA", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "paper_id", "dtype": "string"}, {"name": "model", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 230247613, "num_examples": 155417}], "download_size": 93572389, "dataset_size": 230247613}}
TAGS
#task_categories-question-answering #language-English #license-cc-by-4.0 #arxiv-2312.09256 #arxiv-2312.09254 #arxiv-2312.09251 #arxiv-2312.09252 #arxiv-2312.09250 #arxiv-2312.09249 #arxiv-2312.09246 #arxiv-2312.09245 #arxiv-2312.09244 #arxiv-2312.09243 #arxiv-2312.09242 #arxiv-2312.09241 #arxiv-2312.09237 #arxiv-2312.09236 #arxiv-2312.09234 #arxiv-2312.09232 #arxiv-2312.09231 #arxiv-2312.09228 #arxiv-2312.09222 #arxiv-2312.09219 #arxiv-2312.09207 #arxiv-2312.09203 #arxiv-2312.09198 #arxiv-2312.09196 #arxiv-2312.09190 #region-us 


# ArXiv QA

(TBD) Automated ArXiv question answering via large language models

Github | Homepage | Simple QA - Hugging Face Space

---

# Automated Question Answering with ArXiv Papers


## Latest 25 Papers

- LIME: Localized Image Editing via Attention Regularization in Diffusion
  Models - [Arxiv] [QA]

- Revisiting Depth Completion from a Stereo Matching Perspective for
  Cross-domain Generalization - [Arxiv] [QA]

- VL-GPT: A Generative Pre-trained Transformer for Vision and Language
  Understanding and Generation - [Arxiv] [QA]

- FineControlNet: Fine-level Text Control for Image Generation with
  Spatially Aligned Text Control Injection - [Arxiv] [QA]

- Single Mesh Diffusion Models with Field Latents for Texture Generation - [Arxiv] [QA]

- ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining - [Arxiv] [QA]

- SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds - [Arxiv] [QA]

- DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral
  Planning States for Autonomous Driving - [Arxiv] [QA]

- Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate
  Reward Hacking - [Arxiv] [QA]

- OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural
  Radiance Fields - [Arxiv] [QA]

- Text2Immersion: Generative Immersive Scene with 3D Gaussians - [Arxiv] [QA]

- TinyGSM: achieving &gt;80% on GSM8k with small language models - [Arxiv] [QA]

- Pixel Aligned Language Models - [Arxiv] [QA]

- A framework for conditional diffusion modelling with applications in
  motif scaffolding for protein design - [Arxiv] [QA]

- Let's do the time-warp-attend: Learning topological invariants of
  dynamical systems - [Arxiv] [QA]

- DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System
  for Automated Visual Inspection in Electronics Manufacturing - [Arxiv] [QA]

- Reliability in Semantic Segmentation: Can We Use Synthetic Data? - [Arxiv] [QA]

- 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting - [Arxiv] [QA]

- Mosaic-SDF for 3D Generative Models - [Arxiv] [QA]

- NestE: Modeling Nested Relational Structures for Knowledge Graph
  Reasoning - [Arxiv] [QA]

- WikiMuTe: A web-sourced dataset of semantic descriptions for music audio - [Arxiv] [QA]

- Measurement in the Age of LLMs: An Application to Ideological Scaling - [Arxiv] [QA]

- Weaving Pathways for Justice with GPT: LLM-driven automated drafting of
  interactive legal applications - [Arxiv] [QA]

- DIRECT: Deep Active Learning under Imbalance and Label Noise - [Arxiv] [QA]

- Efficient Online Learning of Contact Force Models for Connector
  Insertion - [Arxiv] [QA]


## List of Papers by Year

- Papers for 2023

- Papers for 2022

- Papers for 2021

- Papers for 2020

- Papers for 2019

- Papers for 2018

- Papers for 2017

- Papers for 2016

- Papers for 2015

- Papers for 2014

- Papers for 2013

- Papers for 2012

- Papers for 2010

- Papers for 2009


## Acknowledgements

This project is made possible through the generous support of 
Anthropic, who provided free access to the 'Claude-2.1' API.
# ArXiv QA

(TBD) Automated ArXiv question answering via large language models

Github | Homepage | Simple QA - Hugging Face Space

--- # Automated Question Answering with ArXiv Papers ## Latest 25 Papers

- LIME: Localized Image Editing via Attention Regularization in Diffusion
  Models - [Arxiv] [QA]

- Revisiting Depth Completion from a Stereo Matching Perspective for
  Cross-domain Generalization - [Arxiv] [QA]

- VL-GPT: A Generative Pre-trained Transformer for Vision and Language
  Understanding and Generation - [Arxiv] [QA]

- FineControlNet: Fine-level Text Control for Image Generation with
  Spatially Aligned Text Control Injection - [Arxiv] [QA]

- Single Mesh Diffusion Models with Field Latents for Texture Generation - [Arxiv] [QA]

- ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining - [Arxiv] [QA]

- SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds - [Arxiv] [QA]

- DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral
  Planning States for Autonomous Driving - [Arxiv] [QA]

- Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate
  Reward Hacking - [Arxiv] [QA]

- OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural
  Radiance Fields - [Arxiv] [QA]

- Text2Immersion: Generative Immersive Scene with 3D Gaussians - [Arxiv] [QA]

- TinyGSM: achieving &gt;80% on GSM8k with small language models - [Arxiv] [QA]

- Pixel Aligned Language Models - [Arxiv] [QA]

- A framework for conditional diffusion modelling with applications in
  motif scaffolding for protein design - [Arxiv] [QA]

