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WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)

Home Page: https://arxiv.taesiri.xyz/

Shell 13.50% Python 86.50%

arxivqa's Introduction

Automated Question Answering with ArXiv Papers

Latest 25 Papers

  • MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions - [Arxiv] [QA]
  • GraspXL: Generating Grasping Motions for Diverse Objects at Scale - [Arxiv] [QA]
  • Human-compatible driving partners through data-regularized self-play reinforcement learning - [Arxiv] [QA]
  • Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models - [Arxiv] [QA]
  • Asymmetric and trial-dependent modeling: the contribution of LIA to SdSV Challenge Task 2 - [Arxiv] [QA]
  • Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models - [Arxiv] [QA]
  • Metric Learning from Limited Pairwise Preference Comparisons - [Arxiv] [QA]
  • Top-$k$ Classification and Cardinality-Aware Prediction - [Arxiv] [QA]
  • RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents - [Arxiv] [QA]
  • Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models - [Arxiv] [QA]
  • SAID-NeRF: Segmentation-AIDed NeRF for Depth Completion of Transparent Objects - [Arxiv] [QA]
  • Semantic Map-based Generation of Navigation Instructions - [Arxiv] [QA]
  • Behavior Trees in Industrial Applications: A Case Study in Underground Explosive Charging - [Arxiv] [QA]
  • Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers - [Arxiv] [QA]
  • DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs - [Arxiv] [QA]
  • Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics - [Arxiv] [QA]
  • Swarm Characteristics Classification Using Neural Networks - [Arxiv] [QA]
  • GrINd: Grid Interpolation Network for Scattered Observations - [Arxiv] [QA]
  • Self-Improved Learning for Scalable Neural Combinatorial Optimization - [Arxiv] [QA]
  • Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset - [Arxiv] [QA]
  • GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM - [Arxiv] [QA]
  • WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models - [Arxiv] [QA]
  • Croissant: A Metadata Format for ML-Ready Datasets - [Arxiv] [QA]
  • Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments - [Arxiv] [QA]
  • Model Stock: All we need is just a few fine-tuned models - [Arxiv] [QA]

List of Papers by Year

Acknowledgements

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

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