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All Explained Papers · cs.CL

1640 papers in cs.CL. Page 8 of 82. ← Back to home

• arXiv:2303.13824 · cs.CL+1 · submitted 2023-03-24 · explained 2026-08-19
  $k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
  Benfeng Xu, Quan Wang, Zhendong Mao, et al.
• arXiv:2303.00001 · cs.LG+2 · submitted 2023-02-27 · explained 2026-08-19
  Reward Design with Language Models
  Minae Kwon, Sang Michael Xie, Kalesha Bullard, et al.
• arXiv:2302.06692 · cs.LG+2 · submitted 2023-02-13 · explained 2026-08-19
  Guiding Pretraining in Reinforcement Learning with Large Language Models
  Yuqing Du, Olivia Watkins, Zihan Wang, et al.
• arXiv:2211.03540 · cs.HC+2 · submitted 2022-11-04 · explained 2026-08-19
  Measuring Progress on Scalable Oversight for Large Language Models
  Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez, et al.
• arXiv:2207.05608 · cs.RO+4 · submitted 2022-07-12 · explained 2026-08-19
  Embodied Reasoning through Planning with Language Models
  Wenlong Huang, Fei Xia, Ted Xiao, et al.
• arXiv:2207.01780 · cs.LG+2 · submitted 2022-07-05 · explained 2026-08-19
  Pretrained Models and Deep Reinforcement Learning
  Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.
• arXiv:2205.13792 · cs.CL · submitted 2022-05-27 · explained 2026-08-19
  kNN-Prompt: Nearest Neighbor Zero-Shot Inference
  Weijia Shi, Julian Michael, Suchin Gururangan, et al.
• arXiv:2204.01691 · cs.RO+2 · submitted 2022-04-04 · explained 2026-08-19
  Do As I Can, Not As I Say: Language in Robotic Affordances
  Michael Ahn, Anthony Brohan, Noah Brown, et al.
• arXiv:1906.07343 · cs.LG+3 · submitted 2019-06-18 · explained 2026-08-19
  Language as an Abstraction for Hierarchical Deep Reinforcement Learning
  Yiding Jiang, Shixiang Gu, Kevin Murphy, et al.
• arXiv:1711.00482 · cs.CL+1 · submitted 2017-11-01 · explained 2026-08-19
  Learning with Latent Language
  Jacob Andreas, Dan Klein, Sergey Levine
• arXiv:2608.16975 · cs.CL+1 · submitted 2026-08-17 · explained 2026-08-19
  Margin-Regularized Structured Semantic Alignment for Brain-Language Correspondence
  Jiaqi Wang, Huawen Hu, Shu Zhang
• arXiv:2608.17050 · cs.CL+1 · submitted 2026-08-17 · explained 2026-08-19
  Cross-Model Memory Transfer via Target-Side Reader Adaptation
  Mingyuan Li, Guangsheng Yu, Xu Wang, et al.
• arXiv:2608.17051 · cs.CL+1 · submitted 2026-08-17 · explained 2026-08-19
  Institution-Specific LLM Prompting Recovers PHI That De-identification Systems and Their Gold Standards Both Miss
  Daniel Palacios, Matthew Brady Neeley, Angel Adetomike Otto, et al.
• arXiv:2608.17075 · cs.CL+1 · submitted 2026-08-17 · explained 2026-08-19
  Foundation Agents Meet Agentic Deep Research: Evidence-Grounded Clinical Code Forecasting
  Junda Wang, Meysam Ghaffari, Akshat Choube, et al.
• arXiv:2608.17084 · cs.CL · submitted 2026-08-17 · explained 2026-08-19
  Uncertainty-Aware Decision Making in Multimodal Large Language Models: A Survey of Sources, Signals, Calibration, and Actions
  Abderrahmene Boudiaf, Irfan Hussain, Sajid Javed
• arXiv:2608.17088 · cs.CL · submitted 2026-08-17 · explained 2026-08-19
  There is No Theoretical Curse of Multilinguality For Embedding Space Structure
  Niyati Bafna, Neha Verma, Vilém Zouhar, et al.
• arXiv:2608.17096 · cs.CL · submitted 2026-08-17 · explained 2026-08-19
  A Glyph Is Not a Letter, a Token Is Not a Word, a Space Is Not a Space: What the Units of Voynichese Are Not
  Liudmila Rozanova, Alexander Temerev
• arXiv:2608.17102 · cs.CL+2 · submitted 2026-08-17 · explained 2026-08-19
  Emotion Across Speech and Faces: Shared Affective Mechanisms in Multimodal Foundation Models
  Xiutian Zhao, Luqi Sun, Björn Schuller, et al.
• arXiv:2608.17120 · cs.CL · submitted 2026-08-17 · explained 2026-08-19
  Children, but not language models, show accelerating returns in word learning
  Michael C. Frank
• arXiv:2608.17153 · cs.CL · submitted 2026-08-17 · explained 2026-08-19
  Towards Safer RAG: Only Agents Capable of System 2 Thinking may Access Untrusted Documents
  Mehrdad Ghassabi