- Let's do the time-warp-attend: Learning topological invariants of
  dynamical systems - [Arxiv] [QA]

- DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System
  for Automated Visual Inspection in Electronics Manufacturing - [Arxiv] [QA]

- Reliability in Semantic Segmentation: Can We Use Synthetic Data? - [Arxiv] [QA]

- 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting - [Arxiv] [QA]

- Mosaic-SDF for 3D Generative Models - [Arxiv] [QA]

- NestE: Modeling Nested Relational Structures for Knowledge Graph
  Reasoning - [Arxiv] [QA]

- WikiMuTe: A web-sourced dataset of semantic descriptions for music audio - [Arxiv] [QA]

- Measurement in the Age of LLMs: An Application to Ideological Scaling - [Arxiv] [QA]

- Weaving Pathways for Justice with GPT: LLM-driven automated drafting of
  interactive legal applications - [Arxiv] [QA]

- DIRECT: Deep Active Learning under Imbalance and Label Noise - [Arxiv] [QA]

- Efficient Online Learning of Contact Force Models for Connector
  Insertion - [Arxiv] [QA] ## List of Papers by Year

- Papers for 2023

- Papers for 2022

- Papers for 2021

- Papers for 2020

- Papers for 2019

- Papers for 2018

- Papers for 2017

- Papers for 2016

- Papers for 2015

- Papers for 2014

- Papers for 2013

- Papers for 2012

- Papers for 2010

- Papers for 2009 ## Acknowledgements

This project is made possible through the generous support of 
Anthropic, who provided free access to the 'Claude-2.1' API.
TAGS
#task_categories-question-answering #language-English #license-cc-by-4.0 #arxiv-2312.09256 #arxiv-2312.09254 #arxiv-2312.09251 #arxiv-2312.09252 #arxiv-2312.09250 #arxiv-2312.09249 #arxiv-2312.09246 #arxiv-2312.09245 #arxiv-2312.09244 #arxiv-2312.09243 #arxiv-2312.09242 #arxiv-2312.09241 #arxiv-2312.09237 #arxiv-2312.09236 #arxiv-2312.09234 #arxiv-2312.09232 #arxiv-2312.09231 #arxiv-2312.09228 #arxiv-2312.09222 #arxiv-2312.09219 #arxiv-2312.09207 #arxiv-2312.09203 #arxiv-2312.09198 #arxiv-2312.09196 #arxiv-2312.09190 #region-us 
 # ArXiv QA

(TBD) Automated ArXiv question answering via large language models

Github | Homepage | Simple QA - Hugging Face Space

--- # Automated Question Answering with ArXiv Papers ## Latest 25 Papers

- LIME: Localized Image Editing via Attention Regularization in Diffusion
  Models - [Arxiv] [QA]

- Revisiting Depth Completion from a Stereo Matching Perspective for
  Cross-domain Generalization - [Arxiv] [QA]

- VL-GPT: A Generative Pre-trained Transformer for Vision and Language
  Understanding and Generation - [Arxiv] [QA]

- FineControlNet: Fine-level Text Control for Image Generation with
  Spatially Aligned Text Control Injection - [Arxiv] [QA]

- Single Mesh Diffusion Models with Field Latents for Texture Generation - [Arxiv] [QA]

- ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining - [Arxiv] [QA]

- SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds - [Arxiv] [QA]

- DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral
  Planning States for Autonomous Driving - [Arxiv] [QA]

- Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate
  Reward Hacking - [Arxiv] [QA]

- OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural
  Radiance Fields - [Arxiv] [QA]

- Text2Immersion: Generative Immersive Scene with 3D Gaussians - [Arxiv] [QA]

- TinyGSM: achieving &gt;80% on GSM8k with small language models - [Arxiv] [QA]

- Pixel Aligned Language Models - [Arxiv] [QA]

- A framework for conditional diffusion modelling with applications in
  motif scaffolding for protein design - [Arxiv] [QA]

- Let's do the time-warp-attend: Learning topological invariants of
  dynamical systems - [Arxiv] [QA]

- DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System
  for Automated Visual Inspection in Electronics Manufacturing - [Arxiv] [QA]

- Reliability in Semantic Segmentation: Can We Use Synthetic Data? - [Arxiv] [QA]

- 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting - [Arxiv] [QA]

- Mosaic-SDF for 3D Generative Models - [Arxiv] [QA]

- NestE: Modeling Nested Relational Structures for Knowledge Graph
  Reasoning - [Arxiv] [QA]

- WikiMuTe: A web-sourced dataset of semantic descriptions for music audio - [Arxiv] [QA]

- Measurement in the Age of LLMs: An Application to Ideological Scaling - [Arxiv] [QA]

- Weaving Pathways for Justice with GPT: LLM-driven automated drafting of
  interactive legal applications - [Arxiv] [QA]

- DIRECT: Deep Active Learning under Imbalance and Label Noise - [Arxiv] [QA]

- Efficient Online Learning of Contact Force Models for Connector
  Insertion - [Arxiv] [QA] ## List of Papers by Year

- Papers for 2023

- Papers for 2022

- Papers for 2021

- Papers for 2020

- Papers for 2019

- Papers for 2018

- Papers for 2017

- Papers for 2016

- Papers for 2015

- Papers for 2014

- Papers for 2013

- Papers for 2012

- Papers for 2010

- Papers for 2009 ## Acknowledgements

This project is made possible through the generous support of 
Anthropic, who provided free access to the 'Claude-2.1' API.