📄 Paper Explainer

All Explained Papers

4176 papers explained. Page 3 of 209. ← Back to home

• arXiv:2305.12524 · explained 2026-09-03
  TheoremQA: A Theorem-driven Question Answering Dataset
• arXiv:1312.4314 · explained 2026-09-03
  Learning Factored Representations in a
• arXiv:2302.12813 · explained 2026-09-03
  Check Y our Facts and Try Again: Improving Large Language Models
• arXiv:2210.00720 · explained 2026-09-03
  COMPLEXITY -BASED PROMPTING FOR MULTI-STEP
• arXiv:1801.07736 · explained 2026-09-03
  Published as a conference paper at ICLR 2018
• arXiv:2602.16666 · explained 2026-09-02
  Towards a Science of AI Agent Reliability
• arXiv:2305.08844 · explained 2026-09-02
  RL4F: Generating Natural Language Feedback with Reinforcement
• arXiv:2312.06648 · explained 2026-09-02
  EMNLP 2024 Main Conference
• arXiv:2305.19860 · explained 2026-09-02
  A Survey on Large Language Models for
• arXiv:1901.11150 · explained 2026-09-01
  Memory-Efficient Adaptive Optimization
• arXiv:2202.08310 · explained 2026-08-31
  Towards Verifiable Federated Learning
• arXiv:2308.12950 · explained 2026-08-31
  Code Llama: Open Foundation Models for Code
• arXiv:1711.05101 · explained 2026-08-31
  Published as a conference paper at ICLR 2019
• arXiv:2502.18581 · explained 2026-08-31
  Scalable Best-of-N Selection for Large Language Models via Self-Certainty
• arXiv:2303.09752 · explained 2026-08-31
  COLT5: Faster Long-Range Transformers with Conditional Computation
• arXiv:2403.15796 · explained 2026-08-31
  Understanding Emergent Abilities of Language
• arXiv:1608.00318 · explained 2026-08-31
  A Neural Knowledge Language Model
• arXiv:2404.15790 · explained 2026-08-31
  Leveraging Large Language Models for Multimodal Search
• arXiv:2307.13269 · explained 2026-08-31
  Published as a conference paper at COLM 2024
• arXiv:2207.12560 · explained 2026-08-31
  AMLB: an AutoML Benchmark